A series of mathematical topics chosen from a range of areas of pure and applied mathematics and mathematical statistics, including dynamics, chaos, computing algorithm design, mathematical modelling, number theory, logic, algebra, operation research and applied linear algebra. For example, applied linear algebra topics may include several important applications of eigenanalysis, including image compression, face recognition and understanding how Google's Page Rank search algorithm works. -- Course Website
Instructor: Professor Kate Smith-Miles
Prerequisites: Enrolment in the Bachelor of Science (Science Scholar Program) or Bachelor of Science Advanced with Honours with a HD in MTH1030 or D and above in MTH1035, or by invitation of the Head of School of Mathematical Sciences.
