Forudsætninger/Anbefalede forudsætninger for at deltage i modulet

The module builds on knowledge obtained by the modules in Mathematical Analysis, Probability Theory, Statistical Inference for Linear Models from the BSc programmes.

Modulets indhold, forløb og pædagogik

Læringsmål

Viden

• quantitative software development and computational statistics
• manufacturing planning and control including inventory management and material requirements planning
• optimisation of discrete problems
• heuristics and meta-heuristics
• relational databases and their usage

Færdigheder

• implement numerical algorithms
• formulate discrete optimisation problems
• chose the appropriate solution strategy to a number of discrete optimisation problems
• perform basic database operations

Kompetencer

• understand the principles of inventory management
• understand differences in solutions strategies
• apply heuristics and meta-heuristic methods to solve complex problems
• understand relational data structures
• understand the limitations, advantages and disadvantages of relational data structure

Omfang og forventet arbejdsindsats

The module is 5 ECTS equivalent to a workload of 137,5 hours.

Eksamen

Prøver

Prøvens navn	Computational Statistics and Operational Research
Prøveform	Skriftlig eller mundtlig Individual oral or written exam, or individual ongoing during the course. In order to participate in the course evaluation, students must have actively participated in course progress by way of one or several independent oral and/or written contributions.
ECTS	5
Bedømmelsesform	Bestået/ikke bestået
Censur	Intern prøve
Vurderingskriterier	Vurderingskriterierne er angivet i Universitetets eksamensordning

Yderligere informationer

Please contact Study Board of Mathematical Sciences - studyboard@math.aau.dk