Course Schedule and Catalog
Course Schedule - Spring Semester 2019
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.
DSCI 302 001 (CRN: 26487)
DATA SCIENCE TOOLS AND MODELS
Long Title: INTRODUCTION TO DATA SCIENCE TOOLS AND MODELS
Department: Data Science
Instructor: Myers, Risa
Meeting: 9:00AM - 9:50AM MWF (7-JAN-2019 - 19-APR-2019)
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 Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: COMP 140 AND (STAT 310 OR STAT 315)
Section Max Enrollment: 60
Section Enrolled: 28
Enrollment data as of: 3-NOV-2025 8:51PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
28-APR-2019
2:00PM - 5:00PM U
Description: This course introduces key concepts in data management, preparation, and modeling and provides students with hands-on experience in performing these tasks using modern tools, including relational databases and Spark. Models covered include linear and logistic regression and gradient descent. For registration purposes, COMP 140 is a required prerequisite for this course. With instructor permission, students that have taken CAAM 210 (or another applicable course) may be allowed to special register for this course. Students seeking this instructor permission (to waive or substitute the COMP 140 prerequisite requirement) are expected to know the Python programming language, and may be required to demonstrate proficiency.