TELCOM2125/INFSCI2125: Network Science and Analysis


Overview

This course explores networks as a primary metaphor and mechanism for a variety of information-related phenomena. The advancement of interconnected information and communication technologies has made networks one of the dominant ways of analyzing the use and flow of information among individuals, institutions, and societies. The course starts with the basics of graph theory and moves to studying network structures and how they emerge through various network models. We begin with the traditional random graph model and we move to more realistic, socially-inspired models such as preferential attachment. We will further explore processes in a network such as diffusion of epidemics and network search. Finally, we will study issues related to games on networks. As a prerequisite, students should have a command of mathematics through linear algebra as well as probability theory. Knowledge of calculus is also helpful.

Learning outcomes

Upon satisfactory completion of this course, students will:


Basic Information
Course Grading
Course Outline
Lectures
Homework
Announcements
Course Policies

Basic Information

Instructor: Konstantinos Pelechrinis (kpele AT pitt.edu)
Office: IS Building, 717B
Office hours: Monday, 5-6pm
Teaching Assistant: Xiao Ma (xim12 AT pitt.edu)
Office: IS Building, LG11
Office hours: Tuesday/Thursday 1:30-3:30 p.m
Lectures: Wednesday 12:00 p.m. - 2:50 p.m. IS 502 Textbook: Other References: Course Requirements: Command of (i) Linear Algebra, and (ii) Probability theory. Knowledge of calculus will help tremendously as well.

 

Course Grading:

 

Course Outline

 

Lectures

 

Reading List and Interesting Materials

 

 

Homework

 

 

Announcements

 

Course Policies