|Mathematics and Statistics||pre-session|
|IT for Managers||2.0|
|Microeconomics for Policy and Business
|Data Analysis I
|Data Analysis II
|Data Science for Business
|Big Data Computing
|Tool for Analytics Lab||2.0|
|Information Lifecycle Management||2.0|
|Ethics of Big Data||1.5|
|Organizational Behavior & HR Management
|Security and Data Protection||2.0|
|Economics of Trade Policy||4.0|
|Global Financial Markets||4.0|
|Consultative Selling and Negotiations||1.5|
|Programming Tools 1.||1.0|
Ethics of Big Data (1.5 cr) Instructor: Chrysovalantis Margaritidis
This course provides a forum for discussion of a selection of topics regarding the Ethics of Big Data through mainly contemporary literature in ethics and Big Data developments. In examining these topics, we will also discuss principles and problems of broader philosophical significance. Topics discussed will include the correlation vs causation in data analysis, identity, privacy, and mass surveillance. Principles and problems discussed will include the doctrine of double effect, doing vs. allowing harm, theories of personal identity, and aspects of liberal morality. We will also develop a framework to handle ethical questions in the context of Big Data for individuals, companies and states.
IT for Managers (2 cr) Instructor: Achilles Georgiu
The main objective of the course is to share practical knowledge and to help the audience understand the managerial and non-technical challenges in order to use the technology successfully. This course will study IT management from an integrated and holistic viewpoint, providing the participants with a usable map of this complex field. The course will neither make students information system technical specialists nor provide the in-depth knowledge required by Business Analysts about the subject. But it will help students to explore different ways of creating knowledge from data through the help of the latest Technology.
Technology Innovation (3 cr) Instructor: Norbert Sepp
The aim of this course is to give students business insights based on current and future technology trends and to raise the awareness of the audience around the rapid evolution of Technology (not just IT), by building up thoughts around how to adapt them in our everyday life by learning about different ways of the intelligent use of Technology.
Security and Data protection (1,5 cr) Instructor: Péter Papp
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 students to examine the drivers behind the security analysis process, the design, and implementation of the solutions. The course will provide students with the level of awareness, confidence and also the knowledge to understand the risks, managing them and supporting various security solution implementations.
Information Lifecycle Management (2cr) Instructor: Tibor Vörös
Business 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 simply unknown. This course discusses information quality issues and necessary support processes to track data pieces and corresponding context from creation to deletion. The course emphasizes ‘the fitness for use’ definition and aims to prepare participants for the most common issues in organizations regarding information handling. The building of ‘one truth’ for decision support purposes is also a key concern in many organizations. Among other topics, information workflows and modeling tools (e.g. Data Flow Diagrams) for organizations will be reviewed. The course discusses the consolidation of information into data warehouses and the necessary processes of extract-transform-load. Topics covered: Information flow, data flow, DFDs. Data structures. Well-structured business data. ILM as policy and process. Data warehousing, OLAP. The extract-transform-load workflow. Data manipulation tools. Text analytics tools. Search. Entity resolution. Data warehousing.
Accounting (1.5 cr) Instructor: Anna Turner
This course focuses on the use of current reporting and accounting concepts in international business. We will discuss how accounting data can be used in business decisions. You will develop an understanding of concepts and procedures of corporate financial reporting and control in order to be able to effectively utilize this information and participate in its development as a corporate manager. The goal of the course is to improve organizational decision-making and to align it with the organization’s strategy/objectives.
Organizational Behavior & Human Resource Management (2.0 cr) Instructor: Davide Torsello
This course will give you practical management models, tools and methods for analyzing, designing, managing and changing organizations in harmony with situational factors, strategic and operative goals. The aim is not to teach an optimal way of designing and managing organizations: there is no one best way. Instead we provide a general and comprehensive understanding of modern organizations, the challenges they face in general and in the specific region and business where they operate, to highlight related managerial decision alternatives, the logic behind key structural solutions, with a special regard to human factors and human resource management.
For other courses, please see their descriptions listed under the homepage of the CEU Department of Economics: