EECS 280: Programming and Introductory Data Structures Syllabus

The University of Michigan, Fall 2021

Computer science fundamentals, with programming in C++. Build an image processing program, a Euchre card game, a web backend, and a machine learning algorithm.

Instructors

Jon Beaumont <jbbeau@umich.edu>
James Juett <jjuett@umich.edu>
Somayeh Molaei <smolaei@umich.edu>
Sofia Saleem <sofias@umich.edu>

Course Components

Lectures are offered via in-person, recorded, and asynchronous formats. You may attend or participate in any lectures, regardless of your registered lecture section.

Labs are held in-person, with most work completed in small groups of four. Course staff facilitate lab sessions and are available for questions. Lab attendance is required for credit. We will drop the two lowest lab scores for each student at the end of the term.

Projects may be completed either alone or in a partnership and turned in to an autograder.

Exam details are TBA. We are assessing several options and will announce more details.

Office hours will be held via video conference, both one-on-one and in groups.

COVID-19 Policies

Our goal is to provide an effective and safe learning environment in EECS 280 that is as close as possible to a traditional in-person term. We also understand that the pandemic affects students in significant and varied ways, and we will work to ensure all students are able to participate in the course. Please reach out to us to discuss specific challenges or needs you have.

As they have throughout the past year and a half, policies around academic and public health are subject to change as this pandemic evolves. This course will follow all policies issued by the University. Please see the Campus Blueprint's FAQ for the most up to date information.

Computer and network recommendations

We recommend you have a personal laptop consistent with CAEN recommendations.

Test your internet connection with the U-M Custom Speedtest website and make sure it meets the minimum requirements for any UM service. You'll need more bandwidth if there will be multiple simultaneous users in your household.

Resources for help with computing equipment:

You may also use computer workstations in CAEN labs on campus or connect remotely.

Overview

EECS 280 is a second-semester foundational programming course. You'll learn how to write correct programs that are easy for others to understand and modify. We focus on computer science concepts including:

  • Value and reference semantics
  • Functional abstraction
  • Data abstraction
  • Inheritance and Polymorphism
  • Dynamic resource management
  • Compound Types
  • Encapsulation
  • Container Data Structures
  • Recursion
  • Generic Programming
  • Higher-Order Functions
  • Testing and debugging
  • Stacks and queues
  • Linked lists and binary trees

In our exploration of these concepts, we cover many elements of the C++ language:

  • Arrays and Vectors
  • File and stream I/O
  • C and C++ strings
  • Pointers
  • Structs and classes
  • Operator overloading
  • Derived types
  • The Big Three
  • Templates
  • Iterators
  • Functors
  • Exceptions

Prerequisites

ENGR 101 or ENGR 151 or EECS 180 or EECS 183 with a minimum grade of "C". Prerequisites may be waived with transfer credit or a proficiency exam. Contact the CSE Advising Office in Beyster 2808 or at ugadmin@eecs.umich.edu.

Commitment to Equal Opportunity

As indicated in the General Standards of Conduct for Engineering Students, we are committed to a policy of equal opportunity for all persons and do not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, height, weight, or veteran status.

Diversity and Inclusion

We care about our course community and want it to be a place where all students feel included, valued, and safe to learn from and with others. Diversity of thought and of people are important to us. We ask that you treat all other students with respect and work to create an inclusive community, and we hold ourselves to the same standard. Please feel free to contact us with any problem, concern, or suggestion. You may also report any concerns or misconduct via the resources linked at https://cse.engin.umich.edu/about/reporting-concerns-and-misconduct/.

Students' Mental Health and Well-being

University of Michigan is committed to advancing the mental health and well-being of its students. If you or someone you know is feeling overwhelmed, depressed, and/or in need of support, services are available. For help, contact Counseling and Psychological Services (CAPS) at (734) 764-8312 and https://caps.umich.edu during and after hours, on weekends and holidays, or through its counselors physically located in schools on both North and Central Campus. You may also consult University Health Service (UHS) at (734) 764-8320 and https://www.uhs.umich.edu/mentalhealthsvcs, or for alcohol or drug concerns, see www.uhs.umich.edu/aodresources. For a listing of other mental health resources available on and off campus, visit: https://caps.umich.edu/article/um-mental-health-resources.

Textbook

The course notes cover the same material as lecture, sometimes in more depth or with additional examples.

