ICS H32 Fall 2024, Course Reference

Course organization

In-person format

This course will be administered in a predominantly in-person format. What this means, chiefly, is that full participation in this course will require your physical presence on campus at various points throughout the quarter, and that we will not be offering a separate virtual experience to students who are not physically attending at those times.

Required equipment

In order to participate in this course successfully, you may at times find it helpful if you have access to a few things.

A laptop or desktop computer with a webcam and a microphone. Most laptops come equipped with the webcam and microphone you'd need; if not, there are a variety of inexpensive options available via Amazon and other outlets. While the course is largely an in-person offering, the webcam and microphone will be necessary to communicate with us remotely, when circumstances call for it.
You'll also need an Internet connection that is fast and stable enough to stream online videos, and you'll need to be able to reach online services such as Canvas, Zoom, Ed Discussion, YuJa, and your @uci.edu email via that connection. These services are part of how we'll be communicating. If Internet accessibility is a problem, there are some resources at UCI TechPrep that might be of help.
And, of course, you'll also be doing your programming projects and reinforcement exercises on a laptop or desktop computer, as well, and there's a pretty good chance that you'll want it to be the same one, because a factor in our ability to help you debug your work remotely, when circumstances call for it, will be our ability to see it in real time and discuss it with you.

Lecture

A lecture meets on Tuesdays and Thursdays from 5:00-6:20pm in BS3 1200.

The lectures are not recorded, though they correspond pretty closely with the Notes and Examples, so, if you need to miss a lecture, there's no need to panic; a full record of what we did will be available in the Notes and Examples, and I do not ever make special announcements during lectures that are not also made elsewhere (e.g., on this web site, on Ed Discussion, etc.).

Given the size of these courses, attendance is neither recorded nor graded, but we certainly recommend it. Naturally, attendance is required on the days when exams are held, which are listed in the Schedule. See the exam attendance policy below for more details.

Pre-recorded videos

Portions of the lecture material will be pre-recorded and will be available to officially enrolled students via the Canvas course space, in addition to the lecture material that is scheduled to be presented in-person. It is reasonable to expect that a decisive majority of the lecture material will be presented in-person and will not separately be available via pre-recorded videos. As the course unfolds, you'll see that the video content is listed in the Schedule, alongside the lecture content.

Of course, you are under no obligation to watch the pre-recorded videos, and we will not be measuring whether or not you do so. For the most part, the lectures and any pre-recorded videos will corresponding pretty closely with the Notes and Examples, as is usual in my courses these days. But it's hard to imagine you'll get what you came for without watching the videos and attending the lectures.

Where to go online

While the course is predominantly an in-person offering, there are aspects of the course that are administered online.

This course web site is where you'll go to find out how the course is organized, what lecture material you should be learning about, and what you should be working on (projects, reinforcement exercises) in support of that.
A Canvas course space will also be available, which is where you'll find video recordings and links to Zoom meetings. You'll also submit your work there, and will find your raw scores on that work once we've graded it. Only officially enrolled students will have access to this, and we will not be willing or able to spend the time managing individual access for students waiting to enroll.
Any recorded videos that are part of this course will be made available on YuJa, which you'll find linked through the Canvas course space.
Zoom will be used for any online meetings, including my office hours throughout the quarter. Note that all Zoom meetings will be set up to require you to be authenticated as a UCI user; more details on that below.
Additionally, we will have an Ed Discussion discussion board for the course, which you'll find linked through the Canvas course space. Note that there are some rules about its usage — which also can have an effect on your overall grade; see below.
Throughout the quarter, we will be sending email to your @uci.edu email address, so you'll need to ensure that you're able to read and respond to emails sent there.

Online decorum

It should go without saying — though recent experiences tell me otherwise — that we expect a reasonable level of decorum within all of these online spaces at all times. While I won't be able to describe all the ways that you might behave problematically, do be aware that we will not tolerate behavior that is offensive to others, or that disrespects others; just because you're online doesn't relieve you of your obligation to be collegial with one another and with course staff, and there will be repercussions when you do not meet that obligation.

