Lectures for MSc Statistics

This list shows you the available core courses and math/stat electives. For the math/stat electives, you CAN choose (at most) one specialization, but NEED NOT. If you choose a specialization, you can still visit classes for other specializations and get credit; but you will only get at most one specialization mentioned on your diploma.

(Spec: Can count as specialization; M: Methodology, A: Applied, B: Biostatistics, *: can also be chosen as applied elective if it fits into your applied area)

Applied Electives

All lectures outside ETH math department, which build a coherent group; lectures in Core topics or Stat./math. electives CAN NOT count as Applied Electives (the only exceptions are the stat/math electives indicated explicitly as being valid as applied elective by a star (*)).

Spring 2014

For details on university courses see: Modules of MSc Biostatistics at UZH

Core topics

401-3622-00L Regression
401-0102-00L Multivariate Statistics
401-0102-99L Multivariate Statistics (with Supplement)
401-6624-00L Applied Time Series Analysis (with Supplement)

Stat/math electives

A/M/B - 401-3632-00L Computational Statistics
M - 401-3642-00L Brownian Motion and Stochastic Calculus
M - 401-4601-14L Levy Processes and Continuous State Branching Processes
M - 401-4627-00L Empirical Process Theory and Applications
A/M - 401-3628-14L Bayesian Statistics
A/M/B - 401-6228-00L Programming with R for Reproducible Research
A/M - 401-3919-60L An Introduction to the Modelling of Extremes
(*)A - 401-3629-00L Quantitative Risk Management
A/M - 401-4658-00L Computational Methods for Quantitative Finance: PDE Methods
A/M - 401-0664-00L Numerical Analysis
M - 401-2284-00L Measure and Integration
M - 401-3901-00L Mathematical Optimization
M - 401-3904-00L Convex Optimization
M - 401-4904-00L Combinatorial Optimization
A/M - 263-5200-00L Data Mining: Learning from Large Data Sets
A/M - 263-5220-00L Projects in Machine Learning: Selected Topics
M - 252-0526-00L Statistical Learning Theory
A/B - 636-0702-00L Statistical Models in Computational Biology
A - 401-6222-00L Nonlinear and Robust Regression
A - 401-6236-00L Statistics for Survival Data
B - UNIVERSITY Statistical Methods in Epidemiology
B - UNIVERSITY Survival Analysis

Seminars

401-4620-00L Statistics Lab
401-3620-13L Seminar in Statistics (permission by lecturer required)

Fall 2013

For details on university courses see: Modules of MSc Biostatistics at UZH

Core topics

401-0649-00L Applied Statistical Regression
401-0649-99L Angewandte statistische Regression (mit Ergaenzungen)
401-0625-01L Applied Analysis of Variance and Experimental Design
401-0625-99L Angewandte Varianzanalyse und Versuchsplanung (mit Ergaenzung)
401-3621-00L Fundamentals of Mathematical Statistics
401-3626-00L Multivariate Statistics
UNIVERSITY - Likelihood Inference

Stat/math electives

M - 401-3601-00L Probability Theory
A/M - 401-4625-00L Spatial Statistics
A/M/B - 401-3611-00L Advanced Topics in Computational Statistics
A/M - 401-6217-00L Using R for Data Analysis and Graphics (Part II)
A - 401-0627-00L Smoothing and Nonparametric Regression with Examples
M - 401-3913-01L Mathematical Foundations for Finance
B - 401-6282-00L Statistical Methods for the Analysis of Microarray and Short-Read Sequencing Data
M - 401-2903-00L Introduction to Optimization
M - 401-0647-00L System Modeling and Optimization
M - 401-3903-11L Geometric Integer Programming
A/M - 252-0535-00L Machine Learning
A/B - 252-0523-00L Computational Biology
B - UNIVERSITY - Statistical Methods in Clinical Research

Seminars

252-5051-00L Advanced Topics in Pattern Recognition

Spring 2013

For details on university courses see: Modules of MSc Biostatistics at UZH

Core topics

401-0102-00L Applied Multivariate Statistics
401-6624-11L Applied Time Series Analysis

