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Results: 21 - 30 of 39 results for: BIOMEDIN
BIOMEDIN 245 Statistical and Machine Learning Methods for Genomics (BIO 268, CS 373, GENE 245, STATS 345)
Introduction to statistical and computational methods for genomics. Sample topics include: expectation maximization, hidden Markov model, Markov chain Monte Carlo, ensemble learning, probabilistic graphical models, kernel methods and other modern machine learning paradigms. Rationales and techniques illustrated with existing implementations used in population genetics, disease association, and fun.... More Description for BIOMEDIN 245
BIOMEDIN 251 Outcomes Analysis (HRP 252, MED 252)
Methods of conducting empirical studies which use large existing medical, survey, and other databases to ask both clinical and policy questions. Econometric and statistical models used to conduct medical outcomes research. How research is conducted on medical and health economics questions when a randomized trial is impossible. Problem sets emphasize hands-on data analysis and application of metho.... More Description for BIOMEDIN 251
Terms: 2017-2018 Spring | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 254 Quality & Safety in U.S. Healthcare (HRP 254, SURG 255)
The course will provide an in-depth examination of the quality & patient safety movement in the US healthcare system, the array of quality measurement techniques and issues, and perspectives of quality and safety improvement efforts under the current policy landscape.
Terms: 2017-2018 Autumn | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 256 Economics of Health and Medical Care (BIOMEDIN 156, ECON 126, HRP 256)
Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; measurement and valuation of health; competition in health care delivery. Graduate students with research interests should tak.... More Description for BIOMEDIN 256
Terms: 2017-2018 Spring | Units: 5 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Bhattacharya, J. (PI)
BIOMEDIN 260 Computational Methods for Biomedical Image Analysis and Interpretation (RAD 260)
The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Topics include major image databases, fundamental methods in image processing and quantitative ex.... More Description for BIOMEDIN 260
Terms: 2017-2018 Spring | Units: 3-4 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 273A The Human Genome Source Code (CS 273A, DBIO 273A)
A computational introduction to the most amazing programming language on the planet: your genome. Topics include genome sequencing (assembling source code from code fragments); the human genome functional landscape: variable assignments (genes), control-flow logic (gene regulation) and run-time stack (epigenomics); human disease and personalized genomics (as a hunt for bugs in the human code); gen.... More Description for BIOMEDIN 273A
Terms: 2017-2018 Winter | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Bejerano, G. (PI)
BIOMEDIN 273B Deep Learning in Genomics and Biomedicine (BIODS 237, CS 273B, GENE 236)
Recent breakthroughs in high-throughput genomic and biomedical data are transforming biological sciences into "big data" disciplines. In parallel, progress in deep neural networks are revolutionizing fields such as image recognition, natural language processing and, more broadly, AI. This course explores the exciting intersection between these two advances. The course will start with an .... More Description for BIOMEDIN 273B
Terms: 2017-2018 Autumn | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 279 Computational Biology: Structure and Organization of Biomolecules and Cells (BIOE 279, BIOPHYS 279, CME 279, CS 279)
Computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules and cells. These computational methods play an increasingly important role in drug discovery, medicine, bioengineering, and molecular biology. Course topics include protein structure prediction, protein design, drug screening, molecular simulation, cellular-level simulation, imag.... More Description for BIOMEDIN 279
Terms: 2017-2018 Autumn | Units: 3 | Grading: Letter or Credit/No Credit
BIOMEDIN 290 Biomedical Informatics Teaching Methods
Hands-on training in biomedical informatics pedagogy. Practical experience in pedagogical approaches, variously including didactic, inquiry, project, team, case, field, and/or problem-based approaches. Students create course content, including lectures, exercises, and assessments, and evaluate learning activities and outcomes. Prerequisite: instructor consent.
Terms: 2017-2018 Autumn 2017-2018 Winter 2017-2018 Spring 2017-2018 Summer | Units: 1-6 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Wall, D. (PI), Chang, H. ....More Instructors for BIOMEDIN 290
BIOMEDIN 299 Directed Reading and Research
For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor. (Staff)
Terms: 2017-2018 Autumn 2017-2018 Summer 2017-2018 Spring 2017-2018 Winter | Units: 1-18 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Musen, M. (PI), Plevritis....More Instructors for BIOMEDIN 299
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