Data & Analytics 3: Mathematics & Statistics
Niveau
Bachelor
Learning outcomes of the courses/module
- Students can carry out mathematical modeling for practical problems in computer science and economics and find solutions using methods of differential and integral calculus.
- Students can correctly record, describe, analyze, and interpret statistical data and apply basic methods of inferential statistics, in particular, elementary estimation methods and simple test methods.
- Students can correctly record, describe, analyze, and interpret statistical data and apply basic methods of inferential statistics, in particular, elementary estimation methods and simple test methods.
Prerequisites for the course
none
Course content
- Repetition of the concept of function and some important functions
- Differential calculus and its application in one and several variables
- Elementary introduction to integral calculus
- Descriptive statistics: basics, location and scattering ratios, regression and correlation
- Probability theory: terminology, basic properties, rules, and the concept of discrete and continuous random variables
- Inductive statistics: basics, simple estimation methods, simple test methods
- Differential calculus and its application in one and several variables
- Elementary introduction to integral calculus
- Descriptive statistics: basics, location and scattering ratios, regression and correlation
- Probability theory: terminology, basic properties, rules, and the concept of discrete and continuous random variables
- Inductive statistics: basics, simple estimation methods, simple test methods
Recommended specialist literature
Coming soon
Assessment methods and criteria
Portfolio review
Language
German
Number of ECTS credits awarded
6
Share of e-learning in %
20
Semester hours per week
3.0
Planned teaching and learning method
Lectures, tutorials (in connection with lecture/seminar), group work
Semester/trimester in which the course/module is offered
2
Name of lecturer
STGL
Academic year
Key figure of the course/module
DAT3
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
no