UCSD CSE 11 Summer 2 2022

Accelerated Intro to Programming

Greg Miranda

In this course, you will learn to write, trace, and test programs; explore the interactions between programs and data; and practice organizing programs for clarity and re-use.

We will explore these topics interactively in lecure, you will implement programs to practice your programming skills, and you will reflect on this learning through your own program designs.

This web page serves as the main source of announcements and resources for the course, as well as the syllabus.

On an average week in CSE11 during summer, you can expect to spend 8-12 hours on videos, reading, lecture, and discussion; 4-6 hours on programming practice; and 8-12 hours working on your programming projects. If you find yourself spending dramatically more time than this, it’s a good idea to contact the course staff and discuss more efficient strategies in office hours.

Course Components

There are a few components to your grade in the course:

We may adjust the above scale to be more lenient (depending on a number of factors that we will not publicize), but we guarantee that we will not adjust the scale to make it harder to get a better grade. We will not adjust the scale for individual students.

Problem Sessions – Lecture

Most course content will be presented asynchronously through videos and readings, with associated interactive activities. Lectures will involve problem solving with your classmates. Participation is not required at problem-solving sections, but it is highly encouraged.

In-person sessions will be led during the normally-scheduled lecture times in the normally-scheduled room, led by the instructor. These sessions will be recorded by podcasting but will not be available remotely while they are ongoing. You can find the recordings in the Canvas Media Gallery or at podcast.ucsd.edu

Since these lectures may be mostly student discussion, the recordings are mostly an archive of any live demos that come up rather than a presentation of core content.


Teaching Assistants (TAs) will hold a weekly discussion section to cover the weekly programming assignment, review prior content, and answer student questions. Participation is not required at problem-solving sections, but it is highly encouraged.

Like lectures, discussions will also be recorded and made available in the Cavnas Media Gallery.

Book Exercises/Quizzes and Course Engagement

Along with each lecture will come some required pre-lecture work. Most often this will be reading and activities from our Stepik textbook, and will also sometimes include surveys or check-in quizzes so we can get your feedback about the course and check on your understanding.

The online texbook records your progress, and we give a schedule of expected times to finish the readings. There is no penalty for completing these late, but they are assigned so that you will be prepared to participate in problem solving session and so that you know the expected pace of the course.

All Stepik exercises must be completed by the last day of class in Week 5: September 3rd, 2022 at 10pm. After this time, no late submissions will be accepted, for any reason.

To ensure you get credit for the Stepik exercises, you must fill out this form by Friday of Week 1. Starting in Week 2, we will strive to post Stepik grades to Canvas every week.


Every week there will be one or two programming assignments. Direct practice with programming will make up the majority of your work in the course.

There are numerous opportunities to get feedback on your work and improve:

After you receive your grade you can continue to improve your assignment based on the feedback from grading. You can resubmit your work to the Late/Resubmit submission and request to have your work regraded one more time (for each PA) using Piazza.

A staff member will grade your resubmission and let you know when it has been graded. Note: depending on how busy the staff is, it may take a few days to grade your resubmission. It may also take a week or so after it’s graded before the grade is moved to Canvas.

There is no penalty for resubmissions, you can still earn full credit. We will take the highest score between your original submission and your late/resubmissions.

The Late/Resubmit process applies if your submission is late. You should strive to complete each PA before it’s posted deadline as the PAs are practice for the exams. You will also receive earlier feedback and an extra grading attempt if you submit before the original deadline.

The Hard deadline for all late/resubmissions is Thursday of Week 5 at 10pm. We will not accept any submissions after that time, for any reason.

Each student gets a free “slip day” that allow an automatic 24-hour extension on any programming assignment (PA). You do not have to ask to use your slip day. Just submit your assignment after the deadline (but before 24 hours after the deadline) to automatically use your slip day.

You must score at least 55% (average) on the programming assignments of this course (add the 8 PA percentages, divide by 8). If you average lower than 55% on the assignments, you will receive an F for the course, regardless of your overall average.


There will be two in-person exams in this course: a midterm and a final exam. The exam dates/times are shown below:

The final exam will be cumulative and will cover all topics discussed in the course. You must pass the final exam to pass this course. You must score at least 55% on the final exam to pass the final exam.

If your final exam score (in percentage) is higher than your midterm score, then your midterm score will be replaced by your final exam score!


Academic Integrity

Individual assignments will describe their academic integrity requirements. You should pay attention to the descriptions of what collaboration is allowed and expected on each assignment.

One challenge we face as an instructional team is verifying that students are submitting their own work. We rely on ID-checked exams to mitigate this particular challenge to academic integrity.

Assignments and exams will come with specific policies for what types of collaboration is allowed, but we have one course-wide policy – we may reach out to students to schedule a check-in on their understanding of work they’ve submitted if we’re suspicious about an academic integrity violation.

This would involve a meeting with a TA or instructor to check that the student has the understanding demonstrated by their work.

We don’t expect to use this option much (certainly you are a student that acts with integrity!), but we state it clearly in the syllabus in case it becomes necessary so it isn’t a surprise to anyone.

You should be familiar with the UCSD guidelines on academic integrity as well.


Mistakes sometimes occur in grading. Once grades are posted for an assignment, we will allow a short period for you to request a fix (announced along with grade release). If you don’t make a request in the given period, the grade you were initially given is final.

Diversity and Inclusion

We are committed to fostering a learning environment for this course that supports a diversity of thoughts, perspectives and experiences, and respects your identities (including race, ethnicity, heritage, gender, sex, class, sexuality, religion, ability, age, educational background, etc.). Our goal is to create a diverse and inclusive learning environment where all students feel comfortable and can thrive.

Our instructional staff will make a concerted effort to be welcoming and inclusive to the wide diversity of students in this course. If there is a way we can make you feel more included please let one of the course staff know, either in person, via email/discussion board, or even in a note under the door. Our learning about diverse perspectives and identities is an ongoing process, and we welcome your perspectives and input.

We also expect that you, as a student in this course, will honor and respect your classmates, abiding by the UCSD Principles of Community (https://ucsd.edu/about/principles.html). Please understand that others’ backgrounds, perspectives and experiences may be different than your own, and help us to build an environment where everyone is respected and feels comfortable.

If you experience any sort of harassment or discrimination, please contact the instructor as soon as possible. If you prefer to speak with someone outside of the course, please contact the Office of Prevention of Harassment and Discrimination: https://ophd.ucsd.edu/.