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CS 140 • CS 219 • CS 220 • CS 250 • CS 256 • CS 317 / Math 317 / Philosophy 317 • CS 318 / Math 318 • CS 321 •   CS 324 / Math 324 • CS 332 • CS 348 • CS 362 • CS 364 • CS 370 • CS 374 • CS 380 / Math 380CS 389/390 • CS 489 • CS 498 •

CS 140 Introduction to Computer Programming This course gives students an introduction to programming using a high-level language, with emphasis on problem-solving and algorithm development. Computer programming skills are enhanced through individual student projects.

CS 219 Techniques of Computer Science An in-depth look at computing and programming using high-level languages. Topics include advanced programming techniques and efficient algorithms for the solution of problems on a computer. Students complete a large programming project. Prerequisite: CS 140 or the equivalent.

CS 220 Computer Organization Topics include data representations, digital circuits, the organization of CPUs, machine language, and an introduction to assembly language programming. Prerequisite: CS 219. Offered spring semester only.

CS 250 Computer Science Seminar  This laboratory-based course covers topics important for a well-rounded computer science education. Topics vary from week to week and may include problem-solving in the context of programming competitions, advanced operating system topics in linux; practical applications of computer science such as Web,file and database server administration: advanced debugging and profiling techniques: practical cryptography; and computer science history. This course is worth 0.25 credits, meets once per week, and is graded pass/fail. Since topics vary from semester to semester, students may repeat the course for credit. Prerequisite: Computer Science 219.

CS 256 Data Structures Techniques and algorithms for the organization, representation and processing of data on the computer. Topics include strings, lists, stacks, queues, trees and graphs, as well as their applications. Prerequisite: CS 219. Offered in fall semester. 

CS 317 / Math 317 Mathematical Logic An introduction to modern mathematical logic, including the most important results in the subject. Topics include propositional and predicate logic; models, formal deductions and the Gödel Completeness Theorem; applications to algebra, analysis and number theory; decidability and the Gödel Incompleteness Theorem. Treatment of the subject matter is rigorous, but historical and philosophical aspects are discussed. Prerequisite: Math 280. Also offered as Math 317 and Philosophy 317.

CS 318 / Math 318 Graph Theory Graph theory deals with the study of a finite set of points connected by lines. Problems in such diverse areas as transportation networks, organizational structure, chemical bonds, allocation and distribution of good and services, genealogical family trees, group structure in psychology and sociology, tournaments and electrical circuit analysis can be formulated and solved by the use of graph theory. The course includes theory algorithms, applications and history. Prerequisite: Math 217 or 280.  Also offered as Math 318.

CS 321 Computer Networking This course presents an overview of computer networking while focusing on the technological issues which have made the internet successful. Topics include protocols associated at the application level (HTTP, DNS, FTP, BitTorrent, etc.) transport level (TCP/UDP) network level (IP/ATM), and issues related to network security. Students will gain experience with common networking tools, writing programs that operate on the transport layer, and the Linux operating system. Prerequisite: Computer Science 256.

CS 324 / Math 324 Numerical Analysis Topics covered include finite differences, interpolation, numerical integration and differentiation, numerical solution of differential equations and related subjects. Prerequisites: Math 217. Also offered as Math 324.

CS 332 Web Programming The course introduces terminology of the Web and the Hypertext Markup Language (HTML) as well as concepts of distributed computing, including client-side and server-side programming. Prerequisite: Computer Science 219 or permission of the instructor.

CS 348 SPTP - Database Systems This course will cover the logical and physical structure of databases including a thorough development of the relational model and SQL (Structured Query Language). Topics include relational algebra, database design, object oriented databases, XML, concurrency control, and security. Course assignments and projects will use a real database management system such as mySQL.

CS 362 Algorithm Analysis Students learn techniques and methods for designing, analyzing and testing the efficiency and performance of computer algorithms. The course also includes an introduction to the theory of polynomial reducibility. Prerequisite: CS 256 and Math 280.

CS 364 Programming Languages This course consists of two parts: a comparison of various computer languages and their uses, and a study of the concepts and organization of computer languages. Prerequisite: CS 220 or 256.

CS 370 Operating Systems An introduction to computer system design and use. Topics may include assemblers, interpreters, compilers, loaders, macro-processors and operating systems. Prerequisite: CS 220.

CS 374 Artificial Intelligence This course introduces the concepts and uses of artificial intelligence. Possible topics include search strategies, natural language processing, expert systems, neural nets, and robotics. Prerequisite: CS 256.

CS 380 / Math 380 Theory of Computation This course fosters a depth of understanding of the basic theoretical underpinnings of computer organization and programming. Students will learn the Chomsky hierarchy of languages and how to design various classes of automata to recognize computer languages. Application of mathematical proof techniques to the study of automata and grammars enhances students' understanding of both proof and language. Prerequisite: CS 256 and Math 280. Also offered as Math 380.

CS 389/390 Independent Projects in Computer Science Permission required.

CS 489 SYE: Senior Project for Majors Permission required

CS 498 SYE: Senior Honors Project for Majors Permission required.