CMU 15-112: Syllabus
Summer 2022 (N22)

   
We're Ready Almost all required 15-112 events will be taught in-person. Due to COVID-19, however, this is still a time of flux for all of CMU. Bear in mind the following:
  • It is entirely possible that we will need to adapt the course in response to new developments. Regardless of modality, our response to all challenges is to rely on people rather than technology. We are all in this together, and we will thrive as a supportive learning community. You always have many, many people who are here for you.
  • If you are feeling ill or have been in close contact with someone with COVID-19, DO NOT ATTEND any in-person course events. Nobody wants you to take that risk, especially us. Contact us and we will do our best to provide you the support you need.
  • We are fully committed to your health, well-being, and happiness. We stand ready to change any course policies should we feel that you would benefit from those changes.
Time
Zone
Unless otherwise stated, all times in all course-related documents and correspondence will be in Pittsburgh time (ET). Note that Autolab in particular may show times in your local time, but our course website uses Pittsburgh-time.
Previous
Versions
Previous versions of 15-112:
S22, F21, S21, F20, S20, F19, S19, F18, S18, F17, S17, F16, S16, F15, S15, F14, S14, F13, S13, F12, S12, F11, S11, F10, S10, F09, S09, F08, S08, F07

Previous Summers:
N21, M20, N19, M19, N18, M18, M12, APEA-09, APEA-08
Description A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing and debugging. Starting from first principles, we will cover a large subset of the Python programming language, including its standard libraries and programming paradigms. We will also target numerous deployment scenarios, including standalone programs, shell scripts, and web-based applications. This course assumes no prior programming experience. Even so, it is a fast-paced and rigorous preparation for 15-122. Students seeking a more gentle introduction to computer science should consider first taking 15-110. NOTE: students must achieve a C or better in order to use this course to satisfy the pre-requisite for any subsequent Computer Science course.
Learning Objectives At the end of the course, students should be able to:
  • Write clear, robust, and efficient code in Python using:
    • sequential, conditional, and loop statements
    • strings, lists, tuples, sets, and dictionaries
    • objects and classes
    • recursive approaches
    • graphics and interaction
  • Develop programs to effectively solve medium-sized tasks by:
    • employing modular, top-down design in program construction
    • demonstrating an effective programming style based on established standards, practices, and guidelines
    • proactively creating and writing test cases to test and debug code
    • applying computational problem-solving skills to new problems, especially in the student's home academic discipline
    • explaining and analyzing the efficiency of algorithms
  • Design and write a substantial program in Python with minimal guidance
Topic List
and Schedule
See the topic list and schedule here (includes schedule, notes, video mini-lectures, homeworks, quizzes, and tests).
Schedule
of Classes:
Important notes:
  • Use Autolab's Roster: Check Autolab (and not SIO) to confirm your assigned lecture and recitation times.
  • Lecture Attendance: You must attend the daily assigned lecture in-person. If you must miss a lecture due to circumstances outside of your control (i.e. if you have an illness) fill out a request for an excused absence in the excused absence/extension form, located on the 112 Forms page prior to your assigned lecture.
  • Recitation Attendance: You must attend your assigned recitation in-person. If you must miss a recitation, you should email your recitation TA's beforehand to inform them of the situation and (if applicable) fill out a request for an excused absence in the excused absence/extension form, located on the 112 Forms page
Lecture:
  Days Lecturer Time Location
Lecture 1 M/Tu/W/Th/F Mike Taylor (mdtaylor) 10:40am - 12:00pm PH 100

