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Intensive Course in Statistics

The Intensive Course in Statistics 2017 takes place within the scope of the International Summer Program,
Track A: Engineering (Applied Mathematics) and the Master course Automation and Robotics.
The course addresses international students. It is not designated to students of the Department of Statistics.

Lectures and Tutorials: Dr. Dhouha Mejri

Time period: 08th June until 26th July 2017

Schedule:

 

Week

     Date

        Day

     Time

Room

Course

 

Tu.

 

 

 

 

1

We.

 

 

 

 

 

Th.

08.06.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

13.06.2017

8.30-10.00

CDI/ZHB -120

Lecture

2

We.

14.06.2017

10.15-11.45

CDI/ZHB- 121

Lecture

 

Th.

15.06.2017

10.15-11.45

Mathematik/E25

Tutorial

 

Week

 Date

Day

Time

Room

Course

 

Tu.

20.06.2017

8.30-10.00

CDI/ZHB -120

Lecture

3

We.

21.06.2017

10.15-11.45

CDI/ZHB- 121

Tutorial

 

Th.

22.06.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

27.06.2017

8.30-10.00

CDI/ZHB -120

Lecture

4

We.

28.06.2017

10.15-11.45

CDI/ZHB- 121

Tutorial

 

Th.

29.06.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

04.07.2017

8.30-10.00

CDI/ZHB -120

Lecture

5

We.

05.07.2017

10.15-11.45

CDI/ZHB- 121

Software Lab

 

Th.

06.07.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

11.07.2017

8.30-10.00

CDI/ZHB -120

Lecture

6

We.

12.07.2017

10.15-11.45

CDI/ZHB- 121

Software Lab

 

Th.

13.07.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

18.07.2017

8.30-10.00

CDI/ZHB -120

Lecture

7

We.

19.07.2017

10.15-11.45

CDI/ZHB- 121

Software Lab

 

Th.

20.07.2017

10.15-11.45

Mathematik/E25

Lecture

 

Week

 Date

Day

Time

Room

Course

 

Tu.

25.07.2017

8.30-10.00

CDI/ZHB -120

Tutorial

8

We.

26.07.2017

10.15-11.45

CDI/ZHB- 121

Questions

 

Th.

 

 

 

 

 

 

 

 

Classes


Tuesday, 8:30-10.00, room CDI /120
Wednesday, 10.15-11.45, room CDI / 121
Thursday, 10.15-11.45, room M / E25

 

Course outline


The course gives an introduction to statistical concepts that are useful for research projects in various fields of application and areas of science.

Specifically, the lecture covers the following topics:

   • basic probability random variables
   • probability and sampling distributions
   • point estimation
   • confidence intervals
   • hypothesis testing
   • simple linear regression
   • time series analysis

Except for basic mathematical calculus no prior knowledge is necessary.

 

Exam


5 ECTS points are credited for passing the written exam.

Exam date: (coming soon)