Management and Engineering Mathematics
Overview
Compentency | Opportunity to deal with constrained and unconstrained general energy optimization problem and understand the fundamentals of project management |
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Module type | elective module |
Semester | winter |
Site | Monastir |
Language | English |
Workload | 75 hours course attendance; 50 hours self-study |
Credits points | 5 |
Recommended qualifications | none |
Numerical Methods and Optimization
Learning Outcome
After the successful participation in the course Numerical Methods and Optimization the students are able to:
- develop and use numerical simulation codes of flow and heat and mass transfer
- optimize general energy problem
Content
- Numerical methods: discretization and general formulation of flow phenomena and transfers; finite volume methods: solving diffusion and flow problems, resolution of convection-diffusion problems; finite element methods: approximation by finite elements, various types of elements, integral formulation;finite element methods based on finite volumes.
- Optimization: optimization problem, constrained and unconstrained optimization
Details
- Lecturer: Sassi Ben Nasrallah, Souheil El Alimi
- Teaching method: lecture, exercise
- SWS: 3
- Credit points: 3
- Examination: midterm assignments (1/3); final exam (2/3)
Project Management and Industrial Marketing
Learning Outcome
After the successful participation in the course Project Management and Industrial Marketing the students are able to:
- apply the selection criteria of project management
- understand and acquire the necessary tools’ aspects of industrial marketing
Content
- Project management fundamentals: project planning
- Software implementation for the project management
- Definition of industrial markets
- Marketing strategy
- The marketing mix
- Sales force management and sales teams, cultural differences, the cost of the sales team and marketing contribution
Details
- Lecturer: Souheil Bechir
- Teaching method: lecture, exercise
- SWS: 2
- Credit points: 2
- Examination: midterm assignments (1/3); final exam (2/3)