Computer Science

131L. Introduction to Unix® and the World Wide Web. (2)


132L. Introduction to Unix® and the World Wide Web. (1)


150L. Computing for Business Students. (3)


151L. Computer Programming Fundamentals for Non-Majors. (3)


152L. Computer Programming Fundamentals. (3)


184. Unix® Administration and Tools. (3)


241L. Data Organization. (3)


251L. Intermediate Programming. (3)


259L. Data Structures with JAVA. (5)


261. Mathematical Foundations of Computer Science. (3)


293. Social and Ethical Issues in Computing. (1)


341L. Introduction to Computer Architecture and Organization. (3)


351L. Design of Large Programs. (4)


357L. Declarative Programming. (3)


361L. Data Structures and Algorithms. (3)


362. Data Structures and Algorithms II. (3)


365. Introduction to Scientific Modeling. (3)


*375. Introduction to Numerical Computing. (3)


390. Topics in Computer Science for Non-Majors–Undergraduate. (1-3, no limit Δ)


394. Computer Generated Imagery and Animation. (3)


401. Theoretical Foundations of Computer Science. (3)


412. Introduction to Computer Graphics: Scanline Algorithms. (3)


413. Introduction to Ray and Vector Graphics. (3)


422 / 522. Digital Image Processing. (3)


**423. Introduction to Complex Adaptive Systems. (3)


427 / 527. Principles of Artificially Intelligent Machines. (3)


429 / 529. Introduction to Machine Learning. (3)


*438. The Science of Intelligent Systems. (3)


*441. Modern Computer Architecture. (3)


*442. Introduction to Parallel Processing. (3)


*452. Simulation. (3)


454 / 554. Compiler Construction. (3)


**460. Software Engineering. (3)


464 / 564. Introduction to Database Management. (3)


*471. Introduction to Scientific Computing. (3)


473 / 573. Physics and Computation. (3)


**481. Computer Operating Systems. (3)


**485. Introduction to Computer Networks. (3)


491. Special Topics–Undergraduates. (1-6 to a maximum of 12 Δ)


**492. Introduction to Computers in Manufacturing. (3)


**494. Advanced Topics in Computer Generated Imaging. (3)


499. Individual Study–Undergraduate. (1-3 to a maximum of 6 Δ)


500. Introduction to the Theory of Computation. (3)


504. Algorithm Heuristics. (3)


506. Computational Geometry. (3)


509. Parallel Algorithms. (3)


510. Randomized Algorithms. (3)


511. Algorithms in the Real World. (3)


512. Advanced Image Synthesis. (3)


513. Real-Time Rendering and Graphics Hardware. (3)


515. Scientific and Information Visualization. (3)


520. Topics in Interdisciplinary Biological and Biomedical Sciences. (3, unlimited Δ)


522 / 422. Digital Image Processing. (3)


523. Complex Adaptive Systems. (3)


524. Collaborative Interdiciplinary Teaching. (3)


527 / 427. Principles of Artificially Intelligent Machines. (3)


528. Advanced Topics in Artificial Intelligence. (3)


529 / 429. Introduction to Machine Learning. (3)


530. Geometric and Probabilistic Methods in Computer Science. (3)


531. Pattern Recognition. (3)


532. Computer Vision. (3)


534. Advanced Computer Graphics. (3)


537. Automated Reasoning. (3)


547. Neural Networks. (3)


550. Programming Languages and Systems. (3)


551. Individual Study–Graduate. (1-3 to a maximum of 6 Δ)


554 / 454. Compiler Construction. (3)


555. Advanced Topics in Compiler Construction. (3)


557. Selected Topics in Numerical Analysis. (3)


558. Software Foundations. (3)


561. Algorithms/Data Structure. (3)


564 / 464. Introduction to Database Management. (3)


565. Topics in Database Management. (3)


569. Computational Medicine. (3)


571. Quantum Computation. (3)


573 / 473. Physics and Computation. (3)


575. Introductory Numerical Analysis: Numerical Linear Algebra. (3)


576. Introductory Numerical Analysis: Approximation and Differential Equations. (3)


580. The Specification of Software Systems. (3)


581. Fundamentals of Software Testing. (3)


583. Object-Oriented Testing. (3)


585. Computer Networks. (3)


587. Advanced Operating Systems. (3)


**590. Topics in Computer Science for Non-Majors–Graduate. (1-3, no limit Δ)


591. Special Topics–Graduate. (1-6, no limit Δ)


592. Colloquium. (1 to a maximum of 4 Δ)


599. Master’s Thesis. (1-6, no limit Δ)


609. Advanced Parallel Algorithms. (3)


650. Reading and Research. (3 to a maximum of 6 Δ)


691. Seminar in Computer Science. (1-6 to a maximum of 12 Δ)


699. Dissertation. (3-12, no limit Δ)


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