(Optional) C++ Primer by Lippman, Lajoie and Moo. 5th edition. May be used as a reference for the C++ language.

Many C++ reference materials are freely available online.

Communication

eecs280.org links to all course resources and is required reading. The page will be updated each week with general announcements and course content.

Piazza is the course discussion forum, best for technical questions and project help. Do not publicly post your code.

Administrative requests must be submitted through the forms linked from eecs280.org:

Extension requests will only be considered if made at least 24 hours before the assignment deadline unless an emergency prevents prompt communication to course faculty or staff.

eecs280staff@umich.edu reaches the course staff. (Please do not use this email for technical questions or requests covered by the administrative forms.)

Individual professor email addresses are best for confidential matters.

Canvas is where we publish important announcements and grades. It is your responsibility to verify you can receive Canvas announcements.

Exams

There will be one midterm and one final exam. Exam dates are posted on eecs280.org

Alternate Exams

We may provide alternate exam times for students with a valid, documented conflict with a required activity in another course, or university-affiliated athletics. All requests for alternate exams must be submitted through the administrative form linked on the course website.

We also provide alternate exams in cases of unanticipated medical or personal emergencies.

Labs

Labs consist of a short large-group review followed by work in small groups to complete a worksheet. Course staff facilitate labs and are available for questions. Labs are be graded on attendance and completion of the worksheet, submitted as a group. Attendance is taken at the beginning of the small-group worktime. Individuals will not receive credit for the lab unless they are present when attendance is taken.

Projects

You will complete five major programming projects ranging in size from ~100 to ~1,000 lines of code.

Project Partnerships

Project 1 is independent. You may work either alone or in a partnership for the remaining projects.

If you work in a partnership, you must partner with a student registered for EECS 280 this term (any section). You must not partner with anyone outside the course. For those retaking the course: if you submitted an assignment in a previous term, you must not partner on that same assignment this term.

You may change partners between projects. You must not change partners during a project. In exceptional cases, you may request partnership dissolution via email to the faculty. If the dissolution is granted, both partners may use previously shared code and both partners must work alone on the remainder of the project.

You and your partner turn in the same solution to the autograder. You must register your partnership on the autograder.

Project Grading

We use a web-based autograder to evaluate correctness, style, and the thoroughness of your tests.

Before the deadline, you may submit up to 3 times per day. After each submission, the autograder shows the results of the public tests released with the project.

After the deadline, the autograder shows the results of private tests, which are usually more thorough than the public tests.

Your final project score is a combination of public and private tests. We use the submission that received the combined best score. If multiple submissions share the best score, we grade the last.

Programming Environment

You are free to develop on any platform. You are responsible for any differences between your preferred platform and the grading platform, so use only ANSI/ISO standard C++. We recommend testing your code on CAEN Linux, which provides version 4.8.5 of the g++ compiler, the same version used by the autograder.

Project Tips

Tips for doing well on the projects include:

Tips for project partnerships include:

Grades

Letter grades are assigned on a straight scale with curved exams. In general, our goal is be consistent with past semesters.

Compared to previous semesters (before Winter 2021), exams are weighted less. Additionally, letter grades are assigned on a straight scale and exams are curved individually. The new process is intended to increase transparency, and we expect the overall grade distribution to remain consistent with past semesters.

We calculate your total weighted score using these weights.

Assignment Weight
Lab (all labs equal weight) 10%
Projects (p1 5%; p2-p5 11% each) 49%
Midterm Exam 20%
Final Exam 20%
Computing CARES entry and exit surveys 1%
Total 100%

After computing the total weighted score, we use these ranges to assign letter grades. Each range is half-inclusive, for example a score of 89.99% is a B+ and a score of 90.0% is an A-.

Total weighted score Letter grade
0 - 50% E
50 - 60% D
60 - 70% C-
70 - 77% C
77 - 80% C+
80 - 83% B-
83 - 87% B
87 - 90% B+
90 - 93% A-
93 - 97% A
97 - 100% A+

Curve

After each exam, we may adjust your score to account for the difficulty of the exam. In general, our goal is a mean in the low-mid 80's. We will never adjust scores downward.

Minimum scores

To pass EECS 280 with a C or better, your total weighted project score must be at least 60.0%, and your total weighted curved exam score must be at least 70.0%.

Deadlines and Extension Policy

We do not accept late work. Project and lab submissions are not allowed past the deadline.