Recitations:
  Days TAs Time Location
Section A M/Tu/W/Th/F Helen (zhuowenh) and Amalia (akamon) 1:00pm - 1:50pm DH 2105
Section B M/Tu/W/Th/F Fa (pphanach) and Jake M (jmorin) 1:00pm - 1:50pm DH 2122
Section C M/Tu/W/Th/F Alice (alicehon) and Margaret (mche) 1:00pm - 1:50pm DH 1117
Section D M/Tu/W/Th/F Hong (hongsng) and Jacob D (jadought) 2:00pm - 2:50pm DH 2105
Section F M/Tu/W/Th/F Victoria (vxc), Warren (tingguaw), and Hanson (jiaheng2) 2:00pm - 2:50pm DH 2122
Section G M/Tu/W/Th/F Ben (hnguyent), Hao (haok), and Jorge (jtamayo) 3:00pm - 3:50pm DH 2105
Section H M/Tu/W/Th/F Emily (esands), Connor (cjtsui), and Cynthia (cmeah) 5:00pm - 5:50pm WEH 7500
Section I M/Tu/W/Th/F Zoe (zrudnick), Theo (tkroenin), and Daniel (dc2) 6:00pm - 6:50pm WEH 7500


Office Hours
and Course
Resources
15-112 can be an intense course, but it becomes much more manageable if you use the course resources well. These resources include:

Course Notes:
  • The course notes (on the schedule page) are full of useful information and examples that can help you approach the assignments! When you don't understand a concept, try reading the notes and watching the associated videos first.

Large-Group Sessions:
    SessionTimeLocation
    Quiz prep sessionSunday 1pm-2:30pmGHC 4401
    Quiz solution sessionTuesday 7pm-8pmGHC 4303
  • Unless indicated as remote, all of these sessions are in-person, optional, and will not be recorded. If you wish to attend but are unable to, we recommend that you ask any questions you have on Piazza or in OH.
  • If at any point we offer a HW solution session, you may not turn in an assignment after attending/watching any part of its solution session, even with an extension or grace day. Doing so will be considered an academic integrity violation.

Instructor Open Office Hours:
  • Times and locations (subject to change):
    • Mike Taylor (mdtaylor): Mon 5pm-9pm and Wed/Fri 12:15pm to 2:15pm, in-person, GHC 4126
  • During these open OH, you can ask questions about anything, or just listen in and maybe pick up some neat stories. These are open OH, so they are not private. For specific homework and debugging help, please attend your TA's study sessions and/or use Piazza and OH instead so that we can include everyone in the discussion. We expect these will be fun and collaborative, and will help us all get to know each other!

TA Office Hours:
    Mon Tue Wed Thu Fri Sat
    4pm-5pm 7pm-8pm 4pm-5pm 7pm-8pm 4pm-5pm 1pm-2pm
    5th floor Gates Commons Zoom 5th floor Gates Commons Zoom 5th floor Gates Commons Zoom
  • TA office hours let you ask questions to a TA directly, and they can help you understand concepts and debug programs that you're struggling with alone. During TA OH, use the OH Queue to sign up for help! OH Queue is used only for TA office hours. When you join the queue, please prepare to ask your question as efficiently as possible. During busy TA OH, to provide the fairest help to the most students, TA's can only spend five minutes with each student.
  • If you are attending during remote office hours, check the zoom link spreadsheet on the forms page for the zoom link you should join!

Piazza Virtual Office Hours:
  • Piazza can be used to ask quick questions and receive quick responses without attending live office hours. Questions on Piazza should be specific and include all needed information (so if your code has an error you don't understand, include the relevant part of the code and the error message).
  • We do not allow public posts from students on Piazza; please only post private questions, and please always address your posts to "Instructors" so that any TA can help you. (If you have a question just for the course faculty or a specific TA, please always use email instead.)
  • Also, please do not post follow-ups to course announcements. Please make a new private post instead.
  • Piazza is monitored by TA's daily at all (reasonable) hours of the day.

Recitation TA HW/Study Sessions:
  • Your recitation TA's will offer extra study sessions, providing extra support for you as you complete homework and study for quizzes. These will be the best place to get hands-on homework help! We expect the best way to spend the least time on homework will be to attend these very frequently. Please note that some of these sessions may be required. When your TA asks you for times when you are available, please be flexible and list all of the times, not just two or three that you would prefer.

