Syllabus

Title
1160 Class 4 - Business Forecasting Project
Instructors
Ass.Prof. Dr. Otto Janschek, Dr. Marius Metzl, M.A.
Contact details
otto.janschek@wu.ac.at; marius.metzl@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/19/16 to 09/23/16
Registration at the institute
Notes to the course
Subject(s) Bachelor Programs
Specialization in Business Administration Course IV - Management and Controlling
Dates
Day Date Time Room
Tuesday 11/15/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 11/22/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 11/29/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 12/06/16 12:30 PM - 04:30 PM D5.1.002
Tuesday 12/13/16 12:30 PM - 04:30 PM D5.1.002
Monday 12/19/16 02:00 PM - 05:00 PM D5.1.002

On this page:

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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.

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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
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Teaching/learning method(s)
  • Coachings
  • Group discussions
  • Group assignments
  • Individual assigments

The course uses 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.

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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%

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Prerequisites for participation and waiting lists
SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs
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Recommended previous knowledge and skills

Apart from financial analysis knowhow (Grundkurs SBWL, Business Analysis Project) your performance and level of effort will depend on your Word, Excel and Powerpoint skills. For those who have not used these tools intensively we recommend to get (re)acquainted with these programs before the start of the course. We'll provide basic templates for Word and Powerpoint, but not for Excel. VBA programming is not required, but may be helpful.

Specifically, we recommend a look at the following issues:

Microsoft Word: consistent formatting of documents

Microsoft Powerpoint: basic forms of presenting information, shapes provided with powerpoint, elements of PPT templates.
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Availability of lecturer(s)

Otto Janschek & Marius Metzl

contact hours: Dienstag ab 17:15 Uhr beim Dienstagsbier (Ifu/Dienstagsbier)

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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: 2016-09-08



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