EECS 280 Lobster EECS 280Fall 2025 Looking for Winter 2025? Or Spring 2025? Programming and Introductory Data Structures

Computer science fundamentals, with programming in C++. Build a satistical analysis tool, an image processing program, a Euchre card game, a machine learning algorithm, and a text editor. Analyze and implement foundational data structures.

Welcome!

We're glad you're interested in EECS 280 and hope to see you next term!

Flexible Lecture Policy

You may attend or engage with any, regardless of your official section registration.
Participation in live or async lecture is optionally worth 3% of your overall grade. We'll compute it both ways and take the higher. You can max out this credit even if you miss a few lectures.

Section 001
Travis Doom
10:30am-12pm
1571 GGBL (North)
Travis Doom
Live, in-person lecture.
Section 002
James Juett
12pm-1:30pm
1571 GGBL (North)
James Juett
Live, in-person lecture.
Section 003
Travis Doom
1:30pm-3pm
Stamps Auditorium (North)
Travis Doom
Live, in-person lecture.
Section 004
Amir Kamil
2:30pm-4pm
AUD B AH (Central)
Amir Kamil
Live, in-person lecture.
Section 005
James Juett
Asynchronous Lectures
Available Online
James Juett
Self-paced, interactive online lectures.
Section 006
This is a virtual section. Students registered for section 006 may participate in any of our other lecture offerings.
Recordings of live lectures are posted online in case you miss one or want to review.
Our Course Notes serve as a textbook and companion to lecture.

Lab Attendance (Required)

Labs are in-person exercises completed in small groups. Course staff facilitate lab sessions and are available for questions. Lab attendance is required for credit.

Please try to register for a section you can attend. We'll circulate a survey near the start of the Fall term where you can report any unresolvable scheduling conflicts.

Prerequisites

ENGR 101 or ENGR 151 or EECS 180 or EECS 183 or ROB 102 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.

Schedule

We'll post a full course schedule closer to the start of the Fall term.