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:
INTODUCTION OF DATA SCIENCE
DESCRIBING DATA
DESCRIBING RELATIONSHIPS
PYTHON LIBRARIES FOR DATA WRANGLING
DATA VISUALIZATION
COURSE OBJECTIVES:
To understand the basics of algorithmic problem solving.
To learn to solve problems using Python conditionals and loops.
To define Python functions and use function calls to solve problems.
To use Python data structures – lists, tuples, dictionaries to represent complex data.
To do input/output with files in Python.
COURSE OBJECTIVES:
To learn the internal architecture and programming of an embedded processor.
To introduce interfacing I/O devices to the processor.
To introduce the evolution of the Internet of Things (IoT).
To build a small low-cost embedded and IoT system using Arduino/RaspberryPi/ openplatform.
To apply the concept of Internet of Things in real world scenario.
To understand the data science fundamentals and process
To learn to describe the data for the data science process
To learn to describe the realtionship between data
To utilize the python libraries for data wrangling
To present and interpret data using visualization libraries in python