Courses

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
Course code: CNSC 6006Office: N11 308Course schedule: This course will take place during the first half of the winter term, starting on January 10th 2018.Office hours: by appointmentPrerequisites:You need to be proficient with Python to take this course – read the “to satisfy the prerequisite” section below. Basic...
Instructor: Rossano Schifanella
Credits: 2.0
This course is designed to introduce you to the frontiers of research in financial economics. We will mainly focus on theoretical research in the areas of financial frictions, crises, liquidity, bubbles,financial intermediation, and banking. The course will contain a mix of lectures and paperdiscussions. A firm...
Instructor: Adam Zawadowski
Credits: 4.0
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
The series of seminars will frame network and data analytics driven innovation in the context of team capabilities and dynamics in business organizations, in respect to the main themes of:Networks and Data Analytics as a Driver of InnovationCritical Factors in Start-ups and Emerging FirmsInnovation and Corporate...
Instructor: Davide Torsello
Credits: 2.0
The field of Organization Science encompasses Organizational Behavior and Organization Theory. This course provides a comprehensive analysis of individual and group behavior in organizations. Its purpose is to provide an understanding of how organizations can be managed more effectively and at the same time enhance...
Instructor: Davide Torsello
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: Rásonyi Miklós
Credits: 3.0