Open Enrollment Course
APR 3 – JUN 26
Chamber of Commerce
What You Will Learn
This course aims at providing a hands-on introduction to blockchain, distributed ledger and crypto-currencies. The course will address three major topics:
- Use cases for blockchain technologies in supply chain management and payment systems as well as tokenization of assets.
- An in-depth look at how blockchain technology is implemented using different programming frameworks (Ethereum and Hyperledger).
- The design of payment architectures based on blockchain.
More specifically, the class will focus on the Interledger protocol developed by Ripple as a key element to achieve global inter-operability.
- Understand the opportunities, but also the limits of blockchain technology
- Expertise in writing simple blockchain applications using the Ethereum platform
- Understand the basic theory on consensus protocols
- Develop basic monitoring tools for other blockchains (Ripple)
- Understand the economic issues and incentives of a decentralized application
- Governance approaches for blockchain based applications
- Advanced topics: Ripple Interledger protocol, Tezos governance model
- A practical and pragmatic approach to blockchain based technology.
- Team Project
Students will be lead to understand the key technology by working in teams on a semester long project (12 weeks). The project will aim at simulating a real-life scenario of a blockchain based start-up. Each team will identify a performance gap or strategic opportunity facing the start-up organization, and then build a comprehensive, technological strategy and implementation plan to address it, and showcase their findings in final pitch presentation. Faculty will be available throughout the course to provide feedback and advice.
- Participants learn to recognize how they can use material in the context of their own organization and apply concepts in their professional environment.
- A diverse set of perspectives across industries, professional experiences, and academic disciplines: students come from a variety of backgrounds and companies, ensuring exposure to a broad range of learning experiences.
- This courses is academically accredited at the graduate level.
- Credits earned may be applied toward the MBA Degree.
Who Should Attend?
- Managers who want to refine their skills in strategic data management and fact-based decision-making
- Individuals building and launching data science teams
- Professionals in marketing, supply chain, information technology, human resources, talent management, product development, operations, and other strategy-related functions