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.

INDE 577 001 (CRN: 25615)

DATA SCI & MACHINE LEARNING

Long Title: DATA SCIENCE AND MACHINE LEARNING
Department: Industrial Engineering
Instructor: Davila, Randy
Meeting: 1:00PM - 3:30PM F (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
Section Max Enrollment: 0 (permission required)
Section Enrolled: 28
Enrollment data as of: 6-MAY-2024 3:35AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Fundamentals of data science and machine learning. Topics include: introduction to scikit-learn, Keras and tensorflow2, linear and logistic regression, clustering, support vector machines, random forest trees, neural networks, deep learning, natural language processing. Recommended Prerequisite(s): Three semesters of calculus recommended. A background in some programming language would be extremely useful.