Syllabus

Title
6056 Course IV - Business Project Part 2
Instructors
Dr. Aleksandra Klein, MSc,MIM(CEMS), Lea Zwickl, MSc(WU),MA, Univ.Prof. Dr. Isabella Grabner
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/17/20 to 02/17/20
Anmeldung durch das Institut
Notes to the course
Dates
Day Date Time Room
Monday 05/04/20 09:00 AM - 01:00 PM Online-Einheit
Monday 05/11/20 09:00 AM - 01:00 PM Online-Einheit
Monday 05/18/20 09:00 AM - 01:00 PM Online-Einheit
Monday 05/25/20 09:00 AM - 01:00 PM Online-Einheit
Monday 06/08/20 08:00 AM - 12:00 PM Online-Einheit
Monday 06/15/20 09:00 AM - 01:00 PM Online-Einheit
Monday 06/22/20 09:00 AM - 01:00 PM Online-Einheit
Contents

This class is a real-life business project. Together with a selected partner firm, students will identify topics and trends of stategic importance to this firm and present them to its management. Specifically, the project will focus on digital and data-driven process transformation of the partner firm.

This part of the project includes work on recommendations and implementation suggestions for the partner firm.

(For the first part of the class, see course 6055).

Learning outcomes

After completing this class students will be able to:

  • describe and discuss applications of predictive analytics in corporate planning and forecasting
  • conduct systematic literature reviews
  • critically read and make sense of research articles
  • structure complex business problems
  • design and implement research projects

 

Apart from that, completing this course will contribute to students' abilities to:

  • organize and manage a large-scale project in the field of strategic management and management control
  • pursue the project management (PM) activities and master the use of various PM tools
  • structure complex and ill-defined problems
  • apply theoretical knowledge from different fields to find creative hands-on solutions to real-life business problems.
Attendance requirements

In order to successfully pass this course, your absence is limited to 20% of our appointments.

Teaching/learning method(s)

  • Coachings
  • Group discussions about research papers
  • Group assignments
  • Individual assigments
  • Practitioner feedback
Assessment

The final grade of the course will depend on:

  • Interim workshop and coachings: 30%
  • Final presentation and accompanying documentation, incl. peer evaluation: 50%
  • Project management objectives-reporting: 10%
  • Participation: 10%

Grading scheme

  • Excellent ≥87,5%
  • Good ≥75,0%
  • Satisfactory ≥62,5%
  • Passing ≥50,0%
  • Fail <50,0%
Availability of lecturer(s)

Alesandra Klein & Lea Zwickl & Isabella Grabner

Contact hours: Tuesdays starting from 5:15 p.m. @Dienstagsbier (IfU/Dienstagsbier)

Other
The kick-off event of our project will take place in Retz (lower Austria). Participation is compulsory! More information will follow in due course (see the first part of this class - Course 6055).
Last edited: 2020-07-28



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