Courses Master Display 2019-2020

Course Description To PDF
Course title Operations Research Applications
Course code EBC4187
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
5 15-4-2020 7-6-2020 C
Level Advanced
Coordinator Andre Berger
For more information: a.berger@maastrichtuniversity.nl
Language of instruction English
Goals
Students learn how to apply general techniques from mathematical programming and combinatorial optimisation to specific classes of problems as well as to real-life applications in these areas. This includes the mathematical analysis of approximation algorithms and heuristics for these applications. Students will learn how to read state-of-the-art research articles, to understand the technical details, and to give presentations on the subjects.
Description
This course is devoted to mathematical models and solution methods in logistics and telecommunication. Based on recent articles from scientific journals, we review classical as well as new optimisation models from problem domains such as facility location, vehicle routing, personnel scheduling, network design, traffic network analysis, railway planning, optical telecom networks, frequency planning for GSM-networks, and site location in UMTS. These problems are analysed with respect to solvability, complexity, and approximability. In particular, exact and approximation algorithms as well as heuristic techniques for these problem are studied. Students will learn how techniques learned from the courses "Algorithms and Optimisation" and "Modelling and Solver Technology" are applied to real world problems, and how these techniques can be refined in order to address specific problem structures.
Literature
Recent research articles and lecture notes will be provided.
Prerequisites
Students have to be familiar with the subjects of the Master courses "Algorithms and Optimisation" and "Modelling and Solver Technology" from the Master programme Econometrics and Operations Research. This includes at least basic algebra, linear programming, problems and techniques from combinatorial optimisation and complexity theory. Programming abilities in C++ and CPLEX.
Teaching methods PBL / Presentation / Lecture / Assignment / Papers / Groupwork / Research
Assessment methods Attendance / Participation / Assignment / Presentation
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research - Operations Research Year 1 Compulsory Course(s)
Master Econometrics and Operations Research - Econometrics Elective Course(s)
Master Econometrics and Operations Research - Mathematical Economics Elective Course(s)
Master Econometrics and Operations Research - No specialisation Elective Course(s)
Master Econometrics and Operations Research - Operations Research Compulsory Course(s)