DRE 7017 Mathematics, Ph.D.
DRE 7017 Mathematics, Ph.D.
This is the course description for fall 2016. Please note that the course will be revised before it is offered again.
Economic analysis is based on mathematical concepts and tools like functions
and optimization. This intensive course is designed to enhance the
mathematical knowledge of course participants in areas which are particularly
relevant for doctoral studies of economics and finance.
The course is designed for students in the following programmes:
Ph.D. specialisation in Economics
Ph.D. specialisation in Finance
After completing the course, the student will be familiar with basic mathematical tools for economic analysis.
The student will have developed skills in solving relevant problems.
The course will be based around the following topics:
- Sets and point set topology
- Vectors and linear algebra
- Real analysis in one and several variables
- Unconstrained and constrained optimization
- Correspondences and fixed points
- Differential equations and dynamical systems
- Control theory in continuous and discrete time
Mathematical software may be used during lectures for illustration purposes.
Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.
| Assessments |
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Exam category: Submission Form of assessment: Written submission Invigilation Weight: 100 Grouping: Individual Support materials:
Duration: 3 Hour(s) Exam code: DRE70171 Grading scale: ECTS Resit: All components must, as a main rule, be retaken during next scheduled course |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 4 ECTS credit corresponds to a workload of at least 110 hours.