Spicy Recitations and Exploratory Lectures:
  • Spicy Recitations: Tues/Thurs, 4pm to 5pm, GHC 8102
  • Other times and locations TBD!
  • The optional spicy recitations will cover topics which are not part of the core 112 material, but which are very interesting nevertheless. Additionally, some of these topics will be helpful for your term projects!
  • Exploratory lectures will be taught by Mike, and will explore interesting optional topics like sound synthesis, quantum computing, and robotics.
  • You are still required to attend your normal assigned recitation and lecture. These events are purely additional and optional, to be attended for the joy of learning!

Instructor Private Meetings:
  • To request a private meeting please email me (Mike) at mdtaylor@andrew.cmu.edu and be sure to include the topic you'd like to discuss, along with your full availability over the next few days, along with whether you would prefer to meet in-person or remotely at those times.
  • In-person meetings will be in GHC 4126. If they are remote, I'll email you a link a few minutes before our designated time.
  • So that we can spread our limited time as fairly as possible, please keep this in mind:
    • I am almost always available by email, and the TAs are always available via Piazza -- which may get you a faster response without consuming limited meeting time.
    • We prefer most matters to be discussed in our general open office hours or with your TAs. These private meetings are specifically and only for issues that are not appropriate for that open OH format, or which cannot be resolved easily through email. These meetings are not for help on the currently-assigned homework (go to TA OH or Piazza for that).
    • That being said, don't be shy! I like getting to know as many of you as I can, and if I can meet with you, I will.

Student Academic Success Center:
  • Due to the size of the course, we are not able to generally meet requests for one-on-one tutoring. However, the Student Academic Success Center usually offers additional resources and tutoring for 15-112.
Required
Software:
There is no required textbook for this course! We will primarily use the course notes on this webpage instead.

You should have a computer (ideally a laptop), however it does not need to be very new or powerful. We recommend an Apple or Windows laptop, though common distributions of Ubuntu will also work. Chromebooks will usually NOT work for creating graphical applications. Please email Mike if you cannot reasonably get access to a computer.

Every required software package we use is available for free on the web. This includes:
  • Python version 3.9, which can be freely downloaded from python.org.
  • We will also use apps and sites that use Brython, which is a version of Python that runs in web browsers.
  • We may also use one or more free IDE's (code editors) and other free software packages.
Course
Requirements:
Participation with earnest effort in this course is required and consists of the following activities:
  • Attending and participating in all the lectures, recitations, and required events.
  • Carefully reading the course notes and other assigned readings.
  • Thoughtfully completing the homework assignments, and the term project with earnest effort.
  • Taking all the required quizzes and exams.
Attendance is required (if not always strictly recorded). You will be responsible for all materials presented in lectures and recitations. Note that missed quizzes and exams may not be made up in general (though certain exceptions are permitted -- see the relevant sections below).

Responsiveness is required. You need to monitor your andrew email and respond to course-related emails promptly, preferably the same day and in any case within two days.

Also, you must read all Piazza posts carefully. You are responsible for knowing this information, including any changes or additions to policies, deadlines, etc.

Important Note: failure to satisfy these course requirements will result in deductions in your semester grade, up to and including course failure, at the sole discretion of the course faculty.
Grading:
 Course Component   Weight   Notes 
Quizzes (about 5) 20%Lowest 2 quiz grades are half-weighted.
Homeworks 40%Lowest 2 homework grades are half-weighted.
Term Project (1) 20%
Final Exam (1) 20%

Midsemester and Semester grades will be assigned using a standard scale, as will each homework, quiz, midterm, term project, and final, as such:
   A: 90 - 100
   B: 80 - 89
   C: 70 - 79
   D: 60 - 69
   R:  0 - 59

Note that graduate students will be assigned +'s and -'s according to the following scale (generalized across letter grades):
   B-: [80-83)
   B:  [83-87)
   B+: [87-90)

The course instructor may choose to change the scales at their discretion. You are guaranteed that your letter grade will never be lowered as a result of changing scales.

