Course
Strategic Decision-Making with AI (MSB260)
The course focuses on key economic concepts and provides students with the tools to develop a sound business strategy. Armed with general principles and based on a game-theoretic mindset, students learn about the fundamental laws of business gravity and competition. This enables them to analyze and develop organizational and tactical strategies to adapt their company's business strategies to the demands of the ever-changing environment. Whether it's pricing, product portfolio design, or advertising campaign planning, a competitive advantage is only sustainable if it can survive in a dynamic competitive environment and integrate competitor reactions into the strategic planning process.
Limit: 40 students (first come, first served).
Dette er emnebeskrivelsen for studieåret 2023-2024. Merk at det kan komme endringer.
Semesters
Fakta
Emnekode
MSB260
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English
Antall semestre
1
Vurderingssemester
Autumn
Content
Examples of typical subject areas covered are:
- Fundamental concepts of managerial economics
- Demand analysis and estimating demand
- Business and economic forecasting
- Industry analysis
- Competitors and competition
- Positioning and competitive advantage
- Production and costs
- Product differentiation and quality decisions
- Pricing techniques and analysis
- Advertising optimization
- Strategic behaviour and game theory
- Linear Regression
Learning outcome
Knowledge
On completion of the course, students will gain knowledge in:
- Utilizing fundamental statistical concepts, methods, and data to gain insights
- Basic game theory
- Basic proficiency in Excel
Skills
Upon completion of this course, students will be able to:
- Determine a demand function through linear regression
- Perform basic profit-optimization in Excel
- Apply basic concepts of managerial economics to real business problems
- Understand and apply basic pricing strategies
- Optimize advertising tactics and budgets
- Perform industry analysis
- Determine competitive advantage
- Apply basic game theoretic concepts to analyse competitive dynamics
- Use Excel to run a basic methods of business analytics
Forkunnskapskrav
Exam
| Form of assessment | Weight | Duration | Marks | Aid | Exam system | Withdrawal deadline | Exam date |
|---|---|---|---|---|---|---|---|
| Term paper in groups | 45/100 | 1 Semesters | Letter grades | Inspera assessment | 03.11.2023 | — | |
| School exam | 55/100 | 4 Hours | Letter grades | Valid calculator | Inspera assessment | 22.11.2023 | 06.12.2023 |
The final grade is based on a group project and a final individual exam. No re-sit.
The term paper (45%): work in group of 3-4 students. Due at the end of the term.
Individual digital written exam (55%).
Vilkår for å gå opp til eksamen/vurdering
The assignments are given in forms of individual practice questions or group work.
80% attendance