Course Schedule - Fall Semester 2019

     

ELEC 573 001 (CRN: 13996)

NETWORK SCIENCE AND ANALYTICS

Long Title: NETWORK SCIENCE AND ANALYTICS
Department: Electrical & Computer Eng.
Instructor: Segarra, Santiago
Meeting: 4:00PM - 6:50PM R MEL 254 (26-AUG-2019 - 6-DEC-2019) 
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
 
Section Max Enrollment: 35
Section Enrolled: 32
Enrollment data as of: 30-MAR-2020 11:45AM
 
Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course provides an introduction to complex networks, their structure, and function, with examples from engineering, biology, and social sciences. Topics include spectral graph theory, notions of centrality, community detection, random graph models, inference in networks, opinion dynamics, and contagion phenomena. Our main goal is to study network structures and how they can be leveraged to better understand data defined on them. Recommended Prerequisite(s): Linear algebra, probability and statistics, and basic ability to program in Python.