Oregon State study guides, course by course
Oregon State runs on the quarter system — 10-week terms plus finals week — which makes every course roughly a third faster than its semester equivalent and falling behind roughly a third more expensive. Its Ecampus online CS postbaccalaureate program has one of the largest online followings of any degree (r/OSUOnlineCS, course Discords, alumni blogs), built mostly of working adults fitting a second bachelor's around full-time jobs, with proctored exams and the same course numbers as Corvallis.
Oregon State numbers courses with a department prefix plus three digits (CS 261, MTH 251) — 100/200-level lower division, 300/400-level upper division. A trailing Z (WR 121Z) marks Oregon's Common Course Numbering for transfer-aligned courses, and a few CS courses were renumbered recently: Operating Systems I moved from CS 344 to CS 374, so older forum posts and blogs may use the old number.
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CS 161 — Introduction to Computer Science I
CS 161 is Oregon State's first programming course — variables, control flow, functions, basic data structures, and program design — currently taught in Python after the curriculum moved away from C++. It opens both the Corvallis CS degree and the Ecampus postbacc, where for many students it's the first code they've ever written.
CS 162 — Introduction to Computer Science II
CS 162 continues the intro sequence — object-oriented programming, recursion, basic data structures, and significantly larger programs, taught in Python like CS 161. It carries a reputation as the Ecampus program's first real filter: the course where assignment scope jumps and time management becomes the curriculum.
CS 225 — Discrete Structures in Computer Science
CS 225 is the CS department's discrete math course — logic, proofs, sets, functions, combinatorics, and graphs — required in the Ecampus postbacc and a prerequisite mindset for CS 325. For career changers from non-quantitative fields, it's often the first proof-based math they've ever faced.
CS 261 — Data Structures
CS 261 covers the core data structures — dynamic arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs — with implementation assignments and complexity analysis throughout. In the Ecampus postbacc it's taught in Python (older blog posts reference the earlier C version), and it's the technical-interview foundation for the whole program.
CS 271 — Computer Architecture and Assembly Language
CS 271 introduces how computers actually work — number systems, digital logic basics, processor organization, and substantial programming in x86 assembly (MASM). For postbacc students coming from Python, it's the first unfiltered look beneath every abstraction they've been standing on.
CS 290 — Web Development
CS 290 covers full-stack web fundamentals — HTML, CSS, JavaScript, Node.js, and the request-response anatomy of how the web actually works. In the postbacc it's many students' first contact with JavaScript and with the special chaos of multi-technology projects.
CS 325 — Analysis of Algorithms
CS 325 is the program's algorithms course — asymptotic analysis, divide and conquer, dynamic programming, greedy algorithms, graph algorithms, and NP-completeness. It's the most theory-dense requirement in the postbacc and the course whose difficulty threads are a permanent fixture of r/OSUOnlineCS.
CS 340 — Introduction to Databases
CS 340 covers relational database design and implementation — ER modeling, schema design, normalization, relational algebra, and SQL — culminating in a term-long group project building a database-backed website. In the Ecampus postbacc, the group project is the course's defining experience, for better and worse.
CS 361 — Software Engineering I
CS 361 introduces software engineering practice — requirements, agile processes, design principles, version control workflows, and a term-long team project built in sprints. It's the course where the program stops grading programs and starts grading how software gets built by groups of humans.
CS 362 — Software Engineering II
CS 362 is the verification half of the software engineering sequence — unit testing, test-driven development, coverage, debugging strategy, and continuous integration. It's the course that converts testing from the thing skipped before deadlines into an engineering discipline.
CS 372 — Introduction to Computer Networks
CS 372 covers the networking stack top to bottom — application protocols like HTTP and DNS, TCP and UDP at the transport layer, IP routing, and the link layer — with socket programming projects that make the abstractions concrete. It's the course where the internet stops being magic.
CS 374 — Operating Systems I
CS 374 — the renumbered CS 344, so search both codes — covers operating system fundamentals through serious C programming: processes, signals, threads, synchronization, memory, and I/O on Unix. Its centerpiece is the legendary smallsh project, where students build a working shell from scratch.
CS 475 — Introduction to Parallel Programming
CS 475 covers parallel programming — multicore concepts, OpenMP, SIMD, GPU programming, and the measurement discipline of speedup and efficiency — through a steady drumbeat of hands-on projects. It's a popular postbacc elective with a structure students consistently praise: clear projects, weekly rhythm, real performance numbers.
CS 493 — Cloud Application Development
CS 493 is a capstone-flavored elective where students build and deploy a complete RESTful API on a cloud platform — resource design, authentication, datastore integration, and deployment — culminating in a substantial final project many postbacc students put straight into their portfolios.
Mathematics
MTH 231 — Elements of Discrete Mathematics
MTH 231 is the math department's discrete mathematics course — logic, set theory, induction, counting, relations, and graph theory — required for Corvallis CS majors and a common path for students who need the discrete foundation from the math side rather than CS 225.
MTH 251 — Differential Calculus
MTH 251 (listed as MTH 251Z under Oregon's Common Course Numbering) is Oregon State's first calculus course — limits, derivatives, and their applications — required across engineering, science, and the CS pathways. On the quarter system it covers the differential half of what semester schools stretch across a longer term.
MTH 252 — Integral Calculus
MTH 252 (MTH 252Z under Common Course Numbering) is the second quarter of Oregon State's calculus sequence — the definite integral, the Fundamental Theorem, integration techniques, and applications like area, volume, and work. It's the bridge between differentiation's rules and the technique-selection skills the later math chain assumes.
MTH 254 — Vector Calculus I
MTH 254 takes calculus into multiple dimensions — vectors, partial derivatives, gradients, multiple integrals, and optimization of multivariable functions. It's core for Oregon State engineering and a requirement or elective in several computational tracks, including the math machine learning students retrofit.
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