- Prof. Dr. Michael Burkert, University of Fribourg
- Dr. Matthias Klein, Head of Controlling, die Mobiliar
Basics of Accounting: 30th – 31st May 2023
What to expect
- Introduction to Financial Accounting
- Understanding and Creating Financial Statements
- Relevance of Financial Statements in Managerial Decision-Making
- Managerial Accounting, CVP Analysis and Cost Assignment
- Common Pitfalls in Cost-Based Decision-Making
- Cost Management
Short course description
The focus of the course is to provide participants with an introduction to accounting basics. It showcases the role of financial and managerial accounting for effective decision-making and control. It also addresses some common pitfalls when making important decisions and ways to overcome them.
Basics of Accounting
- Prof. Dr. Franck Missonier-Piera, University of
Fribourg - Prof. Dr. Martin Wallmeier, University of Fribourg
Value Based Management and Financial Analysis: 13th – 14th June 2023
What to expect
Day 1: Value Based Management
- Business Model and Value Drivers
- Discounted Cash Flow & Economic Value Added
- The Value of Flexibility
- Protecting Value Creation: Hedging Exchange Rate Risk
Day 2: Financial Analysis
- Financial Statements Analysis
- Performance Diagnosis and Value Drivers
- Credit & Solvency Examination
- Financial Planning
Short course description
This course covers the state of the art of valuation and financial analysis from a corporate perspective. A mix of case studies, class discussions and topical lectures will provide participants with a solid understanding of how to measure and manage the value, performance and solvency of companies.
- Prof. Dr. Florian Weigert, Professor of Financial Risk Management, University of Neuchâtel
- Dr. Volker Vonhoff, Director of Group Risk, N26
- Anatoly Nigmatulin, Head of Credit Risk, N26
- Dr. Alexander Bechtel, Head of Digital Strategies, DWS
Risk Management & FinTech: 20th – 21st June 2023
What to expect
- Risk Management Techniques for Market and Credit Risk
- Corporate Risk Management in a Digitalized Bank
- Artificial Intelligence in Finance
- Digital Assets
- Cryptocurrencies and Blockchain
Short course description
This course introduces you to Risk Management & FinTech, the emerging world of applications, concepts and developments at the interface of Finance and Technology. Participants will learn important aspects of risk management in a digitalized world, the application of artificial intelligence in finance, and the nature and use of digital assets. The course emphasizes a personal learning experience and is based on case discussions and lectures.
Using Monte Carlo Simulations for enhanced decision-making: 22nd- 23rd June 2023
What to expect
Using Monte Carlo Simulations for enhanced:
- Cost-based decision-making
- Cost Control
Short course description
This course introduces participants to a powerful tool that enables decision-makers to address uncertainty explicitly overcoming the weaknesses of the more traditional scenario analysis approach.
Digital (R)evolution: 5th- 6th September 2023
What to expect
- Definition, reasons and impacts from digitization to digital transformation
- Major technical developments from big data, artificial intelligence, blockchain, 3D printing etc.
- Digital business models such as network-, service-, data-, platform, metaverse and DAO economy
- Agile and ambidextrous leadership including pragmatic tools to overcome barriers
Short course description
The business environment is digital! The growing connectivity of people, machines, and businesses has changed our daily business. In order to keep up and stay competitive, companies must adjust to these demands by digitizing their processes, business models as well as leadership approach. In this course, you will get a digital mindset to embrace innovation and a toolset to bring in fresh ways of thinking.
cyber Security: 7th- 8th September 2023
What to expect
- Information security governance
- Policies, standards and best practice
- Understanding risk and countermeasures
- Information security culture & privacy
- Economics of information security
- Basics of blockchains
Short course description
The power and reach of converging ICT trends makes it necessary to understand the newest developments of a software-driven, everything connected world and their implications. This course highlights the challenges a company is facing and offers a toolbox of solutions.
IT-enabled Business Model Innovation: 12th- 13th September 2023
What to expect
- IT Strategy and value of IT
- Foundations of Digital Transformation
- IT-enabled Business Model Innovation
- Implementation of Digital Transformation Initiatives
- Skills for Digital Transformation
Short course description
This course introduces the foundations, potentials and challenges of Digital Transformation. It equips the participants with the required knowledge on IT Strategy to plan, evaluate and implement IT-enabled Business Model Innovations at incumbent organizations.
Managing Technochange: 14th- 15th September 2023
What to expect
- Implementing information system in organisations
- Effecting organisational change
- Agile Transformation
- Leveraging IT for change and digital business
Short course description
The role of IT becomes increasingly important for the corporate strategy of companies. However, this importance depends on the information systems ability to deliver value and their implementation drives organisational performance. Therefore, it is necessary that companies’ information is meaningful and useful to decision making.
- Prof. Dr. Philippe Cudré-Mauroux, University of Fribourg
- Prof. Dr. Elena Mugellini, University of Applied Sciences Fribourg
Big Data and Interactive Systems: 19th- 20th September 2023
What to expect
- Big Data (concept, market, tools) and their use in AI applications
- Where could big data for data science in smart cities come from?
– IoT-Services, social media, smart city architecture, etc.
– What can we do with this data?
– Human-centered AI for cities and business models
– How to apply Soft Computing Methods in this Framework?
Short course description
From business intelligence and big data analytics to application to improve products and services. How can the daily-flood of data be made understandable and usable for successful business decisions? Drowning in data, a company in the digital era must know how to handle them but also how to use them in their strategy.
- Amir Tabakovic – Strategist, Innovator, Investor in ML Technology
• Chair of Expert Group Data Privacy and AI at Mobey Forum
• Guest lecturer at ESADE
Introduction to Business Analytics and AI for Managers: 21st- 22nd September 2023
What to expect
- Introduction to Artificial Intelligence and Machine Learning (AI/ML)
- Data driven organisation and democratisation of AI/ML
- ML problem framing and ML Canvas
- Practical examples of Supervised and Unsupervised ML problems
- Practical exercises: Pricing, Shopping Basket Analysis, Sentiment Analysis…
- AI/ML and Regulations; Consequences of GDPR on AI/ML; Data Privacy and AI
Short course description
This course offers a practical introduction to Artificial Intelligence and Machine Learning (AI/ML) for non-technical business leaders. It helps business domain experts better assess the potential of AI/ML for their businesses, avoid common pitfalls when implementing AI/ML in their organisations and initiate and execute successful data driven projects.