STK-MAT2011 – Project Work in Finance, Insurance, Risk and Data Analysis
Course description
Course content
Learning outcome
After having completed the course you have
- been given insight into the use of mathematics and computing tools to solve problems under supervision
- been trained in analyzing problems
- learned to structure and write a report, which is written by using LaTeX
- been trained in communicating the results.
Admission to the course
Special admission requirements
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
- Mathematics R1 (or Mathematics S1 and S2) + R2
And in addition one of these:
- Physics (1+2)
- Chemistry (1+2)
- Biology (1+2)
- Information technology (1+2)
- Geosciences (1+2)
- Technology and theories of research (1+2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies(in Norwegian).
Formal prerequisite knowledge
At least one of the following courses
Recommended previous knowledge
- STK1100 – Probability and Statistical Modelling
- STK1110 – Statistical Methods and Data Analysis
- STK2100 – Machine Learning and Statistical Methods for Prediction and Classification
- STK2130 – Modelling by Stochastic Processes
- MAT1100 – Calculus
- MAT1110 – Calculus and Linear Algebra
- MAT1120 – Linear Algebra
- MAT1125 – Advanced linear algebra
- MAT-INF1100 – Modelling and Computations (discontinued) / MAT-IN1105 – Programming, Modelling and Computations (discontinued)
- IN1900 – Introduction to Programming with Scientific Applications / IN1000 – Introduction to Object-oriented Programming
- IN1910 – Programming with Scientific Applications / IN1010 – Object-oriented Programming
Overlapping courses
- 10 credits overlap with STK-MAT2010 – Prosjekt i finans, forsikring og risiko (discontinued).
- 6 credits overlap with MAT2000 – Project Work in Mathematics.
- 6 credits overlap with MEK3200 – Project Work in Mechanics.
- 5 credits overlap with STK2010 – Project in data analysis (discontinued).
Teaching
During the first few weeks you will be given a brief introduction to the use of LaTeX, library and online resources and potential projects/supervisors will be presented. A mandatory assignment will also be given during the first few weeks.
The course coordinator will assign projects/supervisors by taking into consideration the submitted wishes from the students.
For most of the semester the students will have to work independently, under the supervision of a supervisor.
Within a given deadline at the end of the semester, the students will have to submit a project paper, followed by an oral presentation and hearing.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
The first lecture is compulsory.
Examination
Project assignment with an oral presentation which counts 100 % towards the final grade.
When writing a project assignment make sure to familiarize yourself with the rules for use of sources and citations. Breach of these rules may lead to suspicion of attempted cheating.
This course has 1 mandatory assignment that must be approved before you can sit the final exam.
Examination support material
Language of examination
Grading scale
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.