diff --git a/.contentlayer/generated/Doc/syllabus.mdx.json b/.contentlayer/generated/Doc/syllabus.mdx.json
new file mode 100644
index 0000000..2266e67
--- /dev/null
+++ b/.contentlayer/generated/Doc/syllabus.mdx.json
@@ -0,0 +1,153 @@
+{
+  "title": "Introduction to C++",
+  "publishedAt": "2024-05-28T00:00:00.000Z",
+  "updatedAt": "2024-05-28T00:00:00.000Z",
+  "description": "This chapter will introduce you to the basics of C++ programming.",
+  "isPublished": true,
+  "author": [
+    "Prof. Schatz"
+  ],
+  "tags": [
+    "C++"
+  ],
+  "chapterTitle": "Introduction to C++",
+  "chapterIdx": 1,
+  "sectionIdx": 1,
+  "body": {
+    "raw": "\nWelcome to CS 128\\! This course will help expand your programming knowledge through the C++ language and prepare you for future courses and careers in tech. It can be a challenging course but this section is designed to provide the support and structure to help you along the way. If you have any concerns please reach out to me at [drschatz@illinois.edu](mailto:drschatz@illinois.edu).\n\n# Contact Information\n\n### Instructor\n\nProfessor Jule Schatz (you-la shots) _she/her_  \nWebsite: juleschatz.com  \nEmail: [drschatz@illinois.edu](mailto:drschatz@illinois.edu)  \nOffice: 2330 Siebel Center for Comp Sci![][image1]\n\n# Learning Objectives\n\nAt the end of the course, a successful student should be able to:\n\n- Formulate, implement, and test algorithms to solve complex problems from simple specifications.\n- Use object-oriented design to appropriately structure data and couple data and behavior.\n- Organize, compile, and debug C++ projects.\n- Understand the features of computer systems that make them useful for solving problems, including computation, memory, storage, and data access.\n\n# Components\n\n### Lecture\n\n9 am \\- 9:50 am Monday, Wednesday, and Friday in 1404 Siebel Center for Comp Sci.  \nSee the course calendar for specifics and updates.\n\nLecture will include clicker questions via \\<insert clicker app\\>. This is a free app you will need to download and use during lecture. Some clicker question points are based on participation, others on the correct answer (collaboration is allowed).\n\n### Lab\n\nLab is intended to give you an opportunity to work with your peers on a challenging coding assignment. Labs are collaborative but everyone needs to submit their own assignment to get credit. You will have until the following Tuesday at 8pm to submit the work.\n\nPoints will be awarded for attendance and the lab activity. To receive attendance points you must be present at the lab for at least 1 hour 10 minutes of the allotted 1 hour 20 minutes of class.\n\n### Homework\n\nHomework is there to give you practice with the material you just learned in lecture. This is a great way of assessing your own knowledge as well as solidifying your understanding. Homework is always released after lecture and is due before the next class. For example, homework after Monday’s lecture is due Wednesday at 8:59am. There is limited collaboration allowed on the homework assignments. See the collaboration policy below for more details.\n\n### MPs\n\nThere are two main goals of the MPs\n\n1. To give you experience developing a bigger project. From planning, to writing, to testing.\n1. To be a fun and cool application that you can show off to friends or family.\n\nMPs have a no collaboration policy. See the collaboration policy below for more details. Exact deadlines and instructions can be found on the course website.\n\n### Exams\n\nExams are a way to test your knowledge in a proctored environment. There are three 50 minute exams during the semester in the CBTF. The CBTF is a proctored testing center with multiple locations on campus. You will need to pre-register for a time slot at one of their locations for each exam window. For more information see their website, [https://cbtf.illinois.edu/students](https://cbtf.illinois.edu/students).\n\nIf you need accommodations for exams, please see the Students with Disabilities  \nSection of the syllabus and upload your paper work here [https://cbtf.illinois.edu/students/dres](https://cbtf.illinois.edu/students/dres), at least 5 business days before the exam.\n\n**Second Chance Exams**  \nExams are important but can also be scary\\! That is why if you don’t receive a score you are happy with you may take the second chance exam the following week. Your final grade for that exam will be 10% of your lowest score and 90% of the highest score. For example, if you take Exam 2 and get 65% and then take the second chance Exam 2 and get 89%, your final grade for Exam 2 is 86.6%. If you take Exam 2 and get 90% and then take the second chance Exam 2 and get 75% your final grade for Exam 2 will be 88.5%. If you take Exam 2 and get 87% and do not take the second chance Exam 2, your final grade for Exam 2 is 87%.\n\nNote, you must register for a time slot for the second chance exams just like you do for a normal exam. The second chance exam will be on the same material as the original exam but with different questions.\n\n**Exam Schedule**  \nExams and second chance exams run from Tuesday \\- Thursday, except for the second chance Exam 3 which runs from Monday \\- Wednesday due to the end of the semester. Exams cover topics through and including that previous Friday.\n\nExam 1 \\- 50 mins in the CBTF 09/24 \\- 09/26  \nContent \\- Through and including material from 9/20  \nExam 1 Second Chance \\- 50 Mins in the CBTF 10/01 \\- 10/03\n\nExam 2 \\- 50 mins in the CBTF 10/29 \\- 10/31  \nContent \\- Through and including material from 10/25  \nExam 2 Second Chance \\- 50 Mins in the CBTF 11/05- 11/07\n\nExam 3 \\- 50 mins in the CBTF 12/03 \\- 12/05  \nContent \\- Through and including material from 11/22  \nExam 3 Second Chance \\- 50 Mins in the CBTF 12/09 \\- 12/11\n\n## Grades\n\nYou have the opportunity to earn up to 1,000 points in the course. Based on your final number of points you will receive the following grade:\n\n| Points       | Grade |\n| :----------- | :---- |\n| 930 \\- 1,000 | A     |\n| 900 \\- 929   | A-    |\n| 870 \\- 899   | B+    |\n| 830 \\- 869   | B     |\n| 800 \\- 829   | B-    |\n| 770 \\- 799   | C+    |\n| 730 \\- 769   | C     |\n| 700 \\- 729   | C-    |\n| 0 \\- 699     | D     |\n\n\\*\\*Note your points will be rounded up to the nearest whole number and the cutoffs may change slightly in your favor.\n\n## How To Get Points\n\nThe table below describes how to get points for various components in the course. The max number of points per component is different from the available points for lecture, homework, and labs to allow for missed questions, assignments, and attendance. You cannot get more than the Max Points for any component.\n\n| Component | Max Points | Available Points | Points / Instance                                    | Details                                                                                                                                                                                      |\n| :-------- | :--------- | :--------------- | :--------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Lecture   | 100        | 129              | 3 points / Lecture                                   | There will be at least 43 lectures. You receive points at each lecture depending on the clicker questions.                                                                                   |\n| Homework  | 150        | 175              | 7 points / Homework                                  | There will be at least 25 homework assignments over the semester.                                                                                                                            |\n| Labs      | 150        | 175              | 5 points / Lab Attendance 10 points / Lab Assignment | There will be at least 11 lab sessions/assignments over the semester.                                                                                                                        |\n| MPs       | 270        | 270              | 80 \\- 110 points / MP                                | MP 1 \\- Part 1 : 30 points MP 1 \\- Part 2 : 50 points MP 2 \\- Part 1 : 30 points MP 2 \\- Part 2 : 30 points MP 2 \\- Part 3 : 50 points MP 3 \\- Part 1 : 30 points MP 3 \\- Part 2 : 50 points |\n| Exams     | 330        | 330              | 110 points / Exam                                    | There are 3 exams total, but each has a second chance to increase your points for that exam.                                                                                                 |\n\n## Extension Policies\n\nThere are no extensions for homework or labs. However, as indicated in the table above, there is wiggle room for missing assignments or partial credit.\n\nEach MP part is due at 8pm on the deadline indicated on the specifications for that MP. However, you may turn in any part 24 hours late for a 10 point reduction on that part.\n\n\\*If you have extenuating circumstances please contact me. **Unless you were unable to do so, you must contact me BEFORE the deadline to get any relevant accommodations for that assignment or exam.\\***\n\n## How to Get Help\n\nComputer science is challenging but the 128 team is here to help\\!\n\n### Office Hours\n\nThis is a space to come and ask questions and get clarification on course material and assignments. It is normal to come to office hours at least once a week and often more. They will be held virtually and in-person in the basement of Siebel Center for Computer Science. The exact schedule can be found on the course website.\n\n### Discuss Online Forum\n\nLink is on the website. Feel free to post any quick questions you have on there. However, do not post your code for homeworks, labs, or MPs.\n\nWe will do our best to answer your questions as quickly as possible but do not expect an instant response. You may also contribute and answer questions\\! This is a great way to solidify your own understanding. However, remain respectful of everyone’s diverse backgrounds and abilities. We are all here to learn\\!\n\n### Meet with the Professor\n\nIf you are struggling in the course and are not sure how to proceed please reach out to Prof. Schatz via email. I can help you figure out what is going wrong and how to improve from there (I do this for students often).\n\n## Proffice Hours (Professor Office Hours)\n\nWednesday after lecture, 10 \\- 11 am in Prof. Schatz’s office 2330 Siebel Center for Computer Science. Come say “hi” and check out my lego collection\\! I’m happy to answer big picture questions about the course or CS in general or just get to know you a bit better. This is a great opportunity to make a connection with a professor at UIUC.\n\nMy office is a bit hard to find… There is a map above\\!\n\n## Collaboration/Academic Integrity Policy\n\nBelow are the definitions of the two collaboration policies I have for various components. Please note it is always against the academic integrity policy to try and circumvent the autograder.\n\n### Limited Collaboration Allowed\n\nThis means you may work with others to complete the component. However, **you must still submit your own code for grading**.\n\nI recommend implementing buddy programming. This is where everyone codes on their own computer but you may look at and discuss code together. This lets you work together while still forcing you to write the code for yourself. This is important for learning and doing well on the exams\\!\n\nYou may use AI systems for general conceptual questions but not for solutions or specifics. Remember why you are in this course as well as why you are furthering your education. Using AI to get answers may not be helpful for those goals.