Syllabus

Title
1159 Class 3 - Business Analysis Project
Instructors
Ass.Prof. Dr. Otto Janschek, Dr. Marius Metzl, M.A.
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/16/16 to 09/18/16
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 09/27/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 10/04/16 12:30 PM - 04:30 PM D5.1.002
Monday 10/10/16 08:00 AM - 05:00 PM Extern
Tuesday 10/11/16 08:00 AM - 02:00 PM Extern
Tuesday 10/18/16 12:30 PM - 04:30 PM D5.4.019
Tuesday 10/18/16 12:30 PM - 04:30 PM D5.5.029
Friday 10/21/16 09:00 AM - 12:00 PM TC.4.15
Tuesday 10/25/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 11/08/16 12:30 PM - 04:30 PM D5.1.004
Contents
This class is project-based. Together with Kapsch TrafficCom, we will identify business opportunities in intelligent mobility systems. The outcome is defining possible interesting niches for Kapsch TrafficCom to engage in. We will touch upon trends such as internet of things, intelligent transportation systems, smart cities or Industrie 4.0.

Students will analyze these trends and will give presentations on a range of different topics.

Learning outcomes

After completing this class students will be able to:

  • conduct systematic literature reviews
  • critically read and make sense of research and popular scientific articles
  • structure complex business problems
  • design research projects
  • implement research projects

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

  • be an effective, hard- and soft-skilled team member
  • work effectively in a team-based structure
  • give presentations on complex topics
Teaching/learning method(s)
  • Coachings
  • Group discussions
  • Group assignments
  • Individual assigments

The courseuses a problem based learning approach. This implies that students will need todevelop solutions to complex questions on an individual and/or group level. To support this process, a mix ofinstruments will be used: Input lectures will provide basic concepts for thenext steps, coaching sessions will provide early feedback and presentations andreports will demonstrate the ability of students to successfully structureproblems and provide meaningful answers. Practitioner input will give studentsguidance and feedback on their progress.

Assessment

 The course grading system is based on:
- kick-off presentations, incl. peer review 20% 
- mid-term and final presentations, incl. components of grading carried out by partnering company 60%
- Participation 20% 

Availability of lecturer(s)
Marius Metzl & Otto Janschek at"Dienstagsbier or e-mail
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.
Last edited: 2016-09-07



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