Computer Science

This is a practical course that introduces the concepts of machine learning and application of algorithms to several types of available data samples.  Students are introduced to the Python programming language and key concepts related to the TensorFlow (TM) programming toolkit from Google. Programming skills are developed during this course to explore the potential benefits of deep learning algorithms. Students learn how to use scientific computing methods to handle, cleanse, transform, and validate data with the purpose of gaining insights from a wide range of datasets; how to present available data using charts, graphs, tables and more sophisticated visualization tools; how to model data and perform statistical analysis and ad hoc queries; and how to report on key findings and how to summarize and communicate results to mixed audiences. 

This is a comprehensive first course in computer communications and networks. The course introduces basic networking concepts, including protocol, network architecture, reference models, layering, service, interface, multiplexing, switching, and standards. An overview of digital communication from the perspective of computer networking is also provided. Topics include internet (TCP/IP) architecture and protocols, network applications, congestion/flow/error control, routing and internetworking, data link protocols, error detection and correction, channel allocation and multiple access protocols, communication media, and selected topics in wireless and data center networks. It covers recent advances in network control and management architectures by introducing the concepts of software-defined networking (SDN) and network (function) virtualization. Students gain hands-on experience in network programming using the socket API, network traffic/protocol analysis, and on assessment of alternative networked systems and architectures.

This course is intended for students in computing disciplines whose work focuses on human-computer interaction issues in the design of software systems. The course stresses the importance of user-centered design and usability in the development of software applications and systems. Students are taken through the analysis, design, development, and evaluation of human-computer interaction methods for software systems. They acquire hands-on design skills through laboratory exercises and assignments. The course also covers HCI design principles and emphasizes the importance of contextual, organizational, and social factors in system design.

This course describes the phases of a modern programming language compiler with an emphasis on widely used techniques. The course project requires students to implement a complete compiler for a simple educational programming language targeting an abstract machine such as the JVM. On completion of this course, the student is able to analyze compilation tasks and apply standard compilation techniques; develop, implement, and apply modifications to standard compilation techniques and algorithms wherever this is necessary; and understand and implement design decisions in modern compilers.

This course examines legal and ethical issues in data engineering. Topics include: information society and telecommunications; personal data protection; information society services; the electronic administration; intellectual and industrial property; online criminal and punitive law; professional deontology and codes of conduct.