\n\n**_Components this policy applies to: Lecture clicker questions, lab, and homework._**\n\n### Collaboration NOT Allowed\n\n**This means you must complete the component on your own**. You may NOT ask anyone besides a current course staff member for help. You may NOT use AI on these components. You may NOT look at another student's code NOR share your code with other students. Violating this policy is violating the academic integrity policy and will result in a FAIR violation. A violation can lead to a zero grade on the assignment and a full letter grade reduction in the course.\n\nFor exams you must follow the CBTF policy on what is allowed and what is not allowed. Deviations from this will result in an academic integrity violation.\n\n**_Components this policy applies to: MPs, and Exams._**\n\n## Commitment to Diversity, Equity, and Inclusion\n\nAs the state’s premier public university, the University of Illinois at Urbana-Champaign’s core mission is to serve the interests of the diverse people of the state of Illinois and beyond. The institution thus values inclusion and a pluralistic learning and research environment, one which we respect the varied perspectives and lived experiences of a diverse community and global workforce.\n\nWe support diversity of worldviews, histories, and cultural knowledge across a range of social groups including, but not limited to, race, ethnicity, gender identity, sexual orientation, abilities, economic class, age, religion, and their intersections. The Grainger College of Engineering recognizes that we are learning together in the midst of the Black Lives Matter movement, that Black, Hispanic, and Indigenous voices and contributions have largely either been excluded from, or not recognized in, science and engineering, and that both overt racism and microaggressions threaten the well-being of our students and our university community.\n\nThis course and its social resources like Piazza should be a safe and encouraging learning environment that allows for the open exchange of ideas while also ensuring equitable opportunities and respect for all. Everyone is expected to help establish and maintain an environment where students, staff, and faculty can contribute without fear of personal ridicule, or intolerant or offensive language. If you witness or experience racism, discrimination, microaggressions, or other offensive behavior, you are encouraged to bring this to the attention of the course director or the course staff either directly or anonymously. You can also report these behaviors to the Campus Belonging Office [link](https://diversity.illinois.edu/diversity-campus-culture/belonging-resources/) or CS CARES [link](https://cs.illinois.edu/about/cs-cares).\n\n## Students with Disabilities\n\nDisability Resources and Educational Services (DRES), a unit of the College of Applied Health Sciences, serves as the designated office of the University that coordinates campus-wide services for students with disabilities. DRES obtains and files disability documentation, certifies eligibility for services, and coordinates the planning and provision of auxiliary aids as well as the implementation of modifications and adjustments in academic rules, policies and procedures. Professional staff are available at DRES to provide University students with disability-related consultation and to assist them in obtaining both academic and nonacademic support and services.\n\nAny student with a disability who may need accommodations in this class should obtain an accommodation letter from the Disability Resources and Education Services (DRES) Office. **Accommodations should be made known early in the semester and cannot be retroactively applied to assignments due before the time the accommodation was made known**.\n\n## Statement on Mental Health\n\nDiminished mental health, including significant stress, mood changes, excessive worry, substance/alcohol abuse, or problems with eating and/or sleeping can interfere with optimal academic performance, social development, and emotional well-being. The University of Illinois offers a variety of confidential services including individual and group counseling, crisis intervention, psychiatric services, and specialized screenings at no additional cost. If you or someone you know experiences any of the above mental health concerns, it is strongly encouraged to contact or visit any of the University’s resources provided below. **_Getting help is a smart and courageous thing to do – for yourself and for those who care about you._**\n\nCounseling Center: 217-333-3704, 610 East John Street Champaign, IL 61820\n\nMcKinley Health Center:217-333-2700, 1109 South Lincoln Avenue, Urbana, Illinois 61801\n\nUniversity wellness center: [https://wellness.illinois.edu/](https://wellness.illinois.edu/)\n\n[image1]: data:image/png;base64,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\n",
+    "code": "var Component=(()=>{var mn=Object.create;var W=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var pn=Object.getPrototypeOf,gn=Object.prototype.hasOwnProperty;var V=(d,n)=>()=>(n||d((n={exports:{}}).exports,n),n.exports),xn=(d,n)=>{for(var g in n)W(d,g,{get:n[g],enumerable:!0})},ye=(d,n,g,E)=>{if(n&&typeof n==\"object\"||typeof n==\"function\")for(let v of bn(n))!gn.call(d,v)&&v!==g&&W(d,v,{get:()=>n[v],enumerable:!(E=hn(n,v))||E.enumerable});return d};var vn=(d,n,g)=>(g=d!=null?mn(pn(d)):{},ye(n||!d||!d.__esModule?W(g,\"default\",{value:d,enumerable:!0}):g,d)),En=d=>ye(W({},\"__esModule\",{value:!0}),d);var ke=V((Nn,Ie)=>{Ie.exports=React});var Ne=V(Z=>{\"use strict\";(function(){\"use strict\";var d=ke(),n=Symbol.for(\"react.element\"),g=Symbol.for(\"react.portal\"),E=Symbol.for(\"react.fragment\"),v=Symbol.for(\"react.strict_mode\"),q=Symbol.for(\"react.profiler\"),K=Symbol.for(\"react.provider\"),_=Symbol.for(\"react.context\"),Q=Symbol.for(\"react.forward_ref\"),U=Symbol.for(\"react.suspense\"),D=Symbol.for(\"react.suspense_list\"),P=Symbol.for(\"react.memo\"),R=Symbol.for(\"react.lazy\"),Pe=Symbol.for(\"react.offscreen\"),$=Symbol.iterator,Oe=\"@@iterator\";function Ye(e){if(e===null||typeof e!=\"object\")return null;var r=$&&e[$]||e[Oe];return typeof r==\"function\"?r:null}var y=d.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;function m(e){{for(var r=arguments.length,i=new Array(r>1?r-1:0),s=1;s<r;s++)i[s-1]=arguments[s];Se(\"error\",e,i)}}function Se(e,r,i){{var s=y.ReactDebugCurrentFrame,a=s.getStackAddendum();a!==\"\"&&(r+=\"%s\",i=i.concat([a]));var u=i.map(function(l){return String(l)});u.unshift(\"Warning: \"+r),Function.prototype.apply.call(console[e],console,u)}}var Fe=!1,We=!1,Ue=!1,De=!1,Re=!1,ee;ee=Symbol.for(\"react.module.reference\");function ze(e){return!!(typeof e==\"string\"||typeof e==\"function\"||e===E||e===q||Re||e===v||e===U||e===D||De||e===Pe||Fe||We||Ue||typeof e==\"object\"&&e!==null&&(e.$$typeof===R||e.$$typeof===P||e.$$typeof===K||e.$$typeof===_||e.$$typeof===Q||e.$$typeof===ee||e.getModuleId!==void 0))}function Je(e,r,i){var s=e.displayName;if(s)return s;var a=r.displayName||r.name||\"\";return a!==\"\"?i+\"(\"+a+\")\":i}function ne(e){return e.displayName||\"Context\"}function x(e){if(e==null)return null;if(typeof e.tag==\"number\"&&m(\"Received an unexpected object in getComponentNameFromType(). This is likely a bug in React. Please file an issue.\"),typeof e==\"function\")return e.displayName||e.name||null;if(typeof e==\"string\")return e;switch(e){case E:return\"Fragment\";case g:return\"Portal\";case q:return\"Profiler\";case v:return\"StrictMode\";case U:return\"Suspense\";case D:return\"SuspenseList\"}if(typeof e==\"object\")switch(e.$$typeof){case _:var r=e;return ne(r)+\".Consumer\";case K:var i=e;return ne(i._context)+\".Provider\";case Q:return Je(e,e.render,\"ForwardRef\");case P:var s=e.displayName||null;return s!==null?s:x(e.type)||\"Memo\";case R:{var a=e,u=a._payload,l=a._init;try{return x(l(u))}catch{return null}}}return null}var w=Object.assign,N=0,te,re,ie,se,oe,le,ae;function ue(){}ue.__reactDisabledLog=!0;function Te(){{if(N===0){te=console.log,re=console.info,ie=console.warn,se=console.error,oe=console.group,le=console.groupCollapsed,ae=console.groupEnd;var e={configurable:!0,enumerable:!0,value:ue,writable:!0};Object.defineProperties(console,{info:e,log:e,warn:e,error:e,group:e,groupCollapsed:e,groupEnd:e})}N++}}function He(){{if(N--,N===0){var e={configurable:!0,enumerable:!0,writable:!0};Object.defineProperties(console,{log:w({},e,{value:te}),info:w({},e,{value:re}),warn:w({},e,{value:ie}),error:w({},e,{value:se}),group:w({},e,{value:oe}),groupCollapsed:w({},e,{value:le}),groupEnd:w({},e,{value:ae})})}N<0&&m(\"disabledDepth fell below zero. This is a bug in React. Please file an issue.\")}}var z=y.ReactCurrentDispatcher,J;function O(e,r,i){{if(J===void 0)try{throw Error()}catch(a){var s=a.stack.trim().match(/\\n( *(at )?)/);J=s&&s[1]||\"\"}return`\n`+J+e}}var T=!1,Y;{var Me=typeof WeakMap==\"function\"?WeakMap:Map;Y=new Me}function de(e,r){if(!e||T)return\"\";{var i=Y.get(e);if(i!==void 0)return i}var s;T=!0;var a=Error.prepareStackTrace;Error.prepareStackTrace=void 0;var u;u=z.current,z.current=null,Te();try{if(r){var l=function(){throw Error()};if(Object.defineProperty(l.prototype,\"props\",{set:function(){throw Error()}}),typeof Reflect==\"object\"&&Reflect.construct){try{Reflect.construct(l,[])}catch(b){s=b}Reflect.construct(e,[],l)}else{try{l.call()}catch(b){s=b}e.call(l.prototype)}}else{try{throw Error()}catch(b){s=b}e()}}catch(b){if(b&&s&&typeof b.stack==\"string\"){for(var o=b.stack.split(`\n`),h=s.stack.split(`\n`),c=o.length-1,f=h.length-1;c>=1&&f>=0&&o[c]!==h[f];)f--;for(;c>=1&&f>=0;c--,f--)if(o[c]!==h[f]){if(c!==1||f!==1)do if(c--,f--,f<0||o[c]!==h[f]){var p=`\n`+o[c].replace(\" at new \",\" at \");return e.displayName&&p.includes(\"<anonymous>\")&&(p=p.replace(\"<anonymous>\",e.displayName)),typeof e==\"function\"&&Y.set(e,p),p}while(c>=1&&f>=0);break}}}finally{T=!1,z.current=u,He(),Error.prepareStackTrace=a}var k=e?e.displayName||e.name:\"\",C=k?O(k):\"\";return typeof e==\"function\"&&Y.set(e,C),C}function je(e,r,i){return de(e,!1)}function Ae(e){var r=e.prototype;return!!(r&&r.isReactComponent)}function S(e,r,i){if(e==null)return\"\";if(typeof e==\"function\")return de(e,Ae(e));if(typeof e==\"string\")return O(e);switch(e){case U:return O(\"Suspense\");case D:return O(\"SuspenseList\")}if(typeof e==\"object\")switch(e.$$typeof){case Q:return je(e.render);case P:return S(e.type,r,i);case R:{var s=e,a=s._payload,u=s._init;try{return S(u(a),r,i)}catch{}}}return\"\"}var B=Object.prototype.hasOwnProperty,ce={},fe=y.ReactDebugCurrentFrame;function F(e){if(e){var r=e._owner,i=S(e.type,e._source,r?r.type:null);fe.setExtraStackFrame(i)}else fe.setExtraStackFrame(null)}function Ge(e,r,i,s,a){{var u=Function.call.bind(B);for(var l in e)if(u(e,l)){var o=void 0;try{if(typeof e[l]!=\"function\"){var h=Error((s||\"React class\")+\": \"+i+\" type `\"+l+\"` is invalid; it must be a function, usually from the `prop-types` package, but received `\"+typeof e[l]+\"`.This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`.\");throw h.name=\"Invariant Violation\",h}o=e[l](r,l,s,i,null,\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\")}catch(c){o=c}o&&!(o instanceof Error)&&(F(a),m(\"%s: type specification of %s `%s` is invalid; the type checker function must return `null` or an `Error` but returned a %s. You may have forgotten to pass an argument to the type checker creator (arrayOf, instanceOf, objectOf, oneOf, oneOfType, and shape all require an argument).\",s||\"React class\",i,l,typeof o),F(null)),o instanceof Error&&!(o.message in ce)&&(ce[o.message]=!0,F(a),m(\"Failed %s type: %s\",i,o.message),F(null))}}}var Xe=Array.isArray;function H(e){return Xe(e)}function Ve(e){{var r=typeof Symbol==\"function\"&&Symbol.toStringTag,i=r&&e[Symbol.toStringTag]||e.constructor.name||\"Object\";return i}}function Ze(e){try{return me(e),!1}catch{return!0}}function me(e){return\"\"+e}function he(e){if(Ze(e))return m(\"The provided key is an unsupported type %s. This value must be coerced to a string before before using it here.\",Ve(e)),me(e)}var L=y.ReactCurrentOwner,qe={key:!0,ref:!0,__self:!0,__source:!0},be,pe,M;M={};function Ke(e){if(B.call(e,\"ref\")){var r=Object.getOwnPropertyDescriptor(e,\"ref\").get;if(r&&r.isReactWarning)return!1}return e.ref!