APPLIES TO ACADEMIC YEAR 2012/2013
GRA 6035 Mathematics|
Responsible for the course
Department of Economics
According to study plan
Language of instruction
In finance and economics, the mathematical language and techniques of mathematical analysis are extensively used.
The mathematical requirements of a graduate student go beyond the material usually taught in undergraduate courses.
This course introduces the students to the most frequently used subjects.
After completing the course, the student will be familiar with several mathematical methods and techniques that are used in advanced courses in economics and finance. The student will have developed skills in solving relevant problems.
Methods and techniques from a standard mathematics course at Bachelor level and linear algebra at the level of Preparatory course for MSc in Business and Economics, are assumed well known.
Sydsæter, Knut ... [et al.]. 2008. Further mathematics for economic analysis. 2nd ed. Financial Times/Prentice-Hall. Selected parts from chapters 1, 2, 3, 5, 6 and 11
During the course there may be hand-outs and other material on additional topics relevant for the course and the examination.
Sydsæter, Knut and Peter Hammond. 2012. Essential mathematics for economic analysis. 4th ed. Pearson Education
- Linear algebra, with emphasis on matrices
- Optimization in several variables, with different types of constraints
- Differential equations
- Difference equations
It's Learning. Mathematical software may be used in lectures for illustration purposes.
Learning process and workload
A course of 6 ECTS credits corresponds to a workload of 160-180 hours. The course is taught through lectures and problem assignments. In addition there will be problem sessions. Please see syllabus (on It's learning) for further details.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on the course homepage/It's learning or text book.