Course image GENSL801 - STAKEHOLDER ENGAGEMENT
Instructional Design for Blended learning using Generative AI

This module describes the skills, knowledge and attitude required to Engage stakeholders in wildlife and landscape management. The purpose of engaging stakeholders in landscape conservation is to ensure a holistic, inclusive, and sustainable approach to preserving and managing natural resources.  This will be achieved through conducting stakeholder analysis, planning landscape conservation partnerships and its implementation.

Course image HRTSH801 - SUSTAINABLE HORTICULTURE
Instructional Design for Blended learning using Generative AI

This module describes the skills, knowledge and attitude required to apply sustainable horticulture principles. It is intended for learners pursuing B -Tech in Horticulture Technology or other related qualifications. At the end of this module, learners will be able to apply regenerative agriculture, apply organic farming, manage soil-water, biodiversity and wastes in horticulture. Qualified learners are deemed competent to this competency may work alone or with others on routine tasks in various places dealing with sustainable horticulture in private farmers and agricultural research institutions.

Course image AFOPD801 - FOREST PESTS AND DISEASES CONTROL
Instructional Design for Blended learning using Generative AI

This module describes the skills, knowledge, and attitudes to be acquired by leaners for controlling of forest pests and diseases. The focus is the identification of forest pests and diseases, diagnosing, treat and preventing their spread. This will be achieved through the field assessment and collection samples, Laboratory tests for diagnosis, testing the diseases control, and application of forest pests and diseases control and prevention measures.

Course image ETTNO801- TELECOMMUNICATION NETWORKS PLANNING AND OPTIMIZATION
Instructional Design for Blended learning using Generative AI

The purpose of learning Telecommunication networks planning and optimization is to gain the knowledge, skills, and the right attitude necessary to design, deploy, and manage efficient and high-performance communication infrastructures. This includes mastering network design principles, resource optimization techniques, capacity planning, and quality of service management, cost efficiency considerations, and staying abreast of emerging technologies. The goal is to ensure the reliable, secure, and cost-effective operation of Telecommunication networks while continually adapting to advancements in the field.

Course image TOMME801- MANAGEMENT OF EVENTS
Instructional Design for Blended learning using Generative AI

This module describes the knowledge, skills and attitudes required to plan an events management company, create an event, bid for events, and execute an event. After acquiring these knowledge and skills, a student will be able to effectively manage events company.

Course image AMEMI801– PERFORMANCE OF MECHANIZED IRRIGATION
Instructional Design for Blended learning using Generative AI

This module is designed to provide undergraduate students with the essential knowledge and skills necessary for performing mechanized irrigation. It comprehensively addresses Prepare for irrigation, operate irrigation system and Maintain irrigation system.

By the end of this module, students will be well-equipped to Perform mechanized irrigation and apply their learning to real-world of agriculture.

Course image GENEM801 - ENGINEERING MATERIALS IN MANUFACTURING ENVIRONMENT
Instructional Design for Blended learning using Generative AI

After the completion of this module, BTech students in Manufacturing Technology shall be equipped with the essential knowledge and skills required to effectively select materials for manufacturing processes, perform processing of materials, and manage manufacturing wastes. Moreover, the successful completion of this module will enable students to make informed decisions regarding material selection, optimize manufacturing processes with efficiency and quality, and implement sustainable practices for waste management in manufacturing environments. By achieving this competence, students will be well-prepared to contribute to the advancement of manufacturing technology while considering environmental and sustainability factors, thereby enhancing their ability to excel in the field and address contemporary challenges in the manufacturing industry.

Course image GENMS801 - MECHATRONIC MODELING SOFTWARE
Instructional Design for Blended learning using Generative AI

This module aims to equip students with comprehensive knowledge and practical skills in utilizing advanced Modelling software tools to conceptualize, simulate, and analyse mechatronic systems and to empower students understand the principles of system Modelling, apply various software-based Modelling techniques, and critically analyse and optimize mechatronic systems, fostering their ability to innovate and solve real-world challenges in the field of Mechatronics.

Course image HWTRS801- ROAD SAFETY
Instructional Design for Blended learning using Generative AI

This module describes the skills, Knowledge and attitude required to apply road safety. At the end of this module, the trainee will be able to analyse road safety situation, perform design road safety features, manage road safety features construction.