Reinforcement exercises

Roughly corresponding to each week's lecture material will be a collection of reinforcement exercises, whose role is to help you assess your knowledge of each topic. Think of these as "Things you should expect to be able to do and/or explain if you understood recent topics well," so they are a sort of measuring stick that you can use to gauge your understanding. They do contribute to your grade (see below), but also contribute to ensuring yourself that you'll leave this course with what you came for.

These exercises will be released as they are available. Asking when these will be available will not make them available; they'll be posted when they are.

Labs (The ICS H32 Help Center)

There are six lab sections, meeting throughout the day on Mondays, Wednesdays, and Fridays. Collectively, we will refer to all of these hours as the ICS H32 Help Center, which meet at the following times:

Mondays, Wednesdays, and Fridays from 9:30am-12:20pm (in-person, in ICS 364A)
Mondays, Wednesdays, and Fridays from 12:30pm-3:20pm (in-person, in ICS 183)
Mondays, Wednesdays, and Fridays from 5:00pm-7:50pm (in-person, in ICS 364A)

While you are required to be enrolled in a lab section — and this enrollment does determine who will grade your projects — you are generally free to attend the ICS H32 Help Center whenever you need it, regardless of which lab section you are enrolled in, with one caveat: If there are many more students attending a lab than are actually enrolled in it, we may need to prioritize answering questions for students officially enrolled in that lab. (We hope we won't need to do that, but the simple reality is we can't support all of you simultaneously, so we can only promise you our best.)

While it is not a required part of the course, and nothing will be graded in the labs this quarter, attendance does offer some significant benefits:

You will have a chance to consult a TA and one or more in-lab LAs regarding your work; this kind of fast feedback and help can be invaluable as you work through your projects.
You will be surrounded by a large group of other people facing the same problems that you're facing. This kind of shared journey will help you to build a social network that will last you, in some cases, for the rest of your life. Don't squander that opportunity!

Some of our lab sections are laptop-only sections, which means that there are no computers available for general use except one that you bring for yourself. However, these sections will be staffed with the same personal help available in the others, so if you tend to carry a laptop around with you anyway, you will probably find it at least as comfortable as the alternative.

Staffing in the ICS H32 Help Center will be as follows. Note that different TAs will sometimes be attending labs on different days; that's specified in detail below.

Lab Section	Location	TAs	LAs
Lab 2 MWF 9:30am-10:50am	In-Person: ICS 364A Laptop-Only	M: Guangyi Zhang W: Guangyi Zhang F: Guangyi Zhang	Madison Foletta
Lab 3 MWF 11:00am-12:20pm	In-Person: ICS 364A Laptop-Only	M: Salar Hashemitaheri W: Guangyi Zhang F: Salar Hashemitaheri	Alex Zhuang Felix John Zhou
Lab 4 MWF 12:30pm-1:50pm	In-Person: ICS 183	M: Salar Hashemitaheri W: Cora Schallock F: Salar Hashemitaheri	Aashirya Raj Rai Amy Shin
Lab 5 MWF 2:00pm-3:20pm	In-Person: ICS 183	M: Cora Schallock W: Cora Schallock F: Salar Hashemitaheri	Audrey Lu
Lab 6 MWF 5:00pm-6:20pm	In-Person: ICS 364A	M: Cora Schallock W: Alagappan Ramanathan F: Alagappan Ramanathan	Anthony Tam Leo Siu
Lab 7 MWF 6:30pm-7:50pm	In-Person: ICS 364A	M: Alagappan Ramanathan W: Alagappan Ramanathan F: Alagappan Ramanathan	Aziz Alahmadi

The labs will begin meeting on Monday, September 30.

Ed Discussion

Around the time the quarter officially beings, a discussion forum will be created on Ed Discussion. You'll find a link to Ed Discussion on this course's Canvas page, and officially enrolled students should automatically have access to it once the quarter begins.

