UW-Madison CS 400: Programming III
CS 400 (officially COMP SCI 400) completes UW-Madison's programming sequence: data structures and their implementations (balanced search trees, hash tables, graphs) plus software development practices like version control, testing, and team projects, all in Java.
Fennie is independent and not affiliated with University of Wisconsin-Madison. This is an unofficial study guide.
What makes it hard
Two courses share the syllabus: a data structures course with red-black tree rotations and hash collision handling, and a software engineering course with team projects, Git workflows, and unfamiliar libraries thrown at you to learn independently. Exams test the structures in detail while project deadlines compete for the same weeks, and teammates of varying reliability are part of the curriculum.
What you'll cover
- • Balanced search trees (red-black trees)
- • Hash tables and collision handling
- • Graphs and shortest-path algorithms
- • Version control with Git
- • Testing and debugging practices
- • Team-based software projects
The CS 400 study guide
How to study for UW-Madison CS 400, step by step.
- 1
Implement each structure before the lecture moves on
Red-black trees and hash tables only stick when you've coded the operations yourself. Build each structure the week it's taught, because exam questions probe operation-level details that watching slides can't supply.
- 2
Practice tree operations on paper
Insertions, rotations, and rebalancing by hand, repeatedly: these are exam staples. Draw the tree at every step until the rebalancing cases are pattern recognition, not puzzle solving.
- 3
Learn Git properly in week one
The team projects assume functional version-control habits, and fumbling Git mid-project costs your whole team. An hour of deliberate practice early (branches, merges, conflicts) pays off all semester.
- 4
Start project milestones the day they're assigned
Projects involve unfamiliar libraries you're expected to learn independently, and that learning takes calendar time. Early starts also surface teammate problems while they're still fixable.
Today
Today's CS 400 plan
What a Fennie Daily Plan looks like for CS 400. Yours is built from your own syllabus and adapts every day to your deadlines and progress.
First plan free, no card required. Fennie is independent and unaffiliated with your school.
FAQ
Is CS 400 at UW-Madison hard?
It's a workload course as much as a difficulty course: real data structures content (red-black trees are the famous unit) plus team projects with independent learning expected. Students who implement structures weekly and start project milestones early find it very manageable.
What does CS 400 cover that CS 300 doesn't?
Serious data structures (balanced trees, hash tables, graphs) plus professional practices: Git, testing, and team development. It's the bridge from 'can program' to 'can build software with other people,' and upper-level CS assumes both halves.
How do I prepare for CS 400?
Enter with CS 300's object model and recursion genuinely solid, since tree operations are recursive object manipulation. Learning Git basics before the semester starts removes the most common early-project friction.
More UW-Madison courses
CS 200: Programming I
CS 200 (officially COMP SCI 200) is UW-Madison's first programming course, taught in Java. It covers variables, control flow, methods, arrays, and an introduction to objects, serving intended CS majors, data science students, and a large population just adding programming skills. It assumes no prior experience.
CS 300: Programming II
CS 300 (officially COMP SCI 300) is UW-Madison's object-oriented programming course in Java, covering classes, inheritance, interfaces, exceptions, recursion, and intro data structures like array lists and linked lists. It's one of the largest courses on campus, since it gates the CS major and serves data science, engineering, and statistics students besides.
CS 240: Introduction to Discrete Mathematics
CS 240 (officially COMP SCI 240) is UW-Madison's discrete math course for the CS major: logic, proofs, induction, sets, functions, counting, recurrences, and graphs. It's the mathematical foundation that CS 577 and the theory electives build on.
CS 252: Introduction to Computer Engineering
CS 252 (cross-listed COMP SCI/E C E 252) introduces how computers work from the bottom up: transistors and gates, combinational and sequential logic, basic computer organization, and machine and assembly programming on the LC-3. It's the first systems course in the CS and computer engineering tracks.