Physical measurements and analysis of experimental data. The experiments test and apply some basic principles selected from the following fields: mechanics, sound, electromagnetism, optics and modern physics. Experiments and topics may vary each semester. Digital and analog laboratory instruments; computer acquisition and analysis of data. Estimate of systematic and random error, propagation of error, interpretation of results. This course complements three lecture courses, Ph 112, Ph 213, Ph 214.
This course will focus on the study and application of advanced multiagent theories and techniques that have been the subject of research for the past couple of decades in designing next generation blockchain applications. This will include the role of coordination and promoting cooperative behaviors in large-scale distributed networks and the internet economy.
Topics will include algorithms for agent interaction in cooperative and competitive environments, consensus formation and negotiation in distributed systems, smart contracts, public vs private blockchains, cryptographic hash functions digital signatures. These techniques will be used to implement a blockchain application where a trusted environment for all transactions is essential. Applications could include health data exchange, construction projects, derivatives processing, food safety supply, food safety supply chain, advertising, energy and governance.