Courses

The Boardroom Global Challenge is designed to place students into realistic business and management scenarios, where they can try various roles and apply, practice and understand foundation issues studied in core courses and considered in organizations. An on-line, turn-based, management level business simulation...
Instructor: Tibor Voros
Credits: 2.0
Type: core for MSc in Business Analytics ( Full...
Instructor: Marc Kaufmann
Credits: 2.0
IBM SPSS Modeler is an extensive predictive analytics platform with an intuitive graphical interface. It provides a wide range of advanced statistical and data mining algorithms, which allows users to perform complex data analysis and to extract business value from data.This introductory course aims to give an...
Instructor: Gyorgy Kormendi
Credits: 1.0
Companies are exposed to a variety of financial risks, including interest rate, inflation, currency, credit (counterparty), commodity and M...
Instructor: Peter Szilagyi
Credits: 2.0
Corporate restructuring entails any fundamental change in a company's business or financial structure, designed to increase the company's value. This course aims to cover both aspects of corporate restructuring:  financial restructuring and operational restructuring.  Financial restructuring considers various...
Instructor: Joy Chan
Credits: 2.0
Type: electiveTiming: Full time: weekday Data analysis in business and policy applications is often aimed at prediction. The course introduces tools to evaluate predictions, such as loss functions or the Brier score. It emphasizes the importance of out-of-sample prediction, the role of stationarity, the dangers of...
Instructor: Gábor Békés
Credits: 2.0
Type: elective for PhD in Business Administration, MA in Economic Policy in Global Markets, MSc in Business Analytics (full-time), MSc in Finance (full-time), MSc in Finance (part-time)Timing: Full time: weekday Decisions in business and policy are often centered on specific interventions, such as changing monetary...
Instructor: Gábor Békés
Credits: 2.0
Instructor: Anikó Hannák (hannaka@ceu.edu, office hours: Tuesdays 4:00pm-5:30pm by appointment)Credits: 2 (4 ECTS)Term: Winter 2017-2018This course will provide a comprehensive introduction to programming with Python, starting from the basics. Beyond confidently using Python, the class will focus on solving problems...
Instructor: Ancsa Hannak
Credits: 2.0
Type: core for MSc in Business analyticsAfter an overview of the entire data science landscape this course will focus on machine learning. The course will introduce the main fundamental concepts in machine learning (supervised learning, training, scoring, accuracy measures, test set, overfitting, cross validation,...
Instructor: Szilard Pafka
Credits: 2.0
Type: core for class of 2017 Sept / elective for class of Mar 2017This course will build on the previous one (which introduced the basic concepts in machine learning) and will discuss state-of-the-art algorithms for supervised learning (linear models, lasso, decision trees, random forests, gradient boosting machines,...
Instructor: Szilard Pafka
Credits: 2.0
The Entrepreneurial Finance course prepares students to be competent in the skills of an entrepreneur and corporate financial manager. The course will focus on the specific needs of entrepreneurial ventures, including stat up and development phase financial and management problems.The course will consist of a...
Instructor: Gabor Baranyai
Credits: 2.0
This course covers analytical tools and techniques required to analyze fixed-income securities in modern financial markets. Theories, models, quantitative methods and their applications in fixed-income markets will be emphasized. Reuters examples, case studies and trading games will be used to illustrate how market...
Instructor: Peter Szilagyi
Credits: 2.0
Main topics are: Brownian motion (Wiener process), martingales, stochastic (Ito) integration, stochastic differential equations, diffusion processes. These tools are heavily used in financial mathematics, biology, physics, and engineering. Thus if someone wants to enter e.g. the flourishing field of financial...
Instructor: Miklós Rásonyi, Kinga Tikosi - TA
Credits: 2.0
core for MSc In Finance ( Full Time); elective for: MA in Economic Policy in Global Markets, MA in Economics This course offers the financial theory and quantitative tools necessary for understanding how assetprices are determined, and how financial assets are used for investment. The first half of the...
Instructor: Adam Zawadowski
Credits: 4.0
The course takes you through the financial markets, financial instruments, basic analytical tools, strategies. The main objective of the course is to give a structural understanding of the capital markets, products, players to know your way around the financial information jungle which gets deeper every day. The...
Instructor: Tibor Turner
Credits: 4.0
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Instructor: Joy Chan
Credits: 1.5
One of the key issues for all entrepreneurs is, to secure adequate financing for their ventures. This course will provide a general background of external financing options and the related considerations (terms and conditions), with focus on equity financing.The course is an interactive joint work to understand the...
Instructor: Gabor Baranyai
Credits: 2.0
This seminar series (6x 100 min presentations/talks) will feature prominent practitioners talking about data science projects in their organizations. Talks may cover a variety of topics such as data collection, modelling, production, data warehouse development, data science team building.
Instructor: Gábor Békés
Credits: 1.0
Main topics are: Brownian motion (Wiener process), martingales, stochastic (Ito) integration, stochastic differential equations, diffusion processes. These tools are heavily used in financial mathematics, biology, physics, and engineering. Thus if someone wants to enter e.g. the flourishing field of financial...
Instructor: Rásonyi Miklós
Credits: 3.0