Bachelor of Science in Computer Science

This is a test course

Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”

This course comprises of two (2) sequence semesters. The first part of the course covers the fundamental concepts and methodologies of software engineering. It emphasizes the main phases of the software lifecycle, such as requirements, design, implementation, testing, project planning. Also, it stresses the difference between the software product and process. The course incorporates a class project. 

Technology is rapidly changing and evolving. An IT professional must be able to identify the potential benefits of new technology and determine the feasibility of implementation into a given system. Students will learn to research and apply new and/or innovative technologies which are being integrated into the Information Technology environment. This course will provide students with the opportunity to investigate trends and examine the potential impact of the technology.

This course covers the use of general purpose programming language, the C programming language in particular, to solve problems. The emphasis is to train the students to design, implement, test, debug and assess programs intended to solve computing problems using fundamental programming constructs.

The course provides learning to avoid common security defects, to analyze the relationship between defensive programming and confidentiality, integrity and availability, and to write a secure program. Topics include defensive programming, secure input validation and output handling, buffer overflow attack and prevention, vulnerabilities in mobile programming, access control and confidential information, mobile malware, restriction on access to components, and isolation of file system and database, injection and inclusion, accessibility and extensibility, mutability, and serialization and deserialization.

This course comprises of two (2) sequence semesters. The first part of the course covers the fundamental concepts and methodologies of software engineering. It emphasizes the main phases of the software lifecycle, such as requirements, design, implementation, testing, project planning. Also, it stresses the difference between the software product and process. The course incorporates a class project. 

This course provides an overview of the Computing Industry and Computing ofprofession, including research and Applications in different fields; an Appreciation Computing in different fields such as Biology, Sociology, Environment and Gaming; an Understanding of ACM Requirements; an Appreciation of the history of computing; and Knowledge of the Key Components of Computer Systems (Organization and Architecture), Malware, Computer Security, Internet and Internet protocols, HTML5 and CSS.

The course introduces some fundamental concepts in automata theory and formal languages including grammar, finite automaton, regular expression, formal language, pushdown automaton, and Turing machine. Not only do they form basic models of computation, they are also the foundation of many branches of computer science, e.g. compilers, software engineering, concurrent systems, etc. The properties of these models will be studied and various rigorous techniques for analyzing and comparing them will be discussed, by using both formalism and examples.

This course is the introduction and overview of basic computer organization. Topics include Computer arithmetic: binary, hexadecimal and decimal number conversions, binary number arithmetic and IEEE binary floating-point number standard. Basic computer logic: gates, combinational circuits, sequential circuits, adders, ALU, SRAM and DRAM. Basic assembly language programming, basic Instruction Set Architecture (ISA), and the design of single cycle CPU.

This course is the second sequence of Discrete Structures 1 with an emphasis on applications to computer science concentrating on number theory, combinatorics, discrete probability, sequence and recursions, and graph theory.  The topics shall develop mathematical foundations in preparation to more specialized computer science courses.

The course will start with a brief historical perspective of the evolution of operating systems over the last fifty years and then cover the major components of most operating systems. This discussion will cover the tradeoffs that can be made between performance and functionality during the design and implementation of an operating system. Particular emphasis will be given to three major OS subsystems: process management (processes, threads, CPU scheduling, synchronization, and deadlock), memory management (segmentation, paging, swapping), and file systems; and on operating system support for distributed systems.

This course is an introduction to procedural and object-oriented programming methodology. The course allows the student to learn and apply the basic language syntax and principles of object-oriented programming to solve computational problems adhering to the standards and guidelines of documentation using java programming language. Topics include program structure, conditional and iterative programming, procedures, arrays and records, object classes, file I/O, and exceptions. It further discusses the concepts and characteristics of object-oriented technology (on encapsulation, inheritance, polymorphism and abstraction).

The course covers the standard data representation and algorithms to solve computing problems efficiently (with respect to space requirements and time complexity of algorithm). This covers the following: Stacks, Queues, Trees, Graphs, Maps and Sets. Thorough discussion of sorting and searching.

Students will perform a variety of network support skills necessary to keep a company's network running efficiently - with less downtime. Students will solve advanced company wide support problems and high-level network problems. Additionally, students will perform planning, installation, configuration, troubleshooting and upgrade services for networks.