2017 Course List Overview in Date order

Detailed information for each course can be found by clicking on each individual title

Colchester Campus – ESSEXLab
22nd – 23rd May
5M Learning What Works

EITM Summer Programme – Turin *Fully Booked*
0A 24 – 25 June Refresher Course in Mathematics and R
0B 26 – 28 June Statistical Foundations of EITM
0C 29 Jun – 1 Jul Theoretical Foundations of EITM
0D 3 – 5 July Bayesian Nets
0E 6 – 8 July (Mixed) Methods in International Cooperation: Theory and Applications

Oxford – CESS / Nuffield College
26th June – 7th July
0F Introduction to Experiments (Takes place in Oxford, Nuffield College) *Fully booked*

Session 1 / University of Essex – Colchester Campus
9th July
1X Introduction to R
10th – 21st July
1A Mathematics 1
1B Achieving Impact through Quantitative Social Science
1C Applying Regression
1D Introduction to Social Network Analysis
1E Introduction to Multilevel Models
1F Introduction to Survey Data Analysis
1G Longitudinal Data Analysis
1H Qualitative Data Analysis: Methodologies for Analysing Text and Talk *Fully booked*
1I Qualitative Research: Practical Principles
1J Beyond OLS: Categorical, Choice and Count Models
1K Machine Learning *Fully Booked*
1L Game Theory
10th July – 14th July
1M GIS, Map Making and Spatial Data Analysis
1P Secondary Analysis of Qualitative Data: Sharing and Reusing Data

Colchester Campus – Essex Business School
10th – 14th July
1N Statistics and Data Analysis for Management *We are no longer accepting applications for this course*

Colchester Campus – ESSEXLab
10th – 14th July
1Q Introduction to Experiments: Designing, Conducting, and Analyzing Social Science Experiments in the Field, Through Surveys, and in the Laboratory
15th – 16th July
1R Z-Tree Programming
1S Small Sample Experimental Data

Session 2 / University of Essex – Colchester Campus
23rd July
2X Introduction to R
24th July – 4th August
2A Mathematics part 2
2B Quantitative Data Analysis with R
2C Advanced Survey Data Analysis and Survey Experiments
2D Qualitative Analysis: Case Study Methods
2E Multilevel Models: Practical Applications
2F Exploration and Analysis of Social Media Data
2G Panel Data Analysis for Comparative Research
2H Mixed Methods Research
2I Applying Discourse Theory – Politics, Ideology, Populism
2J Survival Analysis and Event History Modelling
2K Data Visualisation Using R
2L Generalized Linear Models
2M Identifying Causation through Experimental & Quasi-Experimental Research
24th July – 28th July
2N Advanced Social Network Analysis – Cross-sectional and Longitudinal Social Network Analysis
2P Ethnography and Ethnographic Methods *Fully booked*
2Q Applied Research Methods with Hidden, Marginal and Excluded Populations *Fully booked*
2R Web Scraping and Data Management
2S Open Science: Transparent and Reproducible Methods *We are no longer accepting applications for this course*

Session 3 / University of Essex – Colchester Campus
6th August
3X Introduction to R
7th – 18th August
3A Mathematics part 3
3B Quantitative Text Analysis
3C Pooled Times-Series Cross-Sectional Analysis
3D Multilevel Models 2: Advanced practical applications
3E Designing Your Own Statistical Models Using Maximum Likelihood Estimation
3F Bayesian Analysis in the Social Sciences
3G Advanced Methods for Policy Analysis and Evaluation
3H Spatial Econometrics
3I Comparative and Cross-Cultural Analysis with Multiple Group Confirmatory Factor Analysis and Multiple Group Structural Equation Modeling with MPLUS 8
3J Advanced Quantitative Data Analysis
3K Dynamic Models for Social Scientists
3L Ideal Point Estimation, Item Response Theory and Scaling Methods
7th – 11th August
3N Agent Based Models