BIOEN 6900-003: Data Science for Bioengineers
- For postdoctoral, graduate, and advanced undergraduate students in Engineering, Sciences, and Medicine, and professionals in industry.
- Fall 2018, Mondays and Wednesdays 11:50am–1:10pm, LCB 115.
Prerequisites: Some experience programming and instructor approval.
100% grade = 30% labs, 30% presentation, 30% class project, 10% class participation; class attendance is required.
We will cover concepts in data science and machine learning, and their applications to discovery of principles from biomedical data.
- Databases, from the Cancer Genome Atlas (TCGA) at the Genomic Data Commons (GDC) to the Utah Population Database (UPDB).
- Data types, from omics, imaging, and patient clinical information to biomedical samples and model organisms and systems.
- Algorithms, from the singular value decomposition (SVD) and principal component analysis (PCA) to multi-tensor decompositions and deep networks.
- Applications, from the Luria-Delbrück experiment to personalized cancer diagnostics, prognostics, and therapeutics.
- Proving mathematical theorems and programming symbolic computations.
- Designing algorithms and programming numerical computations.
- Working with databases and modeling biomedical data.
- In-class presentations of scientific journal articles and patents.
- Participation in guest lectures and seminars on campus and discussions of conference reports.
- End-of-class celebration.
- Fall 2018 Calendar.
- Health, Wellness, and Counseling.
- Student Code.
Mathematics of the SVD from Numerical Linear Algebra, Trefethen and Bau, III (1997).
August 27 and 29:
In-Class Work on Lab 1
European Association for Signal Processing (EURASIP) Summer School on Tensors in Medicine (Leuven, Belgium, August 27–31, 2018).
Mathematical Properties and Debugging of the SVD
September 24 and 26:
In-Class Work on Lab 2
National Cancer Institute (NCI) Joint Meeting of the Cancer Systems Biology Consortium and the Physical Sciences in Oncology Network (Bethesda, MD, September 25–28, 2018).
October 3, Wednesday, 11:50am–1:10pm, WEB 2230:
October 5, Friday, 2–3pm, WEB 3780:
Scientific Computing and Imaging (SCI) Institute Distinguished Seminar
Kirk E. Jordan