Data Science & Intelligent Analytics PT
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Business Platforms & Cloud Computing (elective)

level of course unit

Master's course

Learning outcomes of course unit

The following learning outcomes are developed in the course:

- Students will know common business platforms.
- Students will know the advantages and disadvantages of business platforms and can select suitable platforms.
- Students will know the basics of cloud computing and cloud platforms.
- Students will become aware of the options. Defining interfaces and using them.

prerequisites and co-requisites

No prerequisites

course contents

Students are given an overview of common business platforms and cloud computing. In addition, the advantages and disadvantages of the respective platforms are discussed. Students are therefore able to select suitable platforms for a given problem. Students gain practical experience with selected platforms using case studies. In addition, methods for defining interfaces are discussed with the students.

recommended or required reading

PRIMARY LITERATURE:
- Erl, T., Puttini, R., Mahmood, Z: Cloud Computing: Concepts, Technology and Architecture. 2013
- Jackson, K., Goessling, S.: Architecting Cloud Computing Solutions: Build cloud strategies that align technology and economics while effectively managing risk. 2018
- Evans, D., Schmalensee, R.: Matchmakers: The New Economics of Multisided Platforms. 2016

assessment methods and criteria

Seminar thesis

language of instruction

German

number of ECTS credits allocated

4

eLearning quota in percent

15

course-hours-per-week (chw)

2

planned learning activities and teaching methods

Lecture, group work, presentation and discussion of tasks

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Prof. (FH) Dipl.-Informatiker Karsten Böhm

course unit code

WPF.7

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none