==void 0}function _e(e){if(B.call(e,\"key\")){var r=Object.getOwnPropertyDescriptor(e,\"key\").get;if(r&&r.isReactWarning)return!1}return e.key!==void 0}function $e(e,r){if(typeof e.ref==\"string\"&&L.current&&r&&L.current.stateNode!==r){var i=x(L.current.type);M[i]||(m('Component \"%s\" contains the string ref \"%s\". Support for string refs will be removed in a future major release. This case cannot be automatically converted to an arrow function. We ask you to manually fix this case by using useRef() or createRef() instead. Learn more about using refs safely here: https://reactjs.org/link/strict-mode-string-ref',x(L.current.type),e.ref),M[i]=!0)}}function en(e,r){{var i=function(){be||(be=!0,m(\"%s: `key` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)\",r))};i.isReactWarning=!0,Object.defineProperty(e,\"key\",{get:i,configurable:!0})}}function nn(e,r){{var i=function(){pe||(pe=!0,m(\"%s: `ref` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)\",r))};i.isReactWarning=!0,Object.defineProperty(e,\"ref\",{get:i,configurable:!0})}}var tn=function(e,r,i,s,a,u,l){var o={$$typeof:n,type:e,key:r,ref:i,props:l,_owner:u};return o._store={},Object.defineProperty(o._store,\"validated\",{configurable:!1,enumerable:!1,writable:!0,value:!1}),Object.defineProperty(o,\"_self\",{configurable:!1,enumerable:!1,writable:!1,value:s}),Object.defineProperty(o,\"_source\",{configurable:!1,enumerable:!1,writable:!1,value:a}),Object.freeze&&(Object.freeze(o.props),Object.freeze(o)),o};function rn(e,r,i,s,a){{var u,l={},o=null,h=null;i!==void 0&&(he(i),o=\"\"+i),_e(r)&&(he(r.key),o=\"\"+r.key),Ke(r)&&(h=r.ref,$e(r,a));for(u in r)B.call(r,u)&&!qe.hasOwnProperty(u)&&(l[u]=r[u]);if(e&&e.defaultProps){var c=e.defaultProps;for(u in c)l[u]===void 0&&(l[u]=c[u])}if(o||h){var f=typeof e==\"function\"?e.displayName||e.name||\"Unknown\":e;o&&en(l,f),h&&nn(l,f)}return tn(e,o,h,a,s,L.current,l)}}var j=y.ReactCurrentOwner,ge=y.ReactDebugCurrentFrame;function I(e){if(e){var r=e._owner,i=S(e.type,e._source,r?r.type:null);ge.setExtraStackFrame(i)}else ge.setExtraStackFrame(null)}var A;A=!1;function G(e){return typeof e==\"object\"&&e!==null&&e.$$typeof===n}function xe(){{if(j.current){var e=x(j.current.type);if(e)return`\n\nCheck the render method of \\``+e+\"`.\"}return\"\"}}function sn(e){{if(e!==void 0){var r=e.fileName.replace(/^.*[\\\\\\/]/,\"\"),i=e.lineNumber;return`\n\nCheck your code at `+r+\":\"+i+\".\"}return\"\"}}var ve={};function on(e){{var r=xe();if(!r){var i=typeof e==\"string\"?e:e.displayName||e.name;i&&(r=`\n\nCheck the top-level render call using <`+i+\">.\")}return r}}function Ee(e,r){{if(!e._store||e._store.validated||e.key!=null)return;e._store.validated=!0;var i=on(r);if(ve[i])return;ve[i]=!0;var s=\"\";e&&e._owner&&e._owner!==j.current&&(s=\" It was passed a child from \"+x(e._owner.type)+\".\"),I(e),m('Each child in a list should have a unique \"key\" prop.%s%s See https://reactjs.org/link/warning-keys for more information.',i,s),I(null)}}function we(e,r){{if(typeof e!=\"object\")return;if(H(e))for(var i=0;i<e.length;i++){var s=e[i];G(s)&&Ee(s,r)}else if(G(e))e._store&&(e._store.validated=!0);else if(e){var a=Ye(e);if(typeof a==\"function\"&&a!==e.entries)for(var u=a.call(e),l;!(l=u.next()).done;)G(l.value)&&Ee(l.value,r)}}}function ln(e){{var r=e.type;if(r==null||typeof r==\"string\")return;var i;if(typeof r==\"function\")i=r.propTypes;else if(typeof r==\"object\"&&(r.$$typeof===Q||r.$$typeof===P))i=r.propTypes;else return;if(i){var s=x(r);Ge(i,e.props,\"prop\",s,e)}else if(r.PropTypes!==void 0&&!A){A=!0;var a=x(r);m(\"Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?\",a||\"Unknown\")}typeof r.getDefaultProps==\"function\"&&!r.getDefaultProps.isReactClassApproved&&m(\"getDefaultProps is only used on classic React.createClass definitions. Use a static property named `defaultProps` instead.\")}}function an(e){{for(var r=Object.keys(e.props),i=0;i<r.length;i++){var s=r[i];if(s!==\"children\"&&s!==\"key\"){I(e),m(\"Invalid prop `%s` supplied to `React.Fragment`. React.Fragment can only have `key` and `children` props.\",s),I(null);break}}e.ref!==null&&(I(e),m(\"Invalid attribute `ref` supplied to `React.Fragment`.\"),I(null))}}var Ce={};function un(e,r,i,s,a,u){{var l=ze(e);if(!l){var o=\"\";(e===void 0||typeof e==\"object\"&&e!==null&&Object.keys(e).length===0)&&(o+=\" You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports.\");var h=sn(a);h?o+=h:o+=xe();var c;e===null?c=\"null\":H(e)?c=\"array\":e!==void 0&&e.$$typeof===n?(c=\"<\"+(x(e.type)||\"Unknown\")+\" />\",o=\" Did you accidentally export a JSX literal instead of a component?\"):c=typeof e,m(\"React.jsx: type is invalid -- expected a string (for built-in components) or a class/function (for composite components) but got: %s.%s\",c,o)}var f=rn(e,r,i,a,u);if(f==null)return f;if(l){var p=r.children;if(p!==void 0)if(s)if(H(p)){for(var k=0;k<p.length;k++)we(p[k],e);Object.freeze&&Object.freeze(p)}else m(\"React.jsx: Static children should always be an array. You are likely explicitly calling React.jsxs or React.jsxDEV. Use the Babel transform instead.\");else we(p,e)}if(B.call(r,\"key\")){var C=x(e),b=Object.keys(r).filter(function(fn){return fn!==\"key\"}),X=b.length>0?\"{key: someKey, \"+b.join(\": ..., \")+\": ...}\":\"{key: someKey}\";if(!Ce[C+X]){var cn=b.length>0?\"{\"+b.join(\": ..., \")+\": ...}\":\"{}\";m(`A props object containing a \"key\" prop is being spread into JSX:\n  let props = %s;\n  <%s {...props} />\nReact keys must be passed directly to JSX without using spread:\n  let props = %s;\n  <%s key={someKey} {...props} />`,X,C,cn,C),Ce[C+X]=!0}}return e===E?an(f):ln(f),f}}var dn=un;Z.Fragment=E,Z.jsxDEV=dn})()});var Le=V((Ln,Be)=>{\"use strict\";Be.exports=Ne()});var In={};xn(In,{default:()=>yn,frontmatter:()=>wn});var t=vn(Le()),wn={title:\"Introduction to C++\",description:\"This chapter will introduce you to the basics of C++ programming.\",author:[\"Prof. Schatz\"],publishedAt:\"2024-05-28\",updatedAt:\"2024-05-28\",isPublished:!0,tags:[\"C++\"],chapterTitle:\"Introduction to C++\",chapterIdx:1,sectionIdx:1};function Qe(d){let n=Object.assign({p:\"p\",a:\"a\",h1:\"h1\",h3:\"h3\",em:\"em\",br:\"br\",img:\"img\",ul:\"ul\",li:\"li\",ol:\"ol\",strong:\"strong\",h2:\"h2\"},d.components);return(0,t.jsxDEV)(t.Fragment,{children:[(0,t.jsxDEV)(n.p,{children:[\"Welcome to CS 128! This course will help expand your programming knowledge through the C++ language and prepare you for future courses and careers in tech. It can be a challenging course but this section is designed to provide the support and structure to help you along the way. If you have any concerns please reach out to me at \",(0,t.jsxDEV)(n.a,{href:\"mailto:drschatz@illinois.edu\",children:\"drschatz@illinois.edu\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:16,columnNumber:333},this),\".\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:16,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h1,{children:\"Contact Information\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:18,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Instructor\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:20,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Professor Jule Schatz (you-la shots) \",(0,t.jsxDEV)(n.em,{children:\"she/her\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:22,columnNumber:38},this),(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:22,columnNumber:47},this),`\n`,\"Website: juleschatz.com\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:23,columnNumber:24},this),`\n`,\"Email: \",(0,t.jsxDEV)(n.a,{href:\"mailto:drschatz@illinois.edu\",children:\"drschatz@illinois.edu\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:24,columnNumber:8},this),(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:24,columnNumber:61},this),`\n`,\"Office: 2330 Siebel Center for Comp Sci\",(0,t.jsxDEV)(n.img,{src:\"data:image/png;base64,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\",alt:\"\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:25,columnNumber:40},this)]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:22,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h1,{children:\"Learning Objectives\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:27,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"At the end of the course, a successful student should be able to:\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:29,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.ul,{children:[`\n`,(0,t.jsxDEV)(n.li,{children:\"Formulate, implement, and test algorithms to solve complex problems from simple specifications.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:31,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.li,{children:\"Use object-oriented design to appropriately structure data and couple data and behavior.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:32,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.li,{children:\"Organize, compile, and debug C++ projects.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:33,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.li,{children:\"Understand the features of computer systems that make them useful for solving problems, including computation, memory, storage, and data access.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:34,columnNumber:1},this),`\n`]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:31,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h1,{children:\"Components\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:36,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Lecture\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:38,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"9 am - 9:50 am Monday, Wednesday, and Friday in 1404 Siebel Center for Comp Sci.\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:40,columnNumber:82},this),`\n`,\"See the course calendar for specifics and updates.\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:40,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Lecture will include clicker questions via <insert clicker app>. This is a free app you will need to download and use during lecture. Some clicker question points are based on participation, others on the correct answer (collaboration is allowed).\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:43,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Lab\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:45,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Lab is intended to give you an opportunity to work with your peers on a challenging coding assignment. Labs are collaborative but everyone needs to submit their own assignment to get credit. You will have until the following Tuesday at 8pm to submit the work.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:47,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Points will be awarded for attendance and the lab activity. To receive attendance points you must be present at the lab for at least 1 hour 10 minutes of the allotted 1 hour 20 minutes of class.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:49,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Homework\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:51,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Homework is there to give you practice with the material you just learned in lecture. This is a great way of assessing your own knowledge as well as solidifying your understanding. Homework is always released after lecture and is due before the next class. For example, homework after Monday\\u2019s lecture is due Wednesday at 8:59am. There is limited collaboration allowed on the homework assignments. See the collaboration policy below for more details.