Course Schedule and Catalog
Course Schedule - Fall Semester 2021
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.
COMP 680 002 (CRN: 13227)
STATS COMPUTING DATA SCIENCE
Long Title: STATISTICS FOR COMPUTING AND DATA SCIENCE
Department: Computer Science
Instructor: Chen, Su
Meeting: 2:00PM - 3:15PM MW (23-AUG-2021 - 3-DEC-2021)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
Master of Data Science
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 60
Section Enrolled: 44
Enrollment data as of: 2-DEC-2024 10:41AM
Final Exam: GR Course-Dept Schedules Exam
Description: Probability and statistics are essential tools in computer science and data science. They are at the heart of areas such as efficiency analysis of algorithms and randomized algorithms and central to fields like bioinformatics, social informatics, and, of course, machine learning. Furthermore, probability and statistics are essential for data science, as they are the foundation for quantifying uncertainty and assessing support for hypotheses and derived models. This course covers topics in probability and statistics, including probability and random variables, basic stochastic processes, basic descriptive statistics, and various methods for statistical inference and measuring support.