EBA 0910 Mathematics for Business Analytics
EBA 0910 Mathematics for Business Analytics
This is a basic course in mathematics. The course is a compulsory part of the Bachelor of Science in Business Analytics. The course will be taught during the first year over two semesters. It consists of an introductory part in the autumn semester, and an advanced part in the autumn and spring semester.
Please note!
Due to the Corona situation, BI Norwegian Business School has decided that the exam in this course will be changed in the spring of 2020. The course this spring will be evaluated with a home exam which counts 100%. This will be assessed as pass / fail. No one will get a letter grade.
All students who have registered for the exam in this course in spring 2020 will be registered for this new course and exam code. This also applies to re-sit students.
Re-sit students who prefer to re-sit for the original exam codes, will be able to do so in the fall of 2020, provided the Corona situation is under control. The spring exam will not count as an exam attempt, and will also be free of charge for students. No continuation exam will be offered for this spring's home exam.
After completing the course, the student will have;
- Acuired a broad understanding of concepts, methods and theories in matematics.
- A broad knowledge of algebra, functions in one or several variables, financial mathematics, derivation and integration, and linear algebra.
- Specialized knowledge of how mathematical models and methods can be used in economics and finance.
After completing the course, the student will be able to:
- Analyze quantituative problems using mathematical concepts, and be able to use mathematical methods to solve these problems.
- Assess solution strategies, and be able to carry out the necessary computations correctly and precisely.
- Give mathematical arguments to justify his conclusions, and be able to give written answers that explains the method used and the obtained results to the reader.
- See connections between mathematics and other subjects, especially economics and finance.
After completing the course, the student will be able to reflect upon central assumptions for the models and theories used. The student will be able to reflect upon the results obtained, and critically assess if they are reasonable.
- Elementary algebra
- Mathematics of finance and series
- Functions and graphs
- Exponential and logarithmic functions
- Derivation with applications
- Integration with applications
- Linear algebra and matrix algebra
- Functions of several variables
- Optimization in several variables
The course is lectured over one year and consists of an introductory part (36 hours) and an advanced part (48 hours).
For each week, there will be a work program consisting of a problem set and reading assignments. The student must learn the material presented in the reading assignments and work through the problem set. Some of the problems will be reviewed in plenary sessions.
By allocating some time in class to short assignment related to new topics, students will be activated and learning objectives achieved.
Wolfram Alpha is used in lecture to illustrate taught material. Problem sets will include problems the students should solve using python.
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Higher Education Entrance Qualification.
Basic knowledge of mathematics equivalent to the admission requirement for the programme.
| Assessments |
|---|
Exam category: Submission Form of assessment: Written submission Weight: 100 Grouping: Individual Duration: 5 Hour(s) Comment: Midterm exam in the autumn. Exam code: EBA09101 Grading scale: Pass/fail |
| Activity | Duration | Comment |
|---|---|---|
Teaching | 36 Hour(s) | Introductory part of the course |
Prepare for teaching | 8 Hour(s) | Introductory part of the course |
Group work / Assignments | 16 Hour(s) | Introductory part of the course |
Teaching | 48 Hour(s) | |
Prepare for teaching | 33 Hour(s) | |
Group work / Assignments | 112 Hour(s) | |
Examination | 7 Hour(s) |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.