Courses

Project management is at the heart of business change. All projects, in some way, result from and give rise to change. However, many project management publications focus on elements such as engineering or information technology, removing the focus from strategic corporate needs. This course is designed to demonstrate...
Instructor: István Ottó Nagy
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
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: 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
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 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
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
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
This course will be made up the following elements:A) A series of workshop session focusing on your personal current leadership approach and style. You will explore your current way of dealing with challenges and how you interact with others, superiors, colleagues and subordinates. Based on this analysis we will ask...
Instructor: Zoltan Buzady
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
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
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