Providing the students with methodological and application competences in the area of operations planning and management in the context of engineering problems, in order to enable them to identify types of problems, develop mathematical models that include the essential characteristics of those problems, and apply algorithms to generate solutions for the problems, and to perform a critical analysis of the solutions obtained.
1. Introduction to linear programming
2. Project planning and management
3. Inventory theory
5. Decision analysis
6. Introduction to queueing theory
Linear algebra, Probabilities and statistics, Calculus
Generic skills to reach
. Competence in analysis and synthesis; . Competence in organization and planning; . Competence to solve problems; . Capacity of decision; . Critical thinking; . Competence in understanding the language of other specialists; . Adaptability to new situations; . Creativity; . Competence in applying theoretical knowledge in practice; . Planning and managing; (by decreasing order of importance)
Teaching hours per semester
total of teaching hours
assessment implementation in 20172018 Assessment Mini Tests: 25.0% Exam: 75.0%
Bibliography of reference
- Hillier, F. S.; G. J. Lieberman. Introduction to Operations Research, McGraw-Hill, 2005 (8th ed.).
- Tavares, L. V., R. C. Oliveira, I. H. Themido, F. N. Correia. ?Investigação Operacional?, McGraw-Hill, 1996.
Theoretical and methodological concepts are presented in tutorial lectures, being motivated by real-world problems and illustrated with application examples.
Software (commercial and public domain) packages are used to obtain solutions to the mathematical models, thus freeing the students for the more creative tasks of problem formulation, model building and critical analysis of results.
- 6 mini-tests (one per each topic) [5/20]
- Exam [15/20]