Minor in Data Analysis in Natural Sciences

 

                           ***New minor available from  fall semester 2019***

Graduates of a minor program in Data Analysis in the Natural Sciences (30 ECTS) can apply modern statistical methods and techniques of data analysis to understand big data in natural sciences. They use these methods to analyze big data and compare and visualize the outcome based on their knowledge of the corresponding natural science area (major at MNF).

Conditions for attending this minor: The following modules must have already been completed: ‚MAT 111 Lineare Algebra I‘ or ‚MAT 141 Lineare Algebra für die Naturwissenschaften‘ (or an equivalent module), as well as ‚MAT 121 Analysis I‘ or ‚MAT 182 Analysis für die Naturwissenschaften‘ (or an equivalent module).

1.) Compulsory modules (Pflichtmodule)

Semester

Module

ECTS

FS

ESC 403 Introduction to Data Science

6

HS

STA 121 Statistical Modeling

5

2.) Core elective modules Informatics (Wahlpflichtmodule Informatik)

At least 5 ECTS must be chosen from the following Informatics modules. Modules which build on previously attended and which focus on object-oriented programming and programming of complex algorithms must be chosen.

AINF 1166 is recommended for students with no prior training in programming and with no compulsory programming course within their major.

Semester

Module

ECTS

HS

AINF 1166 Informatik I

6

HS

MAT 101 Programming

4

HS

MAT 116 Programming MatLab

2

HS

PHY 114 Informatik für Physikstudierende

1 (2)

HS

BIO 134 Programming in Biology

5

HS

PHY 225 Scientific Programming in Python

1

HS

STA 260 Practical Introduction to the Statistical Computing

Environment R

1

HS

STA 470 Good Statistical Practice: Computational Skills

1

FS

AINF 1169 Informatik II

6

FS

ESC 401 High Performance Computing

6

FS

CHE 103 Computer Applications in Chemistry

4

37

PHY 125 Scientific Computing (follows PHY 114)

3 (2)

FS

PHY 224 Programming in C++

1

FS

BIO 394 Interdisciplinary Research Methods In Computational Biology

4

FS

BIO 144 Data analysis in Biology (follows BIO 134)

4

FS

GEO 876 Introduction to Programming for Spatial Problems

3

3.) Core elective modules Statistics (Wahlpflichtmodule Statistik)

At least 10 ECTS must be chosen from the following:

Semester

Module

ECTS

FS

STA 110 Introduction to Probability

5

FS

STA 120 Introduction to Statistics*

5

HS

PHY 231 Datenanalyse*

5

HS

STA 402 Likelihood Inference

5

HS

STA 406 Generalized Regression

5

HS

STA 390 Statistical Practice**

4

FS

STA 380 Selected Topics in Statistics

3

* either STA 120 or PHY 231 can be chosen. If PHY 231 has already been completed, STA 120 can not be chosen (and vice versa).

** Limited number of participants

4.) Elective modules (Wahlmodule)

For the remaining ECTS: Free choice from compulsory (Pflichtmodule), core elective (Wahlpflichtmodule), and elective (Wahlmodule) modules of the Minor in Computational Science. (Modules from other programs only by agreement.)