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Computational Optimization

Lectures

Tuesday and Thursday, 11am-12:30pm, DMP 110

Teaching staff and office hours

Textbook

Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB, Amir Beck (SIAM, 2014). This book is available online through the UBC Library.

Course requirements

One of CPSC 302, CPSC 303, or MATH 307.

Course discussion board

All course discussions and announcements will be handled via Piazza.

Grades

Distribution

  • assignments (approximately 5-6): 30%
  • midterm exam: 30%
  • final exam: 40%

Policies

  • No makeup exam for the midterm of final. If you missed the midterm exam you must document a justification.
  • Midterm exam grade will not be counted if it is lower than your final exam grade.
  • To pass the course you must do the assigned coursework, write the midterm and final exams, pass the final exam, and obtain an overall pass average according to the grading scheme.
  • The instructors reserve the right to modify the grading scheme at any time.