Students adding EECS 280 late may petition for additional time to turn in assignments.

We will consider extension requests made at least two weeks in advance, for example, for religious holidays or planned medical procedures.

If you experience a medical or personal emergency, please reach out to us! We will consider exceptions on a case-by-case basis. Please provide documentation of the emergency if you are able, as this helps us make appropriate accommodations.

If you must miss a lab due to e.g. a planned medical procedure or an unanticipated medical or personal emergency, please fill out the exception form linked on eecs280.org. We will drop the two lowest lab scores for each student at the end of the term.

Request an extension/exception using the form linked from eecs280.org.

Regrades

Exams are graded by hand. We will provide an opportunity to request a regrade to correct grading errors. We will regrade the entire problem and fix any mistakes (your score may go up or down).

Labs are graded for attendance and completion. You may check your scores on Canvas. Please report any clerical errors.

Projects are automatically graded. We do not accept regrade requests.

In all cases regrade requests are due no later than 7 days after a grade is released unless a shorter deadline is specified.

Academic Integrity

We encourage collaboration in EECS 280, especially on concepts, tool, specifications, and strategies.

All work you submit must be your own or your partnership's. Collaboration must not result in code that is identifiably similar to other solutions, past or present.

Encouraged Collaboration Unacceptable collaboration
Sharing high-level design strategies, e.g., helper function organization or data structure choices Walking through an important piece of code step-by-step, sharing pseudocode, sharing comments
Helping others understand the spec or project nuances Providing your code as a reference
Helping someone debug Debugging someone's code for them
Explaining a compiler error to someone Fixing a compiler error for someone
Discussing test strategies Sharing test code to verify someone else's design, even if test cases are not submitted
Brainstorming edge cases for testing Discussing specifics about what tests exposed instructor bugs on the autograder
Sharing code provided by the course staff

Copying code in whole or in part, even if the code is modified

Writing original code for someone else, or paying someone to write your project

Looking at someone else's code to understand concepts Sharing your code in a way that could be copied, e.g., sending code over email or taking a picture of code

You are still responsible for following these rules even after finishing the course.

If you are unsure about what constitutes an honor code violation, please contact the course staff with questions.

Code reuse

If you are retaking the course, you may reuse your own code, provided it was wholly written according to rules outlined in this syllabus. It is possible for instructors to miss an honor code violation in a previous term, but catch and report it when the code is reused.

Code publishing

You may not make your code publicly available in any form, for example in a public GitHub repository or personal website. You are still responsible for following these rules even after finishing the course.

Honor Council Process

We report suspected violations to the Engineering Honor Council. To identify violations, we use both manual inspection and automated software to compare present solutions with each other, with past solutions, and with code found online. The Honor Council determines whether a violation of academic standards has occurred, as well as any sanctions. Read the Honor Code for detailed definitions of cheating, plagiarism, and other forms of academic misconduct.

Here's what you can expect if you are reported for an honor council violation:

If you have a pending honor council case at the end of the term, you receive an "I" (incomplete) grade until the case is resolved. We will send you a grade projection via email to help with planning. Your grade is updated once the case is resolved. The "I" should not remain on your transcript.

Accommodations for Students with Disabilities

If you think you need an accommodation for a disability, please let your instructor know during the first three weeks of the semester. Some aspects of this course may be modified to facilitate your participation and progress. As soon as you make us aware of your needs, we can work with the Services for Students with Disabilities (SSD) office to help us determine appropriate academic accommodations. SSD (734-763-3000; http://ssd.umich.edu) typically recommends accommodations through a Verified Individualized Services and Accommodations (VISA) form. Any information you provide is private and confidential and will be treated as such.

Recordings

Course lectures may be audio/video recorded and made available to other students in this course. As part of your participation in this course, you may be recorded. If you do not wish to be recorded, please contact your instructor the first week of class to discuss alternative arrangements.

Students may not record or distribute any class activity without written permission from the instructor, except as necessary as part of approved accommodations for students with disabilities. Any approved recordings may only be used for the student's own private use.

Research Disclosure

Your class work might be used for research purposes. No identifying information about you or your work will be published. For example, we may use anonymized student assignments to design algorithms or build tools to help programmers. Or we might survey responses to help us improve the course and better understand instructional techniques. Any student who wishes to opt out can contact the course staff (eecs280staff@umich.edu) at any time up to seven days after final grades have been issued. This has no impact on your grade in any manner.