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MSc Coordinator of the Master in Quantitative Biology and Systems Biology
Prof. Dr. Christof Aegerter (aegerter * physik.uzh.ch)
Study Coordinator
Dr. Karin Isler (studienkoordination * biol.uzh.ch)
OVERVIEW
The increasing role of quantification in biology, and particularly in the field of systems biology, makes it essential for students to be capable of describing biological phenomena in quantitative terms. These basic skills are covered in two complementary areas. Firstly, students are taught computer-aided and mathematical skills – including, in particular, the standard statistical analysis methods employed in bioinformatics and the computer-aided evaluation of data by means of image recognition, etc. Mention should also be made here of (non-computer-aided) data analysis of the kind employed in physics. Complementary problems, such as working out a quantitative model and solving it (on the computer), provide the basis for acquiring mathematical skills. The modeling methods used here are not only of fundamental importance for systems biology but also for evolution, ecology and immunology. Secondly, students are familiarized with experimental methods and their backgrounds. These include the latest quantitative methods in genomics and proteomics, as well as physical methods and the background to these. Particular mention should be made here of the imaging methods (microscopy and fMRI); this area also takes in the methods used in biomechanics and crystallography and, in the case of ecology and behavioral research, state-of-the-art tracking methods too.
MASTER'S DEGREE COURSE
The program is centered around the two complementary blocks described above. A wide range of block courses and special lectures are provided, and students can focus on different aspects (modeling/experimental methods/genomics and proteomics) depending on the topic chosen for their Master's thesis.
GUIDELINES
BIO 513 Master's thesis (60 ECTS); BIO 520 (10 ECTS).
Students must obtain at least 16 ECTS from the following list, choosing at least two modules from each of the following two blocks. In addition, the module BIO 338 Introduction to Scientific Writing (0 ECTS, one day in September or February) is mandatory for all Biology Master’s students. The module should be taken before writing the Master’s Thesis. Furthermore, the students must discuss the modules selected with their supervisor and include them in the learning agreement.
Block 1, computational methods:
BIO 330 | 06 ECTS | Modelling in Biology |
BIO 369 | 02 ECTS | An introduction to computer programming and agent-based modelling using R |
BIO 390 | 03 ECTS | Introduction to Bioinformatics |
BIO 445 | 06 ECTS | Quantitative Life Sciences: from Infectious Diseases to Ecosystems |
BME 334 | 06 ECTS | Applied Statistics for Biomedicine and Biology: Advanced Linear Models |
ESC 201 | 05 ECTS | Einsatz der Computersimulation in den Naturwissenschaften I |
ESC 202 | 05 ECTS | Einsatz der Computersimulation in den Naturwissenschaften II |
MAT 141 | 05 ECTS | Lineare Algebra für die Naturwissenschaften |
STA 121 | 05 ECTS | Statistical Modeling |
STA 402 | 05 ECTS | Likelihood Inference |
STA 426 | 05 ECTS | Statistical Analysis of High- Throughput Genomic and Transcriptomic Data |
EEE 352 | 04 ECTS | Contemporary Analysis for Ecology |
Block 2, experimental methods:
BCH 304 | 06 ECTS | Protein Biophysics |
BCH 404 | 04 ECTS | Advanced Proteomics (Blockkurs ETHZ) |
BIO 254 | 03 ECTS | Functional Genomics |
BIO 321 | 06 ECTS | Modern Microscopy in Life Science Research |
BIO 325 | 06 ECTS | Systems dynamics in cell and developmental biology |
BIO 407 | 06 ECTS | Practical Microscopy |
BIO 416 | 03 ECTS | Microscopy |
BME 330 | 06 ECTS | Quantitative Biomedicine |
BME 331 | 06 ECTS | Tissue Imaging |
SPI 301 | 05 ECTS | Computergestütztes Experimentieren I |
SPI 302 | 05 ECTS | Computergestütztes Experimentieren II |
Other recommended modules:
BCH 420 | 02 ECTS | Advanced Protein Engineering |
BCH 630 | 03 ECTS | Protein crystallography and electron microscopy |
BIO 348 | 06 ECTS | Concepts in Modern Genetics |
EEE 326 | 06 ECTS | Principles of Evolution: Theory |
BIO 364 | 03 ECTS | The Physics of Life |
BME 361 | 06 ECTS | Randomised Trials |
ETHZ | 06 ECTS | Computational Systems Biology ETHZ 636-0007-00L |
ETHZ | 04 ECTS | Biophysics and Macromolecular Mechanisms ETHZ 551-1402-00L |
ETHZ | 04 ECTS | Modeling Course in Population and Evolutionary Biology ETH 701-1418-00L |
Recommended elective modules in the basic studies:
Highly recommended: MAT 141, STA 120
Also recommended: CHE 154, CHE 155, BCH 202, BCH 215, BIO 390, PHY 127
RESEARCH GROUPS LEADERS FOR MASTER THESES
Prof. Dr. | Aegerter Christof |
Prof. Dr. | Bascompte Jordi |
Prof. Dr. | Basler Konrad |
Prof. Dr. | Bodenmiller Bernd |
Prof. Dr. | Brunner Damian |
Prof. Dr. | Cavazza Tommaso |
Prof. Dr. | Greber Urs |
Prof. Dr. | Grossniklaus Ueli |
Prof. Dr. | Hahnloser Richard |
Prof. Dr. | Held Leonhard |
Prof. Dr. | Helmchen Fritjof |
Prof. Dr. | Kouyos Roger |
Prof. Dr. | Kurtcuoglu Vartan |
Prof. Dr. | Müller Anne |
Prof. Dr. | Pelkmans Lucas |
Prof. Dr. | Robinson Mark |
Prof. Dr. | Shimizu Kentaro |
Prof. Dr. | Trkola Alexandra |
Prof. Dr. | Von Mering Christian |
Prof. Dr. | Wagner Andreas |
Prof. Dr. | Zipfel Cyril |