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:53,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"MPs\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:55,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"There are two main goals of the MPs\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:57,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.ol,{children:[`\n`,(0,t.jsxDEV)(n.li,{children:\"To give you experience developing a bigger project. From planning, to writing, to testing.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:59,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.li,{children:\"To be a fun and cool application that you can show off to friends or family.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:60,columnNumber:1},this),`\n`]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:59,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"MPs have a no collaboration policy. See the collaboration policy below for more details. Exact deadlines and instructions can be found on the course website.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:62,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Exams\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:64,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Exams are a way to test your knowledge in a proctored environment. There are three 50 minute exams during the semester in the CBTF. The CBTF is a proctored testing center with multiple locations on campus. You will need to pre-register for a time slot at one of their locations for each exam window. For more information see their website, \",(0,t.jsxDEV)(n.a,{href:\"https://cbtf.illinois.edu/students\",children:\"https://cbtf.illinois.edu/students\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:66,columnNumber:341},this),\".\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:66,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"If you need accommodations for exams, please see the Students with Disabilities\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:68,columnNumber:80},this),`\n`,\"Section of the syllabus and upload your paper work here \",(0,t.jsxDEV)(n.a,{href:\"https://cbtf.illinois.edu/students/dres\",children:\"https://cbtf.illinois.edu/students/dres\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:69,columnNumber:57},this),\", at least 5 business days before the exam.\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:68,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[(0,t.jsxDEV)(n.strong,{children:\"Second Chance Exams\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:71,columnNumber:1},this),(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:71,columnNumber:24},this),`\n`,\"Exams are important but can also be scary! That is why if you don\\u2019t receive a score you are happy with you may take the second chance exam the following week. Your final grade for that exam will be 10% of your lowest score and 90% of the highest score. For example, if you take Exam 2 and get 65% and then take the second chance Exam 2 and get 89%, your final grade for Exam 2 is 86.6%. If you take Exam 2 and get 90% and then take the second chance Exam 2 and get 75% your final grade for Exam 2 will be 88.5%. If you take Exam 2 and get 87% and do not take the second chance Exam 2, your final grade for Exam 2 is 87%.\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:71,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Note, you must register for a time slot for the second chance exams just like you do for a normal exam. The second chance exam will be on the same material as the original exam but with different questions.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:74,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[(0,t.jsxDEV)(n.strong,{children:\"Exam Schedule\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:76,columnNumber:1},this),(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:76,columnNumber:18},this),`\n`,\"Exams and second chance exams run from Tuesday - Thursday, except for the second chance Exam 3 which runs from Monday - Wednesday due to the end of the semester. Exams cover topics through and including that previous Friday.\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:76,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Exam 1 - 50 mins in the CBTF 09/24 - 09/26\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:79,columnNumber:45},this),`\n`,\"Content - Through and including material from 9/20\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:80,columnNumber:52},this),`\n`,\"Exam 1 Second Chance - 50 Mins in the CBTF 10/01 - 10/03\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:79,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Exam 2 - 50 mins in the CBTF 10/29 - 10/31\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:83,columnNumber:45},this),`\n`,\"Content - Through and including material from 10/25\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:84,columnNumber:53},this),`\n`,\"Exam 2 Second Chance - 50 Mins in the CBTF 11/05- 11/07\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:83,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Exam 3 - 50 mins in the CBTF 12/03 - 12/05\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:87,columnNumber:45},this),`\n`,\"Content - Through and including material from 11/22\",(0,t.jsxDEV)(n.br,{},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:88,columnNumber:53},this),`\n`,\"Exam 3 Second Chance - 50 Mins in the CBTF 12/09 - 12/11\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:87,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Grades\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:91,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"You have the opportunity to earn up to 1,000 points in the course. Based on your final number of points you will receive the following grade:\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:93,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:`| Points       | Grade |\n| :----------- | :---- |\n| 930 - 1,000 | A     |\n| 900 - 929   | A-    |\n| 870 - 899   | B+    |\n| 830 - 869   | B     |\n| 800 - 829   | B-    |\n| 770 - 799   | C+    |\n| 730 - 769   | C     |\n| 700 - 729   | C-    |\n| 0 - 699     | D     |`},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:95,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"**Note your points will be rounded up to the nearest whole number and the cutoffs may change slightly in your favor.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:107,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"How To Get Points\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:109,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"The table below describes how to get points for various components in the course. The max number of points per component is different from the available points for lecture, homework, and labs to allow for missed questions, assignments, and attendance. You cannot get more than the Max Points for any component.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:111,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:`| Component | Max Points | Available Points | Points / Instance                                    | Details                                                                                                                                                                                      |\n| :-------- | :--------- | :--------------- | :--------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Lecture   | 100        | 129              | 3 points / Lecture                                   | There will be at least 43 lectures. You receive points at each lecture depending on the clicker questions.                                                                                   |\n| Homework  | 150        | 175              | 7 points / Homework                                  | There will be at least 25 homework assignments over the semester.                                                                                                                            |\n| Labs      | 150        | 175              | 5 points / Lab Attendance 10 points / Lab Assignment | There will be at least 11 lab sessions/assignments over the semester.                                                                                                                        |\n| MPs       | 270        | 270              | 80 - 110 points / MP                                | MP 1 - Part 1 : 30 points MP 1 - Part 2 : 50 points MP 2 - Part 1 : 30 points MP 2 - Part 2 : 30 points MP 2 - Part 3 : 50 points MP 3 - Part 1 : 30 points MP 3 - Part 2 : 50 points |\n| Exams     | 330        | 330              | 110 points / Exam                                    | There are 3 exams total, but each has a second chance to increase your points for that exam.                                                                                                 |`},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:113,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Extension Policies\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:121,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"There are no extensions for homework or labs. However, as indicated in the table above, there is wiggle room for missing assignments or partial credit.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:123,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Each MP part is due at 8pm on the deadline indicated on the specifications for that MP. However, you may turn in any part 24 hours late for a 10 point reduction on that part.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:125,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"*If you have extenuating circumstances please contact me. \",(0,t.jsxDEV)(n.strong,{children:\"Unless you were unable to do so, you must contact me BEFORE the deadline to get any relevant accommodations for that assignment or exam.*\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:127,columnNumber:60},this)]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:127,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"How to Get Help\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:129,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Computer science is challenging but the 128 team is here to help!\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:131,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Office Hours\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:133,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"This is a space to come and ask questions and get clarification on course material and assignments. It is normal to come to office hours at least once a week and often more. They will be held virtually and in-person in the basement of Siebel Center for Computer Science. The exact schedule can be found on the course website.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:135,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Discuss Online Forum\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:137,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Link is on the website. Feel free to post any quick questions you have on there. However, do not post your code for homeworks, labs, or MPs.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:139,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"We will do our best to answer your questions as quickly as possible but do not expect an instant response. You may also contribute and answer questions! This is a great way to solidify your own understanding. However, remain respectful of everyone\\u2019s diverse backgrounds and abilities. We are all here to learn!\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:141,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Meet with the Professor\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:143,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"If you are struggling in the course and are not sure how to proceed please reach out to Prof. Schatz via email. I can help you figure out what is going wrong and how to improve from there (I do this for students often).