This course covers numerical techniques for solving problems in applied mathematics, including error analysis, roots of equations, interpolation, numerical differentiation and integration, ordinary differential equations, matrix methods and selected topics from among: eigenvalues, approximation theory, non-linear systems, boundary-value problems, numerical solution of partial differential equations.

This course looks at network protocols, network operating systems, and the construction and maintenance of server sites.

Symbolic and numerical computations used in scientific modelling based on Calculus and Linear Algebra, with emphasis on applications in physics and biology. Topics include error analysis, linear systems, roots of equations, interpolation, numerical differentiation, and integration. Further topics may include: eigenvalues and singular values, approximation theory, and non-linear systems.

Focuses on specialized areas in computing to build depth and strengthen technical competence beyond the fundamentals. Students learn established approaches and apply them effectively to well-defined problems. Topics and pre-requisites vary by offering and reflect current trends and faculty expertise.

An introduction to assembly language, machine architecture, low-level components of the operating system, and other low-level issues.

Basic organization of programs, optimizing program structure, modularization, data structures, search and sorting algorithms, handling large data sets, analysis of algorithms.

An introduction to web application development using current web technologies, best practices, and standards. The modern web application framework will be studied.

A rigorous introduction to computing science and computer programming. Students will learn in- depth programming concepts by seeing how object oriented (OO) concepts are employed in the design and writing of code in a variety of notations. The emphasis is on the theory of OO programming and design of solutions, as well as implementation using an OO language such as Java or C++.

An introduction to those branches of pure mathematics which are most commonly used in the study of Computing Science and/or have other practical applications. Topics include logic, proofs, switching circuits, set theory, induction, functions, languages, finite automata, combinatorics, and algebraic structures.

An elementary introduction to computing science and programming as a problem-solving tool. Fundamental concepts and terminology of computing science will be introduced. Programming skill will be obtained by using a high-level language. Topics will include: abstraction, data types and control structures, fundamental algorithms and pseudocode, computability and complexity, and computer architecture.