Semester Grade Cap Policy
In all cases, your semester grade is capped at 15 points above the highest score you receive on the course's proctored events -- that is, on your semester weighted quiz average or on the final exam. For example, if your raw semester average is 83, but your highest proctored score is a 57, then your semester score is capped at 72 and you would receive a C as your semester grade. Note: The grade cap policy very rarely impacts any students, but exists to ensure baseline fluency.

Alternate Minimum Grading (AMG) Policy
This AMG policy is available to everybody, but is designed specifically for those students who struggle in the first part of the course and then through sustained hard work and dedication manage to elevate their performance in the latter part of the course to a level that merits passing with a C, even if their Standard Grade might be lower than that.

In addition to Standard Grading as described above, we will separately compute your grade using an Alternate Minimum Grading (AMG). Students do not sign up for AMG. Every student will be considered both for Standard Grading and AMG, and their semester grade will be the higher of the two (where the highest grade via AMG is a C).

Your AMG grade is the smaller of your final exam grade and your tp3 (term project) grade, capped at 75. Or, in Python, like so:
  amgGrade = min(final, tp3, 75)
AMG eligibility depends on demonstrating sustained effort. To qualify for AMG you must meet the course requirements in the previous section. Also:
  • You cannot miss multiple lectures/recitations
  • You cannot miss multiple assignments or quizzes
  • You cannot violate the Academic Integrity Policy or any collaboration guidelines
Assigned
Work:
Homework:
Homework assignments are generally due T/W/Th/F/S at 8pm Pittsburgh-time and will generally be available at least 24 hours before that. Homeworks are entirely solo unless the assignment very explicitly allows you to collaborate. We will also provide TA-led group homework help where certain kinds of collaboration are allowed within that meeting only. See the "Academic Integrity" section below for more details. That said, you always have access to extensive help provided by the TA's and course faculty.

It is absolutely critical that you read all instructions for every assignment! While similar, these instructions will change from week to week. If you lose points for not following instructions, you cannot get them back by telling us you didn't see them. We'll point you right back here.

"Bonus" or "Extra Credit" questions are meant to be very challenging. These questions are typically worth very few points, and should be attempted only for the sake of challenging yourself further.

Programming assignments may be graded based on style (modularity, effective use of data abstraction, readability, commenting, etc.) in addition to functionality (correctness and efficiency of the program on all possible test inputs). Your code should be properly annotated with comments that are well-placed, concise, and informative. Your assignments will be graded by TA's, by automated graders, and at times by the course faculty. (Note: we will not grade you on style until we have covered the style guide in class. We do not normally grade style on quiz and exam problems, though you should practice good style anyway, just in case.)

Term Project:
The Term Project will be the last major course activity of the semester. You will design and build a program of your choosing with the guidance of a mentor TA. More information can be found in the Term Project Assignment writeup, once it is released.
Assessments: Quizzes:
Quizzes will be given most weeks, generally in lecture on Monday. Quizzes will be on paper and will involve writing code and answering written questions about code samples, without the use of other resources. Quizzes generally focus on material from the previous week and the previous homework, though any prior material may appear as well.

Attendance Checks:
We will occasionally give you a link (possibly with a few short questions) for you to access with your phone or laptop during events, meant to check if you are in attendance and paying attention. These are meant to be easy, but they will only be available for a short time. If you don't access and complete these on time (including, for example, if you miss the link while scrolling through Facebook), there will be no makeups. That being said, missing one or two will not have a significant impact on your course average.