\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:145,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Proffice Hours (Professor Office Hours)\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:147,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Wednesday after lecture, 10 - 11 am in Prof. Schatz\\u2019s office 2330 Siebel Center for Computer Science. Come say \\u201Chi\\u201D and check out my lego collection! I\\u2019m happy to answer big picture questions about the course or CS in general or just get to know you a bit better. This is a great opportunity to make a connection with a professor at UIUC.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:149,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"My office is a bit hard to find\\u2026 There is a map above!\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:151,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Collaboration/Academic Integrity Policy\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:153,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Below are the definitions of the two collaboration policies I have for various components. Please note it is always against the academic integrity policy to try and circumvent the autograder.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:155,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Limited Collaboration Allowed\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:157,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"This means you may work with others to complete the component. However, \",(0,t.jsxDEV)(n.strong,{children:\"you must still submit your own code for grading\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:159,columnNumber:73},this),\".\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:159,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"I recommend implementing buddy programming. This is where everyone codes on their own computer but you may look at and discuss code together. This lets you work together while still forcing you to write the code for yourself. This is important for learning and doing well on the exams!\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:161,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"You may use AI systems for general conceptual questions but not for solutions or specifics. Remember why you are in this course as well as why you are furthering your education. Using AI to get answers may not be helpful for those goals.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:163,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:(0,t.jsxDEV)(n.strong,{children:(0,t.jsxDEV)(n.em,{children:\"Components this policy applies to: Lecture clicker questions, lab, and homework.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:165,columnNumber:3},this)},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:165,columnNumber:1},this)},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:165,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h3,{children:\"Collaboration NOT Allowed\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:167,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[(0,t.jsxDEV)(n.strong,{children:\"This means you must complete the component on your own\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:169,columnNumber:1},this),\". You may NOT ask anyone besides a current course staff member for help. You may NOT use AI on these components. You may NOT look at another student's code NOR share your code with other students. Violating this policy is violating the academic integrity policy and will result in a FAIR violation. A violation can lead to a zero grade on the assignment and a full letter grade reduction in the course.\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:169,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"For exams you must follow the CBTF policy on what is allowed and what is not allowed. Deviations from this will result in an academic integrity violation.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:171,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:(0,t.jsxDEV)(n.strong,{children:(0,t.jsxDEV)(n.em,{children:\"Components this policy applies to: MPs, and Exams.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:173,columnNumber:3},this)},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:173,columnNumber:1},this)},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:173,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Commitment to Diversity, Equity, and Inclusion\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:175,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"As the state\\u2019s premier public university, the University of Illinois at Urbana-Champaign\\u2019s core mission is to serve the interests of the diverse people of the state of Illinois and beyond. The institution thus values inclusion and a pluralistic learning and research environment, one which we respect the varied perspectives and lived experiences of a diverse community and global workforce.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:177,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"We support diversity of worldviews, histories, and cultural knowledge across a range of social groups including, but not limited to, race, ethnicity, gender identity, sexual orientation, abilities, economic class, age, religion, and their intersections. The Grainger College of Engineering recognizes that we are learning together in the midst of the Black Lives Matter movement, that Black, Hispanic, and Indigenous voices and contributions have largely either been excluded from, or not recognized in, science and engineering, and that both overt racism and microaggressions threaten the well-being of our students and our university community.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:179,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"This course and its social resources like Piazza should be a safe and encouraging learning environment that allows for the open exchange of ideas while also ensuring equitable opportunities and respect for all. Everyone is expected to help establish and maintain an environment where students, staff, and faculty can contribute without fear of personal ridicule, or intolerant or offensive language. If you witness or experience racism, discrimination, microaggressions, or other offensive behavior, you are encouraged to bring this to the attention of the course director or the course staff either directly or anonymously. You can also report these behaviors to the Campus Belonging Office \",(0,t.jsxDEV)(n.a,{href:\"https://diversity.illinois.edu/diversity-campus-culture/belonging-resources/\",children:\"link\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:181,columnNumber:693},this),\" or CS CARES \",(0,t.jsxDEV)(n.a,{href:\"https://cs.illinois.edu/about/cs-cares\",children:\"link\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:181,columnNumber:790},this),\".\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:181,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Students with Disabilities\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:183,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Disability Resources and Educational Services (DRES), a unit of the College of Applied Health Sciences, serves as the designated office of the University that coordinates campus-wide services for students with disabilities. DRES obtains and files disability documentation, certifies eligibility for services, and coordinates the planning and provision of auxiliary aids as well as the implementation of modifications and adjustments in academic rules, policies and procedures. Professional staff are available at DRES to provide University students with disability-related consultation and to assist them in obtaining both academic and nonacademic support and services.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:185,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Any student with a disability who may need accommodations in this class should obtain an accommodation letter from the Disability Resources and Education Services (DRES) Office. \",(0,t.jsxDEV)(n.strong,{children:\"Accommodations should be made known early in the semester and cannot be retroactively applied to assignments due before the time the accommodation was made known\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:187,columnNumber:179},this),\".\"]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:187,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.h2,{children:\"Statement on Mental Health\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:189,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"Diminished mental health, including significant stress, mood changes, excessive worry, substance/alcohol abuse, or problems with eating and/or sleeping can interfere with optimal academic performance, social development, and emotional well-being. The University of Illinois offers a variety of confidential services including individual and group counseling, crisis intervention, psychiatric services, and specialized screenings at no additional cost. If you or someone you know experiences any of the above mental health concerns, it is strongly encouraged to contact or visit any of the University\\u2019s resources provided below. \",(0,t.jsxDEV)(n.strong,{children:(0,t.jsxDEV)(n.em,{children:\"Getting help is a smart and courageous thing to do \\u2013 for yourself and for those who care about you.\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:191,columnNumber:631},this)},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:191,columnNumber:629},this)]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:191,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"Counseling Center: 217-333-3704, 610 East John Street Champaign, IL 61820\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:193,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:\"McKinley Health Center:217-333-2700, 1109 South Lincoln Avenue, Urbana, Illinois 61801\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:195,columnNumber:1},this),`\n`,(0,t.jsxDEV)(n.p,{children:[\"University wellness center: \",(0,t.jsxDEV)(n.a,{href:\"https://wellness.illinois.edu/\",children:\"https://wellness.illinois.edu/\"},void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:197,columnNumber:29},this)]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:197,columnNumber:1},this)]},void 0,!0,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\",lineNumber:1,columnNumber:1},this)}function Cn(d={}){let{wrapper:n}=d.components||{};return n?(0,t.jsxDEV)(n,Object.assign({},d,{children:(0,t.jsxDEV)(Qe,d,void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\"},this)}),void 0,!1,{fileName:\"/Users/lumixu/Desktop/cs128-live-new/content/_mdx_bundler_entry_point-df114202-e1fb-4554-8d60-84d4a6334506.mdx\"},this):Qe(d)}var yn=Cn;return En(In);})();\n/*! Bundled license information:\n\nreact/cjs/react-jsx-dev-runtime.development.js:\n  (**\n   * @license React\n   * react-jsx-dev-runtime.development.js\n   *\n   * Copyright (c) Facebook, Inc. and its affiliates.\n   *\n   * This source code is licensed under the MIT license found in the\n   * LICENSE file in the root directory of this source tree.\n   *)\n*/\n;return Component;"
+  },
+  "_id": "syllabus.mdx",
+  "_raw": {
+    "sourceFilePath": "syllabus.mdx",
+    "sourceFileName": "syllabus.mdx",
+    "sourceFileDir": ".",
+    "contentType": "mdx",
+    "flattenedPath": "syllabus"
+  },
+  "type": "Doc",
+  "url": "/course-book/syllabus",
+  "readingTime": {
+    "text": "13 min read",
+    "minutes": 12.295,
+    "time": 737700,
+    "words": 2459
+  },
+  "toc": [
+    {
+      "level": "one",
+      "text": "Contact Information",
+      "slug": "contact-information"
+    },
+    {
+      "level": "three",
+      "text": "Instructor",
+      "slug": "instructor"
