Course Schedule - Spring Semester 2022

     

DSCI 302 001 (CRN: 22309)

DATA SCIENCE TOOLS AND MODELS

Long Title: INTRODUCTION TO DATA SCIENCE TOOLS AND MODELS
Department: Data Science
Instructor: Myers, Risa
Meeting: 10:00AM - 10:50AM MWF DCH 1070 (10-JAN-2022 - 22-APR-2022) 
Session: 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
Must be enrolled in one of the following Minor(s):
Data Science
Prerequisites: COMP 140
Section Max Enrollment: 45
Section Enrolled: 44
Enrollment data as of: 21-FEB-2024 11:12PM
 
Additional Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
27-APR-2022  
2:00PM - 5:00PM W TBA TBA
 
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, pandas, and Spark. Models covered include kNearest Neighbors, linear regression and gradient descent. For registration purposes, COMP 140 is a required prerequisite for this course. With instructor permission, students who have experience with the Python programming language may be allowed to special register for this course. Note that these students may be required to demonstrate proficiency with Python. Priority for this course is given to students enrolled in the data science minor. Other students may be permitted to enroll at the discretion of the instructor.