FE404 Mathematics for Renewable Energy
Course description for academic year 2021/2022
Contents and structure
The class discusses mathematical topics and methods particular relevant for renewable energy. There are: differentiation, integration, linear optimization, differential equations in systems relevant for renewable energy, linear equations and Gaussian elimination.
Learning Outcome
Knowledge
Students gain knowledge on the following mathematical topics: differentiation, integration, linear optimization, differential equations in systems relevant for renewable energy, Gaussian elimination.
Skills
Students are able to solve problems that are relevant to renewable energy, differentiation, integration, linear optimization, differential equations, Gaussian elimination.
Competence
Students have competence in how to use differentiation, integration, linear optimization, differential equations in renewable energy, Gaussian elimination.
Entry requirements
None
Recommended previous knowledge
MA415 and FE405
Teaching methods
Lectures and exercises.
Compulsory learning activities
Twelve (12) written exercises connected to the course's mathematical themes. Ten of twelve exercises must be approved (passed) before one may take the exam.
Assessment
Written school exam, 4 hours.
Grading scale A-F, where F represents a fail.
Examination support material
Basic calculator (non-programmable)
More about examination support materialCourse reductions
- FE400 - Energi, teknologi og miljø - Reduction: 6 studypoints