Final Exam:
There will be a required final exam at the end of the semester, weighted as indicated above. It will cover all material present in 112 during this summer semester.
"Fix-Its" Students will optionally have the chance to earn back half their lost points on two problems from each quiz by fixing all the errors on those problems and submitting their changes to Autolab again by the end of the Thursday following that quiz, and then discussing their changes with a TA. Each student will have 5 minutes of 1-on-1 time with a TA to review up to two problems from their quiz. If the student demonstrates a thorough understanding of their errors on those problems, and have fixed all of them properly, they may earn up to half the lost points back (depending on the nature of the error, the accuracy of the fix, and the student's readily-apparent understanding of the problem and solution). Note that these must be genuine fixes of errors, and not just starting over entirely and/or simply reproducing our sample solutions. If a student only fixes some errors in a problem but not others, they may not receive any points back. This is experimental, and and we may tweak the plan over the semester. Additional details will be provided over piazza.
Academic
Integrity:
Philosophy:
We begin by choosing to trust each of you individually. Do not be one of the few who loses that trust. If you cheat, expect to be caught, and expect significant consequences. Use common sense and understand these rules.

These rules are meant to convey the spirit of our academic integrity expectations. For example, when we say "do not copy" we always mean visually, verbally, electronically, or in any other way, even if you copy and modify it. We additionally expect you to uphold CMU's more general academic integrity standards. Attempting to exploit technicalities simply reduces our assurance that you fully learned from the mistake. If you are unsure of something, you only need to ask us beforehand. If you do this and strive to understand the intent of this policy and exercise common sense, you have nothing to worry about.

Generally, examples of academic integrity violations include but are not limited to:
  • Claiming or submitting as your own any work or code you did not fully author, explicitly or implicitly, no matter how small.
  • Missing or inaccurate citations
  • Discussing any part of assignments or assessments with anyone else (besides current 112 TA's and course faculty), no matter how briefly or casually, in-person or via Discord/WeChat/Zoom etc unless the assignment explicitly allows it.
  • Looking at any part of anyone else's solution(s) to an assignment or assessment, or showing anyone else any part of your solution(s) no matter how briefly or casually.
  • Asking or answering any questions about assignments or assessments anywhere except through official 112 resources, or sharing/viewing any part of assignments, assessments, or solutions in-person or online in any way. In particular, this disallows stackoverflow, chegg, github, and all other such sites.
  • Attempting to 'hack', decompile, disrupt, or misuse the autograder, testing environment, or course tools.
Homework:
Unless otherwise noted, all homework exercises are solo, meaning that you must not collaborate or discuss them with anyone in any way. Note that 'anyone' includes but is not limited to other past, present, or future students, friends, parents, siblings, tutors, etc. Remember: you always have access to extensive help provided by the TA's and course faculty. We strongly encourage you to use this support!
Note: If at any point we offer a HW solution session, you may not turn in an assignment after attending/watching any part of its solution session, even with an extension or grace day.

Term Project:
The term project writeup will allow for certain kinds of productive collaboration. Still, you will only be graded on your truly original contributions. Missing, inaccurate, or misleading citations on any assignment or deliverable may result in an academic integrity violation, regardless of intent.

Assessments (Quizzes and Exams):
Examples of cheating on assessments (Quizzes and Exams) include but are not limited to:
  • Referring to any external resources (people, electronics, websites, notes, books, etc) while completing the assessment.
  • Accessing or copying any part of an answer from another student's work, even if it is very small.
  • Attempting to access any unreleased assessment outside of your assigned testing time, or outside of a secured testing environment, even if you have already taken it.
  • Providing or receiving links/passwords/codes to quizzes, checks, exams, or other assessments to anyone else.
  • Saving or copying any assessment materials so they are available outside of the online quiz/midterm/exam environment.
  • Discussing any part of the assessment with anyone who hasn't taken it (or a very similar one) until we have released it publicly (including with non-112 students)
    • For example, taking a quiz and sending a message as simple as "I wish I hadn't spent so much time studying nested loops" (or some other topic) before the quiz is released
  • Violating proctoring policies, like continuing to work on the assessment (even briefly) after the proctors announce the stop time, or falsifying/fabricating a tech fail.
Retaking Course / Reusing Prior Material:
If you are repeating 112, your prior work in this course is treated just as anyone else's work. Consulting or copying your prior homework answers or term project solutions will only hurt your learning, and will be treated as a cheating violation.

