Syllabus

Title
4560 Course IV - Business Forecasting Project
Instructors
Ass.Prof. Dr. Otto Janschek, Gianluca Piucco, BSc (WU), MSc
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
02/21/22 to 02/21/22
Anmeldung durch das Institut
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Tuesday 05/03/22 01:00 PM - 05:00 PM D5.1.002
Tuesday 05/10/22 01:00 PM - 05:00 PM D5.1.003
Tuesday 05/17/22 01:00 PM - 05:00 PM D5.1.004
Tuesday 05/24/22 01:00 PM - 05:00 PM D5.1.003
Tuesday 05/31/22 01:00 PM - 05:00 PM D5.1.004
Tuesday 06/07/22 01:00 PM - 05:00 PM D5.1.002
Tuesday 06/14/22 01:00 PM - 05:00 PM D5.1.003
Tuesday 06/21/22 01:00 PM - 05:00 PM D5.1.003

Contents

This class is project-based. Together with a selected partner firm, students will conduct a full-scale financial analysis, prepare a valuation model and present them to its management.

Learning outcomes

After completing this class students will be able to:

  • apply simple forecasting methods
  • set up a financial planning model
  • implement a DCF-valuation model
  • perform a multiples-based valuation
  • discuss issues in forecasting financials and implementing DCF models

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 all our appointments including online sessions.

Teaching/learning method(s)

  • Lectures
  • Teaching materials for self-study
  • Coachings
  • Group discussions
  • Group assignments
  • Individual assignments

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:

    • homework exercises 20% 
    • Excel model and final presentations, incl. components of grading carried out by partnering company and peer review 70%
    • Participation 10% 

    Grading scheme

    • excellent/Sehr gut ≥87,5%
    • good/Gut ≥75,0%
    • satisfactory/Befriedigend ≥62,5%
    • sufficient/Genügend ≥50,0%
    • not sufficient/Nicht genügend <50,0%

    Prerequisites for participation and waiting lists

    SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs

    Readings

    Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

    Recommended previous knowledge and skills

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

    Specifically, we recommend a look at the following issues:

    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, 3 statement models.

    Microsoft Powerpoint: basic forms of presenting information, shapes provided with powerpoint, elements of PPT templates.

    Availability of lecturer(s)

    Otto Janschek & Gianluca Piucco

    contact hours: Tuesdays at Ifu/Dienstagsbier

    Last edited: 2022-05-05



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