End-User Computing

Faculty

Faculty of Business Management and Social Sciences

Version

Version 1 of 07.01.2025.

Module identifier

22B1305

Module level

Bachelor

Language of instruction

English

ECTS credit points and grading

5.0

Module frequency

only summerterm

Duration

1 semester

 

 

Brief description

Office applications are of vital practical importance to support, automate and optimize decision making in business management. Modern office solutions offer advanced features to end users in order to extract, integrate, model, explore and visualise relevant information for management support. This end-user computing approach is currently reinforced by the technological trend of datafication, sensorification and automatization which turns many aspects of business activities into digital data assets. In order to realize this potential, this course introduces the essential concepts, tools and techniques of end-user computing for business management based on state-of-the-art applications.

Teaching and learning outcomes

1. Conceptual foundations of end-user computing

2. End-user computing applications

3. Dashboards and decision support development

4. Data models and data management for end-user computing

5. Information visualisation and reporting

6. Design tools and concepts

7. Robotic process automation

8. Advanced topics

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Hours of workloadType of teachingMedia implementationConcretization
60LecturePresence-
Lecturer independent learning
Hours of workloadType of teachingMedia implementationConcretization
65Preparation/follow-up for course work-
25Exam preparation-
Graded examination
  • Homework / Assignment or
  • Written examination or
  • Portfolio exam
Remark on the assessment methods

The portfolio exam covers 100 points and includes one written paper (HA) and one presentation (PR). HA is weighted by 70 points and PR is weighted by 30 points.

Exam duration and scope

Written paper: approx. 15 pages plus appendix/attachment
Written examination: in accordance with the valid study regulations

Written paper of the portfolio exam: approx. 10 pages plus appendix/attachment
Presentation of the portfolio exam: approx. 15-30 minutes

The requirements are specified in the respective lectures.

Recommended prior knowledge

Basic knowledge of office software products is being expected.

Knowledge Broadening

Students have knowledge of business information processing based on state-of-the-art standard software solutions.

Knowledge deepening

Students are able to identify relevant application fields of end-user computing in order to enhance management processes.

Knowledge Understanding

Students in the module will be able to develop concepts on how digitalization can be implemented and strategically integrated at different levels and functional areas of the company.

Application and Transfer

Students are able to support basic business information processing tasks by use of modern end-user computing environments (e.g., for robotic process automation).

Academic Innovation

Students are capable to understand and criticize model artifacts (e.g., data models and process models).

Communication and Cooperation

Students are able to critically evaluate and communicate the business impact of modern standard software solutions for end-user computing.

Academic Self-Conception / Professionalism

Students are able to use and deploy standard software applications to realise the potential of end-user computing for the practice of business management.

Literature

Alexander M, Walkenbach J (2013) Excel Dashboards and Reports, 2nd ed., Indianapolis.

Czarnecki C, Fettke P (2022) Robotic Process Automation - Management, Technology, Applications. Berlin/Boston.

Duggirala P (2015): Dashboards for Excel - Deliver Critical Information and Insight at the Speed of a Click, New York.

Dumas M, La Rosa M, Mendling J, Reijers H (2018) Fundamentals of Business Process Management, 2nd ed., Berlin.

Few S (2012) Show me the numbers – Designing tables and graphs to enlighten, 2nd ed., Burlingame.

Guilmette A (2022) Workflow Automation with Microsoft Power Automate, 2nd ed., Birmingham.

Hess T (2022) Managing the Digital Transformation - A Guide to Successful Organizational Change, Wiesbaden.

Laudon KC, Laudon JP (2021) Management Information Systems – Managing the Digital Firm, 17th ed., Harlow.

Maslyuk D (2021) Analyzing Data with Microsoft Power BI, Hoboken.

Russo M, Ferrari A (2020) The Definitive Guide to DAX: Business intelligence with Microsoft Power BI, SQL Server Analysis Services, and Excel, 2nd ed., New York.

Silver B (2018) DMN Method & Style – Business Practitioner's Guide to Decision Modeling, 2nd. ed., Altadena.

Linkage to other modules

The acquired competencies are helpful in other business management courses which deal with decision support and process management. Furthermore, the competencies are relevant to carry out practice-oriented bachelor theses, which require the design and optimization of business processes and/or the analysis of digital data.

Applicability in study programs

  • International Management
    • International Management, B.A.

    Person responsible for the module
    • Bensberg, Frank
    Teachers
    • Bensberg, Frank