Management and Engineering Mathematics

Module Title Management and Engineering Mathematics
Module Type E
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