The purpose of this introductory course is to study computers and data. It gives an establishment to utilizing computers in different courses and educational module for research, correspondence, and writing. Students will be exposed to the fundamentals of hardware and its associated software and systems improvement. The course will show how the computer automates the processing of information.

This course introduces students to the fundamentals of computation problem solving. The course covers the main principles of algorithm-based problem solving and implementation of solutions using a computer programming language. Students will learn the essential programming concepts and computation problem solving such as algorithms, data flow, decomposing large problem into smaller components, program design, data types, control structures, functions and handling input and output. The course includes several labs to give hands-on experience to students.

This course covers the basic concepts of web design techniques. Its main topics are Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS). Students do not need any programming skills. previous knowledge of HTML or web design. This course introduces to students how to develop webpages and website using different tools such as HTML editors and web browsers. They will learn how to write HTML code using different techniques. They will be taught to enhance the format of websites using styling and layout, to improve webpage look and feel through images, graphics and tables and to enrich their contents by adding audio, video and multimedia files. In addition, students will work in groups to create a website combining all the techniques they have learned throughout the semester.

This course is designed to introduce database concepts and data models such as hierarchical, networks with more focus on relational databases and ER modeling. The course aims to introduce the database normalization process and enables students to design basic databases through hands-on exercises, case studies, and a teamwork project.

Multimedia Technology course will enhance the understanding of fundamentals of multimedia techniques using computer software. The course shall go into deep details of defining features, uses and practical development considerations for each of the major multimedia content such as text, graphics, sound, and video. Several compression algorithms for digital and analog multimedia content will be covered. A portion of this course concentrates on how communication of multimedia content works by highlighting various networking techniques to efficiently communicate by avoiding errors in communication. The course includes several hands-on exercises on creation and manipulation of multimedia content using various tools like Adobe Photoshop, Audacity and Windows Movie Maker etc. These exercises will strengthen the practical multimedia production skills. Furthermore, students will be equipped with skills and knowledge of enhancing the web pages using HTML and ASP.NET language embedded codes for video, sound, text and images.

This course focuses on topics such as DBA roles, DBMS security, data administration, backup and recovery, clustering and replication, resource management and database tuning. The course aims at equipping the students with the following learning outcomes.

Students will learn about operating systems without getting into detail about internal algorithms. Case studies involving operating systems and networks are used by students to gain an understanding of how operating systems work and their role in Computers. The course covers structures of operating systems, processes and process synchronization, main memory, storage structure mass, file systems, operating system protection and security, virtual machine and UNIX flavors. Students learn to monitor, secure and configure an operating system using a UNIX flavors.

Computer Ethics is an interdisciplinary course. The course reflects the rapid expansion of information technology and the civic and ethical challenges that have emerged from the expansion. The course content is organized around a number of issues that are of immediate concern, including threats to privacy from massive database, data mining, high-speed networks, workplace surveillance, the electronic theft of intellectual property, such as music, video, film and text, and catastrophic computer -related accidents such as airplane crashes and nuclear power plant shutdowns.

Pre-Internship is a course designed for students seeking an internship. The course will prepare students to successfully plan their internship by researching and identifying potential internship opportunities, creating professional resume and letter of introduction, developing interviewing and networking skills as well as a portfolio per industry requirements. Students will go through different learning modules including experiences, teamwork skills, communication skills, leadership skills, problem solving, self-management and professionalism to be able to make the most of their internship.

CCIT offers the Internship program as a graduation requirement for students in the Computer Science and IT Management programs. This program allows students link theory to real world practice. The student is required to complete 280 working hours within 2 months. During this time, the student submits 4 reports explaining the tasks conducted and the skills gained/improved. At the end of the semester, the student provides an oral presentation that explains his/her performance during the internship.

The course provides a hands-on introduction to fundamental technologies that are essential in building and marketing e-commerce solutions. Students will learn the skills to utilize available software to create a fully functional ecommerce website with shopping cart and secure order processing, and methods to market it using online advertisement. The course emphasizes the importance of back-end server applications interfacing with a database and teaches its development. Topics covered include business models for e- Commerce, e-Commerce Infrastructure, e-Commerce Security and payments, e- Commerce marketing and advertising, ethics, law and online media. This course requires that students should have working knowledge of HTML and database management before taking this course.

The course is aimed at introducing the students to the interdisciplinary field of Human Computer Interaction which integrates concepts from Computer Science, Design and Cognitive Psychology. Topics include introduction to Human Computer Interaction, Interaction Design principles, User Experience, Usability Testing Evaluating and Designing interfaces. The course will be a mix of theory and practice; where the concepts will be introduced, and interface prototyping and evaluation will be conducted.

Advanced Topics in IT uses a variety of teaching strategies to expose students to real world scenarios which are current industry challenges. The approach ensures CCIT graduates are equipped with contemporary skill sets required in the ever-changing Information Technology industry. The course provides a platform for students, academics, and practitioners to discuss various specializations in the Information Technology industry. Learning of soft and hard skills are reinforced through write ups, oral and presentation of professional reports. The course enables students explore distinct areas of Information Technology which are not covered in the regular course work and focuses on the identification of long-term overall aims and interests and the means of using Information Technology to help businesses achieve their organizational goals. Topical issues including using Information Technology to elevate production by suppling uninterrupted processes which optimize resources and allow organizational leaders to make quick, accurate, and consistent decisions are studied via case studies analyses. By learning through an array of teaching methods and cutting-edge research in Information Technology students are prepared for successful leadership roles in organizations and government. Students on this course also acquire skills and knowledge that ensure any implemented Information System meets industry best practice. Topics covered in this course include Information Technology implementation strategies, Operations and post implementation of Information Technology, Information Technology program and project management, Organizational change and Process Reengineering, global ethics and security management, value chain and data analysis.

This course aims to prepare the students for applied self-directed capstone experience. The course aims at addressing problem identification within the field of study, apply project management principles to prepare project deliverables, and present project proposal.

The goal of the capstone graduation project is to evaluate the aptitude of students to independently complete a project in an area of their preference (e.g., software and web development, network administration and security systems, database systems, and digital forensics). The responsibilities required are identifying a research area and developing a project proposal identifying the research aim, objectives, research plan, time schedule, and estimated budgets. Students are required to present their findings through an oral presentation and written thesis.

The focus of this course is to explain the vital role of decision support systems (DSSs) for decision making in modern business environment. The course delivers both theory and practice behind DSSs and how Business Intelligence (BI) supports different managerial tasks and processes for individuals and organizations. The concepts, theories, and technologies of DSSs are explained, and the components and tools of BI, from data collection, data modeling, and data analysis, are also covered. The course provides the knowledge for students to understand the analytical, logical, and mathematical foundations of BI modeling and explains modern technologies used in creating decision support systems. These include data visualization, data warehouses, data mining, big data analytics and knowledge management. An emphasis will be given to students to acquire the necessary skills to develop rudimentary decision support systems through several lab exercises using standard software packages.