This course covers the design of distributed applications and systems on different platform. Students will have hands on instruction in but not limited to migrating complex, multi-tier applications, designing and deploying enterprise-wide scalable operations, implementing cost control strategies. After the completion of this class students will be ready to take and pass the CompTIA’s Cloud+ CV0-002 certification exam
This course examines the fundamental concepts that comprise the information system (IS) functions in business and society, with emphasis on systems analysis & design. Together, we will study, discuss, analyze, and perform various exercises that bring into focus the myriad issues related to this most important field of study that affects virtually all aspects of business and society. Drawing from classroom and on hands assignments, students will be better able to understand the numerous technical, managerial, regulatory, and social issues associated with identifying and analyzing requirements for subsequent development of information-based systems. These assignments will highlight the methodologies and modeling techniques that have evolved since the introduction of the computer to the business function, making possible the overall objective of deploying robust and efficient information systems. Topics covered throughout this course will include the systems development life cycle, the role of the systems analyst, organizations as information systems, introduction to systems selection, definition of systems requirements, feasibility analysis, systems design, and system architecture.
- Teacher: Marcel Andino
This course provides a comprehensive understanding to the world of big data and analytics. Big data is now a reality, the volume, variety, and velocity of data coming into the enterprise continues at an unprecedented level. Data analytics is the process of examining data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. In this course, students will learn how to connect and visualize complex data by utilizing techniques such as aggregators, time series, dashboard customization, storytelling, metadata grids, dual axis charts, etc. Basic statistical methods will be used such as regression, central tendency, and dispersion.