Stat/math electives

A/M/B - 401-3632-00L Computational Statistics
A/M - 401-3602-00L Applied Stochastic Processes
M - 401-3642-00L Brownian Motion and Stochastic Calculus
A/M - 401-4658-00L Computational Methods for Quantitative Finance: PDE Methods
(*)A - 401-3629-00L Quantitative Risk Management
A/M - 401-3919-60L An Introduction to the Modelling of Extremes
(*)A - 401-3926-00L Credibility
A/M - 401-0664-00L Numerische Mathematik
M - 401-2284-00L Mass und Integral
M - 401-3901-00L Mathematical Optimization
M - 401-3904-00L Convex Optimization
A/M - 263-5200-00L Data Mining: Learning from Large Data Sets
M - 252-0526-00L Statistical Learning Theory Information
A/B - 636-0702-00L Statistical Models in Computational Biology
A/B - 252-0580-00L Probabilistic Modeling in Molecular Evolution
B - UNIVERSITY Bayesian Biostatistics
B - UNIVERSITY Statistical Methods in Epidemiology
A/B - UNIVERSITY Mixed Models for Longitudinal Data

Seminars

401-4620-00L Statistics Lab
401-3620-13L Seminar in Statistics

Fall 2012

Core topics

401-0649-00L Applied Statistical Regression
401-0625-01L Applied Analysis of Variance and Experimental Design
401-4623-00L Time Series Analysis
401-3621-00L Fundamentals of Mathematical Statistics
UNIVERSITY - Likelihood Inference

Stat/math electives

M - 401-3601-00L Probability Theory
A/M - 401-3625-62L Robust Statistics
A/M - 401-6217-00L Using R for Data Analysis and Graphics (Part II)
A - 401-0627-00L Smoothing and Nonparametric Regression with Examples
M - 401-3913-01L Mathematical Foundations for Finance
B - 401-6282-00L Statistical Methods for the Analysis of Microarray and Short-Read Sequencing Data
A - 401-6201-00L Resampling-Methoden
A/M - 401-6221-00L Nichtparametrische Regression
A - 401-6233-00L Räumliche Statistik
A - 401-6257-00L Repeated Measures
A - 401-6245-00L Data-Mining
A - 401-6273-00L Bayes-Methoden
A - 401-6289-00L Stichproben-Erhebungen
M - 401-2903-00L Introduction to Optimization
M - 401-3903-11L Geometric Integer Programming
A/M - 252-0535-00L Machine Learning
A/B - 252-0523-00L Computational Biology
B - UNIVERSITY - Statistical Methods in Clinical Research
A/B - UNIVERSITY - Survival Analysis

Seminars

There will be no seminars in this semester.

Spring 2012

Core topics

401-3622-00L Regression
401-0102-00L Applied Multivariate Statistics
401-0102-99L Applied Multivariate Statistics (with Supplement)
401-6624-11L Applied Time Series Analysis
401-6624-00L Applied Time Series Analysis (with Supplement)

Stat/math electives

A/M - 401-3632-00L Computational Statistics
M - 401-3642-00L Brownian Motion and Stochastic Calculus
A/M - 401-3612-00L Stochastic Simulation
M - 401-4627-00L Empirical Process Theory and Applications
A/M - 401-4658-00L Computational Methods for Quantitative Finance: PDE Methods
(*)A - 401-3629-00L Quantitative Risk Management
(*)A - 401-3926-00L Credibility
A/M - 401-0664-00L Numerische Mathematik (german)
A - 401-6222-00L Nonlinear and Robust Regression (block-course in June)
A - 401-6233-00L Räumliche Statistik (german; block-course; time tba)
A - 401-6236-00L Statistics for Survival Data (block-course; time tba)
M - 401-3901-00L Mathematical Optimization
M - 401-3904-00L Convex Optimization Information
A/M - 263-5200-00L Data Mining: Learning from Large Data Sets
M - 252-0526-00L Statistical Learning Theory
M - 401-3614-12L Markov Chains: Mixing Times and Applications
A/M - University - Bayesian Inference
(*)B - University - Stat. Methods in Infectious Disease Epidemiology
(*)B - University - Stat. Methods in Epidemiology

Seminars

401-4620-00L Statistics Lab
252-5051-00L Seminar (Robust Statistics)

