Courses

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Instructor: István Ottó Nagy
Credits: 2.0
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Instructor: *
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
Type: coreTiming: Full time: Monday, Part-time: Sunday Scalable data-analytics workloads introduce new challenges: How can you scale out your data analytics systems if your data size and computational need can’t be satisfied with a single computer?In this course we will cover the basics of distributed Data Analytics...
Instructor: Zoltán Tóth
Credits: 2.0
Type: coreTiming: Full time: Monday, Part-time: Sunday Scalable data-analytics workloads introduce new challenges: How can you scale out your data analytics systems if your data size and computational need can’t be satisfied with a single computer?In this course we will cover the basics of distributed Data Analytics...
Instructor: Zoltán Tóth
Credits: 2.0
Type: core for MSc in Business Analytics ( Full...
Instructor: Marc Kaufmann
Credits: 2.0
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Instructor: Gyorgy Kormendi
Credits: 1.0
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Instructor: Ivett Kovács
Credits: 1.0
This is a basic course in the theories and practice of negotiation. The objective of the course is to show the essence of Consultative Selling and Negotiations by presenting the main topics of negotiations escorted by role play activities where the participants can get a feeling of real life situations during personal...
Instructor: Achilles Georgiu
Credits: 1.5
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
Type: core for PhD in Business Administration 1st yr , MA in Economic Policy in Global Markets 1st yr, elective for MA in Global Economic Relations ( full time...
Instructor: Gábor Békés
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
Type: core Timing: Full time: Monday, Part-time: Sunday In this course, you will learn what components make up a data architecture in production and which database technologies are required for different use-cases. We will cover different database technologies and see how they can be used for solving a variety of...
Instructor: Zoltán Tóth
Credits: 2.0
Type: coreTiming: Full time: Monday, Part-time: Sunday In this course, you will learn what components make up a data architecture in production and which database technologies are required for different use-cases. We will cover different database technologies and see how they can be used for solving a variety of...
Instructor: Zoltan Toth
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 analytics   After 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 2017Timing: Friday afternoon + a weekday 5.30 This 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,...
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
Type: electiveTiming: TBA In last few years, the world of data has shifted from general solutions to specialized solutions, from closed commercial systems to a perplexing variety of open source systems, therefore choosing the right solution to the problem became a key element of the business analytics.This course...
Instructor: László Salló
Credits: 2.0
We will discover the latest digital trends, tools, and techniques that help companies in brand development and turning brand values to actual sales. Students will have the chance to follow real life examples from integrating digital methods into marketing plans through the campaign management to the evaluation of the...
Instructor: Tibor Farkas
Credits: 1.5
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Instructor: Gabor Bacsa
Credits: 1.0
core for MSc in Technology Management and Innovationelective for MSc in Business Analytics
Instructor: Zsolt Szeleczki
Credits: 2.0
Type: coreTerm: Winter or SpringTiming: Full time, part time: weekday eveningThe past ten years have brought a fundamental change in our lives, and the reason for the changes was technological development itself. In times of crisis and continuously changing environment there is an evidence need for creativity and...
Instructor: Achilles Georgiu
Credits: 2.0
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Instructor: Zoltan Buzady
Credits: 2.0
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Instructor: Davide Torsello
Credits: 2.0
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Instructor: Chrys Margaritidis
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
Type: elective Term: Winter or SpringTiming: Full time, part time: weekday eveningBusiness decisions frequently require appropriate supporting information. However, information may be extracted from a variety of entry points, including both internal and external sources and information quality may be questionable or...
Instructor: Tibor Voros
Credits: 2.0
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Instructor: Tamas Boday
Credits: 2.0
core for MSc in Technology Management and Innovationelective for MSc in Business Analytics
Instructor: Olaf Zylicz
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
The course provides a broad view of the field of information security, background on many related elements, and enough detail to facilitate understanding of the field. The course aims to establish the foundation for understanding the broader field of Information Security. It provides understanding and tools to the...
Instructor: Peter Papp
Credits: 1.0
core for MSc in Technology Management and Innovationelective for MSc in Business Analytics
Instructor: Norbert Sepp
Credits: 2.0