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|CS 210||Scientific Modeling||1||Computer Science is one of the most versatile tools for scientists. This course will use real science problems from physical and biological sciences to teach students how to build computational models to explain these problems. Focus is on the use of modeling as part of the scientific process to lead to further discovery. A working knowledge of mathematics and science is expected. Offered alternate years.|
|CS 220||Fundamentals of Computer Science||1||An introduction to problem-solving, program design, testing methodology and structure of programming languages. Students will learn to program in a high-level programming language to solve problems from a wide range of computer science topics. This class makes use of laboratory experiences and is suitable for students with little to no previous experience in computer science. Satisfies the Abstraction and Formal Reasoning LADR.|
|CS 223||Data Structures||1||A study of the implementation and evaluation of advanced data structures. Data structures include linked lists, stacks, queues, trees, graphs and tables with the use of recursive algorithms to perform operations. Prerequisites: 220.|
|CS 225||Algorithmic Analysis||1||A systematic study of creating and evaluating algorithms, the process of solving problems. Brute force, divide-and-conquer, and problem transformation techniques are used to solve problems. Big Theta notation, best-average- worse case analysis, and notions of NP completeness are used to evaluate problems. Recommended by end of junior year. Prerequisites: 220 and one of Mat 243 or Mat 220.|
|CS 234||Computer Organization||1||Fundamentals of computer organization, virtual machines, gate logic, binary arithmetic, elementary architecture, microprocessors, memory organization, machine language, assemblers and I/O implementation. Prerequisite: 220.|
|CS 320||Topics in Software Development||1||Introduction to the various facets of software development such as modular programming, design patterns, source code version control, test-driven development and documentation. Prerequisite: CS 223. May be repeated for credit with permission of the instructor.|
|CS 324||GUI and Event-Driven Programming||1||Focuses on the development of graphical user interfaces (GUIs) and the programming paradigms entailed by such software. Students will build their skills in problem solving and software development by encountering problems relevant to GUIs. Event handling and GUI APIs are introduced. Offered alternate years. Prerequisite: 223|
|CS 326||Functional Programming||1||Introduction to the principles of functional programming, including higher-order functions, recursive definitions, list processing, and pattern matching. Offered alternate years. Prerequisite: CS 223.|
|CS 329||Database with Web Applications||1||Introduction to fundamental concepts of database management systems, including database design, data definition languages, data manipulation languages, and database system implementation. Particular emphasis will be placed on implementation of web-based applications that make use of databases. Offered alternate years. Prerequisite: 223.|
|CS 335||Theory of Computation||1||A mathematical investigation of the fundamental capabilities and limitations of computers. Finite automata, Turing machines, regular and context-free languages, computability and solvability, the halting problem, Church's thesis. Offered alternate years. Prerequisite: 225.|
|CS 340||Computer Networks||1||A study of modern communication systems, predominantly the Internet. Topics include: the client-server paradigm, use of existing protocols, creation of new protocols, P2P applications, routing algorithms, distributed sharing of resources and communicating in the face of unreliable networks. Offered alternate years. Prerequisite: 223|
|CS 345||Operating Systems||1||Theory of operating systems, including memory management, concurrent processes, scheduling algorithms, device drivers, and file systems. Offered alternate years. Prerequisite: 223 or 234 (preferably both).|
|CS 348||Artificial Intelligence||1||Knowledge representation, natural language processing, models of reasoning and learning, heuristic search methods, connectionism, and robotics. Offered alternate years. Prerequisite: 223 and 225.|
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