Computer Science

This course offers an introduction to databases. Topics include: the entity relationship model; the relational database model; relational algebra; structured query language (SQL); procedural languages for SQL; triggers; transactions and concurrency control.

This course focuses on the Google search engine and its online advertising platform Google Ads. It offers a study of how search engines work-- page indexing and ordering of results-- and the composition of search engine results pages.

The course focuses on Big Data Aggregation for Bitcoin transaction analytics, including: Confirmed transactions on Blockchain; confirmed and unconfirmed transactions and associated data not included in Blockchain; data from digital currency exchanges, wallets, payment processors and miners; user data (payments, demographics etc.); illegal activities and payments; transaction analytics. The section on comprehensive database for credit metrics and fraud detection covers machine learning analytics for real-time transaction tracking and credit scoring; early warning system against fraudulent activities and hacking; identity verification and classification of persons or companies involved in a transaction.

Computer security is concerned with the protection of computer systems and their data from threats which may compromise integrity, availability, or confidentiality; the focus is on threats of a malicious nature rather than accidental. This course gives students a broad understanding of computer security. Topics include security risks, attacks, prevention, and defense methods; techniques for writing secure programs; and an overview of the foundations for cryptography, security protocols, and access control models.

This course examines how artificial intelligence models, technology, and methods heavily influence society. It covers different disciplines, models, and theories that contribute to AI for an open society.