Management and Engineering Mathematics

Module Title Management and Engineering Mathematics
CompetencyOpportunity to deal with constrained and unconstrained general energy optimization problem and understand the fundamentals of project management
Courses Title Teaching Method SWS Credits Performance requirements/Examination
 Numerical Methods and Optimization
lecture, exercise 3 3
  • midterm assignments (1/3)
  • final exam (2/3)
Project Management and Industrial Marketing lecture, exercise 2 2
  • midterm assignments (1/3)
  • final exam (2/3)
Semester winter
Responsible El Alimi
Site Monastir
Lecturer(s) Sassi Ben Nasrallah
Souheil El Alimi
Souheil Bechir
Language English
Workload 75 hours course attendance
50 hours self-study
Credits 5
Recommended Qualifications -
Learning Outcomes a) Numerical Methods and Optimization
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.
b) Project Management and Industrial Marketing
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.
Contents a) Numerical Methods and Optimization
  • 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.
b) Project Management and Industrial Marketing

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.
Media Black board and beamer; introductory class meetings, power point presentations, discussions, practical exercises, case studies in groups; formal &interactive.
Literature
  • Suhas. V. Patankar, Numerical Heat Transfer and Fluid Flow
  • Singiresu S. Rao. Engineering Optimization
  • RRMILA DIWEKAR, Introduction to applied optimization, Springer
  • Scott Berkun, Making Things Happen: Mastering Project Management
  • A Guide to the Project Management Body of Knowledge, Project Management Institute