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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

Probability & Statistics introduces students to the fundamental concepts, tools, and methods used to collect, analyze, and interpret data. This course equips learners with the ability to understand variability, make predictions, and draw informed conclusions based on quantitative evidence. Topics include descriptive statistics, probability theory, random variables, sampling distributions, confidence intervals, hypothesis testing, and an introduction to regression analysis. Through real-world examples and hands-on data activities, students will build strong analytical reasoning skills and learn how statistical thinking supports decision-making across various disciplines.

Prerequisites: Basic algebra
Delivery Mode: Online
Assessment: Quizzes, assignments, and a final data analysis project
Duration: 4 weeks — 8 sessions total

✔ By the end of the course, students will be able to:

  • Summarize and visualize data using descriptive statistics

  • Apply probability rules to analyze uncertain events

  • Model phenomena using common probability distributions

  • Conduct statistical inference using sampling distributions

  • Build and interpret confidence intervals and hypothesis tests

  • Evaluate relationships using correlation and simple regression