Course Schedule - Fall Semester 2017

     

COMP 330 001 (CRN: 14383)

TOOLS & MODELS - DATA SCIENCE

Long Title: TOOLS AND MODELS FOR DATA SCIENCE
Department: Computer Science
Instructor: Jermaine, Christopher M.
Meeting: 10:00AM - 10:50AM MWF HRZ 212 (21-AUG-2017 - 1-DEC-2017) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: (MATH 211 OR MATH 221) AND COMP 215
Section Max Enrollment: 80
Section Enrolled: 106
Enrollment data as of: 1-APR-2020 10:19AM
 
Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
11-DEC-2017  
9:00AM - 12:00PM M TBA TBA
 
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 proposed course will focus both on the software tools used by practitioners of modern data science, as well as the mathematical and statistical models that are employed in conjunction with such software tools. On the tools side, we will cover the basics of relational database systems, as well as modern systems for distributed computing based on MapReduce. On the models side, the course will cover standard supervised and unsupervised models for data analysis and pattern discovery.