Lehrstuhl für Betriebswirtschaftslehre, Gesundheitsökonomie und Management
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Methods in Management (Master)

 

For management master examination regulations as of 2008, the lecture can be recognized in following module:

Allgemeine Grundlagen

For management master examination regulations as of 2015, the lecture can be recognized in following module:

Betriebswirtschaftliche Grundlagen

For business education I examination regulations as of 2013, the lecuture can be recognized in following module:

Allgemeine Grundlagen

For business education I examination regulations as of 2015, the lecuture can be recognized in following module:

Betriebswirtschaftliche Grundlagen

For business education II examination regulations as of 2013, the lecuture can be recognized in following module:

Allgemeine Grundlagen

For business education II examination regulations as of 2015, the lecuture can be recognized in following module:

Betriebswirtschaftliche Grundlagen

For management examination regulation as of 2018, the lecture can be recognized in following module:

Fundamentals in Management

Lecturer
Dr. Silke Bartsch, Prof. Dr. Jörg Claussen, Prof. Dr. Manfred Schwaiger
Prof. Dr. Reiner Leidl, Prof. Dr. Ralf Elsas, Prof. Dr. Julia Nasev

Target audience
Master students of management (MSc).

Schedule, lecture

Please notice: The double-lecture of Prof. Elsas "Explorative Data Analysis and OLS/Logit" is shifted from 08-Jan-19 to 18-Dec-18.

Week

Day

Date

Time

Room

Topic

Lecturer

1

Tuesday

16-Oct-18

16:00-18:00

M018

Introduction

All

2

Tuesday

23-Oct-18

16:00-18:00

M018

Qualitative Methods, Basics

Bartsch

3

Tuesday

30-Oct-18

 

 

Canceled 

 

4

Tuesday

06-Nov-18

16:00-18:00

M018

Qualitative Methods; Applications (Marketing and Management)

Bartsch

5

Tuesday

13-Nov-18

16:00-20:00

Double-Lecture

M018

1.Part:

Experimental Research, Basics

2.Part:

Experimental Research, Applications (Market-based Management)

Schwaiger

6

Tuesday

20-Nov-18

16:00-18:00

 M018

Systematic Review

Leidl

7

Tuesday

27-Nov-18

Canceled

 

8

Tuesday

04-Dec-18

16:00-18:00

M018

Decision Analytical Models

Leidl

9

Tuesday

11-Dec-18

16:00-20:00

Double-Lecture

M018

Collecting and Working with Secondary Data

Claussen

10

Tuesday

18-Dec-18

16:00-20:00

Double-Lecture

 M018

Explorative Data Analysis and OLS/Logit

Elsas

11/12

Tuesday

 

 

 

Christmas Holiday:

22.12.2018 - 05.01.2019

 

13

Tuesday

08-Jan-19

 

Canceled

 

14

Tuesday

15-Jan-19

 

 

Canceled

 

15

Tuesday

22-Jan-19

16:00-20:00

Double-Lecture

M018

Quasi-experimental methods

Nasev

16

Tuesday

29-Jan-19

Canceled

 

 

 

Schedule, Tutorial

The Tutorial is divided into two parts:

1. Tutorial: Geschwister-Scholl-Platz 1

  • 24-Oct-18 to 5-Dec-18
  • Four identical Tutorials are offered ecach week:
Day Time Room
Wednesday 08:30 to 10:00 (s.t.) A 016
Wednesday 12:00 to 14:00 (c.t.) A 016
Thursday 14:00 to 16:00 (c.t.) A 016
Thursday 16:00 to 18:00 (c.t.) A 016
  • Note: Canceled at 31-Oct, 01-Nov-18, no registration necessary

2. Computer tutorial in IuK pool, room 207, Ludwigstraße 28, front building

  • 12-Dec-18 to 1-Feb-19
  • Identical tutorials are offered each week:
Group Day Time Room
G1 Wednesday 08:30 to 10:00 (s.t.) CIP, room 023, Ludwigstr. 28, back building
G2 Wednesday 10:00 to 12:00 (c.t.) CIP, room 023, Ludwigstr. 28, back building
G3 Wednesday 12:00 to 14:00 (c.t.) CIP, room 023, Ludwigstr. 28, back building
G4 Thursday 14:00 to 16:00 (c.t.) IuK, room 207, Ludwigstr. 28, front building
G5 Thursday 16:00 to 18:00 (c.t.) IuK, room 207, Ludwigstr. 28, front building
  • Note: Please register for one of those groups:

https://www.mercator.bwl.uni-muenchen.de/methbwl

Registration for computer tutorials starts 17-Oct-2018, 8 am and ends 31-Oct-2018.

Exam

The exam is part of the master plan. Please consider related information of the ISC.

Tutorial

Topics
After introduction of scientific basics, methodological basics and practical applications of six methodological approaches will be presented:

  • Qualitative Methods (Marketing)
  • Collection of and Working with Primary Data (Digital Economics)
  • Experimental Research (Market Based Management)
  • Systematic Review, Decision Analytical Models (Health Management)
  • Explorative Data Analysis and Simulation (Finance)
  • Econometrics, Multivariate Analysis (Innovation)


These Topics should provide some insight into possible specializations of the master program. The lectures are accomanied by tutorials.

E-Learning

For exam preparation a web-based tutorial is available at: Start E-Learning
Login information will be published in the lecture.

Material and Literature

The lecture slides and tutorial material will be available at the start of semester at the LSF:

Recommended literature for the tutorial "Econometrics, Multivariate Analysis":

Barreto, H. and Howland, F. M.; Introductory Econometrics, Cambridge; neueste Auflage

Contact Person

For organizational questions, please contact Gundula Krack (krack@bwl.lmu.de), for content issues pleas contact the tutors of the related topics.

About the lecture you will obtain in the LSF...