computer_science

Honors Work in Computer Science The faculty of V.U.'s Department of Mathematics and Computer Science encourage students to undertake Honors Work in computer science. Completion of an Honors Work project can serve as excellent preparation for graduate school, work in the private sector, or employment with a government agency, all of which require individuals with strong analytical and communication skills, problem-solving abilities, and research acumen. Every student interested in pursuing Honors Work should careuly read the section of the General Catalog covering Departmental Honors Work. This information sheet outlines what Honors Work in computer science should entail and how it might be conducted. What is Honors Work? For the purpose of an honors p 'ect in computer science, "honors work" roi is defined as a major independent project consisting of either 1) original basic research on some computer science question or 2) a solution to a significant applied problem. Literature reviews and other descriptive studies, no matter how exhaustive, do not constitute Honors Work and are better suited to Independent Study. Conducting an Honors Project. Honors Work constitutes a significant investment of time and effort, both on the part of the student and the faculty advisor. The process spans an entire year from topic proposal and acceptance to p 'ect completion. Some of the major steps involve roi 1) selecting an area of computer science in which you are interested in pursuing Honors Work (e.g. artificial intelligence, numerical methods, simulation), 2) finding a faculty member who is willing to serve as advisor, 3) identifying an appropriate problem and writing an Honors Work Proposal, 4) revi ' the existing literature pertinent to the problem, 5) designing and executing a Specifically, yourthe problem, and include theup your results. ewnig solution to fiml paper must 6) writing following components: 1) a statement of the problem to be solved and its context, 2) a review of the results of others on related problems, 3) a description and rationale of methods used, 4) an analysis of your work, 5) a conclusion, 6) a bibliography, and 7) an appendix including source code. For more information, contact the department chairperson or your academic advisor