Syllabus

Title
4604 Course III - Business Analysis Project
Instructors
Ass.Prof. Dr. Otto Janschek, Mag. Marco Mannsberger
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/10/20 to 02/16/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 02/25/20 05:00 PM - 09:00 PM EA.5.030
Tuesday 03/03/20 01:00 PM - 05:00 PM D5.1.003
Monday 03/09/20 08:00 AM - 05:00 PM Extern
Tuesday 03/10/20 08:00 AM - 02:00 PM Extern
Tuesday 03/17/20 01:00 PM - 05:00 PM Online-Einheit
Tuesday 03/24/20 05:30 PM - 09:00 PM Online-Einheit
Tuesday 03/31/20 01:00 PM - 05:00 PM D5.1.003
Tuesday 03/31/20 06:00 PM - 09:00 PM Extern
Thursday 04/02/20 08:00 AM - 06:00 PM Extern
Tuesday 04/21/20 04:00 PM - 09:00 PM D5.1.003
Contents

This class is project-based. Together with a selected partner firm, students will identify topics and trends of stategic importance to this firm and 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.

      Assessment

      The course grading system is based on:

      • kick-off presentations 30% 
      • Financial Excel model and analysis presentations, incl. peer review 60%
      • Participation 10%

      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

      required: Course 1 (Introduction)

      recommended: Course 2, AMC III

      Readings
      1 Author: Palepu, Healy, Peek
      Title:

      Business Analysis and Valuation


      Publisher: Cengage
      Edition: 5
      Remarks: The book is available at WU library, 4th edition can also be used. If you want to buy the book, a 20% discount is available: code:CENGAGE87920 Order via https://www.cengagebrain.co.uk/shop/9781473758421
      Year: 2019
      Content relevant for class examination: Yes
      Recommendation: Strongly recommended (but no absolute necessity for purchase)
      Type: Book
      2 Author: Powell, Baker
      Title:

      Business Analytics: The Art of Modeling With Spreadsheets


      Publisher: Cengage
      Edition: 5; you can use 3 or newer
      Year: 2017
      Recommendation: Strongly recommended (but no absolute necessity for purchase)
      Type: Book
      Availability of lecturer(s)

      Otto Janschek & Marco Mannsberger

      contact hours: Dienstag ab 17 Uhr beim 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.
      Last edited: 2020-02-24



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