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Digital Transformation & Artificial Intelligence I: Basics & Tools

Niveau

1. Study cycle, Bachelor

Learning outcomes of the courses/module

The students:
• know the basics and basic concepts of digitization (with corresponding cross-reference to economics).
• gain an overview of the most important topics and theories of digitization.
• recognise the interrelationships and have a basic understanding of how digitization affects the economy.
• are skilled in the initial applications of digital management to their own company.
• develop an active interest in digitization and can place it in a broader context (i.e. not just technology or IT).

Prerequisites for the course

none

Course content

• Introduction and history of the development of digitization
• Basic concepts and basic theories of digitization
• Overview of the factors influencing Markets & Companies through digitization
• First digital application and implementation methods in a business context
• Overview of the connections between digitization and classical business-related management functions (marketing, sales, HR, RandD, etc.)

Recommended specialist literature

• Hoffmeister, Christian: Digital Business Modelling. Hanser (latest edition)
• Urbach, Nils; Röglinger, Maximilian (publisher): Digitalization Cases: How Organiza-tions Rethink Their Business for the Digital Age. Springer (latest edition)
• 1-2 current articles from professional journals

Assessment methods and criteria

Portfolio

Language

English

Number of ECTS credits awarded

4

Share of e-learning in %

25

Semester hours per week

2.0

Planned teaching and learning method

Blended Learning

Semester/trimester in which the course/module is offered

3

Name of lecturer

Prof. (FH) Dr. Peter Dietrich

Academic year

Key figure of the course/module

IBS.BBB.03.01

Type of course/module

integrated lecture

Type of course

Compulsory

Internship(s)

none