Course Schedule and Catalog
Course Schedule - Spring Semester 2022
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
INDE 517 001 (CRN: 25762)
MATH OPT FOUND OF DATA SCIENCE
Long Title: MATHEMATICAL OPTIMIZATION FOUNDATIONS OF DATA SCIENCE
Department: Industrial Engineering
Instructor: Hemmati, Soheil
Meeting: 4:00PM - 5:15PM TR (10-JAN-2022 - 22-APR-2022)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Must be enrolled in one of the following Degree(s):
Master of Computer Science
Master of Comp Sci & Eng
Master of Statistics
Master of Electrical Comp Eng
Master of Eng Mgmt & Leadershp
Master of Industrial Eng
Master of Mechanical Eng
Master of Comp & Appl Math
Master of Data Science
Section Max Enrollment: 30
Section Enrolled: 5
Enrollment data as of: 6-MAY-2024 4:35AM
Final Exam: GR Course-Dept Schedules Exam
Description: Optimization methods for machine learning. Topics included are as follows: basics of optimization theory, gradient-based optimization (e.g., gradient descent, stochastic gradient descents, AdaGrad, Adam, RMSProp, etc.), linear regression and its extensions (e.g., ridge regression and lasso), least-squares classification and logistic regression, Newton methods in machine learning, basics of constrained optimization, Lagrangian relaxation and duality, support vector machines, and optimization in neural networks.