Description
Advanced computational approaches for problems encountered in health data analysis. Techniques and algorithms for statistical and machine learning; computational pathology; spatial imaging; omics; prediction and prognostication.
Learning Hours
120 (36 Lecture, 84 Private Study)
Prerequisite
Level 4 or above and registration in a COMP Major or Specialization Plan.