faculty
Shuwen Wang
Assistant Teaching Professor
Computer & Information Science
Teaching
Courses
Principles, methodologies, and techniques in designing software architecture. The course introduces the fundamental elements of software systems in the context of the design process. Architectural patterns, design patterns, and software frameworks are covered in depth. How to document design work to an acceptable standard is also covered.
Coverage of advanced topics of data mining and its applications. The course will review related mathematics and then focus on data mining core algorithms and advanced modeling including regression, dimensionality reduction, support vector machines, clustering, graph theory, and frequent pattern mining. The course will also explore several real-world problems and discuss strategies for large-scale data. Requires pre-knowledge from an undergraduate course on algorithms and data structures.
A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.