This module aims at equipping the learner with skills, knowledge and attitudes required
to apply Internet of Things (IoT) that facilitate effective learning at the workplace. After
completion of this module, learner will be able to apply the fundamentals of IoT as a
paradigm, and to help them become familiar with some of the foundational problems in
this realm, along with the approaches/methodologies for addressing them.
MODULE NAME: IT SYSTEMS DEVELOPMENT
CODE:ITLSD701
RTQF Level: 7
Credits: 10
Sector: ICT
Sub-sector: IT
Module Name: Algorithm and Data Structure Using C
This core module describes the skills, knowledge and attitude required to install and operate IP based devices. The learner will be able to Identify type of device to install, Install CCTV camera, install printer, operate mobile devices and maintain IP devices. He/she will be also able to select and arrange different materials, equipment and tools used when installing IP based devices.
This module describes the skills, knowledge and attitude required to
apply development operations. At the end of this module, the trainee
will be able to plan key workflows, implement CI/CD pipleline, manage
inflastructures, perform security integration, and optimize monitoring
and feedback mechanism.
This module is designed to provide undergraduate students with the essential knowledge and skills necessary for conducting effective research. It comprehensively addresses the entire research process, from problem formulation through data collection, analysis and writing an academic report, laying a solid foundation for their independent research projects. By the end of this module, students will be well equipped to navigate the complexities of research and apply their learning to real-world research endeavors.
software engineering is an engineering branch associated with the development of software product using well-defined scientific principles, methods and procedures. The outcome of software engineering is an efficient and reliable software product.
This module describes the skills, knowledge and attitude required to apply data mining and warehousing. At the end of this module, the trainee will be able to apply data warehousing, apply data preprocessing, and apply data mining.