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This course serves as an introduction to the data science principles required to tackle real-world, data-rich problems in business and in academia. Students will learn to implement fundamental data structures, which allow one to store collections of data with fast updates and queries. They will be given an introduction on artificial intelligence and machine learning. Finally, they will study the capturing, digitization, representation, organization, transformation, and presentation of information in database systems.

Computer scientists have the opportunity to design, implement, distribute, abuse, and avoid policies that affect the lives of millions of people. This course offers students an opportunity to explore some social, ethical, and legal issues they will face by introducing them to a wide range of current and important topics in Computer Science that includes technical issues, professional questions, and moral and ethical decisions. Students will learn the basic principles of Information Assurance and Human-Computer Interaction.

This course will focus on different approaches to programming including language and paradigm choices such as functional, object oriented, parallel and event-driven programming and the relative merits of each approach. We will also cover communication and coordination as well as program representation, translation, and execution.

In the past few years, social media services as well as the users who subscribe to them, have grown at a phenomenal rate. It is fascinating to study this new environment as well as its Netizens. This course introduces the basic concepts in social computing, combining several scientific perspectives for understanding social networks and human behavior. Students will learn how to identify key components, to detect and generate fundamental structures, and to model the growth and propagation in social networks.