This course provides a comprehensive introduction to the principles and practices of safety in the chemistry laboratory. Emphasis is placed on developing the knowledge and skills necessary to conduct experimental work responsibly while minimizing risks to oneself, others, and the environment. The module covers essential aspects of laboratory safety, including the correct use of personal protective equipment (PPE), proper procedures for chemical handling and storage, protocols for emergency response, environmentally responsible waste management, and the safe operation of laboratory equipment course objectives, scope, and importance.
Course Syllabus
This course offers an overview of risk management and insurance, focusing on their role in safeguarding individuals, businesses, and society from financial losses. Students will learn how insurance works through risk pooling, premiums, and compensation, while exploring its key features, functions, and real-life applications. The course also introduces the fundamental principles of insurance—such as utmost good faith, insurable interest, and indemnity—emphasizing their practical relevance. Through case studies, quizzes, and assessments, learners will develop the knowledge and skills needed to apply insurance concepts effectively and understand its importance in financial security and economic growth.
HTML5 is the core of modern web development, helping you build structured and interactive web pages. This course introduces essential elements such as basic HTML tags, forms, multimedia components, and the <iframe> tag, supported by practical, hands-on examples for better understanding. You will also complete a project where you design your own profile webpage, applying all the concepts learned throughout the course. Your final submission will include a screenshot of the completed page. By the end of the course, you will have practical experience in creating clear, user-friendly webpages using HTML5, preparing you for more advanced web development topics.
Course Syllabus
Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
Course Syllabus