Within that Ed Discussion forum, you'll be able to ask us (and each other) questions about course material, and can expect to see both course staff and students answering those questions along the way. It is our hope that this can be a useful resource to you, and the course staff will be glad to be of service there throughout the quarter.

However, it's important to note that Ed Discussion is only a positive and productive tool if students use a certain level of etiquette and care in using it, so we'll be requiring that — and your grade can be negatively affected if you do otherwise. So, what does that mean? It begins with a straightforward guiding principle: When you post on Ed Discussion, you're essentially speaking to everyone in the course, which means that the question needs to be appropriate for those circumstances. In practice, that means a few things.

Before asking a question, read the course web site thoroughly and make sure it's not a question that's clearly answered there already. In a typical quarter, about a third of the email I get from students are things that are clearly already answered in detail on the course web site; I'd like that ratio to be lower on Ed Discussion, since that's not just a drag on my time and the course staff's time, but, more importantly, is a drag on everyone's time, including other students.
Before asking a question, use the search box to find existing questions that have already been asked that would already provide your answer. Especially as we get later in a project cycle or nearer to a due date on a reinforcement exercise, many questions will already have been asked and answered; if so, you asking the question again is a drag on everyone's time.
Do not, under any circumstances, post your solutions — in whole or in part — to projects or reinforcement exercises. Note that there is no size threshold below which you can post your work (e.g., "It was only two lines of code!"); we have a zero-tolerance policy for sharing any part of it. If your question is so specific to your own solution that it can't be asked without divulging the contents of your work, or is mainly your speculation about whether an answer (or part of an answer) might be correct, you'll need to ask the question elsewhere, such as a lab meeting or via email.
Do not, under any circumstances, speculate on how to solve projects or reinforcement exercises — in whole or in part — and ask us whether your proposed solution is correct or permissible. Not only are we neither willing nor able to pre-grade your work (on or off Ed Discussion), but we are also unwilling to allow students to share their potential solutions with everyone in the course.
Do not, under any circumstances, ask questions on Ed Discussion about how your work (or others' work) was graded, how your work will be graded, or whether due dates on your work can be adjusted. All inquiries regarding grading, scoring, and due dates must be made directly to the relevant course staff member, via email or in person; we are not willing to spend everyone's time on individual issues like these.
Ed Discussion is a forum for course-related content, discussing and learning about related things (e.g., aspects of Python not being taught in the course), and getting assistance. It is not a general discussion forum, nor is it a social media platform, so keep the discussion on topic. We are holding you to the standard of treating each other with respect, which importantly includes respecting other people's time (which is why we're forbidding off-topic discussion, self-promotion, and the like). Additionally, we will not tolerate any type of personal attacks, memes, cyber-bullying, negativity, or hurtful behavior.

Textbooks

This course requires no textbook, as I will be providing a complete set of Notes and Examples covering every lecture this quarter.

Note that you might find a book that complements the lecture material and helps you fill in details that you missed while listening to me speak for eighty minutes, though I think the Notes and Examples section will generally be enough information for you to succeed. If you prefer a book (or online supplements of your own choosing) other than what I'm providing, that's generally fine, though do be aware that style and approach among practitioners of a programming language tend to differ, particularly with respect to a language with the long and varied history of Python. We'll be expecting you to follow similar conventions to those we're learning about in this course.

Additionally, one of the main skills you'll be building in this course, aside from broadening and strengthening your Python programming skills, is the ability to find, analyze, and synthesize information in online documentation, tutorials, and other materials that make libraries — not just those that are included with Python, but also those that are obtained from third parties — accessible to you and useful in solving real programming problems. To that extent, the Internet will serve as a significant "textbook" for us, as well. (Be aware, though, that this does not include using solutions to these projects written by previous students, nor to the use of generative AI; see the section titled Academic honesty below for more details.)

Accommodations for disabilities

Any students who feel that they may need an accommodation based on the impact of a disability should contact me privately to discuss these specific needs. Also, contact the Disability Services Center online or by phone at (949) 824-7494 as soon as possible to better ensure that such accommodations, such as alternative test-taking environments or note-taking services, can be arranged for you in a timely way.

