• Welcome to your new Gnomio site

    Now, you are in control!

    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.

    Links of interest:

    (You can edit or remove this text)

Available courses

Course Title: Linear Algebra

Course Introduction

This intensive 2-week online course in Linear Algebra offers a foundational yet rigorous exploration of core concepts essential to mathematics, engineering, computer science, data science, and the physical sciences. Designed at the degree level for 4 academic credits, the course provides learners with the theoretical tools and practical skills needed to understand and manipulate linear systems and vector spaces.

Over the duration of the course, students will study topics including vectors, matrices, systems of linear equations, determinants, eigenvalues and eigenvectors, and linear transformations. Emphasis is placed on conceptual understanding, analytical reasoning, and computational techniques, with real-world applications and problem-solving strategies integrated throughout.

Delivered entirely in online mode, the course combines video lectures, interactive modules, problem sets, and quizzes to ensure flexible yet comprehensive learning.

Assessment Method

Assessment will be conducted through a 100-mark objective-type examination, covering both theoretical understanding and applied problem-solving. The exam will test students on key concepts, definitions, computations, and interpretations, ensuring a balanced evaluation of both knowledge and application.

By the end of this course, students will have a solid grasp of linear algebraic structures and be prepared to apply them across a range of academic and professional contexts.

Linear Algebra geometrically