Syllabus

Title
1052 Course IV - 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
09/25/17 to 09/25/17
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Specialization in Business Administration Course IV - Management and Controlling
Dates
Day Date Time Room
Tuesday 11/07/17 01:00 PM - 05:00 PM D2.0.330
Tuesday 11/14/17 01:00 PM - 05:00 PM D2.0.330
Tuesday 11/21/17 01:00 PM - 05:00 PM D5.1.002
Tuesday 11/28/17 01:00 PM - 05:00 PM D5.1.003
Tuesday 12/05/17 01:00 PM - 05:00 PM D5.1.003
Tuesday 12/12/17 01:00 PM - 05:00 PM D5.1.004
Tuesday 12/19/17 01:00 PM - 05:00 PM D5.1.002

On this page:

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Contents

This class is project-based. Together with RHI AG, students will identify topics and trends of stategic importance to RHI AG and analyze present them to RHI management.

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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 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.

 

     

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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% 

     

    Grading scheme

    Sehr gut ≥87,5%

    Gut ≥75,0%

    Befriedigend ≥62,5%

    Genügend ≥50,0%

    Nicht genügend <50,0%

     

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    Prerequisites for participation and waiting lists
    SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs
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    Readings
    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
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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 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.
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    Availability of lecturer(s)

    Otto Janschek & Marius Metzl

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

    Last edited: 2017-08-31



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