Grading

Weights of graded artifacts

Your course grade will be determined from the weighted combination of your scores on each of seven programming projects, eight sets of reinforcement exercises, and an in-person Final Exam. The weights of each of these are:

Two warm-up projects (Project 0A and Project 0B), 6% (weighted equally at 3% each)
Five projects, 40% (weighted equally at 8% each)
Eight sets of reinforcement exercises, 16% (weighted equally at 2% each)
Final Exam, 38%

Exam attendance policy

Your attendance at the Final Exam on the scheduled date and time is a required part of your enrollment in this course. You will find that date and time listed in the Schedule.

Verify at the start of the quarter that you'll be able to attend the exam as scheduled and, if not, you'll need to find another course to enroll in. Once you remain enrolled in this course, you've made a commitment to attend the exam as scheduled, and we will not, under any circumstances, schedule a Final Exam at a different time to accommodate a scheduling conflict, regardless of whether you were aware of it ahead of time. It is your responsibility to keep your schedule clear, and to arrive at the exam on time and ready to put in your best effort; it is similarly your responsibility to take the necessary precautions to reduce the chances of illness. Your score on an unattended Final Exam is zero, with your grade calculated accordingly.

The only exception to this policy is a documented illness or incapacitation, where, to be clear, the documentation must come from a position of authority — a doctor, a police department, campus authorities, or the like — and clarify why it was not possible for you to attend the exam as scheduled. Things like claims of "I'm not feeling well," photographs of in-home medical testing kits, emails from family members or friends do not constitute documentation under this policy.

An excused exam absence (consistent with the policy above) will need to be made up in-person during a subsequent quarter, with your grade marked as I (Incomplete) until such time as it has been made up. We will not be offering an online exam option in this course under any circumstances.

Online participation and decorum

While it is not our intent to measure your participation — in the sense that we won't be tracking whether you're attending the lectures, watching pre-recorded videos (if any), attending the lab sessions, and so on — we are requiring that students meet the decorum requirements described above. We reserve the right to deduct as much as 10% from a student's grade when their behavior does not follow those decorum requirements, with repeated or severe violations warranting larger-sized deductions. My sincere hope is that no one will receive these deductions, but we do reserve the right to use them if need be.

(Note, too, that you'll be notified as soon as we've decided that you'll be receiving one of these deductions, so you don't need to worry that we'll suddenly be reducing your score at the end of the quarter unannounced.)

Determining final grades

Course grades will be determined neither on a normal curve nor a straight scale. It is guaranteed that overall scores over 90% will receive an A- or better, scores over 80% will receive a B- or better, and scores over 70% will receive a C or better. However, the actual cutoffs may be lowered at the end of the quarter. In short, it is not my intention to fail half of the students, nor am I planning on giving only 2% of the students A's, but I prefer not to constrain myself with either a straight scale or a formalized curve.

Unforeseen circumstances may lead to changes

This course has been designed specifically for in-person delivery, in a way that takes into account the potential for some uncertainty along the way. While we'll certainly do our best to leave these policies — as well as the general structure of this course — intact, it is possible that unforeseen circumstances may require us to make modifications along the way. If so, we'll make those modifications in a way that attempts to preserve the spirit of the course and its grading to the extent possible, and we'll notify everyone of any necessary changes as soon as we can, but will not be willing to engage in an individual or group negotiation about the changes made.

Asking questions about graded work

It's worth taking a moment to understand a few logistics about how we're handling grading in this course — and, in turn, how you might ask questions regarding how your work was graded. Large courses require some logistics in order to run smoothly, and we thank you in advance for paying careful attention to the ones described here.

You'll find that different work of yours will be graded by different people, as the grading job is too big for any one member of the course staff to handle it on their own. Sometimes, it'll be the TA who's in charge of your lab section. Other times, it'll be another TA or one of our readers. Once in a while, it may be the instructor, too.

