Floating point arithmetic. Numerical linear algebra: elimination with partial pivoting and scaling. Poly- nomial and piecewise interpolation. Least squares approximation. Numerical integration. Roots of nonlinear equations. Ordinary differential equations. Laboratory exercises using software packages available at computer center.

Floating point arithmetic. Numerical linear algebra: elimination with partial pivoting and scaling. Poly- nomial and piecewise interpolation. Least squares approximation. Numerical integration. Roots of nonlinear equations. Ordinary differential equations. Laboratory exercises using software packages available at computer center.

This course focuses on the graphical human-machine interface, covering the principles of windowing systems, graphical interface design and implementation, and processing graphical data. There is an emphasis on medium-scale programming projects with graphical user interfaces using a high-level procedural programming language and concepts such as object-oriented design.

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.

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.