This course is designed to give an introductory knowledge to conduct a systematic investigation of a problem, which focuses on organizational processes that can be solved using Computing.  The students will gain an overview of research processes, design, ethics, methodologies, theories, frameworks and techniques aligned with Information Systems (IS) track.  Further, the course will also introduce procedures and techniques on evaluation and assessment of published scholarly works in the field of computing as well as data management and analysis informed by commonly used statistical tools that will develop student’s ability to become more effective research and development computing professionals.  At the end of each grading period, the students present a comprehensive literature review, extracting insights along with the phases of research.

This course is designed to give introductory knowledge to conduct a systematic investigation of a problem, which focuses on organizational processes that can be solved using Computing.  The students will gain an overview of research processes, ethics, methodologies, theories, frameworks, and techniques aligned with the Information Systems (IS) track.  Further, the course will also introduce evaluation procedures and assessment techniques of published scholarly works in the field of computing. Utilize commonly used statistical tools to develop their ability to analyze data effectively and generate meaningful conclusions.  At the end of each grading period, the students present a comprehensive literature review, extracting insights along with the phases of research.

This course emphasizes the practical application of quantitative reasoning and data analysis. The core topics include the nature of quantitative methods, descriptive measures, measures of association, sampling and sample size estimation, simple linear regression, and other basic mathematical tools used for decision-making.  Students are expected to write a business problem analysis report implementing quantitative methods.

This course introduces the foundations of discrete mathematics widely used in computing and business courses. Topics include set theory, relations, functions, logic, and graph theory, emphasizing mathematical reasoning and problem-solving skills that prepare students for various computing tasks.  At the end of the course, the students are expected to demonstrate a solid foundation in discrete mathematics through process or IS modeling using the concepts learned across topics to analyze, represent, and evaluate real-world business processes, system rules, structures, and workflows.

This course caps three years of study in the form of a capstone project, relatively topics parallel with the Research cum Extension priorities of the department and project agendas indicated in the CMO. This course is the culmination of the accumulated educational experiences and training of the students at CCS in a single original project of their choice, which focuses on the implications of introducing a computing solution to problems in business processes.  The course will develop each student’s ability to use this knowledge to become more effective research and development computing professionals. Students must defend their final project title, comprising Chapters 1–3, in an oral test to complete the course.

This course introduces the fundamental principles and concepts of Information Technology Security and Management with emphasis on organizational risk management. Students will learn core information security principles, particularly the confidentiality, integrity, and availability (CIA) triad, as the foundation of effective security programs. The course enables students to understand risk and risk management processes, examine information security frameworks, and explain the security lifecycle used in managing information systems. It also covers procedural, people, technical, physical, and environmental security controls, as well as disaster recovery and business continuity management in organizational contexts. As a culminating requirement, students will apply their learning by developing a comprehensive IT Security and Management Plan for a hypothetical industry organization of their choice.

This course is designed to give introductory knowledge to conduct a systematic investigation of a problem, which focuses on organizational processes that can be solved using Computing. The students will gain an overview of research processes, ethics, methodologies, theories, frameworks, and techniques aligned with the Information Systems (IS) track. Further, the course will also introduce evaluation procedures and assessment techniques of published scholarly works in the field of computing. Utilize commonly used statistical tools to develop their ability to analyze data effectively and derive meaningful conclusions. At the end of each grading period, the students present a comprehensive literature review, extracting insights along with the phases of research.

This course is designed to familiarize students with the basic concepts, principles, and processes related to the business organization, the functional areas of management, and the information systems used in organizations. Particular emphasis will be given to the study of management functions like planning, organizing, leading, and controlling, and orient the students on the importance of these functions and the role of each area in an organization. Additionally, the course will explore the role of information systems in supporting these management functions, enhancing decision-making, improving efficiency, and enabling effective communication within the organization. The course output is an Organizational Analysis, which focuses on the structure and design of the organization, and how the organization’s systems, including information systems, capacity, and functionality influence outputs.

This course emphasizes the practical application of quantitative reasoning and data analysis. The core topics include the nature of quantitative methods, descriptive measures, measures of association, sampling and sample size estimation, simple linear regression, and other basic mathematical tools used for decision-making.  Students are expected to develop a business problem analysis report, implementing quantitative methods.