Financial mathematics, Second cycle - courses 2023/24

Language of the course:

  • Slo - Slovene
  • Eng - English
  • Slo/Eng - English if enough foreign students
1. sem 2. sem ECTS Lecturer (language)
M5 Financial mathematics 2 3/2 6 Perman (Slo/Eng)
Probability 2 3/2 6 Bernik (Slo)
Bayesian statistics 3/2 6 Smrekar (Slo)
Actuarial mathematics: Nonlife insurance 3/2 6 Vidmar (Slo/Eng)
Time series 3/2 6 Basrak (Eng)
Numerical methods for financial mathematics 3/2 6 Zanette (Eng)
Topics in financial mathematics 1: Risk management 3/2 6 Dacorogna, Larsen (Eng)
1. sem 2. sem ECTS Lecturer (language)
M1 Functional analysis 3/2 6 Klep (Slo/Eng)
Complex analysis 3/2 6 Andrist (Eng)
Measure theory 3/2 6 Kandić (Slo)
Topics in analysis: Trace ideals and applications 3/2 6 Kostenko (Eng)
M2 Combinatorics 3/2 6 Konvalinka (Slo/Eng)
Topics in discrete mathematics 2 3/2 6 Potočnik, Montero (Eng)
Cardinal arithmetic 3/2 6 Simpson (Eng)
Noncommutative algebra 3/2 6 Klep (Slo/Eng)
Topics in algebra: Schemes 3/2 6 Šivic (Slo)
Number theory 3/2 6 Smertnig (Eng)
M3 Algebraic topology 1 3/2 6 Pavešić (Slo/Eng)
Algebraic topology 2 3/2 6 Strle (Slo/Eng)
Topics in topology 3/2 6 Smrekar (Slo)
M4 Numerical approximation and interpolation 3/2 6 Knez (Slo)
Numerical methods for linear control systems 3/2 6 Plestenjak (Slo)
Numerical solving of partial differential equations 3/2 6 Grošelj (Slo)
R1 Theory of programming languages 3/2 6 Pretnar (Slo)
Computational complexity 3/2 6 Simpson (Eng)
Topics in mathematical foundations of computer science: Probabilistic methods in computer science 3/2 6 Marc (Slo/Eng)
Mathematics with computers 3/2 6 Iršič, Cabello (Slo/Eng)
Topics in mathematical foundations of computer science: Logic in computer science 3/2 6 Simpson (Eng)
O Workplace experience 2 1* 1* 6 Košir (Slo)

$^{*}$ ... with work experience

Extracurricular courses FMF semester ECTS Lecturer Language
Bridge 1. semester 3 Barbara Drinovec Drnovšek Slo
Voluntary work in teaching support 1. or 2. semester 3 Damjan Kobal Slo
Courses in the study programme Applied statistics Semester ECTS Lecturer
2UpSt Computer intensive methods 1. sem 5 Žiberna
Multivariate analysis 2. sem 5 Žiberna
Event history analysis/Survival analysis 1. sem 5 Pohar Perme
Statistical methods for high-dimensional data 2. sem 5 Blagus
Linear models* 1. sem 5 Kastelec

*The course does not count as a substitute for one of the courses from M1-M4, R1.

Electives at Faculty of Economics Semester ECTS Lecturer Language
Microeconomics 3 1. sem 7 Zorić, Istenič Eng
Macroeconomics 3 1. sem 7 Masten, Polanec Eng
Financial economics 1. sem 7 Ahčan, Masten Eng
Corporate Finance 2 1. sem 7 Berg Skok, Črnigoj, Lončarski Slo
Econometrics 2 2. sem 7 Masten, Polanec Eng
Public finance 2 2. sem 7 Čok Eng
Economic policies of the EU 2. sem 7 Mrak, Rant Slo
Management of financial institutions 2 2. sem 7 Košak Eng
Monetary economy 2 1. sem 7 Masten Eng
Corporate Valuation & Financial Statement Analysis 1. sem 7 Lončarski, Valentinčič Eng
International Finance 2 1. sem 7 Mrak, Rant Eng
Taxes and tax harmonisation in the EU 1. sem 7 Čok Eng
Labour Economics 2 2. sem 7 Domadenik Muren Eng
Contract Theory in Finance and Insurance 2. sem 7 Marinč Eng
Risk management 1. sem 8 Berk Skok, Košak Eng
Quantitative behavioral finance 2. sem 7 Lončarski, Berk Skok Eng

Student's choice of electives must be approved by the department's study committee.