Program Overview

School of Advanced Professional Studies

The School of Advanced Professional Studies (SAPS) offers a range of programs, including Master's degree programs, continuing education formats, and projects.

Master's Degree Programs

The SAPS offers several Master's degree programs, including:

• Aktuarwissenschaften
• Artificial Intelligence for Connected Industries
• Biopharmazeutisch-Medizintechnische Wissenschaften
• Business Analytics
• Instruktionsdesign
• Sensor Systems Engineering
• Advanced Oncology

Continuing Education Formats

The SAPS provides various continuing education formats, such as:

• Microcredentials
  • Microcredentialreihe Lehren
  • Microcredentialreihe Lernen
  • Microcredentialreihe Digital
  • Microcredentialreihe Lebensversicherung
• Zertifikatskurse
• Certificate of Advanced Studies (CAS)
  • CAS Aktuarwissenschaften
  • CAS Biopharmazeutisch-Medizintechnische Wissenschaften
  • CAS Business Analytics
• Diploma of Advanced Studies (DAS)
  • DAS Aktuarwissenschaften
  • DAS Business Analytics
  • DAS Instruktionsdesign
  • DAS Sensorsystemtechnik
  • DAS Wirkstoffforschung und Biomedizin

Projects

The SAPS is involved in several projects, including:

• EduNEXUS BW
• Artificial Intelligence for Connected Industries
• 2LIKE
  • Workshop on Adaptive Learning in Higher Education
• Hochschulweiterbildung@BW
• Weiterbildungsberatung
• Archiv der abgeschlossenen Projekte

About Us

The SAPS has a team and provides various information materials, including brochures, maps, and satzungen. The school also engages in public relations and press activities, including newsletters, annual reports, and press articles.

Project Management - Processes, Activities, and Practices

This module is part of the Sensor Systems Engineering program and covers the basics of operational project management. Students will learn techniques and processes based on best practices from the project management community and apply them in practical examples.

Module Description

The module description can be found in the Module Handbook for Sensor Systems Engineering and Artificial Intelligence and Machine Learning for Connected Systems.

Contents of the Module

The module covers the following topics:

• Ethics and Compliance
• Motivation, concept formation, and basic elements of project management
• Business case and project selection criteria
• Project environment within an organization
• The role of the project manager in the company
• Project phases: initiate, plan, execute, monitor, and close
• Scenarios and exercises to enhance knowledge transfer for selected topics
• Knowledge Areas:
  • Stakeholder Management
  • Integration Management
  • Scope management
  • Scheduling Management
  • Cost Management
  • Quality Management
  • Resource management
  • Communication Management
  • Risk Management
  • Procurement Management

Learning Aims of the Course

Students who have successfully completed this module will:

• Be familiar with the basics of operational project management
• Be able to independently plan, realize, monitor, and control complex interdisciplinary tasks
• Be familiar with the various organizational forms of project management, the coordination of work in project teams, and the requirements and tasks of a project manager
• Be proficient in the basic planning techniques of project management
• Be able to use different methods for planning, controlling, and monitoring processes based on network planning technology
• Know the challenges of project management by means of practical examples

Lernsetting

The online learning setting includes self-study units, group work, and online seminars. The self-study part is structured with videos and an elaborated script, which contains learning stops, multiple and single choice tests, quizzes, exercises, and more.

Requirements

The requirements for this module are not specified.

Certificate

After finishing the exam successfully, students will receive a certificate and a supplement, which will list the contents of the module and the competencies acquired. The supplement confirms the equivalent of 6 credit points (ECTS).

Study Fees

The study fees and participation fees are not specified, but students can register for the module in the context of the Master's program in Sensor Systems Engineering or Artificial Intelligence for Connected Industries.

Lecturer

The lecturer for this module is Dr. Volker Kraus, who is PMI-certified.