Course Criteria

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  • 3.00 Credits

    This course will introduce both the principles and practice of Bayesian and maximum entropy methods for data analysis, signal processing, and machine learning. This is a hands-on course that will introduce the use of the MATLAB computing language for software development. Students will learn to write their own Bayesian computer programs to solve problems relevant to physics, chemistry, biology, earth science, and signal processing, as well as hypothesis testing and error analysis. Optimization techniques to be covered include gradient ascent, fixed-point methods, and Markov chain Monte Carlo sampling techniques.? Only one of I Inf 451, I Csi 451, or A Phy 451 may be taken for credit. Prerequisite(s): A Mat 214 (or equivalent) and I Csi 101 or I Csi 201.
  • 3.00 Credits

    Each student is required to carry out independent study under the supervision of a faculty member and present a departmental colloquium on the chosen topic. Students may also be required to complete a theoretical or an experimental project, write reports or make short presentations. I Csi 487Z is the writing intensive version of I Csi 487; only one?may be taken for credit. Prerequisite(s): admission to the honors program.
  • 3.00 - 12.00 Credits

    Students are required to pursue research supervised by a faculty member and submit final reports describing their research. Outcomes of this research may include software/hardware artifacts, data collected through experiments, bibliographies or research papers. Each student is evaluated by a faculty committee during the second semester of their senior year. Honors students must complete at least 6 credits of this course. Prerequisite(s): admission to the honors program.
  • 1.00 - 6.00 Credits

    Research or development experience with University units or external agencies or companies requiring significant solutions of problems in areas such as software design, development, programming of tests or extensions, etc. in a practical environment. The relevance to computer science and the technical level of the proposed internship, and the intern's qualifications must be approved by the department. A written report must be accepted by the department before the end of the internship semester. May be repeated for credit. Prerequisite(s): I Csi 310 and permission of the department. S/U graded.
  • 1.00 - 3.00 Credits

    Participants extend and apply their understanding of computer science by tutoring or assisting in laboratory, tutoring or discussion activities, under faculty supervision, for one or more associated courses. One credit for each weekly contact hour or each?2 to 4 hours of scheduled tutoring, staff meetings, lecture attendance or grading. May be repeated for credit. Total credits of I Csi 198, 199, 496, 497 prior to 2008, and their general education versions may not exceed 9. Prerequisite(s): permission of the instructor. S/U graded.
  • 1.00 - 3.00 Credits

    Oral discourse version of I Csi 496. In addition to the I Csi 496 requirements, at least two different lab or discussion exercises will be prepared and conducted, and will be evaluated by the faculty supervisor and section students. May be repeated for credit. Total credits of I Csi 198, 199, 496, 497 prior to 2008, and their general education versions may not exceed 9. Prerequisite(s): permission of the instructor. S/U graded.
  • 1.00 - 3.00 Credits

    Independent study of advanced topics under the guidance of a computer science faculty member which are not covered in regularly scheduled courses. Three to four hours per week per semester credit should be spent on readings, technology research, problem solving, experimentation with student created and existing software, faculty discussion, etc., culminating in an acceptable and significant written report or paper.?May be repeated for credit.?Prerequisites: junior or senior status or equivalent experience, at least I Csi 310, and the permission of instructor with whom the student wishes to study.
  • 3.00 Credits

    Introduction to software engineering. Students will participate in the design and production of a large, modular program typical of those encountered in business and industry. Prerequisite(s): I Csi 333 or 311, and permission of instructor.
  • 3.00 Credits

    Introduction to the Internet and World Wide Web. Information literacy in technology and online information resources. Using, finding, evaluating, and producing information on the Internet. Only one of I Inf 100X and I Ist 100X may be taken for credit.
  • 3.00 Credits

    This course examines information technology from a social and community informatics perspective. Through appropriate readings in the field of information science, as well as in-class discussions, a field study observation, and community service project, students explore emerging technologies that have implications on individual identity, society, and policy development. I Ist 250U is the Information Literacy and Oral Discourse version of I Ist 250. Only one may be taken for credit.
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