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    Moodle

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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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    • Please contact your trainer on 0717092025, Mr. Wawire Eddy

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Available courses

DESCRIPTIVE DATA ANALYSIS

This course specifies the competencies required to perform descriptive data analysis. The analysis describes the basic features of the data in a study. they provide simple summaries about the sample and the measures used in the data. The unit involves, receive data from primary or secondary source, perform further clean up if from secondary source, apply descriptive statistical tools, record descriptive statistics output, interpret output and prepare report, prepared presentation tools

 

RESEARCH CONCEPTS

This course describes the skills, knowledge and competences required to: Formulate a research problem, objectives/hypothesis, develop research proposal/literature review, develop sampling procedures, develop data collection tools, develop data analysis framework, develop research budget proposal & time plan, pilot data collection tools, analyse pilot data and validate data collection tools

It applies to leaders or managers using applied research to ensure learning can enhance individual, team and organisational performance. The intended purpose and approach to applied research may vary across a range of contexts and organisations. In this unit, the focus is on applied research to attain improved organisational outcomes.

 

COMPUTATIONAL MATHEMATICS

This unit describes the competencies required by a worker in order to apply a wide range of  mathematical calculations for work; apply ratios, rates and proportions to solve problems;  estimate, measure and calculate measurement for work; Use detailed maps to plan travel  routes for work; Use geometry to draw and construct 2D and 3D shapes for work; Collect,  organize and interpret statistical data; Use routine formula and algebraic expressions for work  and use common functions of a scientific calculator

ENGINEERING MATHEMATICS

This unit describes the competencies required by an Electrical Technician to apply a wide range of engineering mathematics in their work. This includes applying Algebra, Apply Trigonometry and hyperbolic functions, Apply complex numbers, Apply Coordinate Geometry, Carry out Binomial Expansion, Apply Calculus, Solve Ordinary differential equations, Apply Laplace transforms, Apply Power Series, Apply Statistics, Apply Fourier Series,  Apply Vector theory, Apply Matrix, Apply Numerical methods, Apply concept of probability for work, Perform commercial calculations and Perform Estimations, Measurements and calculations of quantities.