This course explores deeply into quantitative research methods and is designed specifically for students earning a Bachelor of Science in Information Systems. Students will learn how to use statistical tools and data analysis approaches to solve real-world problems in information systems. The course focuses on the practical application of quantitative methods to design, conduct, and analyze research, allowing students to make data-driven decisions and contribute to the advancement of information systems. Additionally, the knowledge and skills acquired in this course are essential for the preparation and writing of capstone project documentation, enabling students to carefully analyze data, present findings, and support their conclusions with real-world data.
- Faculty: Daffon, Catherine
This course covers the development of applications using web, mobile and emerging technologies with emphasis on requirement management, interface design, usability, testing and deployment, including ethical and legal considerations.
- Faculty: Mancera-Gonzales, Lovelove
- Faculty: Mancera-Gonzales, Lovelove
This
introductory course develops the knowledge and practical skills needed to
analyze, design, and communicate a proposed information system. It covers the
system development life cycle (SDLC), requirements elicitation, process and
data modeling, documentation, feasibility considerations, and basic project
planning. Through a scaffolded, team-based case project, students identify a
real organizational problem, develop structured system models and a feasible
solution, and culminate in a professional project-proposal presentation.
- Faculty: Balneg, Nelson Jr.