Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Tuesday | 09/26/23 | 01:00 PM - 05:00 PM | D5.1.002 |
| Tuesday | 10/03/23 | 01:00 PM - 05:00 PM | D5.1.002 |
| Monday | 10/09/23 | 08:00 AM - 05:00 PM | Extern |
| Tuesday | 10/10/23 | 09:00 AM - 02:00 PM | Extern |
| Tuesday | 10/17/23 | 01:00 PM - 05:00 PM | D5.1.002 |
| Tuesday | 10/24/23 | 01:00 PM - 05:00 PM | D5.1.002 |
| Tuesday | 10/31/23 | 01:00 PM - 05:00 PM | D5.1.002 |
| Tuesday | 11/07/23 | 01:00 PM - 05:00 PM | D5.1.002 |
This class is project-based. Students will take the role of a financial analyst and conduct a comprehensive analysis of the firm's corporate and business strategies, its past financial performance and its value drivers.
After completing this class students will be able to:
- analyze a firm's strategy (corporate and business strategy)
- interpret financial reports
- use databases like Bloomberg or Refinitive to access key financial data
- calculate and interpret financial ratios and KPIs
- combine financial and non-financial data to analyze value drivers
- design and implement a financial analysis project
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: In order to successfully pass this course, your absence is limited to 20% of all our appointments including online sessions.
- Lectures
- Material for self-study
- Coachings
- Group discussions
- Group 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 and other learning materials 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.
The course grading system is based on:
- kick-off presentations 30%
- Excel model and financial analysis presentation, incl. components of grading from peer-review 60%
- 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%
required: SBWL Course I
recommended: SBWL Course II, AMC III
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Experience in Excel modeling, with IFRS or corporate finance topics will be helpful, but is not required.
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