Introduction to Computational Oncology

3 Hours

Computational techniques commonly used in modeling various aspects of cancer at multiple spatial and temporal scales. Exploration of how computational modeling offers unique and complementary information to traditional methods of cancer research. Emphasis on the integration of theory and experiment while identifying the current barriers preventing computational modeling from having a broader impact on both cancer biology and clinical oncology. Only one of the following may be counted: Biomedical Engineering 383J (Topic: Introduction to Computational Oncology), Biomedical Engineering 383J (Topic 3), Computational Science, Engineering, and Mathematics 397 (Topic: Introduction to Computational Oncology).