+    },
+    {
+      "level": "one",
+      "text": "Learning Objectives",
+      "slug": "learning-objectives"
+    },
+    {
+      "level": "one",
+      "text": "Components",
+      "slug": "components"
+    },
+    {
+      "level": "three",
+      "text": "Lecture",
+      "slug": "lecture"
+    },
+    {
+      "level": "three",
+      "text": "Lab",
+      "slug": "lab"
+    },
+    {
+      "level": "three",
+      "text": "Homework",
+      "slug": "homework"
+    },
+    {
+      "level": "three",
+      "text": "MPs",
+      "slug": "mps"
+    },
+    {
+      "level": "three",
+      "text": "Exams",
+      "slug": "exams"
+    },
+    {
+      "level": "two",
+      "text": "Grades",
+      "slug": "grades"
+    },
+    {
+      "level": "two",
+      "text": "How To Get Points",
+      "slug": "how-to-get-points"
+    },
+    {
+      "level": "two",
+      "text": "Extension Policies",
+      "slug": "extension-policies"
+    },
+    {
+      "level": "two",
+      "text": "How to Get Help",
+      "slug": "how-to-get-help"
+    },
+    {
+      "level": "three",
+      "text": "Office Hours",
+      "slug": "office-hours"
+    },
+    {
+      "level": "three",
+      "text": "Discuss Online Forum",
+      "slug": "discuss-online-forum"
+    },
+    {
+      "level": "three",
+      "text": "Meet with the Professor",
+      "slug": "meet-with-the-professor"
+    },
+    {
+      "level": "two",
+      "text": "Proffice Hours (Professor Office Hours)",
+      "slug": "proffice-hours-professor-office-hours"
+    },
+    {
+      "level": "two",
+      "text": "Collaboration/Academic Integrity Policy",
+      "slug": "collaborationacademic-integrity-policy"
+    },
+    {
+      "level": "three",
+      "text": "Limited Collaboration Allowed",
+      "slug": "limited-collaboration-allowed"
+    },
+    {
+      "level": "three",
+      "text": "Collaboration NOT Allowed",
+      "slug": "collaboration-not-allowed"
+    },
+    {
+      "level": "two",
+      "text": "Commitment to Diversity, Equity, and Inclusion",
+      "slug": "commitment-to-diversity-equity-and-inclusion"
+    },
+    {
+      "level": "two",
+      "text": "Students with Disabilities",
+      "slug": "students-with-disabilities"
+    },
+    {
+      "level": "two",
+      "text": "Statement on Mental Health",
+      "slug": "statement-on-mental-health"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/lib/getPostMetadata.js b/lib/getPostMetadata.js
new file mode 100644
index 0000000..14898f1
--- /dev/null
+++ b/lib/getPostMetadata.js
@@ -0,0 +1,19 @@
+import fs from "fs";
+import matter from "gray-matter";
+
+export default function getPostMetadata(basePath) {
+  const folder = basePath + "/";
+  const files = fs.readdirSync(folder);
+  const markdownPosts = files.filter((file) => file.endsWith(".md"));
+
+  // get the file data
+  const posts = markdownPosts.map((filename) => {
+    const fileContents = fs.readFileSync(`${basePath}/${filename}`, "utf8");
+    const matterResult = matter(fileContents);
+    return {
+      title: matterResult.data.title,
+      slug: filename.replace(".md", ""),
+    };
+  });
+  return posts;
+}
diff --git a/package-lock.json b/package-lock.json
index 65eb13b..6232d0f 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -17,6 +17,8 @@
         "contentlayer": "^0.3.4",
         "date-fns": "^3.6.0",
         "github-slugger": "^2.0.0",
+        "gray-matter": "^4.0.3",
+        "markdown-to-jsx": "^7.4.7",
         "next": "13.5.4",
         "next-contentlayer": "^0.3.4",
         "react": "^18",
@@ -5325,6 +5327,17 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/markdown-to-jsx": {
+      "version": "7.4.7",
+      "resolved": "https://registry.npmjs.org/markdown-to-jsx/-/markdown-to-jsx-7.4.7.tgz",
+      "integrity": "sha512-0+ls1IQZdU6cwM1yu0ZjjiVWYtkbExSyUIFU2ZeDIFuZM1W42Mh4OlJ4nb4apX4H8smxDHRdFaoIVJGwfv5hkg==",
+      "engines": {
+        "node": ">= 10"
+      },
+      "peerDependencies": {
+        "react": ">= 0.14.0"
+      }
+    },
     "node_modules/mdast-util-definitions": {
       "version": "5.1.2",
       "resolved": "https://registry.npmjs.org/mdast-util-definitions/-/mdast-util-definitions-5.1.2.tgz",
diff --git a/package.json b/package.json
index 6431558..7748fd8 100644
--- a/package.json
+++ b/package.json
@@ -18,6 +18,8 @@
     "contentlayer": "^0.3.4",
     "date-fns": "^3.6.0",
     "github-slugger": "^2.0.0",
+    "gray-matter": "^4.0.3",
+    "markdown-to-jsx": "^7.4.7",
     "next": "13.5.4",
     "next-contentlayer": "^0.3.4",
     "react": "^18",
diff --git a/src/app/course-book/[chapter]/[section]/page.js b/src/app/course-book/[chapter]/[section]/page.js
index e56d130..ef9fd1f 100644
--- a/src/app/course-book/[chapter]/[section]/page.js
+++ b/src/app/course-book/[chapter]/[section]/page.js
@@ -3,8 +3,8 @@
 import { useParams } from "next/navigation";
 
 import { allDocs } from "@/.contentlayer/generated";
-import DocDetails from "@/src/components/Doc/DocDetails";
 import RenderMdx from "@/src/components/Doc/RenderMdx";
+// import DocDetails from "@/src/components/Doc/DocDetails";
 
 const DocPage = () => {
   const params = useParams();
@@ -29,7 +29,6 @@ const DocPage = () => {
         </div>
         <div className="absolute top-0 left-0 right-0 bottom-0 h-full bg-dark/60 dark:bg-dark/40" />
       </div>
-      {/* <DocDetails doc={doc} slug={slug} /> */}
 
       <div className="grid grid-cols-12  gap-y-8 lg:gap-8 sxl:gap-16 mt-8 px-5 md:px-10">
         <div className="col-span-12  lg:col-span-4">
diff --git a/src/app/syllabus/page.css b/src/app/syllabus/page.css
new file mode 100644
index 0000000..0025669
--- /dev/null
+++ b/src/app/syllabus/page.css
@@ -0,0 +1,4 @@
+.active {
+  font-weight: bold;
+  color: #ff0000; /* Example color */
+}
diff --git a/src/app/syllabus/page.js b/src/app/syllabus/page.js
index 49c357e..fb3f3b3 100644
--- a/src/app/syllabus/page.js
+++ b/src/app/syllabus/page.js
@@ -1,9 +1,34 @@
 import React from "react";
 
-// import { allDocs } from "@/.contentlayer/generated";
-import { bookToc } from "@/src/constant/bookToc";
+import Markdown from "markdown-to-jsx";
+import getPostMetadata from "@/lib/getPostMetadata";
+import fs from "fs";
+import matter from "gray-matter";
+
+function getPostContent(slug) {
+  const folder = "syllabus/";
+  const file = folder + `${slug}.md`;
+  const content = fs.readFileSync(file, "utf8");
+
+  const matterResult = matter(content);
+  return matterResult;
+}
+
+export const generateStaticParams = async () => {
+  const posts = getPostMetadata("syllabus");
+  return posts.map((post) => ({ slug: post.slug }));
+};
+
+export async function generateMetadata({ params, searchParams }) {
+  const id = params?.slug ? " ⋅ " + params?.slug : "";
+  return {
+    title: `${id.replaceAll("_", " ")}`,
+  };
+}
 
 const CourseBook = () => {
+  const slug = "syllabus";
+  const post = getPostContent(slug);
   console.log("Hello");
 
   return (
@@ -20,13 +45,111 @@ const CourseBook = () => {
         <div className="w-4/12 hidden sm:block  mt-8 ml-24 text-base text-gray ">
           <h3 className="mb-2 sticky top-24 font-semibold">Syllabus Nav</h3>
           <ul className="ml-4 sticky top-32">
-            {bookToc.map((chap) => (
-              <li key={chap.chapterIdx} className="hover:text-accent">
-                <a href={`#${chap.chapterIdx}`} className="ml-2 ">
-                  <strong>{`${chap.chapterIdx}. ${chap.chapterTitle}`}</strong>
+            <li className="hover:text-accent mb-2">
+              <a href="#contact-information" className="ml-2">
+                <strong>Contact Information</strong>
+              </a>
+            </li>
+            <li className="hover:text-accent mb-2">
+              <a href="#learning-objectives" className="ml-2">
+                <strong>Learning Objectives</strong>
+              </a>
+            </li>
+            <li className="hover:text-accent mb-2">
+              <a href="#components" className="ml-2">
+                <strong>Components</strong>
+              </a>
+            </li>
+            {/* <ul className="ml-8">
+              <li className="hover:text-accent mb-2">
+                <a href="#lecture" className="ml-2">
+                  <strong>Lecture</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#lab" className="ml-2">
+                  <strong>Lab</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#homework" className="ml-2">
+                  <strong>Homework</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#mps" className="ml-2">
+                  <strong>MPs</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#homework" className="ml-2">
+                  <strong>Homework</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#exams" className="ml-2">
+                  <strong>Exams</strong>
+                </a>
+              </li>
+            </ul> */}
+            <ul className="ml-4">
+              <li className="hover:text-accent mb-2">
+                <a href="#grades" className="ml-2">
+                  <strong>Grades</strong>
                 </a>
               </li>
-            ))}
+              <li className="hover:text-accent mb-2">
+                <a href="#how-to-get-points" className="ml-2">
+                  <strong>How To Get Points</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#extension-policies" className="ml-2">
+                  <strong>Extension Policies</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#how-to-get-help" className="ml-2">
+                  <strong>How to Get Help</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a
+                  href="#proffice-hours-professor-office-hours"
+                  className="ml-2"
+                >
+                  <strong>Proffice Hours (Professor Office Hours)</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a
+                  href="#collaborationacademic-integrity-policy"
+                  className="ml-2"
+                >
+                  <strong>Collaboration/Academic Integrity Policy</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a
+                  href="#commitment-to-diversity-equity-and-inclusion"
+                  className="ml-2"
+                >
+                  <strong>
+                    Commitment to Diversity, Equity, and Inclusion
+                  </strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#students-with-disabilities" className="ml-2">
+                  <strong>Students with Disabilities</strong>
+                </a>
+              </li>
+              <li className="hover:text-accent mb-2">
+                <a href="#statement-on-mental-health" className="ml-2">
+                  <strong>Statement on Mental Health</strong>
+                </a>
+              </li>
+            </ul>
           </ul>
         </div>
         <div className="w-7/12 mt-8 p-4 ">
@@ -34,64 +157,146 @@ const CourseBook = () => {
             <h1 className="text-3xl font-bold mb-4 text-accent">
               Course Syllabus
             </h1>
-            <p className="leading-9 mb-4 text-lg text-black/80 font-medium">
-              This is the introduction of the Syllabus. Tailwind CSS uses a lot
-              of custom CSS at-rules like @tailwind, @apply, and @config, and in
-              many editors this can trigger warnings or errors where these rules
-              aren’t recognized. The solution to this is almost always to
-              install a plugin for your editor/IDE for PostCSS language support
-              instead of regular CSS. If you are using VS Code, our official
-              Tailwind CSS IntelliSense plugin includes a dedicated Tailwind CSS
-              language mode that has support for all of the custom at-rules and
-              functions Tailwind uses. In some cases, you may need to disable
-              native CSS linting/validations if your editor is very strict about
-              the syntax it expects in your CSS files.
