| Department of Large Animal Sciences | |||||||||||||||||
| Earliest Possible Year | |||||||||||||||||
| Duration | 1 semester | ||||||||||||||||
| Credits | 9 (ECTS) | ||||||||||||||||
| Course Level | MSc The course is only offered in even-numbered years (2004, 2006 etc.). | ||||||||||||||||
| Examination | oral examination Aid allowed Description of Examination: 13-point scale, internal examiner Description of Examination: | ||||||||||||||||
| Organisation of Teaching | Lectures: 1 course module per week Practicals: 4 hours weekly Only offered in even years | ||||||||||||||||
| Block Placement | By appointment | ||||||||||||||||
| Teaching Language | English | ||||||||||||||||
| Optional Prerequisites | 019711 Regression Analysis 095311 Production Economics 095421 Either 095421 or 095311. A course in Animal Science in addition to those | ||||||||||||||||
| Course Objectives | |||||||||||||||||
| After attending the course students should be able to participate in the development of new tools for management and control. During the course methods for solving the following tasks are studied: - registration and filtering of data to be used in planning and control - definition and evaluation of management decisions and strategies - quantifying the effects of unsatisfactory results - visualisation and presentation of plans and results | |||||||||||||||||
| Course Contents | |||||||||||||||||
| Students are expected already to have basic knowledge of animal production in at least one animal species. This knowledge may either originate from the course Practical Farm Management or from a specific course in animal science. Initially, the lectures focus on the tasks mentioned under "objectives". The tasks will be identified and central elements are discussed and illustrated by examples. Relevant methods are introduced and compared. Later on, the methods (data filtering and production monitoring, dynamic programming and Markov decision processes, simulation, Bayesian networks and influence diagrams, linear programming) will be in focus. Each method is described and discussed in relation to the tasks. | |||||||||||||||||
| Teaching And Learning Methods | |||||||||||||||||
| In connection with lectures, the students are expected to participate actively in mutual discussions. The lectures will be concentrated on the first half part of the course during where there will be rather few practicals. During the second half, the main activity will be practicals. In the beginning, practicals will directly support the lectures. Later, the practicals are used for development of a simple implementation of one of the methods presented during the course in order to solve a management problem chosen by the student. Based on that implementation a report is written as a basis for the project evaluation. The report may be written in minor groups of 2 or three students. The maximum size of the report is 15 pages per student. | |||||||||||||||||
| Course Litterature | |||||||||||||||||
| Kristensen, A.R. & E. Jørgensen. 1996. Textbook Notes of Herd Management: Basic Concepts. Dina Notat No. 48. Jørgensen, E. (2001). Textbook notes of herd management: From registration to information.3rd. ed. Dina Notat No. 51. Montgomery, D.C.1996. Introduction to Statistical Quality Control, 3rd Ed., John Wiley & Sons. West, M. & J. Harrison. 1997. Bayesian Forecasting and Dynamic Models, 2nd Ed, Springer. Jensen, F.V. 2001. Bayesian Networks and Decision Graphs, Springer. Jørgensen, E. 1999. Monte Carlo simulation techniques. Dina Notat No. 53, 2nd Ed. Kristensen, A. R. 1996. Textbook Notes of Herd Management: Dynamic programming and Markov decision processes. Dina Notat No. 49. Verstegen, J. A. A. M., Huirne, R. B. M. Dijkhuizen, A. A., & Kleijnen, J. P. C. 1995. Economic value of management information systems in agriculture: a review of evaluation approaches. Computers and Electronics in Agriculture13, 273-288. Toft, N. 1997. A note on Modeling and Sensitivity Analysis in Linear Programming. | |||||||||||||||||
| Course Coordinator | |||||||||||||||||
| Anders Ringgaard Kristensen, ark@dina.kvl.dk, Department of Large Animal Sciences/Production and Health, Phone: 35333091 | |||||||||||||||||
| Study Board | |||||||||||||||||
| Study Committee NSN | |||||||||||||||||
| Course Scope | |||||||||||||||||
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