Strimmer Lab - Courses

Lecture notes:

Current academic year (University of Manchester):

2020-2021:
- Term 2: Module MATH20802 Statistical Methods (260 students)
- Term 1: Module MATH38161 Multivariate Statistics and Machine Learning (70 students)
- Project supervision:
  - Various M.Sc., year 4 and year 3 projects

Previous courses (University of Manchester):

2019-2020:
- Term 2: Module MATH20802 Statistical Methods (250 students)
- Term 1: Module MATH20802 Multivariate Statistics and Machine Learning (90 students)
- Project supervision:
  - Comparison study of the maximal information coefficient for measuring nonlinear dependence (M.Sc.)
  - Measuring nonlinear multivariate association by distance correlation (M.Sc.)
  - Comparison of mutual information and maximal information coefficient for measuring nonlinear association (M.Sc.)
  - An introductory approach to reinforcement learning (year 4)
  - Variational auto-encoders with application to unsupervised representation learning (year 3)
  - Interpretable factor models and variational autoencoders (year 3)
2018-2019:
- Term 2: Module MATH20802 Statistical Methods (270 students)
- Term 1: Module MATH38161 Multivariate Statistics and Machine Learning (70 students)
- Project supervision:
  - The SES algorithm for discovering statistically equivalent feature subsets (M.Sc.)
  - Feature selection via conditional likelihood (M.Sc.)
  - An overview over energy statistics (M.Sc.)
  - Statistics based on distance correlation (M.Sc.)
  - Theoretical and empirical analysis of tree based ensemble methods (year 4)
  - The classification performance of neural networks with images (year 3)
  - Advanced methods for image classification tasks (year 3)
2017-2018:
- Term 2: Module MATH1982 Foundations in Probability (310 students)
- Term 2: Seminar Statistics and Machine Learning discussion group
- Project supervision:
  - Empirical Bayes approaches for estimating false discovery rates (M.Sc.)
  - Entropy approach to information integration using linear and log-linear pools (M.Sc.)
  - Empirical study of the maximal information coefficient (M.Sc.)
  - Investigating non-linear relationships with mutual information (M.Sc.)

Previous courses (Imperial College London):

2017-2018:
- Term 2: Module Advanced Regression, shared (M.Sc.)
2016-2017:
- Term 2: Module Advanced Regression (M.Sc.)
- All terms: Seminar Current Topics in Biostatistics
2015-2016:
- Term 2: Module Advanced Regression (M.Sc.)
- All terms: Seminar Current Topics in Biostatistics
2014-2015:
- Term 2: Module Advanced Regression, shared (M.Sc.)
- Term 1: Tutorials Introduction to Statistical Thinking and Data Analysis
- All terms: Seminar Current Topics in Biostatistics

Previous courses (University of Leipzig):

2013-2014:
- SS 2014: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- WS 2013: Statistisches Lernen
- WS 2013: D. V. Lindley - Understanding Uncertainty
2012-2013:
- SS 2013: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- WS 2012: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2012: Einführung in R
2011-2012:
- SS 2012: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- SS 2012: Statistical Analysis of RNA-Seq Data
- WS 2011: E.T. Jaynes: Probability Theory - The Logic of Science (ctd.)
- WS 2011: Einführung in R
- WS 2011 + SS 2012: Research colloquium ("F-Seminar")
2010-2011:
- SS 2011: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- SS 2011: E.T. Jaynes: Probability Theory - The Logic of Science
- WS 2010: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2010 + SS 2011: Research colloquium ("F-Seminar")
- WS 2010: Einführung in R
2009-2010:
- SS 2010: Grundbegriffe der medizinischen Biometrie und Epidemiologie
- WS 2009: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2009 + SS 2010: Research colloquium ("F-Seminar")
- WS 2009: Einführung in R
2008-2009:
- SS 2009: Einführung in die medizinische Biometrie und Epidemiologie
- SS 2009: Current topics in biostatistics
- WS 2008: Grundlagen des Maschinellen Lernens und der Statistik
- WS 2008 + SS 2009: Research colloquium ("F-Seminar")
2007-2008:
- SS 2008: Einführung in die medizinische Biometrie und Epidemiologie
- SS 2008: Research colloquium ("F-Seminar")
- WS 2007: Grundlagen des Maschinellen Lernens und der Statistik
2006-2007:
- SS 2007: Statistical Modeling of Biological Networks
- SS 2007: Concepts of Causality in Biology and Medicine
- SS 2007: Current Research in Statistics and Bioinformatics

Previous courses (University of Munich):

2005-2006:
- SS 2006: Modeling, Simulation and Inference of Complex Biological Systems
2004-2005:
- SS 2005: Strategies for Analyzing High-Dimensional Data (literature list)
- SS 2005: Journal club on statistics in genomics and proteomics
- WS 2004: Statistical Analysis of Gene Expression Data
2003-2004:
- SS 2004: Stochastic Modeling of Complex Biological Systems
- WS 2003: Practical Analysis of Gene Expression Data
2002-2003:
- SS 2003: Genetic Networks: Models and Estimation
- WS 2002: Introduction to Statistical Models in Sequence Analysis
- WS 2002: Book and journal club on molecular evolution
2001-2002:
- SS 2002: Statistical Analysis of Gene Expression Data