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

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.

An introduction to spreadsheets and databases. Cell formulas, charts, macro programming are examined. Database design, decomposition; basic SQL. Tools such as Excel, Access, and MS-SQL may be used, but the focus is on concepts and design rather than skills with specific tools.

The student will gain a broad introductory understanding of information systems including how modern computers interact with networks. The student will gain problem solving skills by employing computational thinking, testing, and debugging techniques. No prior computing experience is required. Not for students with existing credit for or exemption from CMPT 140 or 166. This course may not be counted toward a minor, concentration or major in computing science.

Equips students with the essential skills and knowledge required to enter employment in the professional world of computing science. Focuses on workplace readiness, emphasizing practical soft skills for success in professional environments. Upon successful completion, students will be prepared to pursue a wide range of roles in the computing science field, being equipped with the skills needed to navigate the complexities of modern, technology-driven workplaces.