There are three things you'll need to understand about this process: Knowing who graded your work, knowing how to contact them appropriately, and understanding the guidelines for re-evaluation of your work.

How do I know who graded my work?

Whenever there's a score less than full credit, there will be an accompanying comment in Canvas. For projects, the comment will usually look something like the one you see below — generated by our behind-the-scenes automation tools — which is a comment that appeared on someone's project submission during a previous quarter.

Example of comment on graded work

The name underneath that comment — in that case, it was one of the TAs in that course: Robin Song — will tell you who graded your work. The substantive portion of the feedback can be found in the attached file (often named report.txt) that will accompany your grade in Canvas.

For exercise sets, the comment will usually explain any deductions directly, such as this comment that appeared on someone's exercise set during a previous quarter.

Example of comment on graded work

Again, the name underneath that comment specifies who graded the work; in that case, it was a reader in that course: Ethan Ho.

How should I contact the person who graded my work?

As a first step, contact the person and only that person privately, which you can do in one of two ways: By sending them email, or by attending a lab in-person when they're attending. You'll find contact information (and, in the case of TAs, lab attendance schedule) elsewhere in this Course Reference.

As discussed above in the section regarding Ed Discussion, do not ask grading-related questions on Ed Discussion, as these are individual matters and it is not appropriate to spend everyone's time on them.

Also, do not post comments on Canvas in response to the scores you've received, as we receive no notification when those comments are made, so we have no way to know that they're waiting for a response.

Guidelines on the re-evaluation of your work

If you believe that you've been graded unfairly, your first move is to contact specifically the person who graded the work privately and discuss the issue with him or her directly. Do not include me in these communications; with hundreds of students enrolled in my courses, I do not have the bandwidth to arbitrate every grading issue. Ultimately, nearly all issues are resolved without my involvement.

Note that we will not reconsider the rubric used to grade your work afterward, but if it was applied unfairly or incorrectly to you, in particular, we can consider an adjustment. Note, too, that the word "unfair" is not defined as "Not the way I would have preferred it to be done, so that my score would have been higher," nor "Not the way I would have done it if I had noticed the requirement that led to a deduction," nor "Not the score I would have received if I'd been graded on effort instead of results." It is not unreasonable for us to expect that you've read and understood an assignment in its entirety before completing and submitting it, and it is not unreasonable for us to grade on the basis of things like completeness, correctness, and quality, as opposed to how much time you claim to have spent on it or how badly you say you needed a certain score on it. Similiarly, it is not unreasonable for us to be the ones to define what constitutes completeness, correctness, and quality.

Note, also, that we will not be willing to regrade your work by having you demonstrate it on your own laptop or device, or by sending videos or screenshots of it. We are only willing to grade what was submitted before the deadline, and we are only willing to grade your work in the way that we graded everyone else's, which means that we must retain control over what files we grade and the environment in which we grade them.

Instructor-level arbitration

If, after you've contacted the person who graded your work and had a conversation about it that reached a conclusion, you still believe that you haven't been treated fairly, you are then (and only then) welcome to raise the issue with me and I will arbitrate, though I should point out that it is relatively rare that I overrule a grader's judgment. I've communicated a fair amount with the graders ahead of time about how assignments should be graded, so they're generally acting on my instructions, which means that I don't find very often that I think work has been graded unfairly. Once an assignment has been graded for everyone, we will not be willing to renegotiate the rubric and then regrade everyone's work accordingly, much less solely regrading yours on such a basis.

Dropping the course or changing grade option

Through the end of Week 2 (Friday, October 11), you may drop the course by simply going to WebReg and dropping it. If you wish to drop the course after that date, you will need to use the Enrollment Exceptions system to request a drop; I do not have the final say over those, ultimately, as the Dean of the Bren School (and your major, if you are majoring in something outside of the Bren School) must approve them. It is not generally the case that an exception will be accepted simply because you're not doing well in a course, though extenuating circumstances are certainly considered.

