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Statuss(Neaktīvs) Izdruka Arhīvs(0) Studiju plāns Vecais plāns Kursu katalogs Vēsture

Course title Mathematical Modelling
Course code Mate4012
Credit points (ECTS) 2.25
Total Hours in Course 60.75
Number of hours for lectures 8
Number of hours for laboratory classes 16
Date of course confirmation 12/02/2013
Responsible Unit Institute of Mathematics and Physics
 
Course developers
Mg. paed., lekt. Jeļena Koroļova

There is no prerequisite knowledge required for this course
 
Course abstract
Students study System modelling and analysis methods of Decision making, acquire practical skills in mathematical modelling with MS Excel optimization tool Solver, project management software MS Office Project and The Analytic Hierarchy Process (AHP).
Learning outcomes and their assessment
After completing the course student will have:
• knowledge about some quantitative methods for decision planning and making management with computer;
• skills – build quantitative model with MS Excel and MS Project for system research and decision making with AHP method; • competence – knowledge and ability for optimal and environmental safety decision planning and making process with IT.
Compulsory reading
1. Koroļova J. Lekciju konspekti, laboratorijas darbu uzdevumi un papildmateriāli. http://estudijas.llu.lv
2. Rau N. Optimization Principles: Practical Applications to the Operation and markets of the electric power Industry. Piscataway, New York: Wiley-IEEE Press, 2003. 360 p.
3. Moore J.H., Weatherford L.R. Decision modelling with Microsoft Excel. Upper Saddle River, New York: Prentice Hall, 2001. 1020 p. 4. Вентцель Е.С. Исследование операций: задачи, принципы, методология. Москва: Дрофа, 2004. 207 с.
Further reading
1. Peļņa M., Gulbe M. Optimizācijas uzdevumi ekonomikā. Rīga: Datorzinību centrs, 2003. 160 lpp.
2. Praude V., Beļčikovs J. Loģistika. Rīga: Vaidelote, 2003. 541 lpp. 3. Saaty T. The Analytic Hierarchy Process. New York: McGraw-Hill International, 1980, 287 p.
Periodicals and other sources
1. E-žurnāls Operation Research. [tiešsaiste]. Research Society of America ISSN 0030-364X [skatīts 10.12.2012.] Pieejams: http://or.journal.informs.org/