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  • 0.00 Credits

    Turbak A systems-oriented approach to data networks, including a theoretical discussion of common networking problems and an examination of modern networks and protocols. Topics include point-to-point links, packet switching, internet protocols, end-to-end protocols, congestion control, and security. Projects may include client-server applications and network measurement tools. Alternate year course. Prerequisite: 230 or permission of the instructor. Distribution: Mathematical Modeling Semester: Fall. Unit: 1.0
  • 3.00 Credits

    NOT OFFERED IN 2009-10. Prerequisite: 110 or 111. Distribution: Mathematical Modeling Semester: N/O Unit: 1.0
  • 3.00 Credits

    Prerequisite: 230 or permission of the instructor. Distribution: None Semester: Fall, Spring Unit: 1.0
  • 3.00 Credits

    Prerequisite: 230 or permission of the instructor. Distribution: None Semester: Fall, Spring Unit: 0.5
  • 3.00 Credits

    Shull An introduction to the dimensions of modern programming languages. Covers major programming paradigms: function-oriented, impera-tive, object-oriented, and logic-oriented. Dimensions include syntax, naming, state, data, control, concurrency, nondeterminism, and types. These dimensions are explored via mini-language interpreters written in OCaml, Scheme, and Haskell that students experiment with and extend. Prerequisite: 230 and either 235 or permission of the instructor. Distribution: Mathematical Modeling Semester: Spring Unit: 1.0
  • 3.00 Credits

    Tjaden NOT OFFERED IN 2009-10. A multidisciplinary course exploring the origins, present and future applications, and challenges of the inter-section of biological and computer sciences. The field of bioinformatics, generated in response to the era of genomics, encompasses all aspects of biological data acquisition, storage, processing, analysis and interpretation with a view to generating in silico models of cellular function. Students may register for either CS 303 or BISC 303 and credit will be granted accordingly. Prerequisites: 231, BISC 219 or BISC 220. Not open to students who have taken CS 313. Distribution: Natural and Physical Science Semester: N/O Unit: 1.0
  • 3.00 Credits

    Anderson A study of the three-layer architecture commonly used for Web-based applications such as e-commerce sites. We will learn to model and design databases uses entity-relationship diagrams, and the Standard Query Language (SQL) for managing databases. We will learn PHP, CGI/Perl, and Java Servlets, which are three important technologies for Web-based architectures. We will also discuss performance, reliability and security issues. Finally, we will create dynamic Web sites driven by database entries. Prerequisite: 230 Distribution: Mathematical Modeling Semester: Spring Unit: 1.0
  • 3.00 Credits

    Anderson A survey of topics in computer graphics with an emphasis on fundamental techniques. Topics include: graphics hardware, fundamentals of three-dimensional graphics including modeling, projection, coordinate transformation, synthetic camera specification, color, lighting, shad-ing, hidden surface removal, animation, and texture-mapping. We also cover the mathematical representation and programming specifica-tion of lines, planes, curves, and surfaces. Prerequisite: 230 Distribution: Mathematical Modeling Semester: Fall Unit: 1.0
  • 3.00 Credits

    Shull NOT OFFERED IN 2009-10. OFFERED IN 2010-11. When is a cryptographic system secure and how will we ever know This course introduces the computational models and theory computer scientists use to address these issues. Topics include one-way functions, trap-door functions, probabilistic complexity classes, pseudorandom generators, interactive proof systems, zero-knowledge proofs, and the application of these theories to modern cryptology. Prerequisite: 231 or 235 or permission of the instructor. Distribution: Mathematical Modeling Semester: N/O. Offered in 2010-11. Unit: 1.0
  • 3.00 Credits

    Tjaden Many elegant computational problems arise naturally in the modern study of molecular biology. This course is an introduction to the de-sign, implementation, and analysis of algorithms with applications in genomics. Topics include bioinformatic algorithms for dynamic pro-gramming, tree-building, clustering, hidden Markov models, expectation maximization, Gibbs sampling, and stochastic context-free gram-mars. Topics will be studied in the context of analyzing DNA sequences and other sources of biological data. Applications include se-quence alignment, gene-finding, structure prediction, motif and pattern searches, and phylogenetic inference. Course projects will involve significant computer programming in Java. No biology background is expected. Not open to students who have taken 303. Alternate year course. Prerequisite: 230 Distribution: Mathematical Modeling Semester: Spring Unit: 1.0
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