Courses

*elective for MSc in Technology Management and InnovationThe course will focus on the use of current reporting and accounting concepts in international business. We will discuss how accounting information can be interpreted and used in managerial decision-making and students will get an overview of financial decision-...
Instructor: Laura Ipacs
Credits: 2.0
The course will focus on the use of current reporting and accounting concepts in international business. We will discuss how accounting information can be interpreted and used in managerial decision-making and students will get an overview of financial decision-making. Financial reporting is a topical issue in current...
Instructor: Laura Ipacs
Credits: 2.0
*
Instructor: *
Credits: 2.0
*This course focuses on financial intermediary institutions, including banks, investment banks and institutional investors. The functions and purposes of such institutions are analyzed. Their role in the Global Financial Crisis is a special area of interest. Among the topics addressed are banking regulation, capital...
Instructor: Laszló Haas
Credits: 2.0
*Banks today are primarily IT companies, at least from an operational perspective. Many of the leading European banks has been developing their IT infrastructure/applications over decades and most of them struggle with the underlying complexity and cost. Increasing demand from customers for digitization, novel...
Instructor: Szabolcs Szalay
Credits: 2.0
*
Instructor: Laura Ipacs
Credits: 2.0
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
This course is designed to help the students understand the important concepts and techniques used in Tableau to move from simple to complex visualizations and learn how to combine them in interactive dashboards.
Instructor: Ivett Kovács
Credits: 1.0
*
Instructor: Joy Chan
Credits: 2.0
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
We study problems related to the separation of ownership and control in modern corporations.  Corporate governance refers to the mechanisms that solve two principal-agent problems, one between the owners of capital and managers, and another between the small, dispersed owners and large, concentrated blockholders of...
Instructor: Almos Telegdy
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: core Seminars: Group 1: for full-time students primarily. Group 2: for part-time students in MSc in Business Analytics primarily. Group 3: for MSc in Finance students and all for whom the course in not offered in their program. MA in Economic Policy in Global Markets students have to choose one from Data...
Instructor: Gergely Daroczi
Credits: 2.0
Core for: MSc in Business Analytics ( Part Time...
Instructor: Gergely Daroczi
Credits: 2.0
This course is core for: MA in Economic Policy in Global Markets, MSc in Business Analytics, PhD in Business Administrationelective for : MA in Global Economic Relations, MSc in Finance Seminars:Group 1: programming in STATA, full-time schedule, for MA and PhD students primarily. Group 2: programming in R, full-time...
Instructor: Arieda Muço
Credits: 2.0
Type: core for MA in Economic Policy in Global Markets 1st yr, MSc in Business Analytics (full-time), MSc in Business Analytics (part-time)elective for: PhD in Business Administration, MA in Global Economic Relations (full-time), MA in Global Economic Relations (part-time), MSc in Finance (full-time), MSc in Finance (...
Instructor: Gábor Békés
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
Type: electiveTiming: Full time, part time: weekday evening This course will enable students select the right visualization form to their data and present them in a way to engage their audience. We will learn through exercise how data visualizations work, what are the best practices and how to avoid common pitfalls....
Instructor: Krisztina Szűcs
Credits: 1.0
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
*
Instructor: Davide Torsello
Credits: 2.0
Core for: MA in Economic Policy in Global Markets, MSc in Finance (full-time), MSc in Technology Management and Innovation (full-time)Elective for: MA in Global Economic Relations (full-time)The aim of the course is to provide a broad understanding of the principles and techniques of finance, and to apply these to...
Instructor: Peter Szilagyi
Credits: 2.0
core for : MSc in Finance (part-time), MSc in Technology Management and Innovation (part-time), elective for: MA in Global Economic Relations (part-time), The aim of the course is to provide a broad understanding of the principles and techniques of finance, and to apply these to decisions faced by financial managers....
Instructor: Peter Szilagyi
Credits: 2.0
*
Instructor: Mark Walton
Credits: 2.0
The course provides an introduction to the art and science of trading. Various timeframes, markets, instruments and analytical methods will be discussed. Success factors of automated and semi-automated trading strategies will be explored. Students will, in groups, design, backtest and forward-test their own trading...
Instructor: Ferenc Meszaros
Credits: 1.0
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
.
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
IMPORTANT: This course can accommodate a maximum of 30 students. Priority is given to Mathematics students (Master and PhD) and Network Science PhD students. All other students are selected based on the entry test score. Students that take the course for grade have priority over auditors. All students, both registered...
Instructor: Roberta Sinatra
Credits: 3.0
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
It is vital for corporations to remain competitive in today’s dynamic operating environment. In this course, we will present and analyse a framework for creating a value-based performance management system. The techniques, methodologies, theories and practices behind organisational and customer value creation will be...
Instructor: Laura Ipacs
Credits: 1.5