| 1 | Astrochemistry (21/22) | WMAS018-05 |
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| 2 | Caput Algebra and Geometry 20/21 | WMMA027-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. J. Top | | Docent(en) | prof. dr. J. Top | | Onderwijsvorm | Hoorcollege (LC) | | Toetsvorm | Mondeling tentamen (OR) | | ECTS | 5 |
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| 3 | Caput mathematical physics (19/20) | WMMA022-05 |
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| 4 | Contemporary Statistics with Applications (20/21) | WMMA015-05 |
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| 5 | Convex Optimization (20/21) | WMMA006-05 |
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| 6 | Cosmic Star Formation History (Capita Selecta, 21/22) | WMAS003-03 |
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| 7 | Cosmic structure formation (20/21) | WMAS004-05 |
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| 8 | Cosmic Web (Capita Selecta, 21/22) | WMAS013-03 |
The large scale distribution of galaxies and matter defines an intricate network of dense compact clusters, filaments, sheets and large voids. This web is one of the main fossils of the cosmic structure formation process, and mining its information content has become an important cosmological activity.
In this course we will start with an observational overview, based on galaxy redshift surveys, quasar absorption lines, and gravitational lensing studies. Subsequently we will treat extensions of the Zel'dovich formalism, in particular adhesion theory. We will zoom in on the dynamical evolution of both clusters and voids. Armed with this insight, we will be able to adress the theoretical framework of Cosmic Web theory, including extensions of the Press schechter theory involving anisotropic collapse of clusters and other features and the hierarchical evolution voids. Two lectures will be devoted to the analysis tools that have been developed over the past decade to analyze complex spatial patterns. These include feature measures, Minkowski functionals, Morse theory and the skeleton, the Multiscale Morphology Filter, and tessellation-based tools for detecting filaments and voids. One particular example of their application will address the question of whether we can find remnants of the galaxy rotation origin in their alignment with filaments and walls. In the final week, we will turn to the study of the gaseous web, both the Lya forest and the WHIM. |
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| 9 | Dynamics of Galaxies (21/22) | WMAS014-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. A. Helmi | | Docent(en) | prof. dr. A. Helmi | | Onderwijsvorm | Hoorcollege (LC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 10 | Flyway Ecology (20/21) | WMEV010-05 |
In three weeks students are introduced in the field of flyway ecology and shown the boundaries of our knowledge in this field. To experience those boundaries and to be inspired to create research ideas that will cross those boundaries, students and docents will closely work together to understand and synthesize theory and methodology. Avian migration will be placed in the context of
(a) seasonal connections and
(b) global connections of ecosystems.
The course materials will encompass global research programmes on these phenomena. The course will be a mixed of lectures, workshops and reading/presentation assignments. The first week of the course mostly consists of classroom lectures. The second week involves a retreat to immerse the students in an inspiring setting, with 4-5 docents where classroom lectures will be alternated with workshops on methodological advances. In the third
week the students will write a research proposal in the field of flyway ecology, which includes a literature search.
The classroom lectures will cover migration theory on the level of the individual and on the level of ecosystems, including: annual cycles; seasonal changes in body composition (fuelling the flights); extreme migrations; weather and wind effects on migration; stopover habitats and food resources; controlling mechanisms of migration schedules; sex and age differences in migration;
responses to anthropogenic change; demography and population regulation; population consequences of mass mortalities during migration; phenotypic flexibility and facilities for rapid change; the evolution of migration systems.
The workshops will cover practical themes and methodological applications such as tracking free-living animals, estimating annual and seasonal survival, measuring the ecological context of variation in survival, migrants as integrative sentinels, the societal impact of flyway ecology, and applications in nature conservation. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. T. Piersma | | Docent(en) | prof. dr. ir. C. Both J.R. Conklin, PhD.PhD. E.M. El- Hacen R.A. Howison, MSc. R.H.G. Klaassen T. Lok A.H.J. Loonstradr. J. Ouwehandprof. dr. T. Piersma E. Rakhimberdiev, PhD. M.A. Verhoeven, MSc.dr. Y.I. Verkuil | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Werkcollege (T) | | Toetsvorm | Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 5 | | Entreevoorwaarden | The course unit assumes prior knowledge acquired from Ecological Interactions, Evolutionary Ecology and Animal Ecology Research or comparable courses at other universities, equivalent to the RUG BSc degree programme.
The course is open to students in the Ecology and Evolution MSc programme and Biology MSc programme, and other (international) MSc programmes. Desirably students have advanced understanding of general ecological and evolutionary theory and applications, including understanding of ecological interactions and evolutionary ecology. The quality and motivation of the students is key to the success and impact of the course.
Max. 20 students are participating in the course unit. The course unit is an elective in the Ecology and Evolution MSc programme and in MSc Biology.
The course unit prepares and supports students for MSc research projects and/or PhD research in which the learning objectives attained are required as prior knowledge. | | Opmerkingen | Max 20 students
This course was registered last year with course code WMLS15001 |
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| 11 | Geometry and Differential Equations (20/21) | WMMA017-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | A.V. Kiselev | | Docent(en) | A.V. Kiselev | | Onderwijsvorm | Hoorcollege (LC), Werkcollege (T) | | Toetsvorm | Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 12 | Geometry and Topology (19/20) | WMMA018-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | A.V. Kiselev | | Docent(en) | A.V. Kiselev | | Onderwijsvorm | Hoorcollege (LC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 13 | HI in Galaxies (Capita Selecta, 21/22) | WMAS009-03 |
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| 14 | High-energy Astrophysics (20/21) | WMAS006-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. P. Dayal | | Docent(en) | dr. P. Dayal | | Onderwijsvorm | Hoorcollege (LC) | | Toetsvorm | Presentatie (P) | | ECTS | 5 |
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| 15 | Interferometry (Capita Selecta, 20/21) | WMAS015-03 |
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| 16 | Mathematics and its Environment | WMMA013-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. A. Mali | | Docent(en) | dr. A. Mali | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 17 | Meta-analyses in Ecology (20/21) | WMBY013-05 |
Generalization of ecological research by the synthesis of experiments and data from the literature has proven to be an important modern complement to empirical ecological research. Instead of focusing on an indefinite number of idiosyncratic exceptions meta-analysis emphasizes general insights and promotes common ecological understanding.
