Courses for the fifty-fifth Essex Summer School in Social Science Data Analysis

Courses are delivered either online, in person or in hybrid mode. The mode of delivery for each course is stated below. 

Please note the following:

In person study: These course will be delivered in person at the Colchester campus. Online study is not available for these courses.

Online study: These courses will be taught online only. In person study is not available for these courses.

Hybrid: Hybrid delivery of courses will include synchronous live sessions during which on campus and online students will be taught simultaneously. Students need to choose the mode by which they will study at the point of application.

Please note: Courses take place in mornings or afternoons, British Summer Time (BST).
The schedule for each session is described in the menu on the left.

For enquiries, please contact us at esumsda@essex.ac.uk
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PRE-SESSIONAL: Monday 4 July to Friday 8 July 2022

One week course (17.5 hours): 4-8 July 2022

0A Introduction to R Programming in the Social Sciences (Online only)

 

SESSION ONE: Sunday 10 July to Friday 22 July 2022

One-day course: Sunday 10th July 2022

1X Introduction to R (6 hours) (Online only)

Two-week courses (35 hours): 11 – 22 July 2022
1A Mathematics 1 (15 hours) (Online only)
1B Introduction to Quantitative Text Analysis (Online only)
1C Introduction to Regression (Online only)
1D Introduction to Social Network Analysis (Hybrid)
1E Statistical Modelling for Multilevel and Complex Models  (In person only)
1F Introduction to Statistics for Survey Data Analysis  (Hybrid)
1G Longitudinal Data Analysis (Online only)
1H Qualitative Data Analysis: From Content to Discourse (In person only)
1I Qualitative Interviewing  (In person only)
1J Beyond OLS: Categorical, Choice and Count Models (Online only)
1K Introduction to Applied Bayesian Statistics (Hybrid)
1L Web Scraping and Data Management for Social Scientists (Online only)
1M Introduction to Quantitative Methods in R (Online only)
1N Methods for Fieldwork in Social Science (Hybrid)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online only)

One-week course, week 1 of session 1: 11 July – 15 July 2022
1P Introduction to GIS, Geospatial Data and Spatial Analysis (Online only)
1S Quantitative Methods for Surveying Hard to Reach Populations (Online only) 

SESSION TWO: Sunday 24th July to Friday 5 August 2022

One-day course: Sunday 24th July 2022

2X Introduction to R (6 hours) (Online)

Two-week courses (35 hours): 25 July– 5 August 2022
2A Mathematics part 2 (15 hours) (Online)
2B Quantitative Data Analysis and Statistical Graphics with R (In person only)
2C Advanced Survey Data Analysis and Survey Experiments (Online only)
2D Case Study Methods (In person only)
2E Multilevel Models: Practical Applications (Online only)
2F Quantitative Text Analysis (In person only)
2G Panel Data Analysis for Comparative Research (In person only)
2H Mixed Methods Research (In person only)
2I Applying Discourse Theory – Politics, Ideology, Populism (Hybrid) (*Course Full. New applicants will be added to the waitlist)
2J Machine Learning for Social Scientists (In person only)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2L Spatial Econometrics (Hybrid)
2M Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R (Hybrid)
2N Confirmatory Factor Analysis & Structural Equation Modelling (Online only)
2S Introduction to Statistics for Social Science Research with SPSS (Online only)

One-week courses (week 1 of session 2): 25-29 July 2022
2Q
Ethnography and Ethnographic Methods (35 hours) (In person only)
2R Advanced Social Network Analysis (Hybrid)

One-week courses (week 2 of session 2): 1-5 August 2022
2T
Survival Analysis and Event History Modelling (Online only)

SESSION THREE: Sunday 7 August to Friday 19 August 2022

One-day course: Sunday 7 August 2022

3X Introduction to R (6 hours) (Online)

Two-week courses (35 hours) 8-19 August 2022
3A Mathematics part 3 (15 hours) (Online)
3B Advanced methods for Social Media and Textural Data (In person only)
3D Computational methods for Social Data Science: Exploring Society through Visualization and Modelling (Hybrid)
3E Special Topics in Network Analysis (Online only)
3F Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online only)
3K Time Series and Panel Models for Dynamic and Heterogeneous Processes (Hybrid)
3L Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Hybrid)
3M Advanced Methods for Text as Data: Natural Language Processing (Online)
3N Advanced Machine Learning For Social Scientists  (Online)

One-week course (week 1 of session 3): 8 – 12 August
3H Introduction to Programming in Python for Social Scientists  (Hybrid)
3P
Agent-Based Models (17.5 hours) (Hybrid)