Mark Robinson: Catalogue data in Spring Semester 2015 |
| Name | Prof. Dr. Mark Robinson (Professor Universität Zürich (UZH)) |
| Address | Universität Zürich Winterthurerstrasse 190 Inst. Molecular Life Sciences 8057 Zürich SWITZERLAND |
| Telephone | 044 635 48 48 |
| mark.robinson@math.ethz.ch | |
| Department | Mathematics |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics  | 0 credits | 1K | M. Kalisch, P. L. Bühlmann, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl, S. van de Geer | |
| Abstract | 5 to 6 talks on applied statistics. | ||||
| Learning objective | Kennenlernen von statistischen Methoden in ihrer Anwendung in verschiedenen Gebieten, besonders in Naturwissenschaft, Technik und Medizin. | ||||
| Content | In 5-6 Einzelvorträgen pro Semester werden Methoden der Statistik einzeln oder überblicksartig vorgestellt, oder es werden Probleme und Problemtypen aus einzelnen Anwendungsgebieten besprochen. 3 bis 4 der Vorträge stehen in der Regel unter einem Semesterthema. | ||||
| Lecture notes | Bei manchen Vorträgen werden Unterlagen verteilt. Eine Zusammenfassung ist kurz vor den Vorträgen im Internet unter http://stat.ethz.ch/talks/zukost abrufbar. Ankündigunen der Vorträge werden auf Wunsch zugesandt. | ||||
| Prerequisites / Notice | Dies ist keine Vorlesung. Es wird keine Prüfung durchgeführt, und es werden keine Kreditpunkte vergeben. Nach besonderem Programm. Koordinator M. Kalisch, Tel. 044 632 3435 Lehrsprache ist Englisch oder Deutsch je nach ReferentIn. Course language is English or German and may depend on the speaker. | ||||
| 551-0364-00L | Functional Genomics | 5 credits | 3V + 1U | K. Bärenfaller, C. von Mering, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, N. Zamboni | |
| Abstract | Functional genomics is key to understanding the dynamic aspects of genome function and regulation. Functional genomics approaches use the wealth of data produced by large-scale DNA sequencing, gene expression profiling, proteomics and metabolomics. Today functional genomics is becoming increasingly important for the generation and interpretation of quantitative biological data. | ||||
| Learning objective | Functional genomics is key to understanding the dynamic aspects of genome function and regulation. Functional genomics approaches use the wealth of data produced by large-scale DNA sequencing, gene expression profiling, proteomics and metabolomics. Today functional genomics is becoming increasingly important for the generation and interpretation of quantitative biological data. Such data provide the basis for systems biology efforts to elucidate the structure, dynamics and regulation of cellular networks. | ||||
| Content | The Functional Genomics course builds on the training and information students have received in the Bioinformatics I and II courses (prerequisites). The curriculum of the Functional Genomics course emphasizes an in depth understanding of new technology platforms for modern genomics and advanced genetics, including the application of functional genomics approaches such as advanced microarrays, proteomics, metabolomics, clustering and classification. Students will learn quality controls and standards (benchmarking) that apply to the generation of quantitative data and will be able to analyze and interpret these data. The training obtained in the Functional Genomics course will be immediately applicable to experimental research and design of systems biology projects. | ||||
| Prerequisites / Notice | The Functional Genomics course will be taught in English. For the exericse, the presentation and discussion of original research articles will also be in English. Grading The final grade for this course will be based on a written exam, also a grade for the exercise based on the presentation and discussion of an original research paper. | ||||