Course Schedule and Catalog
Course Schedule - Spring Semester 2020
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 KCK 100 (13-JAN-2020 - 24-APR-2020)
7:00PM - 7:59PM T DCH 1070 (13-JAN-2020 - 24-APR-2020)
Session: 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: 3-DEC-2023 5:35PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
3-MAY-2020
2:00PM - 5:00PM U TBA TBA
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.