Introduction to the principles and concepts of the Internet; data communications and digital channel characteristics; networking applications and protocols, client-server paradigm and network programming; reliable data transfer, end-to-end transport; addressing, forwarding and routing, datagram networks; media access control, data link control; selected topics from cloud computing, network security and network management. Concepts are combined with programming and other hands-on assignments to enhance the learning of these topics.

Topics in logic and discrete math aimed at applications in Computer Science. Propositional calculus: truth tables, logical relations, proofs, tautologies, soundness. Predicate calculus: variables, quantifiers, equivalencies. Models of computation: logic circuits, finite automata, Turing machines.

The study of secrecy in digital systems. Methods of keeping information secure from classical systems dating from ancient times to modern systems based on modern mathematics. Basic methods of encryption using public key systems, block ciphers, and stream ciphers. The mathematical tools for the design and analysis of such systems. Topics will include classical cryptography, modern methods of public and private key encryption, authentication and digital signatures, hashing, and passwords.

Hardware and software organization of a typical computer; machine language and assembler language programming, interfacing peripheral devices, and input-output programming; real-time computer applications, laboratory included.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.

A course that provides an opportunity for supervised individual research and study in computer science. A topic of the course must be approved by a supervising instructor and the Computer Science Director of Undergraduate Studies. May be repeated to a maximum of six credits.