Courses

The course focuses on familiarizing students with the Agile project management techniques from the basics to its more advanced methods and practices. Since the publication of the Agile Manifesto in 2001, the Agile movement has revolutionized software product development and following a consolidation period has been...
Instructor: Laszló Salló
Credits: 1.0
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
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
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 overfitting and the use of training and...
Instructor: Gábor Békés
Credits: 2.0
Decisions in business and policy are often centered on specific interventions, such as changing monetary policy, modifying health care financing, changing the price or other attributes of products, or changing the media mix in marketing. Learning the effects of such interventions is an important purpose of data...
Instructor: Gábor Békés
Credits: 2.0
Type: coreIn 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 problems. Then we will take a look at these cloud...
Instructor: Zoltan Toth
Credits: 2.0
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Instructor: Zoltan Toth
Credits: 2.0
Type: core Timing: Full time: Monday, Part-time: SundayIn 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
This 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 around Data Processing and Analysis. Additionally, we will discuss for what types of problems Python is the right choice and how to...
Instructor: Eszter Somos
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: Zoltán Papp
Credits: 1.0
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, random forests, gradient boosting machines, neural networks, support vector machine, deep learning etc.). A...
Instructor: Zoltán Papp, Jenő Pál
Credits: 2.0
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Instructor: Zsolt Szeleczki
Credits: 2.0
Type: coreTerm: Winter Timing: 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 innovation to...
Instructor: Achilles Georgiu
Credits: 2.0
The main objectives of Security and Data Protection course may be summarised as:Giving an overview about the role of CISO (Chief Information Security Manager)Helping to designing an IT security policy (how to collaborate with customer and suppliers, how to align with the needs of the business.)Helping to ensure...
Instructor: Peter Papp
Credits: 1.0
Core for MS in Technology Management and InnovationElective for MS in Business AnalyticsIn recent decades, technology has become one of, if not the primary, most important factors to fuel progress and economic growth. The main driver that enables these positive changes is innovation. Technology innovation is...
Instructor: Norbert Sepp
Credits: 2.0
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Instructor: Gergely Daroczi
Credits: 1.0