Course Schedule - Fall Semester 2018

     

STAT 315 001 (CRN: 13905)

STATISTICS FOR DATA SCIENCE

Long Title: PROBABILITY AND STATISTICS FOR DATA SCIENCE
Department: Statistics
Instructor: Guerra, Rudy
Meetings:
1:00PM - 2:15PM TR KCK 100 (20-AUG-2018 - 30-NOV-2018) 
7:00PM - 7:50PM T DCH Sym II Lab (20-AUG-2018 - 30-NOV-2018) 
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: 39 (Reserved + All Others)
Reserved Seats for Fall Semester 2018 Matriculants: 7 (5 Available)
Total Cross-list Max Enrollment: 196
Total Cross-list Enrolled: 142
Enrollment data as of: 20-MAY-2022 9:37AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Times:
7-DEC-2018  
9:00AM - 12:00PM F KCK 100
 
7-DEC-2018  
9:00AM - 12:00PM F KCK 101
 
 
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. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for STAT 315 if student has credit for STAT 310.