feb 1 |
Lecture 1 |
Intro to Computational Social Science |
Feb |
Wed |
feb 8 |
Lecture 2 |
Data 1: Gathering Data |
Feb |
Wed |
feb 15 |
Lecture 3 |
Data 2: Distributions in Empirical data |
Feb |
Wed |
feb 22 |
Lecture 4 |
Networks 1: Building the network |
Feb |
Wed |
feb 28 |
Assignment 1 |
Assignment Due |
Mar |
Tue |
mar 1 |
Lecture 5 |
Networks 2 : Properties of Real World Networks |
Mar |
Wed |
mar 8 |
Lecture 6 |
Networks 3 : Centrality, Assortativity and Communities |
Mar |
Wed |
mar 15 |
Lecture 7 |
Text 1: The Basics |
Mar |
Wed |
mar 22 |
Lecture 8 |
Text 2: Networks and Text |
Mar |
Wed |
mar 28 |
Assignment 2 |
Assignment Due |
Mar |
Tue |
mar 29 |
Project Assignment A |
Independent Preparation Work |
Mar |
Wed |
apr 5 |
Easter Break |
Easter Break |
Apr |
Wed |
apr 12 |
Project Assignment A |
Independent Preparation Work |
Apr |
Wed |
apr 18 |
Project Assignment A |
Assignment Due |
Apr |
Tue |
apr 19 |
Lecture 9 |
Presentations |
Apr |
Wed |
apr 26 |
Project Assignment B |
Independent Preparation Work |
Apr |
Wed |
may 3 |
Project Assignment B |
Independent Preparation Work |
May |
Wed |
may 7 |
Project Assignment B |
Assignment Due |
May |
Sun |