Similarly, changing your grade option (to Pass/NotPass or back again) can be done via WebReg through the end of Week 2 (Friday, October 11), after which you must use the Enrollment Exceptions system to request the change. As with exceptional drops, you must receive approval from the appropriate Deans, and that approval is not guaranteed, and I do not have any influence over them.

Enrolling in the course after it begins

Even in courses with no available capacity, students are sometimes able to enroll after the beginning of the quarter — sometimes even as late as the end of Week 2 — but the presumption is that students attempting to enroll in the course (e.g., by being on a waitlist, or simply considering it from the outside looking in) have been keeping up with the coursework. Essentially, the day you add the course, we expect that you'll be at the same point in the coursework as everyone else, and that any past due dates have already been met.

Finding out how to become enrolled

This particular offering of ICS H32 has no official waitlist.

If you have questions about enrolling in the course, adjustments to its capacity, or other such matters, your best bet is to speak with the ICS Student Affairs Office. As they are managing enrollments amidst a variety of competing constraints, there is essentially nothing I can do to help with enrollment-related matters.

Access to resources while waiting to enroll

Essentially all of the materials for this course can be found right here on the course web site, which is available on the open Internet. So, fortunately, you will not need to be enrolled in order to remain up to date; all you'll need to do is revisit these pages (and possibly reload them) as they're updated.

Provided that classrooms and lab meetings have empty seats, you can feel free to attend classes while you wait to enroll. If classes are filled to physical capacity, you'll need to leave to make room for someone who is officially enrolled.

Since there is no official waitlist, we have no automated mechanism to manage access to the resources such as Canvas that are restricted to enrollees, and we will not be able to spend time managing individual Canvas access for students not officially enrolled in the course. Essentially, this means that those resources will simply be unavailable until you become enrolled.

Submitting your work while waiting to enroll

Aside from the Final Exam, all of your work is to be submitted on Canvas. Students not enrolled in the course will not have access to Canvas. However, this does not remove the obligation to be finished with assigned work when it's due, and to be caught up at the time of your enrollment. If you've taken a seat from someone else who is caught up, it's only fair that you've also kept up. To allow for timely submissions from unenrolled students, the following policy will need to be followed.

If you enroll in the course before any due dates have passed, no problem. Once enrolled, your Canvas access will be established, and you'll be able to submit your work on time, as expected.
While you are attempting to enroll in the course, you'll need to keep up on any assigned work as scheduled. If it's time to submit it and you have no access to Canvas (because you are not enrolled), you'll need to instead email the instructor your submission prior to the due date in lieu of submitting it to Canvas. Note that this doesn't constitute a final submission, but does establish a timestamp on that submission. Once you've enrolled, you'll need to do the following:
- Wait until you have Canvas access. (This is automatic after your enrollment, but can take a little time. There will be nothing that course staff can do to speed that up.)
- Contact the instructor via email to request a submission window within Canvas.
- The instructor will modify your due date temporarily, allowing you to make a submission to Canvas. What you submit must exactly match what was emailed prior to the due date.
- After you've made your submission to Canvas, email the instructor, who will verify that the submission exactly matches what was emailed prior to the due date. If it does, it will be accepted; if not, it will be rejected, your score will be recorded as zero, and you will not be given a second attempt to submit your work.

Beyond the policy described above, late work will not be accepted from late enrollees in the course under any circumstances.

The above policy does not apply to normally enrolled students. Due to the substantial overhead involved in handling them, we do not accept submissions via email from enrolled students under any circumstances; if you're enrolled in the course, submit your work to Canvas.

Academic honesty

The policy

As a student enrolled in ICS H32, you are expected to know and follow the academic honesty policies of both the Bren School of ICS and the University as a whole. Please take a few minutes to read the policies, which can be found at this link.

All of your work on projects and reinforcement exercises is expected to be completed solely by you. Working in larger groups and/or sharing of code or solutions between students is not permitted. Note that "high-level discussion of course material for better understanding" is permitted and encouraged, but when it comes time to sit down and write code, that is expected to be done by you and you alone. Note, also, that this disallows the use of automatic systems, such as generative AI systems like ChatGPT, from producing any part of your solution, because that, too, would not be code written solely by you.

