Description:
The course begins with an introduction to engineering economics followed by an introduction to the mathematical principles behind optimization problems formulated using Linear Programming and Mixed Integer Linear Programming. Mathematical models using these principles are widely applied in both technical and techno-economic engineering software. On the basis of lectures and supervised workshop sessions, the student will continue to develop and program an original model using techno-economic optimization techniques, which is relevant to the student’s own research project. Selected software will be introduced and practiced as recommended options for state-of-the-art analyses.
Intended learning outcomes:
- describe the theory behind the use of economics in engineering
- describe key mathematical methods (Linear Programming and Mixed Integer Linear Programming) and their use in dealing with engineering optimization problems
- develop an original model relevant to the student’s own research subject for the purpose of economic analysis and optimization
- design and optimize an engineering project subject to technical and economic conditions
- analyze and assess the economic feasibility of an engineering project
Chart: Main course elements
Prerequisites: Basic engineering level mathematics and basic modeling techniques.
Link: http://www.et.aau.dk/phd/phd-courses/
Organizer: Morten Boje Blarke (mbb@et.aau.dk)
Lecturers:
Morten Boje Blarke (mbb@et.aau.dk), Christian Milan (cmi@et.aau.dk), Mads Pagh Nielsen (mpn@et.aau.dk)
ECTS: 4
Time: 3-6 March, 2014
Place: Aalborg University, Pontoppidanstræde 101
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline: 10 February, 2014