Management and Engineering Mathematics

Overview

Compentency

Opportunity to deal with constrained and unconstrained general energy optimization problem and understand the fundamentals of project management

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)