CC 301: Analysis

The course “Analysis” introduces the most important mathematical methods necessary to solve optimization problems.

  • Propositional logic
  • Sets, relations, functions
  • Functions of multiple variables and their characteristics (functional limits, continuity, differentiability, partial derivatives)
  • Mathematical tools (chain rules, contour lines, implicit differentiation, approximations, homogeneous functions, differentials)
  • Multivariate optimization without constraints
  • Multivariate optimization under constraints

Learning outcomes
Students have an intuitive understanding about characteristics of relations and (multivariate) functions and can use the above-mentioned mathematical tools. Particularly, they are able to solve and graphically interpret multivariate optimization problems with and without constraints. Students understand and are able to explain what the learned methods are needed for as well as why, when and how they work.

Necessary prerequisites

Recommended prerequisites

Forms of teaching and learningContact hoursIndependent study time
Lecture2 SWS6 SWS
Exercise class2 SWS4 SWS
ECTS credits5
Graded yes
Form of assessmentWritten exam (90 min.)
Restricted admissionno
Further information
Performing lecturer
Steffen Habermalz, Ph.D.
Steffen Habermalz, Ph.D.
Frequency of offeringFall semester
Duration of module 1 semester
Range of applicationB.Sc. Bus. Adm., other Bachelor programs (depending on respective study regulations) [9]
Preliminary course work
Program-specific Competency GoalsCG 1