Winter term 2023 / 2024
Prep1: Econometrics
Prof. Nick Zubanov
Terms:
12.-13.10.2023, 14:00 - 17:30, room R512
16.-18.10.2023, 14:00 - 17:30, room R512
20.10.2023, 11:00 - 18:00, room R512
This course aims to provide a refresher in econometrics to better prepare students for taking more advanced econometrics and/or data analytics courses later in their study programme. We will begin with the review of statistical inference, proceeding then to the broad topic of regression analysis, on which we will spend most of the time. Parameter identification issues and ways of addressing them will be discussed in the context of the linear regression model. Extensions will be provided to cover a selection of nonlinear regression models, such as binary choice, count data models and sample selection models. Practical examples illustrating the use of econometric methods will be provided throughout the course. More advanced topics, such as machine learning tools, will be introduced but not studied comprehensively.
Introduction to business economics
Prof. Nick Zubanov
Lecture:
This course will lay the foundations for studying economics in applications to business management, so that the students can successfully study more specialised and advanced courses in organisational economics, accounting and personnel economics later on in their study programme. We will begin by defining some of the basic economics concepts - utility, benefits, costs, supply, demand, rationality - illustrating them with examples from decisions regularly made by individuals and firms. We will then study economic theories underlying decision making in profit-oriented firms and link them to outcomes observed in practice and illustrated by several case studies. The importance of market environment for firms, in particular, competition and regulation, will be discussed. In addition to the core economic topics, an introduction to modern tools of economic analysis of firms will be provided; specifically, tutorials will be given on the basics of mathematics and data analysis.
Wednesday, 17:00 - 18:30 (forthnightly) - beginning: 25.10.2023 - Room R513
Thursday, 15:15 - 16:45 (forthnightly) - beginning: 26.10.2023 - Room R513
5 tutorial groups (ZEuS tutorials)
Course and lecture language will be English!
It is very important that you enroll for the courses in ZEuS to ensure that you receive all relevant information in time via Ilias.
Lecture (B.Sc.) Personnel economics I
Prof. Nick Zubanov
Lecture:
This course will introduce students to the key issues in managing people - the key asset in many modern organisations. We will cover issues in employee recruitment, selection, training, incentives, performance evaluation, promotion and turnover. While this course is related to Human Resource Management the way it’s taught in business schools, it is essentially an economics course. That is, it applies economic reasoning and mathematical models to make sense of HRM practices. Therefore, a background in economics, in particular micro and maths, will help students do well on this course.
Terms:
Tuesday, 11:45 - 13:15, room R511 (forthnightly) - beginning: 24.10.2023
Thursday, 10:00 - 11:30, room G227 (forthnightly) - beginning: 26.10.2023
Tutorials:
1. Parallelgroup: Tuesday, 11:45 - 13:15, room R511 (forthnightly) - beginning: 31.10.2023
2. Parallelgroup: Thursday, 10:00 - 11:30, room G227 (forthnightly) - beginning: 02.11.2023
Course and lecture language will be English!
It is very important that you enroll for the courses on ZEuS to ensure that you receive all relevant information in time via Ilias.
This course will introduce students to the key issues in managing people - the key asset in many modern organisations. We will cover issues in employee recruitment, selection, training, incentives, performance evaluation, promotion and turnover. While this course is related to Human Resource Management the way it’s taught in business schools, it is essentially an economics course. That is, it applies economic reasoning and mathematical models to make sense of HRM practices. Therefore, a background in economics, in particular micro and maths, will help students do well on this course.