Course Schedule and Catalog
Course Schedule - Fall Semester 2022
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 643 901 (CRN: 14937)
BIG DATA
Long Title: BIG DATA
Department: Computer Science
Instructor: Orooji, Marmar
Meeting: (22-AUG-2022 - 2-DEC-2022)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Online
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
Online Master of Data Science
Online Master Computer Science
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: COMP 630
Section Max Enrollment: 35
Section Enrolled: 8
Enrollment data as of: 14-SEP-2024 3:32PM
Final Exam: GR Course-Dept Schedules Exam
Description: This course is an introduction to modern data science. Data science is the study of how to extract actionable, non-trivial knowledge from data. The course will focus on software tools used by practitioners of modern data science, the mathematical and statistical models that are employed in conjunction with such software tools and the applications of these tools and systems to different problems and domains. In particular, this class explores the use of these tools and models in the analysis of “big” data, that is datasets that are too large to be analyzed on a typical personal computer. In order to enroll in an online section of this course, you are expected to have a working camera and microphone. During class sessions, you must be able to participate using your microphone and you are expected to have your camera on for the duration of the class so that you are visible to the instructor and other students in the class, just as you would be in an in-person class.