BIOS894 Special Topics Course on Advanced Computational Statistics in Signal and Network Analysis
Spring, 2021
Course Description: An overview of advanced computational statistics for signal and network analysis with a wide variety of social, genomic and neuroscientific applications. All course modules include a hands-on component. Students have the chance to apply the computational methods and skills learned throughout the course on data analytic assignments and a research project.
Course Objectives: Upon successful completion of this course, the student should be able to
Demonstrate an advanced understanding of computational statistics for signal and network analysis
Demonstrate the ability to apply the computational procedures taught throughout the course in data analytic assignments
Demonstrate the ability to implement variants of the computational procedures taught in the course on a research project
Target audience: Senior undergraduate and graduate students in Biostatistics, Statistics, Computer Science, Electrical Engineering, with an interest and research needs in learning advanced computational techniques in complex signal and network analysis
Prerequisites: Calculus II required, Calculus III desirable; Stat equivalent of STAT512/513 and BIOS701/757/711.