Understanding Blockchain, AI, & Machine Learning

Level:
Open to students entering grades 9 through 12 or freshman year of college in the fall
Session:

III - August 5th - August 9th, 2019 (Course Filled)

Days & Time:
Monday–Friday, 10:10 a.m.–12:00 p.m. and 2:10–4:00 p.m.
Status:
New
Teacher(s):
Jamiel Sheikh

Course Description

This course takes a deep dive into the world of blockchain, AI, and machine learning. We open the hood and look inside blockchain to see what it is, how it has evolved, and where it is headed. We then explore artificial intelligence and machine learning and seek to understand the philosophical and ethical issues, relationship with consciousness and self-awareness, the categories and applications of the different families of AI algorithms, and what challenges and opportunities lie in the future. Students are encouraged to think about the impact of these technologies on society and how they themselves might become leaders and shapers in these fields.

The course a mix of instruction, experimentation, role-playing, project work, and guest speakers. Role-playing is conducted through interactive narratives and storytelling, placing the students in thought-provoking problem-solving settings. For example, we imagine a world where all forms of currencies and stores of value have disappeared and walk through the ideation process Satoshi Nakamoto went through in order to construct a decentralized value exchange system. Experimentation involves students creating and conducting Turing tests to determine whether they are interacting with a fellow student or with algorithms. We also view clips from films such as Her, Ex-Machina, and AlphaGo, that address critical topics in AI.

Light team-based coding in Python helps elucidate and make concrete ideas around blockchain and artificial intelligence. No prior coding experience is required, however.

Teacher(s)

Jamiel Sheikh

Jamiel Sheikh is the founder and CEO of Chainhaus, a global software development, education, and venture studio firm specializing in blockchain, AI, and data science. He has over fifteen years of experience in technology, finance, banking, entrepreneurship, and performance management at organizations such as Bank of America, Merrill Lynch, Lehman Brothers, JP MorganChase, Oracle, and GE. He runs one of the largest and most active blockchain Meetups in New York City and is an active global speaker and educator. Jamiel teaches graduate-level blockchain, AI, and data science courses at Columbia University, New York University (NYU), and City University of New York (CUNY), and is writing a book on Corda for O'Reilly.  He holds an MBA from Columbia University and a BBA from Baruch College and is completing his second master's in artificial intelligence at Georgia Institute of Technology.

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Specific course detail such as hours and instructors are subject to change at the discretion of the University. Not all instructors listed for a course teach all sections of that course.