Course Schedule and Catalog
Course Schedule - Fall Semester 2026
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.
ECON 631 902 (CRN: 16214)
MATH FOR COMPUTATIONAL ECON
Long Title: MATHEMATICAL FOUNDATIONS FOR COMPUTATIONAL ECONOMICS
Department: Economics
Instructor: Coleman, Chase
Meeting: (24-AUG-2026 - 4-DEC-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Online
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 20
Section Enrolled: 0
Enrollment data as of: 27-APR-2026 12:11AM
Final Exam: GR Course-Dept Schedules Exam
Description: This course introduces core concepts underlying computational social science, including, optimization, probability, and statistical modeling. We learn how to apply these concepts to a variety of economics and social science questions. Recommended Prerequisite(s): Students should have taken at least a course in calculus and a course in linear algebra. Prior courses in probability and statistics will also be helpful. Highly motivated graduate students lacking some prerequisites can still succeed in this course but will have to put in more time and effort. Such students should meet with us well in advance of the course so that we can recommend readings that will help close the gaps in their preparations. Also, a willingness to consult Wikapedia for math and statistics concepts will help all students. Mutually Exclusive: Cannot register for ECON 631 if student has credit for ECON 308.