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Fundamentals of OBE
Course Description: Importance of Outcome-Based Education (OBE)
This Moodle course provides study materials and notes on the principles and significance of Outcome-Based Education (OBE) in the modern education system. The content is compiled from the NPTEL course "Teaching and Learning in General Programs (TALG)" offered by Prof. N. J. Rao, Indian Institute of Science (IISc), Bangalore. The course introduces the concept of OBE, its key components, and its role in enhancing student-centered learning, curriculum design, assessment practices, and continuous quality improvement. Learners will gain an understanding of how clearly defined learning outcomes contribute to effective teaching, meaningful assessment, and improved educational quality in higher education institutions.
Sem 5: Environment Management and Human Rights(T)
Sem 3: Literature and/as Identity - C
AIM OF THE COURSE: The course is intended to sensitivise students to the various ways in which literature serves as a platform for forming, consolidating, critiquing and re-working the issue of identity at various levels.
OBJECTIVESOFTHECOURSE On completion of the course, the student should be aware of the following:
1. The subtle negotiations of Indigenous and Diasporic identities with-in Literature.
2. The fissures, the tensions and the interstices present in South Asian regional identities.
3. The emergence of Life Writing and alternate/alternative/marginal identities.
Introduction to ICT Tools 1
This course aims to introduce college students to a variety of ICT tools essential for academic success, creativity, professional development, and digital communication. In addition to traditional tools like word processors and spreadsheets, students will also explore specialized platforms for interactive learning, presentations, and visualization. The course will cover tools like Hot Potatoes, Mentimeter, GeoGebra, Desmos, Canva, and more, alongside core applications.
The course aligns with the National Education Policy (NEP 2020), which emphasizes the integration of technology in education, promoting digital literacy, and fostering 21st-century skills like creativity, critical thinking, and collaboration. By offering hands-on experience with these tools, the course ensures students are prepared to navigate the digital world, develop innovative solutions, and communicate effectively in their academic and professional endeavors.
Python for Data Science Practice
Basic practice course for Python
Content shared from nptel course Python for Data Science
Sem 4: Computational Data Analysis
This course introduces students to computational techniques for data analysis using Python and Tableau. It covers data handling, exploratory analysis, basic statistical modelling, and machine learning implementation using Python. The course also develops skills in creating interactive dashboards and effectively communicating insights through data visualization. |
Sem 3: Introductory Course on Data Science
The course provides students with a solid foundation in data science and its various application areas. It helps them grasp core concepts and emerging technologies in the field while teaching them how to handle data at a large scale. Additionally, students will explore key concepts in data processing.
