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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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Available courses

Probability and statistics

1. Introduction

This course introduces learners to the fundamental concepts of probability and statistics, focusing on understanding uncertainty, analyzing data, and interpreting results. Learners will explore real-life applications of probability and statistical reasoning and develop skills in data collection, organization, analysis, and presentation using tables, charts, and graphs.

2. Learning Outcomes

By the end of this course, learners should be able to:

  • Define probability and statistics and explain their relevance

  • Calculate probabilities for simple and compound events

  • Collect, organize, and summarize data using statistical tools

  • Interpret and present data using tables, charts, and graphs

  • Apply probability and statistical reasoning to solve practical problems

3. Assessment

  • Formative Assessment: Observation of learners during practice exercises and participation in discussions

  • Summative Assessment: Evaluation of submitted worksheets and activities based on:

    • Accuracy of probability calculations

    • Correctness of statistical measures (mean, median, mode, range)

    • Organization and presentation of data in tables and charts

    • Application of concepts to real-life scenarios

4. References

  • Devore, J. L. (2015). Probability and Statistics for Engineering and the Sciences. Cengage Learning.

  • Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the Practice of Statistics. W.H. Freeman.

  • Khan Academy. (n.d.). Probability and Statistics. https://www.khanacademy.org/math/statistics-probability