Fall 2011

Core topics

401-0649-00L - Applied Statistical Regression
401-0649-99L - Angewandte statistische Regression (mit Ergänzung)
401-0625-01L - Applied Analysis of Variance and Experimental Design
401-0625-99L - Angewandte Varianzanalyse und Versuchsplanung (mit Ergänzung)
401-3621-00L Fundamentals of Mathematical Statistics
University - Likelihood Inference (STA402, 5CP), L. Held: Thursday 9-11 lecture, 11-12 exercises, room: HRSF05 [replaces Applied Math. Stat. from previous semesters; counts in category MATH-STAT]

Stat/math electives

A/M - 401-4636-08L An Introduction to Copulas
M - 401-4601-61L Lévy Processes
A/M - 401-3627-00L High-Dimensional Statistics
A/M - 401-3919-60L An Introduction to the Modelling of Extremes
A/M/B - 401-3611-00L Advanced Topics in Computational Statistics
A/M - 401-6217-00L Using R for Data Analysis and Graphics (Part 2)
A - 401-0627-00L Smoothing and Nonparametric Regression with Examples
(*)M - 401-3913-01L Mathematical Foundations for Finance
A - 401-6201-00L Resampling-Methoden
B - Statistical Methods for the Analysis of Microarray and Short-Read Sequencing Data
A/M - 401-2903-00L Introduction to Optimization
M - 401-3901-00L Mathematical Optimization
M - 401-3903-11L Geometric Integer Programming
A/M - 252-0535-00L Machine Learning
B - Statistical Methods in Clinical Research (STA404, 5CP), K. Rufibach: Friday 8-10 lecture, 10-11 exercises, room: HRSF05

Seminars

401-4620-00L Statistics Lab
252-5051-00L Advanced Topics in Pattern Recognition

Spring 2011

Core topics

Nummer	Titel	Typ	ECTS	Umfang	Dozierende
401-0102-00L	Applied Multivariate Statistics	W	3 KP	2G	W. A. Stahel
401-3626-00L	Multivariate Statistics	W	4 KP	2V	M. H. Maathuis
401-6624-11L	Applied Time Series Analysis	W	4 KP	2G	M. Dettling

Statistical and mathematical Electives

Spec	Nummer	Titel	Typ	ECTS	Umfang	Dozierende
A/M	263-5200-00	Data Mining: Learning from Large Data Sets
A/M	401-3632-00L	Computational Statistics	W	10 KP	3V + 2U	M. Mächler, P. L. Bühlmann
A/M	401-3602-00L	Applied Stochastic Processes	W	8 KP	3V + 1U	M. Schweizer
M	401-4638-11L	Advanced Topics in Copula Modeling	W	4 KP	2V	P. Embrechts
M	401-4934-08L	The Theory of Extremes and Point Processes	W	4 KP	2V	P. Embrechts
A/M	401-4658-00L	Computational Methods for Quantitative Finance: PDE Methods	W	6 KP	3V + 1U	C. Schwab
A	401-3629-00L	Quantitative Risk Management	W	4 KP	2G	P. Embrechts
A/M	401-3926-00L	Credibility	W	4 KP	2V	A. Gisler
A/M	401-0664-00L	Numerische Mathematik	W	3 KP	2V + 1U	K. Nipp, M. Gutknecht
A/M	401-2903-00L	Introduction to Optimization	W	5 KP	2V + 1U	R. Weismantel
M	401-3904-00L	Convex Optimization	W	6 KP	2V + 1U	M. Baes
B	University	Spatial Epidemiology (contact reinhard.furrer_=at=_math.uzh.ch)

Seminar

Nummer	Titel	Typ	ECTS	Umfang		Dozierende
401-3620-11L	Seminar in Statistics: Survival Analysis	W	6 KP	2S		M. H. Maathuis, P. L. Bühlmann, H. R. Künsch

Fall 2010

Core topics

Nummer	Titel	Typ	ECTS	Umfang	Dozierende
401-0649-00L	Applied Statistical Regression	W	4 KP	2G	M. Dettling

401-0625-01L	Applied Analysis of Variance and Experimental Design	W	4 KP	2G	M. Müller

401-4623-00L	Time Series Analysis	W	6 KP	3G	H. R. Künsch

401-3621-00L	Mathematische Grundlagen der Statistik	W	10 KP	4V + 1U	S. Van de Geer