**Fall 2018 (at the University of Edinburgh)**

- Introductory Probability and Statistics (lectures)

**Past teaching**

• Fall 2017:

– Generalized linear models (lectures)

– Coordinator of bachelor theses in statistics

• Spring 2017:

– Coordinator of bachelor theses in statistics

• Fall 2016:

– Generalized linear models (lectures)

– Probability theory and statistical inference II (lectures)

– Coordinator of bachelor theses in statistics

• Spring 2016:

– Coordinator of bachelor theses in statistics

• Fall 2015:

– Probability theory and statistical inference II (lectures)

– Quantitative methods I (lectures)

– Coordinator of bachelor theses in statistics

• Spring 2015:

– Probability theory and statistical inference II (lectures)

– Quantitative methods II (lectures)

– Coordinator of bachelor theses in statistics

• Spring 2014:

– Probability theory and statistical inference II (lectures)

– Quantitative methods (lectures)

• Spring 2014:

– Statistics for engineers (problem-solving sessions, computer labs)

• Spring 2013:

– Statistics for engineers (lectures, problem-solving sessions, computer labs)

• Autumn 2012:

– Regression and analysis of variance (lectures)

– Inference Theory (computer labs)

• Spring 2012:

– Statistics for engineers (lectures, problem-solving sessions, computer labs)

– Statistical risk analysis (computer labs)

• Autumn 2011:

– Regression and analysis of variance (lectures, computer labs)

• Spring 2011:

– Statistics for engineers (lectures, problem-solving sessions, computer labs)

– Multivariate methods (lectures, computer labs)

• Spring 2010:

– Multivariate methods (lectures, computer labs)

• Autumn 2009:

– Probability and statistics (problem-solving sessions)

– Applied statistics (computer labs)

– Regression and analysis of variance (lectures, computer labs)

• Spring 2009:

– Inference theory (lectures, computer labs)

– Statistics for engineers (problem-solving sessions, computer labs)

• Autumn 2008:

– Probability and statistics (problem-solving sessions)

– Applied statistics (computer labs)

– Regression and analysis of variance (lectures, computer labs)

• Spring 2008:

– Probability and statistics (problem-solving sessions)

– Inference theory (computer labs)