Here are some selected courses that I’ve taken and found to be useful and/or interesting.
Course Level: Graduate
Institution: University of California, San Diego
Course Description: []
Grade Received: WIP
My Thoughts: []
Course Level: Graduate
Institution: University of California, San Diego
Course Description: Case-based introduction to patient-focused reasoning. Covers principles of quantitative physiology, medical devices (diagnostic and therapeutic), and complexities of real-world care settings. Emphasis on cardiopulmonary diseases.
Grade Received: A
My Thoughts: []
Course Level: Graduate
Institution: University of California, San Diego
Course Description: This course provides “hands-on” VLSI design guideline of the machine learning (ML) accelerator architectures across top-to-down vertical layers including algorithm, architecture, and circuit design. The overview/theory of training and inference of deep neural network and other ML algorithms is provided. Students are supposed to train and validate their own network models for computer vision and natural language processing (NLP) applications via Python (PyTorch) programming. Then, the network model is mapped on the hardware by applying multiple low-power techniques including quantization, pruning, compression, and sparsity-aware circuit techniques. Students design their own architecture with Verilog programming and verify the functionality with their test benches from Python. Finally, the design is synthesized and evaluated with the Quartus Prime tool.
Grade Received: A-
My Thoughts: []
Course Level: Graduate
Institution: University of California, San Diego
Course Description: This course provides an introduction to bioinformatics techniques for analyzing and interpreting human genomes. Topics covered include an introduction to medical and population genetics, ancestry, finding and interpreting disease-causing variants, genome-wide association studies, genetic risk prediction, analyzing next-generation sequencing data, how to scale current genomics techniques to analyze hundreds of thousands of genomes, and the social impact of the personal genomics revolution.
Grade Received: A
My Thoughts: []
Course Level: Undergraduate (Upper-Division)
Institution: University of California, San Diego
Course Description: Second course in an introductory two-quarter sequence on analysis. Topics include the Riemann integral, sequences and series of functions, uniform convergence, Taylor series, introduction to analysis in several variables.
Grade Received: A
My Thoughts: []
Course Level: Undergraduate (Upper-Division)
Institution: University of California, San Diego
Course Description: First course in an introductory two-quarter sequence on analysis. Topics include the real number system, numerical sequences and series, infinite limits, limits of functions, continuity, differentiation.
Grade Received: A-
My Thoughts: []
Course Level: Undergraduate (Upper-Division)
Institution: University of California, Berkeley
Course Description: A comprehensive survey of the fundamentals of biological chemistry, including the properties of intermediary metabolites, the structure and function of biological macromolecules, the logic of metabolic pathways (both degradative and biosynthetic) and the molecular basis of genetics and gene expression.
Grade Received: A
My Thoughts: []