The course introduces students to the structured and object oriented - analysis and design, use of modeling tools, adherence to methodological life cycle and project management standards. Course includes analysis of current systems, logical and physical systems design, program development plans, testing implementation, maintenance and documentation plans. This course strikes a balance between the theoretical and applied aspects of system analysis, presenting state-of-the-art systems, procedures, methodology and software. These skills are applied by allowing students to experience analyzing and designing a “live” system for an outside client.

This course covers concepts on understanding business organizations' data and how business intelligence (BI) technologies support the over-all business administration.    The course shall be emphasizing the applications of business intelligence in support of fact-based decision making.  Hence, the course will be allowing students to experience the Business Intelligence process from extracting raw data to its conversion to information through presentation using dashboards and turning it into knowledge/insights through analysis.  Further, BI tools and technologies will also be introduced, providing students the ability to use one of them to manipulate data and create tables and charts, which can aid corporate strategies, organization performance, and business competitiveness.

This course caps three years of study in a 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 trainings of the students at CICT in a single original project of their choice, which focuses on the implication of introducing a computing solution to problems on business processes. This course leads to a title proposal and subject to approval and supervision of a faculty mentor.

This course explores the design, selection, implementation and management of enterprise IT solutions.  The focus is  on  applications  and  infrastructure  and  their  fit  with  the  business. Students learn frameworks  and  strategies  for infrastructure management, system administration,  data/information  architecture,  content  management,  distributed  computing, middleware, legacy system integration, system consolidation, software selection, total cost of ownership calculation, IT investment analysis and emerging technologies. These topics are addressed both within and beyond the organization, with attention paid to managing risk and security within audit and compliance standards. Students also hone their ability to communicate technology architecture strategies concisely to a general business audience.

The course discusses the concept of project management. The tools, techniques and methodologies used to address the issues in the context of Information Systems and Technologies. Using the framework of project life cycle, the course covers various aspects pertaining to key knowledge areas such as Project Cost, Scope, Time, Integration, Human Resource, Risk and Implementation Management.

In an era where information technology changes constantly, a thoughtful response to these rapid changes requires a basic understanding of IT history, an awareness of current issues, and a familiarity with ethics. This course tries to introduce a balanced coverage of ethical problems and issues encountered by computer professionals in today’s environment. This course will cover provocative issues such as social networking, government surveillance, privacy laws, computer security and reliability, and intellectual property from all points of view. Students are asked as they face these challenges to think critically and draw their own conclusions, which ultimately prepare them to become responsible, ethical users of future technologies.

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. A thorough discussion of sorting and searching.

This course gives emphasis on the practical application of quantitative reasoning and data analysis. The core topics include descriptive measures, measures of association, sampling and sample size estimation, general linear models and non-linear models, simple linear regression and other basic mathematical tools use for decision-making.

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

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 course provides an introduction to IT infrastructure issues and basic concepts on computer networking for students majoring in Information Systems. It covers topics related to both computer and systems architecture and communication networks, with an overall focus on the services and capabilities that IT infrastructure solutions enable in an organizational context. It gives the students the knowledge and skills that they need for communicating effectively with professionals whose special focus is on hardware and systems software technology and for designing organizational processes and software solutions that require in-depth understanding of the IT infrastructure capabilities and limitations. It also prepares the students for organizational roles that require interaction with external vendors of IT infrastructure components and solutions. The course focuses strongly on Internet-based solutions, computer and network security, business continuity, and the role of infrastructure in regulatory compliance.

This course is the sequel of the principles of business process outsourcing. It discusses the deeper understanding on the business process outsourcing its terminology and management. It also provides the different processes/ operations that can be outsourced. With the different operations subject for outsourcing, various tools and techniques are introduced.

This course covers concepts on understanding business organizations' data and how business intelligence (BI) technologies support the over-all business administration.    The course shall be emphasizing the applications of business intelligence in support of fact-based decision making.  Hence, the course will be allowing students to experience the Business Intelligence process from extracting raw data to its conversion to information through presentation using dashboards and turning it into knowledge/insights through analysis.  Further, BI tools and technologies will also be introduced and their impacts on corporate strategies, organization performance, and business competitiveness.

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

This course is a continuation of Capstone Project 1, which requires defined system specifications, design and evaluation of the capstone project (as per the approved project title during the title proposal).  This leads to a full-blown project that will be presented / defended to a panel of experts and a client.

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