ECON9165 – Advanced Mathematics
Schedule, syllabus and examination date
Course content
This course provides a rigorous introduction to the mathematical tools and concepts that underpin modern economic theory and econometrics.
The course emphasises both conceptual understanding and the ability to work with formal mathematical arguments. Students will engage with proofs, theoretical examples, and applications drawn from economic theory and econometrics. The aim is to equip students with the mathematical foundations required to read and produce research in theoretical and applied economics.
Learning outcome
Knowledge outcomes
The course develops knowledge of the mathematical foundations commonly used in economic analysis. Successful students will understand the key concepts, theorems, and techniques that support modern economic modelling, and how these tools are used to analyse economic models and build econometrics methods.
Mastering the course’s content will enable students to follow the mathematical arguments used in advanced economic theory and econometrics papers.
Skills
Students will develop skills in formal mathematical reasoning, including constructing and understanding proofs and formal results. Through problem sets, students will gain experience applying mathematical techniques to problems that arise in economic research.
Competence
You should be able to read and understand theoretical economics papers that rely on mathematical arguments and to follow the formal structure of proofs and modelling frameworks. You should also be able to use these mathematical tools in your own academic work, for example when developing theoretical models.
Admission to the course
Recommended previous knowledge
Teaching
The course takes place during two weeks.
Credit for the course requires both active participation in class and a take home exam/essay.
Examination
Examination support material
All support material is allowed. When using AI, you must explain and be transparent about its use: read more about the guidelines for AI and exams at How to use AI as a student - University of Oslo
Language of examination
Grading scale
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.