I’m teaching

2018

  • Spring and Autumn 2018 – Practice and Interpretation of Quantitative Research (2nd Year Undergrad level) University of Warwick, UK. This is a Year 2 core module which covers elementary quantitative methods skills. The aim of the module is to introduce students to the use of quantitative methods for sociologically relevant research. By the end of this module, students will be able to critically engage with published quantitative sociological research and undertake elementary quantitative data analysis independently. Students will be introduced to the use of statistical software (SPSS) for the analysis of large-scale quantitative data. The module builds on research design skills acquired in other modules and we aim to develop practical research skills related to quantitative methods.
  • February 2018 Q-Step Undergraduate seminar, Warwick University – The aim of the seminar was to introduce undergraduate students to Digital Methods and Big Data.
Simon Piatek - teaching
Simon Piatek – teaching

2017

  • Spring 2017 – Modelling Social Data II (MA, PhD level), Goldsmiths College, University of London, UK. The course covers multivariate modelling involving the advanced statistical techniques. Areas covered:
    1. the principles of regression analysis, multiple regression analysis and path analysis
    2. the core features of data reduction and scaling techniques such as multiple indicator scaling, regression weighted scaling, cluster analysis and factor analysis
    3. the full range of statistical and modelling assumptions made in the conduct of regression analysis and how the consequences of making these assumptions may be assessed and if necessary responded to.
  • Spring 2017 – Researching Society & Culture (1st Year Undergrad level), Goldsmiths College, University of London, UK. This module is lecture and workshop based and aims to introduce students to the methods that sociologists have developed to analyse their societies and to produce sociological knowledge. Students are encouraged to develop core skills in methods of research by being introduced to the practice of sociological research. Methods are introduced in relation to key sociological topics and research traditions that are closely identified with them, thus allowing students to confront methods as real practices rather than abstractions. The course also covers: Introduction to Quantitative Sociology, Introduction to SPSS, Univariate and Bivariate Data Analysis Using SPSS
  • Spring 2017 Introduction to SPSS (3rd Year Undergrad level), Goldsmiths College, University of London, UK. The aim of this module was to introduce students to Quantitative Sociology and especially Univariate, Bivariate and Multivariate Data Analysis Using SPSS

2016

  • Autumn 2016 – Modelling Social Data I (MA, PhD level), Goldsmiths College, University of London, UK – This module provides advanced level training in theoretically informed quantitative social research, proving skills in using contemporary software programmes (SPSS) and enabling the exploratory secondary analysis of large data sets. The module introduces the methods and procedures of quantitative social research, including the formulation of research questions, use of previous research findings, the role of models and model building, operationalisation of concepts and study design. The module covers both analytic (causal inference) and inferential statistics confidence intervals and significance tests) and these are applied in social survey data analysis.
  • April 2016 Q-Step Summer School (Digital Methods) seminar, Warwick University – The aim of the seminar was to introduce undergraduate students to Digital Methods and Big Data.
  • Spring 2016 – Understanding Social Research (1st Year Undergrad level), University of Warwick, UK -The aim of the module is to develop critical thinking about empirical social research and to introduce students to a wide range of studies which apply quantitative and qualitative methods. Understanding Social Research module provided a firm foundation on principles of research design and social research methods.

2015

  • Autumn 2015 – Advanced Training event ‘Digital Methods and Big Social Data – An introduction to Twitter Data Mining, Digital Social Network Analysis and Data Visualisation, Warwick University – The aim of this series of events was to introduce MA students to Digital Methods and Big Data. The seminar was run by Sam Martin. My job was to provide support for students with the practical side of data mining, manipulation and visualisation.
  • September 2015, Data Mining and Data Visualisation workshop, London – The aim of this event was to introduce PhD students from various UK universities to Digital Methods and Big Data. The seminar was run by Sam Martin. My job was to provide support for students with the practical side of data mining, manipulation and visualisation.
  • May 2015 – Big Data and Health Workshop, Cambridge University – The aim of this seminar was to introduce MA, PhD and Post doc students from numerous UK universities to Digital Methods and Big Data. The seminar was run by Sam Martin. My job was to provide support for students with the practical side of data mining, manipulation and visualisation.
  • Spring 2015 – Understanding Social Research (1st Year Undergrad level), University of Warwick, UK – The aim of the module is to develop critical thinking about empirical social research and to introduce students to a wide range of studies which apply quantitative and qualitative methods. Understanding Social Research module provided a firm foundation on principles of research design and social research methods.