-              <br />
-              <br />
-              This is the introduction of the Syllabus. Tailwind CSS uses a lot
-              of custom CSS at-rules like @tailwind, @apply, and @config, and in
-              many editors this can trigger warnings or errors where these rules
-              aren’t recognized. The solution to this is almost always to
-              install a plugin for your editor/IDE for PostCSS language support
-              instead of regular CSS. If you are using VS Code, our official
-              Tailwind CSS IntelliSense plugin includes a dedicated Tailwind CSS
-              language mode that has support for all of the custom at-rules and
-              functions Tailwind uses. In some cases, you may need to disable
-              native CSS linting/validations if your editor is very strict about
-              the syntax it expects in your CSS files.
-              <br />
-              <br />
-              This is the introduction of the Syllabus. Tailwind CSS uses a lot
-              of custom CSS at-rules like @tailwind, @apply, and @config, and in
-              many editors this can trigger warnings or errors where these rules
-              aren’t recognized. The solution to this is almost always to
-              install a plugin for your editor/IDE for PostCSS language support
-              instead of regular CSS. If you are using VS Code, our official
-              Tailwind CSS IntelliSense plugin includes a dedicated Tailwind CSS
-              language mode that has support for all of the custom at-rules and
-              functions Tailwind uses. In some cases, you may need to disable
-              native CSS linting/validations if your editor is very strict about
-              the syntax it expects in your CSS files.
-            </p>
+            <Markdown
+              options={{
+                overrides: {
+                  h1: {
+                    component: "h1",
+                    props: {
+                      className: "text-2xl font-semibold mt-8 mb-2",
+                    },
+                  },
+                  h2: {
+                    component: "h2",
+                    props: {
+                      className: "text-xl font-semibold mt-6 mb-2",
+                    },
+                  },
+                  h3: {
+                    component: "h3",
+                    props: {
+                      className: "text-lg font-semibold mt-4 mb-2",
+                    },
+                  },
+                  h4: {
+                    component: "h4",
+                    props: {
+                      className: "text-base font-semibold mt-4 mb-2",
+                    },
+                  },
+                  p: {
+                    component: "p",
+                    props: {
+                      className:
+                        "mb-4 leading-9 text-black/80 font-medium text-lg ",
+                    },
+                  },
+                  a: {
+                    component: "a",
+                    props: {
+                      className: "text-accent hover:underline",
+                    },
+                  },
+                  ul: {
+                    component: "ul",
+                    props: {
+                      className: "list-disc ml-8 mb-4",
+                    },
+                  },
+                  ol: {
+                    component: "ol",
+                    props: {
+                      className:
+                        "list-decimal tracking-normal ml-8 mb-2 text-lg",
+                    },
+                  },
+                  li: {
+                    component: "li",
+                    props: {
+                      className: "mb-2 ml-4 tracking-normal text-lg",
+                    },
+                  },
+                  blockquote: {
+                    component: "blockquote",
+                    props: {
+                      className:
+                        "border-l-4 border-accent bg-gray-100 dark:bg-gray-800 p-2",
+                    },
+                  },
+                  code: {
+                    component: "code",
+                    props: {
+                      className:
+                        "bg-gray-100 dark:bg-gray-800 p-1 text-sm rounded",
+                    },
+                  },
+                  pre: {
+                    component: "pre",
+                    props: {
+                      className:
+                        "bg-gray-100 dark:bg-gray-800 p-2 text-sm rounded",
+                    },
+                  },
+                  strong: {
+                    component: "strong",
+                    props: {
+                      className: "font-semibold text-black",
+                    },
+                  },
+                  em: {
+                    component: "em",
+                    props: {
+                      className: "italic",
+                    },
+                  },
+                  table: {
+                    component: "table",
+                    props: {
+                      className: "table-auto w-full",
+                    },
+                  },
+                  thead: {
+                    component: "thead",
+                    props: {
+                      className: "bg-gray-100 dark:bg-gray-800",
+                    },
+                  },
+                  th: {
+                    component: "th",
+                    props: {
+                      className: "border dark:border-light p-2",
+                    },
+                  },
+                  td: {
+                    component: "td",
+                    props: {
+                      className: "border dark:border-light p-2",
+                    },
+                  },
+                  tbody: {
+                    component: "tbody",
+                    props: {
+                      className: "text-center",
+                    },
+                  },
+                  tr: {
+                    component: "tr",
+                    props: {
+                      className: "bg-gray-100 dark:bg-gray-800",
+                    },
+                  },
+                  img: {
+                    component: "img",
+                    props: {
+                      className: "w-full",
+                    },
+                  },
+                },
+              }}
+            >
+              {post.content}
+            </Markdown>
           </div>
-
-          {bookToc.map((chap) => (
-            <div key={chap.chapterIdx} id={chap.chapterIdx}>
-              <h1 className="font-bold text-2xl mb-4">{`${chap.chapterIdx}. ${chap.chapterTitle}`}</h1>
-              <ul className="ml-4">
-                {chap.sections.map((sec) => (
-                  <li key={sec.key} className=" mb-2">
-                    <a
-                      href={sec.slug}
-                      className="ml-2 text-lg text-black/80 hover:text-accent font-medium"
-                    >
-                      {sec.key}. {sec.title}
-                    </a>
-                  </li>
-                ))}
-              </ul>
-            </div>
-          ))}
         </div>
         <div className="w-1/12"></div>
       </div>
diff --git a/syllabus/syllabus.md b/syllabus/syllabus.md
new file mode 100644
index 0000000..ab6e008
--- /dev/null
+++ b/syllabus/syllabus.md
@@ -0,0 +1,188 @@
+---
+title: "Syllabus"
+---
+
+Welcome to CS 128\! This course will help expand your programming knowledge through the C++ language and prepare you for future courses and careers in tech. It can be a challenging course but this section is designed to provide the support and structure to help you along the way. If you have any concerns please reach out to me at [drschatz@illinois.edu](mailto:drschatz@illinois.edu).
+
+# Contact Information
+
+### Instructor
+
+Professor Jule Schatz (you-la shots) _she/her_  
+Website: juleschatz.com  
+Email: [drschatz@illinois.edu](mailto:drschatz@illinois.edu)  
+Office: 2330 Siebel Center for Comp Sci![][image1]
+
+# Learning Objectives
+
+At the end of the course, a successful student should be able to:
+
+- Formulate, implement, and test algorithms to solve complex problems from simple specifications.
+- Use object-oriented design to appropriately structure data and couple data and behavior.
+- Organize, compile, and debug C++ projects.
+- Understand the features of computer systems that make them useful for solving problems, including computation, memory, storage, and data access.
+
+# Components
+
+### Lecture
+
+9 am \- 9:50 am Monday, Wednesday, and Friday in 1404 Siebel Center for Comp Sci.  
+See the course calendar for specifics and updates.
+
+Lecture will include clicker questions via \<insert clicker app\>. This is a free app you will need to download and use during lecture. Some clicker question points are based on participation, others on the correct answer (collaboration is allowed).
+
+### Lab
+
+Lab is intended to give you an opportunity to work with your peers on a challenging coding assignment. Labs are collaborative but everyone needs to submit their own assignment to get credit. You will have until the following Tuesday at 8pm to submit the work.
+
+Points will be awarded for attendance and the lab activity. To receive attendance points you must be present at the lab for at least 1 hour 10 minutes of the allotted 1 hour 20 minutes of class.
+
+### Homework
+
+Homework is there to give you practice with the material you just learned in lecture. This is a great way of assessing your own knowledge as well as solidifying your understanding. Homework is always released after lecture and is due before the next class. For example, homework after Monday’s lecture is due Wednesday at 8:59am. There is limited collaboration allowed on the homework assignments. See the collaboration policy below for more details.
+
+### MPs
+
+There are two main goals of the MPs
+
+1. To give you experience developing a bigger project. From planning, to writing, to testing.
+1. To be a fun and cool application that you can show off to friends or family.
+
+MPs have a no collaboration policy. See the collaboration policy below for more details. Exact deadlines and instructions can be found on the course website.
+
+### Exams
+
+Exams are a way to test your knowledge in a proctored environment. There are three 50 minute exams during the semester in the CBTF. The CBTF is a proctored testing center with multiple locations on campus. You will need to pre-register for a time slot at one of their locations for each exam window. For more information see their website, [https://cbtf.illinois.edu/students](https://cbtf.illinois.edu/students).
