This course is designed to give an introductory knowledge to conduct a systematic investigation of a problem, which focuses on business processes that can be solved using Computing. The students will gain an overview of research intent and design, ethics, methodology and technique, format (as per the recommended formatting and guidelines of the department in writing the capstone / research paper) and presentation, as well as data management and analysis informed by commonly used statistical methods. The course will also introduce procedures and techniques on evaluation and assessment of published scholarly works in the field of computing and this will also develop each student’s ability to use this knowledge to become more effective research and development computing professionals.

This is an advanced course for Integrative Programming and Technologies focusing on defining web service through creating valid XML documents, etc.  The course shall also utilize network programming / socket programming to demonstrate communication between two different services using TCP/IP sockets and datagram sockets. The following concepts will also be given attention: the different protocols to communicate with hardware devices, design patterns such as singleton, factory method, façade, proxy, decorator and observer and how these can be applied to solve a problem; and software security practices including security coding practices.

This is an advanced course for Integrative Programming and Technologies focusing on defining web service through creating valid XML documents, etc.  The course shall also utilize network programming / socket programming to demonstrate communication between two different services using TCP/IP sockets and datagram sockets. The following concepts will also be given attention: the different protocols to communicate with hardware devices, design patterns such as singleton, factory method, façade, proxy, decorator and observer and how these can be applied to solve a problem; and software security practices including security coding practices.

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.

This course an introduction to computer-based information tools that are fundamental for librarians and information professionals. Includes concepts in information technology such as hardware and software, networks, the Internet, trends and issues of ICT in libraries.

 This course provides an overview of the Computing Industry and Computing of profession, 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.

This course will introduce students to fundamental concepts and methodologies for managing and improving business processes. One of the key goals is to raise awareness of the students on the concepts and foundations of business process modeling, as well as the possibilities for employing business process modeling approaches to improve the efficiency and effectiveness of organizations. Utilization of BPM tools to help in modeling and analyzing business process and innovate and enhance processes to simplify business operations in an organization.

This course is a continuation of Information Management 1 (CCIT 105). The course will include coverage of basic database administration tasks and key concepts of data quality and data security. In addition to developing database applications, the course will help the students understand how large-scale packaged systems are highly dependent on the use of DBMSs. Building on the transactional database understanding, the course introduces data and information management technologies that provide decision support capabilities under the broad business intelligence umbrella. At the end of the semester the students are expected to develop a software that caters database management.

This course provides an overview of the Computing Industry and Computing of the profession, 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 covers the standard data representation and algorithms to solve computing problems efficiently (with respect to space requirements and the time complexity of algorithms). This covers the following: Stacks, Queues, Trees, Graphs, Maps, and Sets. A thorough discussion of sorting and searching.

The course shall introduce to the fundamental aspects of Information Assurance and Security (AIS).  Topics shall include security mechanisms, operational issues, IAS Policies, attacks, security domains, information states, risk assessment and threat analysis.  Further, this shall include discussion on the impact of IAS in the field of computing.

This course is the culmination of the accumulated educational experiences and trainings of the students at CCS in a single original research project of their choice, subject to approval and supervision of a faculty mentor. A final course that caps three years of study in form of a capstone relatively topics parallel with the Research cum Extension priorities of the department and project agendas indicated in the CMO as Information Technology Major.

This course is designed for undergraduate engineering students with emphasis on problem solving related to societal issues that engineers and scientists are called upon to solve. It introduces different methods of data collection and the suitability of using a particular method for a given situation.

The relationship of probability to statistics is also discussed, providing students with the tools they need to understand how "chance" plays a role in statistical analysis. Probability distributions of random variables and their uses are also considered, along with a discussion of linear functions of random variables within the context of their application to data analysis and inference. The course also includes estimation techniques for unknown parameters; and hypothesis testing used in making inferences from sample to population; inference for regression parameters and build models for estimating means and predicting future values of key variables under study.