Management and Engineering Mathematics

Renewable Energy and Energy Efficiency - Management, Engineering and Application, Master (PO-2026)

Unique module numberETechn-9420-M
Module number / codeW-UM-03
Module nameManagement and Engineering Mathematics
Type of moduleElective module
Learning outcomes, acquired competencies and qualification goals

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

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
Course typesVLmP+Ü (3 SWS); VLmP+Ü (2 SWS)
Content

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

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
Title of coursesNumerical Methods and Optimization
Project Management and Industrial Marketing
Teaching and learning methodslecture, exercise
Usabilitiy in other programs
Duration1 Semester
Frequency of module offerannually in winter semester
Teaching languageEnglish
Recommended (knowledge) prerequisites
Required prerequisites for participationnone
Student workload150 hours (75 h course attendance, 75 h self-study)
Required course worknone
Prerequisites for examination(s)none
Module examination(s)Examination P1: Numerical Methods and Optimization - midterm assignments (1/3), final written exam (90 min) (2/3)
Grade weighting P1: 60%
Examination P2: Project Management and Industrial Marketing - midterm assignments (1/3), final written exam (90 min) (2/3)
Grade weighting P2: 40%
Credit points (ECTS)5 cp
Teaching unitElektrotechnik
Responsible personDr. El Alimi
Lecturer(s)Souheil EL ALIMI, Sadok ZAYEN
Media usedblack board and beamer; introductory class meetings, power point presentations, discussions, practical exercises, case studies in groups; formal & interactive
Recommended 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
Comments

5 cp (3cp - Numerical Methods and Optimization; 2 cp - Project Management and Industrial Marketing)