+
+If you need accommodations for exams, please see the Students with Disabilities  
+Section of the syllabus and upload your paper work here [https://cbtf.illinois.edu/students/dres](https://cbtf.illinois.edu/students/dres), at least 5 business days before the exam.
+
+**Second Chance Exams**  
+Exams are important but can also be scary\! That is why if you don’t receive a score you are happy with you may take the second chance exam the following week. Your final grade for that exam will be 10% of your lowest score and 90% of the highest score. For example, if you take Exam 2 and get 65% and then take the second chance Exam 2 and get 89%, your final grade for Exam 2 is 86.6%. If you take Exam 2 and get 90% and then take the second chance Exam 2 and get 75% your final grade for Exam 2 will be 88.5%. If you take Exam 2 and get 87% and do not take the second chance Exam 2, your final grade for Exam 2 is 87%.
+
+Note, you must register for a time slot for the second chance exams just like you do for a normal exam. The second chance exam will be on the same material as the original exam but with different questions.
+
+**Exam Schedule**  
+Exams and second chance exams run from Tuesday \- Thursday, except for the second chance Exam 3 which runs from Monday \- Wednesday due to the end of the semester. Exams cover topics through and including that previous Friday.
+
+Exam 1 \- 50 mins in the CBTF 09/24 \- 09/26  
+Content \- Through and including material from 9/20  
+Exam 1 Second Chance \- 50 Mins in the CBTF 10/01 \- 10/03
+
+Exam 2 \- 50 mins in the CBTF 10/29 \- 10/31  
+Content \- Through and including material from 10/25  
+Exam 2 Second Chance \- 50 Mins in the CBTF 11/05- 11/07
+
+Exam 3 \- 50 mins in the CBTF 12/03 \- 12/05  
+Content \- Through and including material from 11/22  
+Exam 3 Second Chance \- 50 Mins in the CBTF 12/09 \- 12/11
+
+## Grades
+
+You have the opportunity to earn up to 1,000 points in the course. Based on your final number of points you will receive the following grade:
+
+| Points       | Grade |
+| :----------- | :---- |
+| 930 \- 1,000 | A     |
+| 900 \- 929   | A-    |
+| 870 \- 899   | B+    |
+| 830 \- 869   | B     |
+| 800 \- 829   | B-    |
+| 770 \- 799   | C+    |
+| 730 \- 769   | C     |
+| 700 \- 729   | C-    |
+| 0 \- 699     | D     |
+
+\*\*Note your points will be rounded up to the nearest whole number and the cutoffs may change slightly in your favor.
+
+## How To Get Points
+
+The table below describes how to get points for various components in the course. The max number of points per component is different from the available points for lecture, homework, and labs to allow for missed questions, assignments, and attendance. You cannot get more than the Max Points for any component.
+
+| Component | Max Points | Available Points | Points / Instance                                    | Details                                                                                                                                                                                      |
+| :-------- | :--------- | :--------------- | :--------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Lecture   | 100        | 129              | 3 points / Lecture                                   | There will be at least 43 lectures. You receive points at each lecture depending on the clicker questions.                                                                                   |
+| Homework  | 150        | 175              | 7 points / Homework                                  | There will be at least 25 homework assignments over the semester.                                                                                                                            |
+| Labs      | 150        | 175              | 5 points / Lab Attendance 10 points / Lab Assignment | There will be at least 11 lab sessions/assignments over the semester.                                                                                                                        |
+| MPs       | 270        | 270              | 80 \- 110 points / MP                                | MP 1 \- Part 1 : 30 points MP 1 \- Part 2 : 50 points MP 2 \- Part 1 : 30 points MP 2 \- Part 2 : 30 points MP 2 \- Part 3 : 50 points MP 3 \- Part 1 : 30 points MP 3 \- Part 2 : 50 points |
+| Exams     | 330        | 330              | 110 points / Exam                                    | There are 3 exams total, but each has a second chance to increase your points for that exam.                                                                                                 |
+
+## Extension Policies
+
+There are no extensions for homework or labs. However, as indicated in the table above, there is wiggle room for missing assignments or partial credit.
+
+Each MP part is due at 8pm on the deadline indicated on the specifications for that MP. However, you may turn in any part 24 hours late for a 10 point reduction on that part.
+
+\*If you have extenuating circumstances please contact me. **Unless you were unable to do so, you must contact me BEFORE the deadline to get any relevant accommodations for that assignment or exam.\***
+
+## How to Get Help
+
+Computer science is challenging but the 128 team is here to help\!
+
+### Office Hours
+
+This is a space to come and ask questions and get clarification on course material and assignments. It is normal to come to office hours at least once a week and often more. They will be held virtually and in-person in the basement of Siebel Center for Computer Science. The exact schedule can be found on the course website.
+
+### Discuss Online Forum
+
+Link is on the website. Feel free to post any quick questions you have on there. However, do not post your code for homeworks, labs, or MPs.
+
+We will do our best to answer your questions as quickly as possible but do not expect an instant response. You may also contribute and answer questions\! This is a great way to solidify your own understanding. However, remain respectful of everyone’s diverse backgrounds and abilities. We are all here to learn\!
+
+### Meet with the Professor
+
+If you are struggling in the course and are not sure how to proceed please reach out to Prof. Schatz via email. I can help you figure out what is going wrong and how to improve from there (I do this for students often).
+
+## Proffice Hours (Professor Office Hours)
+
+Wednesday after lecture, 10 \- 11 am in Prof. Schatz’s office 2330 Siebel Center for Computer Science. Come say “hi” and check out my lego collection\! I’m happy to answer big picture questions about the course or CS in general or just get to know you a bit better. This is a great opportunity to make a connection with a professor at UIUC.
+
+My office is a bit hard to find… There is a map above\!
+
+## Collaboration/Academic Integrity Policy
+
+Below are the definitions of the two collaboration policies I have for various components. Please note it is always against the academic integrity policy to try and circumvent the autograder.
+
+### Limited Collaboration Allowed
+
+This means you may work with others to complete the component. However, **you must still submit your own code for grading**.
+
+I recommend implementing buddy programming. This is where everyone codes on their own computer but you may look at and discuss code together. This lets you work together while still forcing you to write the code for yourself. This is important for learning and doing well on the exams\!
+
+You may use AI systems for general conceptual questions but not for solutions or specifics. Remember why you are in this course as well as why you are furthering your education. Using AI to get answers may not be helpful for those goals.
+
+**_Components this policy applies to: Lecture clicker questions, lab, and homework._**
+
+### Collaboration NOT Allowed
+
+**This means you must complete the component on your own**. You may NOT ask anyone besides a current course staff member for help. You may NOT use AI on these components. You may NOT look at another student's code NOR share your code with other students. Violating this policy is violating the academic integrity policy and will result in a FAIR violation. A violation can lead to a zero grade on the assignment and a full letter grade reduction in the course.
+
+For exams you must follow the CBTF policy on what is allowed and what is not allowed. Deviations from this will result in an academic integrity violation.
+
+**_Components this policy applies to: MPs, and Exams._**
+
+## Commitment to Diversity, Equity, and Inclusion
+
+As the state’s premier public university, the University of Illinois at Urbana-Champaign’s core mission is to serve the interests of the diverse people of the state of Illinois and beyond. The institution thus values inclusion and a pluralistic learning and research environment, one which we respect the varied perspectives and lived experiences of a diverse community and global workforce.
+
+We support diversity of worldviews, histories, and cultural knowledge across a range of social groups including, but not limited to, race, ethnicity, gender identity, sexual orientation, abilities, economic class, age, religion, and their intersections. The Grainger College of Engineering recognizes that we are learning together in the midst of the Black Lives Matter movement, that Black, Hispanic, and Indigenous voices and contributions have largely either been excluded from, or not recognized in, science and engineering, and that both overt racism and microaggressions threaten the well-being of our students and our university community.
+
+This course and its social resources like Piazza should be a safe and encouraging learning environment that allows for the open exchange of ideas while also ensuring equitable opportunities and respect for all. Everyone is expected to help establish and maintain an environment where students, staff, and faculty can contribute without fear of personal ridicule, or intolerant or offensive language. If you witness or experience racism, discrimination, microaggressions, or other offensive behavior, you are encouraged to bring this to the attention of the course director or the course staff either directly or anonymously. You can also report these behaviors to the Campus Belonging Office [link](https://diversity.illinois.edu/diversity-campus-culture/belonging-resources/) or CS CARES [link](https://cs.illinois.edu/about/cs-cares).
+
+## Students with Disabilities
+
+Disability Resources and Educational Services (DRES), a unit of the College of Applied Health Sciences, serves as the designated office of the University that coordinates campus-wide services for students with disabilities. DRES obtains and files disability documentation, certifies eligibility for services, and coordinates the planning and provision of auxiliary aids as well as the implementation of modifications and adjustments in academic rules, policies and procedures. Professional staff are available at DRES to provide University students with disability-related consultation and to assist them in obtaining both academic and nonacademic support and services.
+
+Any student with a disability who may need accommodations in this class should obtain an accommodation letter from the Disability Resources and Education Services (DRES) Office. **Accommodations should be made known early in the semester and cannot be retroactively applied to assignments due before the time the accommodation was made known**.
+
+## Statement on Mental Health
+
+Diminished mental health, including significant stress, mood changes, excessive worry, substance/alcohol abuse, or problems with eating and/or sleeping can interfere with optimal academic performance, social development, and emotional well-being. The University of Illinois offers a variety of confidential services including individual and group counseling, crisis intervention, psychiatric services, and specialized screenings at no additional cost. If you or someone you know experiences any of the above mental health concerns, it is strongly encouraged to contact or visit any of the University’s resources provided below. **_Getting help is a smart and courageous thing to do – for yourself and for those who care about you._**
+
+Counseling Center: 217-333-3704, 610 East John Street Champaign, IL 61820
+
+McKinley Health Center:217-333-2700, 1109 South Lincoln Avenue, Urbana, Illinois 61801
+
+University wellness center: [https://wellness.illinois.edu/](https://wellness.illinois.edu/)
+
+[image1]: data:image/png;base64,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