Course Schedule - Spring Semester 2022

     

DSCI 301 004 (CRN: 24259)

STATISTICS FOR DATA SCIENCE

Long Title: PROBABILITY AND STATISTICS FOR DATA SCIENCE
Department: Data Science
Instructor: Guerra, Rudy
Meetings:
2:30PM - 3:45PM TR HRG 100 (10-JAN-2022 - 22-APR-2022) 
7:00PM - 9:00PM R DCH 1075 (10-JAN-2022 - 22-APR-2022) 
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: 20
Section Enrolled: 0
Total Cross-list Max Enrollment: 160
Total Cross-list Enrolled: 36
Enrollment data as of: 23-FEB-2024 7:45PM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
 
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, DSCI 301, STAT 315, DSCI 301, STAT 315, DSCI 301, STAT 315. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for DSCI 301 if student has credit for ECON 307/STAT 310.