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| STAT 46700 - Topics In Data Science |
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Credit Hours: 3.00. Varies from year to year but possible topics include Monte Carlo methods, Bayesian statistics, statistical analysis of network data, Bayesian networks, classification and regression trees (CART), random forests, neural networks, machine learning, resampling methods. Extensive use of a statistical computer package will be required.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville Northwest- Hammond Learning Outcomes: 1. Choose appropriate method pertaining to a given dataset. 2. Demonstrate flexible problem solving skills. 3. Synthesize theory, methods, computations and applications. 4. Use statistical software for data analysis and clearly communicate the results. |
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