BIO 362
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Computational Cancer Biology
Biology
College of Life Sciences
Course Description
Examine the altered cellular phenotypes of cancer through a computational exploration of molecular and clinical data, comparing and contrasting different cancer types.
When Taught
Fall.
Min
3
Fixed
3
Fixed
3
Fixed
0
Note
If students have taken other course(s) that involved computer programming and statistics but have not completed BIO 264, they should contact the instructor to evaluate whether they are prepared to take the course.
Title
Evaluate phenotypic impact
Learning Outcome
Students will be able to evaluate phenotypic impact of genetic mutations in cancer.
Title
Compare and contrast multi-omics data
Learning Outcome
Students will be able to compare and contrast the value and appropriate uses for multi-omics data.
Title
Self-directed learning
Learning Outcome
Students will be able to discuss, analyze and evaluate original scientific research on cancer. From these resources they will be able to generate their own hypotheses and questions, gather data, and evaluate their hypotheses.
Title
FAIR research practices
Learning Outcome
Students will be able to plan and conduct reproducible and transparent research.