All submissions are compared to one another using an automated plagiarism detection system. This system is extraordinarily good at finding similarities between submissions, even when there are superficial differences. (Note that we also compare your submissions to those submitted during previous quarters whenever one of these assignments was given during a previous quarter, so it is an exceedingly bad idea to turn in, or even refer to, code written by a friend of yours who took the course already.)

Since all of your work is expected to be completed solely by you, you will be held responsible even if you plagiarize only a small portion of someone else's work.

Academic honesty is a two-way street. Providing your code to other students for them to turn in as their own is not permitted any more than turning in someone else's code. Resist the temptation to give code to your friends "for reference." Based on my experience, I can say that your "friends" may very well betray you and turn it in, anyway, and then you'll have a lot to answer for.

Naturally, the Final Exam is also expected to be an individual effort. Dishonest behavior during an exam will not be tolerated.

All violations of academic honesty policies will be reported to the UCI Office of Academic Integrity & Student Conduct (AISC) and will trigger an administrative procedure, which is described on their web site. Additionally (and at least as importantly), you can receive a course grade of F — as a number of students in my courses do, because of this issue, every quarter — without the option to drop the course to avoid the grade. A single documented case of academic dishonesty may also have other ramificiations, such as precluding you from switching into computing majors, registering for computing minors, joining the ICS Honors Program, and graduating from a computing major with honors. All of this is University and Bren School of ICS policy and is not subject to negotiation.

Knowing when you're being dishonest

I've been asked by students how they know when they're crossed the line between asking for help and being academically dishonest. To me, there is a fairly straightforward way to know the difference. Did you actually write the code in question? That's not a matter of whether you typed it in; that's a matter of whether it was you who wrote it (i.e., it is comprised of your own ideas about how to solve the problem, how to organize the solution, and so on).

The easiest way to determine whether you've crossed the line is whether your work was driven by someone else's existing solution. Here are some examples:

If you ask someone to help you resolve a compile-time or run-time error in your program, so you would understand what the error meant, that's fine.
If you ask someone for help on a project and they responded by giving you a copy of their work, you already have one foot on the line the moment you receive it. If I were you, I would delete it, or not ask for it in the first place.
If you ask someone else to help you understand a concept like recursion or the use of pointers, and the other student suggests a way you might think differently about the problem you're solving, that's fine.
If you ask someone else to help you understand how to solve part of the project, and the other student brings up a copy of his or her solution and walks you through it — even if you don't look at it yourself — you've crossed the line.
If you obtain a copy of someone else's solution to a project and you refer to it and use it to drive the work you're doing — in whole or in part — you've most definitely crossed the line. Copying someone else's code, typing in someone else's code, taking someone else's code and cosmetically changing it to make it appear superficially different are all (obvious) examples of academically dishonest behavior, yet upwards of 10% of my students are caught doing this — and sanctioned for it — every quarter. Please don't be one of them.
If you provide someone with a copy of your work and they submit it as their own, you are also involved in academically dishonest behavior, and you should be aware that you can also be sanctioned for this, just as the other student can. Your best bet is not to share your work with other students, yet a not-insignificant percentage of my students are caught doing this every quarter, as well.
If you ask a generative AI system to write a solution to some or all of an assignment, you've crossed the line.

In my view, this really isn't that complicated. We require you to do your own work, because that's how the learning is done in this course. A large part of what you're learning to do is to design and write programs, a skill that can only be built by designing and writing programs. You have to make the decisions about what to do next, how to organize your program, and so on. If someone else is making most of those decisions for you, you're not building the skills necessary to be ready for the courses that follow on from this one. And, from the standpoint of academic honesty, if someone else is making most of those decisions for you, that's plagiarism.

