Econometrics, Statistics and Empirical Economics

S414 Advanced Mathematical Methods

Lecturer

Dr. Julie Schnaitmann

Profiles

recently enrolled Master students

The course is open for CIVIS students.

Language English
Sessions

04 October 2022, 9.00 am - 12.00 pm - Linear Algebra I
05 October 2022, 9.00 am - 12.00 pm - Linear Algebra II

06 October 2022, 9.00 am - 12.00 pm - Calculus

12 October 2022, 9.00 am - 12.00 pm - Mathematical Statistics

13 October 2022, 9.00 am - 12.00 pm - Parameter Estimation

14 October 2022, 9.00 am - 12.00 pm - Hypothesis Testing

Place room: HS 10, Neue Aula
Credit points 3 ECTS
Registration

no registration required to take part in the course

Exam (60 min) takes place in the end of the winter term

 

Format of the Lecture

The lecture takes place in person. If you cannot attend the lecture on site, the slides and the audio from the lecture are uploaded to the virtuv server.

Content

This course is designed for recently enrolled Master students at the School of Business and Economics. The aim is to provide participants with fundamentals of mathematics, probability theory, and statistics which are particularly important in the first semester of the Master program. The course program covers key concepts of basic probability theory, basics of statistical inference, a summary of matrix algebra (e.g., matrix addition and matrix multiplication, eigenvalues), differentiation and integration.

Literature (selected chapters)

Short summaries:

Course Material

The course is designed as a refresher. You find links to video lectures on the slides.

PART ONE:

Chapter 1 Linear Algebra part I, Exercises_01

Chapter 1 Linear Algebra part II, Exercises_02

Chapter 2 Multivariate Calculus, Exercises_03

Chapter 3 Integral Calculus, Exercises_04

 

PART TWO:

Chapter 4 Mathematical Statistics part I, Exercises_05

Chapter 4 Mathematical Statistics part II, Exercises_05

Chapter 5 Parameter Estimation, Exercise 06

Chapter 6 Hypothesis testing, Exercises_07

25 Easy pieces in Mathematical Statistics

 

You find all materials, including videos which provide solutions guidelines to the exercise, at the Open-ILIAS platform at:

https://vitruv.uni-tuebingen.de/ilias3/goto_pr01_crs_7244.html

eLearning for math repetition:

https://vitruv.uni-tuebingen.de/ilias3/goto_pr01_crs_4803.html