Plagiarism Detector:
Programs are naturally structured, which makes them very easy to compare. Here is a short video demonstrating one of several automated detection methods we use on every assignment. In short: if you copy (or even reference code), including work from prior semesters, we will be able to tell.

Penalties:
Course penalties are decided by the course faculty, and vary based on the severity of the offense. Offenses can be severe even if the assignment/assessment is worth very few points (for example, cheating during a quiz). Possible penalties include:
  • Receiving a 0 or -100 on the assignment/assessment, which cannot be half-weighted
  • Receiving a semester-average deduction, often a full-letter-grade (Most common)
  • Automatically failing the course

Penalties may also be accompanied by a report to the Dean of Student Affairs and/or the Office of Community Standards and Integrity. This can lead to additional university-level penalties, such as being suspended or expelled. University policy states that you may not drop the course if you have an academic integrity violation (except in rare/unusual cases where you have faculty approval). If you are in the precollege program, committing an academic integrity violation nullifies the program's grade forgiveness policy.

Honesty:
To end this section on a more positive note, you should know that we put a high premium on honesty. If you get into an Academic Integrity situation, then the sooner and more completely you tell the entire truth, by far the better it is for you and for everyone else involved. The bottom line: If you regret a lapse in judgment, it is always better to let us know right away, to come clean and be honest and truthful. You will feel better about it, as will we, and it will probably result in a better outcome for you as well.
Extensions: See the Forms page for this semester's Extension Request Form. That said, in general, due to the scale of the class, we cannot give individual extensions on assignments or assessments. However, there are a few exceptions:
  • Medical Emergencies: if you are on campus and you are feeling sick, contact Student Health Services. Students who have prolonged absences due to medical treatment may obtain extensions from the instructors at their discretion, or by request from Student Health Services, any medical professional, or an advisor, housefellow, etc. While we do not need medical specifics, please provide some form of documentation (such as a receipt from Student Health Services) that indicates you are receiving treatment.
  • Family/Personal Emergencies: if you are having a family or personal emergency (such as a death in the family or a mental health crisis), reach out to your academic advisor or housefellow or precollege resources immediately! They will help support you in your time of need, and can also reach out to all of your instructors (including 15-112 instructors) to request extensions for you.
  • University-Related Absences: if you are attending a university-approved or clearly university-related event off-campus (such as a multi-day athletic/academic trip organized by the university), you may request an extension for the duration of the trip. Note that we will consider most job interview trips to fall in this category. If possible, you must provide confirmation of your attendance, usually from a faculty or staff organizer of the event.
  • One-Time Multi-Day University-Related Event: if you are deeply involved in an event involving some university-related club or organization that you are in, where it will take nearly all of your time over multiple days, and this is a one-time deal for the semester, then we will consider granting an extension on that week's homework.
Please note that extensions must be requested before the assignment/assessment deadline. Additionally: if a religious day you observe conflicts with an assignment date or event, let the course instructors know in advance; we may be able to provide extensions or move assignment dates in some cases (though because the course moves extremely fast, we urge you to start the assignment early instead).
Late Policy: In general, all homework is due at the assigned date and time. Without an approved extension as described above, any submissions to Autolab later than 1 hour will receive 0 points, and submissions late by less than an hour will receive a 50% grade deduction. There are no automatic grace days this semester, only because if you miss a deadline it will be far better for your semester grade if you stay current with the course material, work with your TA, and focus on the next day's assignment.