The lesson

Okay, so the moral of the story is that it's wise to avoid cheating. I believe that it's relatively rare that students enter a course with the conscious intent to cheat their way through it; why come to UCI if you're not planning to get something out of the coursework? So why do people cheat every quarter in every course? The answers vary, but here's the easiest way I can boil down the numerous conversations I've had with students caught cheating in my courses over the years: I fell behind and couldn't figure out how to catch up. Things happen and ten-week quarters are unforgiving. You might get sick, you might have issues crop up in your family, you might have misunderstood one of the earlier topics in this course (or one or more important topics in previous coursework) on which later topics depended, you might have an off-campus job that's demanding too much of your time, you might be trying to decide whether you're on the overall life path you want to be on... Any of those things (and many others) can make it hard to keep up. You fall a little behind, you fall a little further behind, and pretty soon the situation seems hopeless. You're under pressure, temptation gets the better of you, and suddenly it seems better to submit someone else's work than to submit nothing. As upwards of 10% of my students (who have cheated like this) can attest, it's not.

If you feel like you're beginning to slip off course or things are getting beyond your control, the best thing to do is to talk to us sooner rather than later. We're here to help; we understand. But the reality of taking large-sized courses at a large-sized institution is that we're not going to know you're in need unless you tell us. If things are happening in your life, tell us; you don't have to be specific if you're not comfortable with it. Before the fact, there's often a way to work things out. After the fact, it's usually too late.

And, in general, some students won't pass this course with a C or better this quarter, and won't be ready to take follow-on courses yet. And that's not as disastrous as it sounds. Most students who get less than a C in ICS H32 take the course again; most of those who take the course again pass it the second time around, with their feet firmly underneath them and ready to move forward.

Reusing one's own work

If you took the course during a previous quarter, it's worth noting that reusing one's own work is not defined in this course as plagiarism. If you originally wrote it, it is not plagiarism to reuse it.

That said, taking a course a second time and submitting one's own work without doing things again from scratch is usually a recipe for failing the course the second time.

I'd ask myself whether reusing your own work, in general, is a good approach. If you failed the course previously, it means there are substantial parts missing from your understanding, and they could be strewn throughout the course, including buried in the details of assignments on which your scores were high the last time.

My suggestion is to pretend like you haven't taken the course before and do everything from first principles. Otherwise, you may find yourself reaching the same points in the course with the same misunderstandings you had before, which will ultimately lead to the same outcome.

Sharing your own solutions online

Some of our past students have wanted to post their own solutions to their projects online, with the goal of helping others or just showing off work that they were proud of. This is also problematic from an academic honesty perspective, because many or all of the projects you're working on will be reused in a future quarter; good problems are good problems, and I don't rebuild five new projects every quarter. Given that, posting your prior work online will absolutely lead to other students finding it and plagiarizing it — this is now one of the more common root causes of plagiarism cases that we find.

I can appreciate, of course, that you might want to build a portfolio of work to demonstrate your skills as you build them, and I'm not unsympathetic about that. However, the reality is that posting solutions to first-year coursework is very unlikely to be of use in job searches or other professional scenarios. I've asked a number of hiring managers over the years, including ones I've worked for in my industry career, and have universally received the same response about it: Hiring managers generally aren't interested in seeing prior homework. Projects in courses like this one are sanitized, in the sense that they're problems that have been designed to be solved using techniques just taught, with the requirements clearly spelled out, and with few enough rough edges that a large number of students can solve them without encountering roadblocks that can't be overcome. Real-world work isn't like this, as it turns out. Figuring out what needs to be built is as important as figuring out how to build it. Building a portfolio is best done with your own solutions to your own problems, containing things you've written to scratch your own technology itches or explore concepts that you wanted to learn more about on your own.

So, in general, despite the fact that you may be proud of the work you've done, you need to understand that there is a very strong likelihood that the only thing you'll be doing is enabling future students to plagiarize your work — and quite possibly becoming embroiled in the investigation yourself and being reported to AISC — while not accomplishing much of anything positive for youself.

Do not share your prior solutions online, during or after the quarter.