Compulsory Modules of the First Semester
In this course, students get to know stochastic calculus like Brownian motion, conditional expectation, martingale, Ito stochastic integral, Ito lemma, and Ito stochastic linear differential equation and shall obtain competencies to understand some main ideas and apply tools of stochastic calculus.
With Econometrics, students shall improve upon already established knowledge of fundamental econometric methods, learn about concepts of modern micro-econometric methods during lectures, and independently become acquainted with a state-of-the-art methodology by studying the recommended literature, are able to use STATA to solve problems, and analyze real-world problems independently.
In this module, students shall acquire an analytical understanding of the determinants of individual decisions, develop a thorough understanding of the consequences of decentralized decision-making for individual and firm behavior in partial equilibrium models, and analyze the existence, stability, and efficiency properties of general equilibria.
In this course, students acquire knowledge of the empirics of growth and business cycles, develop a thorough understanding of the basic models of economic growth, are able to identify the sources and amplifiers of aggregate fluctuations, and are empowered to study macroeconomic models independently and self-reliantly.
With Foundations for Finance, students acquire knowledge about valuation models in finance, have the ability to make simple portfolio decisions, and develop an understanding of firms’ major financial decisions.
Compulsory Elective Module: Academic Methods, 5 ECTS
A. Academic Writing and Presentations
Students:
- critically evaluate and distinguish academic and non-academic materials,
- gain further insights into academic methodology and argument structure,
- improve skills in presenting an argument in an appropriate written and oral form according to accepted norms,
- enhance their linguistic competence in subject-specific language.
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B. Quantitative Approaches
Students:
- acquire a broad knowledge in academic research, empirical analysis and model development,
- become acquainted with common research tools and academic software,
- develop an experience with working in a group and presenting their solution.