| Department of Natural Sciences | |||||||||||||||||
| Earliest Possible Year | BSc. 2 year to MSc. 2 year | ||||||||||||||||
| Duration | One block | ||||||||||||||||
| Credits | 7.5 (ECTS) | ||||||||||||||||
| Course Level | Joint BSc and MSc Of relevance to all levels. | ||||||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Each group writes a report in a journal paper format about their project and present their project orally at the end of the course. Questions related to the project are asked at the oral presentation. Weight: 100% (overall assessment of project as written and presented orally). pass/fail, internal examiner | ||||||||||||||||
| Organisation of Teaching | Primarily supervised project work, but also lectures and practical (computer) exercises. Report writing in journal article style and oral presentations. | ||||||||||||||||
| Block Placement | Block 2 Week Structure: A, Skemamodul underordnet | ||||||||||||||||
| Teaching Language | English | ||||||||||||||||
| Optional Prerequisites | Statistical Data Analysis 1 and Statistical Data Analysis 2 (recommended), or the equivalent. | ||||||||||||||||
| Restrictions | 30. The individual supervision in connection with the projects makes this upper limit neccesary. | ||||||||||||||||
| Areas of Competence the Course Will Address | |||||||||||||||||
| Competences within basic science: - comprehends the use of statistical models and analysis for adressing problems from applied sciences. - is able to evaluate the use of statistical methods for certain kinds of experiments and data. Competences within applied sciences: - is able to apply principles and methods of statistics to draw conclusions from certain kinds of experiments and investigations - is able to apply principles of reporting for communicating results from a statisticla analysis in journal style. Competences within ethics and values - | |||||||||||||||||
| Course Objectives | |||||||||||||||||
| The participants should obtain the experience of carrying out a statistical analysis, including the formulation of the problem, of a statistical model addressing the problem, the analysis of the data, formulation of the conclusions and communication of the results. Furthermore, the students should obtain some knowledge of different statistical models and analyses adapted to certain problem areas. | |||||||||||||||||
| Course Contents | |||||||||||||||||
| Each student carries out a statistical project (in a group) related to an experiment or a numerical investigation preferably delivered by one of the students in the group. A report is written in journal style and presented orally. Besides, a small number of statistical themes are taught, for example methods for analysis of repeated measures and cross-over trials, analysis of data with detection limit, analysis of count data or ordinal data, simulation methods, non-linear regression models, analysis of time series data, Markov models. There is also some discussion of statistical methods used in specific application areas such as bacterial counting, plant competition and human nutrition. The statistical themes as well as the application areas may vary somewhat from year to year and to some extent adapt to the interests of the students. | |||||||||||||||||
| Teaching And Learning Methods | |||||||||||||||||
| During the first half of the course lectures and practical (computer) exercises will run parallel with the initial part of the project work, while the second half will concentrate on the projects. In the last week the students will present their projects orally and give critique to one of the other projects. | |||||||||||||||||
| Course Litterature | |||||||||||||||||
| Will be given later (see course homepage). | |||||||||||||||||
| Course Coordinator | |||||||||||||||||
| Helle Sørensen, helle@dina.kvl.dk, Department of Natural Sciences/Statistik, Phone: 35332363 Ib Michael Skovgaard, ims@life.ku.dk, Department of Natural Sciences/Statistik, Phone: 35332340 | |||||||||||||||||
| Study Board | |||||||||||||||||
| Study Committee NSN | |||||||||||||||||
| Course Scope | |||||||||||||||||
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