Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.
Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.
Explores the financial applications of blockchains, covering the definition, history, Ethereum, decentralized finance, smart contracts, tokens, assessment methods, challenges of double spending, digital signatures, and cryptographic hash functions.
Introduces work, potential energy, and virtual work in structural mechanics, emphasizing equilibrium conditions and their application to solve problems.