Block
Theory of Endogenous Growth [T-WIWI-102785]
Type
Written examinationCredits
4.5Recurrence
Each winter termVersion
1Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Module Innovation and Growth | Industrial Engineering and Management (M.Sc.)
- Module Growth and Agglomeration | Industrial Engineering and Management (M.Sc.)
- Module Innovation and Growth | Economics Engineering (M.Sc.)
- Module Growth and Agglomeration | Economics Engineering (M.Sc.)
- Module Innovation and Growth | Information Systems (M.Sc.)
- Module Growth and Agglomeration | Information Systems (M.Sc.)
- Module Innovation and Growth | Information Engineering and Management (M.Sc.)
- Module Growth and Agglomeration | Information Engineering and Management (M.Sc.)
- Module Innovation and Growth | Economathematics (M.Sc.)
- Module Growth and Agglomeration | Economathematics (M.Sc.)
Events
| Course Number | Name | SWS | Type |
|---|---|---|---|
| WS20 2561503 | Theory of endogenous growth | 2 | lecture (V) |
| WS19 2561503 | Theory of endogenous growth | 2 | lecture (V) |
| WS20 2561504 | 1 | exercise (Ü) | |
| WS19 2561504 | 1 | exercise (Ü) |
Exams
| Course Number | Name | Appointments |
|---|---|---|
| SS20 7900105 | Theory of Endogenous Growth | |
| SS20 7900105 | Theory of Endogenous Growth |
Competence Certificate
The assessment consists of a written exam (60 min) according to Section 4(2), 1 of the examination regulation. The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.
Students will be given the opportunity of writing and presenting a short paper during the lecture time to achieve a bonus on the exam grade. If the mandatory credit point exam is passed, the awarded bonus points will be added to the regular exam points. A deterioration is not possible by definition, and a grade does not necessarily improve, but is very likely to (not every additional point improves the total number of points, since a grade can not become better than 1). The voluntary elaboration of such a paper can not countervail a fail in the exam.
Prerequisites
None
Recommendation
Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. In addition, an interest in quantitative-mathematical modeling is required.
Annotation
Due to the research semester of Prof. Dr. Ingrid Ott, the course is not offered in the winter term 2018/19.