Understanding the function of biodiversity is an emerging ecological topic related to ecosystem functioning. It facilitates predicting consequences of biodiversity loss for ecosystem services by the global biodiversity crisis.
The course will:
1) give an overview on the importance of species diversity and species functional traits for the function of important community properties.
2) teach to use different tools in ecological meta-analysis.
3) perform a meta-analysis, including tests of own hypothesis, either using provided datasets of experiments testing the function of biodiversity for ecosystem performance (B~F experiments), or using own data collected from recent literature.
The course is given together with the University of Oldenburg, and is arranged around three workshops. The first workshop (in Wilhelmshaven, Germany) contains theoretical sections on biodiversity. The second workshop is on tools used to extract, handle and analyze large data sets using meta-analyses. There will be a strong focus on recent literature and the students are expected to analyze this literature for new exciting questions. In the third workshop (in Groningen, The Netherlands) the results will be presented at a mini-symposium.
The course is run over ca. 8 weeks during which the main effort will be to produce your own ecological meta-analysis! Thus, the course can be run in parallel with other master projects |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. B.D.H.K. Eriksson | | Docent(en) | prof. dr. B.D.H.K. Eriksson J. Hillebrand | | Onderwijsvorm | Bijeenkomst (S), Hoorcollege (LC), Opdracht (ASM), Werkcollege (T) | | Toetsvorm | Presentatie (P), Verslag (R) | | ECTS | 5 | | Entreevoorwaarden | Bachelor in Ecology or Marine Biology. This course assumes prior knowledge acquired from Biostatistics N2 (WLB07093) or similar course that learns the basics in R. | | Opmerkingen | Max. 8 students.
Location: Department of Marine Benthic Ecology and Evolution, Centre for Ecological and Evolutionary Studies, at the Linneausborg in Groningen and at the Institute for Chemistry and Biology of the Marine environment (ICBM) in Wilhelmshaven
Costs: There will be extra costs in connection with travelling to Wilhelmshaven (ca 20 Euro).
Study load: 140 uur
This course was registered last year with course code MLMB01A |
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| 18 | Micromechanics | WMPH012-05 |
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| 19 | Modeling and identification (19/20) | WMMA007-05 |
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| 20 | Num. Bifurcation Analysis of Large Scale Syst (MM,20/21) | WMMA014-08 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. ir. F.W. Wubs | | Docent(en) | | | ECTS | 8 |
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| 21 | Practical Bioinformatics for Biologists | WMBY008-05 |
Practical Bioinformatics for Biologists (PBfB) introduces students to general computational tools in order to enable to design and execute efficient computations. PBfB presents a broad range of open-source, free and flexible computational tools applicable to geneticists, molecular biologists, ecologists, oceanographers, physiologists, or anyone with an interest or need for bioinformatics in their research. PBfB emplhasizes the practical application of bioinformatic methods to solve real-life analyses.
PBfB covers data -centered computing in a Unix/Linux environment. PBfB introduces the basics of a 'nix environment, such as; remote installation and execution of software. Students will be familiar with command line tools to explore and analyze data as well as the use of scripting languages such as Python and R to (a) code custom analyses and (b) to design effective pipelines of existing software. The use of databases and retrieval of data from public on-line databases will be introduced. Data visualization techniques, such as GIS tools, will be introduced using the statistical language R.
Topics addressed in PBfB will employ practical example from different research fields, e.g., Next Generation Sequencing (NGS) data in genetics and molecular biology, as well as remote sensing and oceanographic data widely used in spatial ecological and evolutionary biology.
The course consists of short lectures featuring new concepts and examples as well as practical computer exercises and individual assignments. In the last week, students will conduct a project assignment in small groups implementing the use of skills acquired during the course, aimed at solving real-life analyses. Students will present their pipeline and results to the class in an oral presentation during the last days of the course. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. P.J. Palsboll | | Docent(en) | prof. dr. P.J. Palsboll | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Practisch werk (PR) | | ECTS | 5 | | Entreevoorwaarden | No prior knowledge of bioinformatics is required for the course, but students are expected to have elementary computer skills and be comfortable with a computer. | | Opmerkingen | The course is highly recommended for students planning to take other, computational courses in the Master program, such as Meta-analyses in Ecology (WMBY013-05), Principles of Population Genetics in Natural Populations (WMMB005-05), Practical Modeling for Biologists (WMBY009-05), Mathematical Models in Ecology and Evolution (WMEV013-06), and in general for students in evolutionary biology and genetics/genomics.
Students are expected to bring their own personal laptops for the course. In the case a student would not have a laptop, one can be provided during the course.
This course was registered last year with course code WMLS15005 |
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| 22 | Star and planet formation (20/21) | WMAS017-05 |
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| 23 | Statistical genomics (19/20) | WMMA008-05 |
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| 24 | Systems and Control (Mastermath, 19/20) | WMMA003-06 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. S. Trenn | | Docent(en) | | | ECTS | 6 |
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