Courses are 35 hours over 2 weeks unless otherwise stated.  For any inquiries, contact esumsda@essex.ac.uk.

Session 1 – Monday 13 to Friday 24 July 2020

One-day course: Sunday 12th July
1X Introduction to R (4 hours)

Two-week courses (35 hours): 13 – 24 July
1A Mathematics 1 (15 hours)
1B Introduction to Quantitative Text Analysis
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 Introduction to Qualitative Interviewing
1J Beyond OLS: Categorical, Choice and Count Models
1K Introduction to Quantitative Methods in R
1L Introduction to Statistics for Social Science Research with SPSS
1M Data Analysis and Programming in Stata
1N Methods for Fieldwork in Social Science

One-week courses (week 1 of session 1): 13 July – 17 July
1P
Introduction to GIS, Geospatial Data and Spatial Analysis (17.5 hours)

One-week courses (week 2 of session 1): 20 July – 24 July
1Q Introduction to Causal Inference, Qualitative Research Design, and Measurement (17.5 hours)
1R Introduction to Big Data for the social sciences (course presented by the UK Data Service – 1 week, full day sessions)

Session 2 – Monday 27 July to Friday 7 August 2020

One-day course: Sunday 26 July
2X Introduction to R (4 hours)

Two-week courses (35 hours) : 27 July  – 7 August
2A Mathematics part 2 (15 hours)
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 Machine Learning for Social Scientists
2K Causal Inference and Experiments in the Social Sciences
2L Generalized Linear Models
2M Introduction to Bayesian Analysis
2N Confirmatory Factor Analysis & Structural Equation Modelling with MPLUS

One-week courses (week 1 of session 2): 27 – 31 July
2Q
Ethnography and Ethnographic Methods (35 hours)
2R Advanced Social Network Analysis – Cross-sectional and Longitudinal Social Network Analysis (17.5 hours)

One-week courses (week 2 of session 2): 3 – 7 August
2S Quantitative methods for surveying hard-to-reach populations
2T Survival Analysis and Event History Modelling (17.5 hours)

Session 3 – Monday 10 to Friday 21 August 2020

One-day course: Sunday 9 August
3X Introduction to R (4 hours)

Two-week courses (35 hours): 10 – 21 August
3A Mathematics part 3 (15 hours)
3B Quantitative Text Analysis
3C Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics
3D Computational methods for Social Data Science: Exploring Society through Visualization and Modelling
3E Maximum Likelihood Estimation
3F Bayesian Analysis for the Social and Behavioural Sciences
3G Quantitative Methods for Causal Inference and Policy Evaluation
3H Spatial Econometrics
3I Web Scraping and Data Management for Social Scientists 
3J Advanced Quantitative Data Analysis
3K Time Series and Panel Models for Dynamic and Heterogeneous Processes
3L Scaling Methods and Ideal Point Estimation: Measuring Patterns and Preferences
3N Advanced Machine Learning for Social Scientists

One-week course (week 1 of session 3): 10 – 14 August
3P
Agent Based Models (17.5 hours)