Information and Departmental Plan of Study
With computation and computer science now permeating all corners of society and the economy, a computer science education has become a good launching pad for almost any career. Core concepts and skills emphasized in the computer science curriculum include theoretical and quantitative analysis of computation; design/engineering principles of advanced computer systems; and foundations and methods of AI and machine learning. The curriculum provides additional flexibility to explore subdisciplines of computer science (programming languages, formal methods, software engineering, computer graphics, information security), or to branch out into exciting cross-disciplinary investigations (neuroscience and cognitive science, computational biology, information policy, robotics, data science, etc.). Most computer science majors enjoy programming. Quite a few start with zero or minimal background and are able to enhance their skills while progressing through the curriculum.
The plan below applies to the Class of 2025 and beyond; the requirements for the Class of 2024 and earlier are available from the Computer Science Department website(link is external) and archived version of the Undergraduate Announcement.
Information for First-Year Students. Students with a general interest in the sciences or engineering are encouraged to take COS 126(link is external) in the first year or in the first semester of the second year. This provides useful background for applications work in any science or engineering major and preserves the option of later electing a computer science major.
Prerequisites
The prerequisites(link is external) are MAT 103, 104, any one of MAT 202 or 204 or 217 or EGR 154; COS 126; COS 217 and 226. Students should plan to take both COS 217 and COS 226 before their junior year since at least one of them is a prerequisite for all computer science departmentals.
Departmental Requirements
Course Requirements: Majors must take at least eight departmental courses on a graded basis. These fall into three categories: foundations, core courses, and electives.
Foundations
Students must take COS 240 (Reasoning and Computation), to be completed before the end of junior year.
Core Courses
Students must take a total of four courses, one from each of the four categories listed below:
1. Computer Systems: COS 316 (Principles of Computer System Design) or COS 375 (Computer Architecture and Organization)
Alternatives: COS 318 (Operating Systems) COS 418 (Distributed Systems) COS 461 (Computer Networks)
2. Artificial Intelligence and Machine Learning: COS 324 (Introduction to Machine Learning)
Alternatives: COS 424 (Fundamentals of Machine Learning), COS 429 (Computer Vision), COS 484 (Natural Language Processing)
3. Theoretical Computer Science: COS 423 (Theory of Algorithms), COS 433 (Cryptography), COS 445 (Networks, Economics, and Computing), COS 487 (Theory of Computation)
4. Breadth: This category contains courses that either explore another subdiscipline beyond Systems/Theory/AIML or provide experience with real-world applications. Students must complete at least one.
- COS 326 (Functional Programming)
- COS 333 (Advanced Programming Techniques)
- COS 343 (Algorithms for Computational Biology)
- COS 426 (Computer Graphics)
- COS 432 (Information Security)
- COS 436 (Human-Computer Interface Technology)
- COS 448 (Innovating across Technology, Business, and Markets)
Electives
Students must take three COS courses numbered 300 or higher (including approved graduate courses numbered 500 or higher). Alternatively, up to two of the electives may be chosen from a list of approved courses from other departments (see the department website(link is external) for an up-to-date list).
Students should consult with a computer science academic adviser on their course selections once they decide to become computer science concentrators. Academic advisers(link is external) are listed on the Department of Computer Science webpage.