Type of studies | Title |
---|---|
Master Academic Studies | Mathematics in Engineering (Year: 2, Semester: Winter) |
Category | Professional-applicative |
Scientific or art field |
|
ECTS | 6 |
Mastering students with theoretical and applied knowledge in mathematics, risk theory and financial models that are needed to evaluate assets and liabilities, including a set of conceptual and practical computing tools, that are particularly important for the automatic execution of complex calculations on large data sets.
Acquired knowledge is the basis for understanding the valuation techniques of the assets and liabilities of the insurer. Students can apply appropriate methods and financial and mathematical models of risk assessment and loss reserving with software tools, as well as to analyze the solutions and make recommendations and decisions. These skills are also needed to co-operate with other financial professionals as well as a critical assessment of modern financial theory.
Data analysis and modeling basics. Mathematical models in insurance. Computer techniques in the actuarial.Financial models. Risk theory, risk measures and risk modeling. Stochastic and deterministic models. Valuation of assets. Liability valuation. Portfolio theory. The theory of ruin. Methods and models for determining loss reserving with the application. Artificial intelligence and actuarial models.
Lectures. Consultations. Assesment: combination of a computer based modelling assignment with actuarila tools and optional tasks with additional points. The part of the material (that makes logical unit) is seminar paper and obligatory orally presented. Part of the materials that makes logical unit can be taken as partial exam that are part of the exam. Partial exam is in written form. The oral part of the final exam is eliminatory.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2005 | English | |||
2011 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 15.00 |
Term paper | Yes | No | 0.00 |
Lecture attendance | Yes | Yes | 5.00 |
Written part of the exam - tasks and theory | No | Yes | 40.00 |
Project task | Yes | Yes | 40.00 |
Homework | Yes | No | 0.00 |
Full Professor
Full Professor
Full Professor
Assistant with PhD
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© 2024. Faculty of Technical Sciences.