If you have not submitted and miss a deadline by just a few minutes (for any reason) you should still attempt to submit what you have at that moment. Autolab will accept submissions up to one hour after the deadline with a 50% penalty applied to the entire assignment, but that's better than a zero, and you will get valuable feedback on your work. Submitting in the one-hour late window is usually only a good idea if you have no prior submission or if your submission received a zero. It is your responsibility to read your autolab feedback, and to ensure you have submitted the correct file in the correct format, without syntax or linter errors. Submit early and often!

No late/make-up quizzes or exams will be administered, except in the cases covered under the Extensions policy. Approved missed quizzes will be excused; approved missed exams will be taken at the earliest possible date as approved by course faculty.
Regrade Requests: We occasionally make mistakes while grading (we're only human!). If you believe that you found a mistake which you would like us to correct, please submit a regrade request using the form in the Forms page. Regrades must be requested within one week of the time when the contested grade was released. Note: regrade requests will result in the entire problem being regraded, not just the possibly-incorrectly-graded part.
Formatting Errors: Misformatted homework in general cannot be graded by our autograder, and as such may receive penalties, which can range from -5% to not being accepted at all. Therefore, be sure to submit your homework early (you can submit repeatedly, we only grade the last submission) and thoroughly read any autograded feedback to be sure you are getting the score you expected. It is also your responsibility to check that you successfully submitted the file you intended. You can easily check your Autolab grade and feedback a few seconds after submitting. (Note: Any manually-graded problems will not have a score immediately, so you should re-download your file after uploading it and double-check that it is the correct one.)
Recording: Students may not record audio or video of lectures or recitations or any other faculty-led or TA-led course events (online or in-person) without explicit permission in writing from the instructor or the TA in the instructor's absence. Exceptions will be granted in accordance with university guidelines for accessibility concerns, but even then such recordings may not be shared publicly or privately.

We plan to record certain large group events, and these will be available to currently-enrolled students until the end of the semester.

Camera policy: We request that you to keep your camera on during all remote events, as this will provide the best learning experience for you and your classmates. We suggest you use a virtual background if you are uncomfortable with your environment being visible to others. You may alternatively use a face-tracking virtual avatar if you wish, like those available through loom.ai etc. That being said, if you have accessibility or equity concerns that are not solved by either of these solutions, please let us know. For 1-on-1 meetings, assessment proctoring, or group events of 5 or fewer people, we do require your camera to be on unless you have approval from the attending TA or the course faculty.
Accomm-
odations:
We gladly accommodate students with disability-related needs (as approved by the Office of Disability Resources (ODR), as explained here). If you are eligible for accommodations, please ensure that the Office of Disability Resources has sent us your Summary of Accommodations Memorandum within the first week or two of class. We will contact you within a few days of receiving this form with any relevant instructions for using your accommodations in 15-112.

Please note: At the guidance of the University, we can only provide disability-related accommodations which have been explicitly approved by ODR and are on the most recent Summary of Accommodations Memorandum we have received. If you require accommodations that have not been approved by ODR, you should contact them as soon as possible. Also according to University guidance, we cannot retroactively apply your accommodations if we receive them from ODR later in the semester (for example, a modification on an assignment due before we received official approval of your accommodations).

Extended Time: students who receive Office of Disability Resources (ODR) approved extended-time on assessments will be proctored either by ODR's testing center or the course staff, depending on ODR's capacity. The course faculty will email you with instructions for scheduling your assessments during Week 1, or upon receipt of your memorandum. In order to meet the logistical challenges of additional proctoring, we ask that you schedule extra-time assessments at least five days in advance. Extra-time assessments must take place on the same day as the in-class assessment unless otherwise approved by the course faculty.

