2018 Course List Overview in Date order

Detailed information for each course to follow shortly

EITM Summer Programme – Turin
0A 23 – 24 June James Lo Refresher Course in Mathematics and R
0B 25 – 27 June James Lo Statistical Foundations of EITM
0C 28 – 30 June Thomas Bräuninger Theoretical Foundations of EITM
0D 2 – 4 July Nicole Baerg Automatic Text Analysis and Machine Learning
0E 5 – 7 July Pablo Barberá Social Media Reseach

Oxford – CESS / Nuffield College
25th June – 6th July
0F Introduction to Experiments (Takes place in Oxford, Nuffield College)

Session 1 / University of Essex – Colchester Campus
8th July
1X Introduction to R
9th – 20th July
1A Mathematics 1
1B Intro to Methods for the Digital Humanities and History
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
1I Qualitative Research: Practical Principles
1J Beyond OLS: Categorical, Choice and Count Models
1K Machine Learning for Social Scientists
1L Game Theory
1M Data Analysis and Programming in Stata
9th July – 13th July
1P Secondary Analysis of Qualitative Data: Sharing and Reusing Data

Colchester Campus – ESSEXLab
9th – 13th July
1Q Research/Experimental Design and Experimental Approaches
16th – 20th July
1R Programming ZTree, Conducting lab experiments & Statistical methods/analysis of experimental data

Session 2 / University of Essex – Colchester Campus
22nd July
2X Introduction to R
23rd July – 3rd August
2A Mathematics part 2
2B Quantitative Data Analysis with R
2C Advanced Survey Data Analysis and Survey Experiments
2D Case Study Methods
2E Multilevel Models: Practical Applications
2F Advanced Methods for Social Media & Textual 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
2N Ethnography and Ethnographic Methods
2P Web Scraping and Data Management
2Q Field Methods for Social Scientists: Organisation and Practice
23rd July – 27th July
2R Advanced Social Network Analysis – Cross-sectional and Longitudinal Social Network Analysis
30th July – 3rd August
2S Applied Research Methods with Hidden, Marginal and Excluded Populations

Session 3 / University of Essex – Colchester Campus
5th August
3X Introduction to R
6th – 17th 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 Factor Analysis & Structural Equation Modelling with MPLUS
3J Advanced Quantitative Data Analysis
3K Dynamic Models for Social Scientists
3L Ideal Point Estimation
3M Computational Social Science
3N Advanced Machine Learning for Social Scientists
6th – 10th August
3P Agent Based Models