Course Schedule and Catalog
Course Schedule - Spring Semester 2020
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.
DSCI 301 001 (CRN: 23325)
STATISTICS FOR DATA SCIENCE
Long Title: PROBABILITY AND STATISTICS FOR DATA SCIENCE
Department: Data Science
Instructor: Guerra, Rudy
Meetings:
1:00PM - 2:15PM TR (13-JAN-2020 - 24-APR-2020)
7:00PM - 7:59PM T (13-JAN-2020 - 24-APR-2020)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: MATH 102 OR MATH 106 OR MATH 112
Section Max Enrollment: 49
Section Enrolled: 4
Total Cross-list Max Enrollment: 196
Total Cross-list Enrolled: 75
Enrollment data as of: 7-OCT-2024 5:58AM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
3-MAY-2020
2:00PM - 5:00PM U
Description: An introduction to mathematical statistics and computation for applications to data science. Topics include probability, random variables expectation, sampling distributions, estimation, confidence intervals, hypothesis testing and regression. A weekly lab will cover the statistical package, R, and data projects. Cross-list: STAT 315, STAT 315, STAT 315, DSCI 301, DSCI 301, STAT 315, DSCI 301. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for DSCI 301 if student has credit for ECON 307/STAT 310.