Important: to use extra time, you must sign up for a proctoring time outside of lecture with ODR (or you must attend the extra-time quiz or exam time if proctored by the course staff), and not the normal-duration quiz or exam. You do have the option of attending the normal-duration quiz or exam, but then you will have to complete it in the assigned time (without extra-time). If you plan to take an extended-time quiz, you do not need to be present in lecture until the standard-time quiz is over (usually in the first 20-25 minutes)

We are here to help. If you have any questions or concerns relating to 15-112 and how we can best accommodate you during this unusual semester, please contact the course faculty and we will work together for your success.
Auditing: We have found that students who audit 15-112 do not tend to succeed, as they generally cannot dedicate the requisite time and focused discipline to the course. We must also strictly limit in-person events to ensure that we do not violate room capacities. Therefore, auditing will only be allowed in exceptional circumstances, and must be approved by the course instructors first. Rather than auditing, in some cases you may take the course as Pass/Fail instead, which can be a better option in some cases (say, for graduate students who want to learn how to program but already have an over-full load of graduate courses). Note: you may not take the course Pass/Fail if you plan to use 15-112 as a prereq.
Waitlist: If you are on the waitlist, we hope to get you into the class, but because of room restrictions, you may not attend in-person events without faculty approval, or once you are officially off the waitlist.
Diversity
and
Inclusion:
It is our intent that students from all diverse backgrounds and perspectives be well-served by this course, that students' learning needs be addressed both in and out of class, and that the diversity that students bring to this class be viewed as a resource, strength and benefit. It is our intent to present materials and activities that are respectful of diversity: gender, sexuality, disability, age, socioeconomic status, ethnicity, race, and culture. Whether in education or industry, inclusive representation creates richer experiences and equips us to solve new and exciting challenges. As we begin the semester, we want you to know:
  • We are always eager for new ideas and constructive feedback on how to improve accessibility and inclusion.
  • If you would like to talk to someone about your unique experiences in the course, at CMU, or elsewhere, we are eager to listen.
  • We love helping students find new opportunities using their 112 skills. If you need help making connections or showcasing your abilities, we'll do our best to help! (This is an invitation for everyone, but especially our underrepresented or disadvantaged students.)
  • If you know of an event or group that is of particular interest to 112 students, especially those which empower our underrepresented or disadvantaged populations, (including but of course not limited to BIPOC, Latina/o/x/e, LGBTQIA+, and women in technology/higher education) we are eager to promote these through Piazza.
  • If you are looking for events or groups to connect with socially or professionally, please talk to our TAs and faculty so that we can help!
  • CMU is a community of brilliant people from all over the world, and it's easy to feel intimidated or like you don't belong. To varying degrees, we all struggle with these feelings. If you find yourself questioning whether you deserve to be at CMU or in this class, we urge you to come talk to us, and we'll do everything we can to help you overcome those doubts.
Lastly, we call on each of you to join us in our commitment to a more welcoming and equitable community. Always seek awareness of your own unconscious biases, and also remember that certain things like neurodiversity, religion, gender identity, and socioeconomic status and are not always immediately apparent. Support your fellow students academically and socially. And if you are eager to personally provide an even better experience for future 112 students, consider applying to be a TA for next semester!
Well-being &
Happiness:
We care very much about your well-being and happiness. Yes, CMU students (and faculty) work hard, sometimes very hard. But we must keep our balance and always attend to our well-being and happiness. That comes first, academics follow. Achieving a better grade is almost never a matter of putting in more time! So be sure to get enough sleep, eat right, exercise regularly, and attend to your well-being and happiness.

Also, please know that we do care about you and take your well-being seriously. We want to help you learn while minimizing stress. Meeting the learning goals of 15-112 necessitates significant effort and a fast pace, but do not fall in the trap of working endlessly, as this will only reduce your efficiency (and more importantly, your happiness and well-being). It is not necessary, expected, or something to be proud of. We can help you improve your efficiency and work less, not more. We also seek to minimize the workload as much as is possible, while still meeting the learning goals of the course.

Finally, if you are feeling overly stressed, or anxious, or unhappy about your performance or your general experience in this course: please come talk to us. We will listen. We are here for you and we will try to help.

Addendum: Here is a great summary of many CMU Student Support Services.