4748 Course IV - Business Forecasting Project
Ass.Prof. Dr. Otto Janschek, Lea Zwickl, MSc(WU),MA
Weekly hours
Language of instruction
02/18/19 to 02/18/19
Registration at the institute
Notes to the course
Day Date Time Room
Tuesday 04/30/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 05/07/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 05/14/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 05/21/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 05/28/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 06/04/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 06/11/19 01:00 PM - 05:00 PM D5.1.004
Monday 06/17/19 02:00 PM - 06:00 PM TC.5.27
Tuesday 06/18/19 01:00 PM - 05:00 PM D5.1.004
Tuesday 06/25/19 01:00 PM - 05:00 PM D5.1.004

This class is project-based. Together with a selected partner firm, students will identify topics and trends of stategic importance to his firm and analyze present them to its management.

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
Attendance requirements

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

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 to develop solutions to complex questions on an individual and/or group level. To support this process, a mix of instruments will be used: Input lectures will provide basic concepts for the next steps, coaching sessions will provide early feedback and presentations and reports will demonstrate the ability of students to successfully structure problems and provide meaningful answers. Practitioner input will give students guidance and feedback on their progress.


    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% 

    Grading scheme

    Sehr gut ≥87,5%

    Gut ≥75,0%

    Befriedigend ≥62,5%

    Genügend ≥50,0%

    Nicht genügend <50,0%

    Prerequisites for participation and waiting lists
    SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs
    1 Author: see Business Analysis course
    Content relevant for class examination: Yes
    Content relevant for diploma examination: No
    Recommendation: Essential reading for all students
    Type: Book
    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 Excel: separation of data and models, absolute and relative cell references, standardizing workbook formats, customized cell formats, conditional formatting, linking worksheets, resolving circular references

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

    Otto Janschek & Lea Zwickl

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

    Last edited: 2018-10-17