A Data Structures course provides a foundational understanding of how to organize, store, and manage data efficiently within computer programs, covering key concepts like arrays, linked lists, stacks, queues, trees, and graphs. Courses also focus on algorithm analysis to understand time and space complexity using Big O notation, implementing these structures in a chosen programming language like C and python.
- Teacher: Dr. Ashanta Ranjan Routray
This course explores the interface between traditional Indian Knowledge Systems (IKS) and modern life sciences, highlighting how ancient wisdom contributes to contemporary understanding of health, environment, and sustainable living. It introduces the philosophical foundations of Indian sciences through Ayurveda, Yoga, Siddha, and Unani, focusing on concepts of health, disease prevention, nutrition, and holistic well-being. The curriculum emphasizes indigenous practices in biodiversity conservation, agriculture, and ethnomedicine, while drawing parallels with modern biology, ecology, and biotechnology. Students gain insights into traditional food systems, medicinal plants, and lifestyle practices, examining their relevance for modern challenges such as stress, chronic diseases, and environmental sustainability. Through case studies, comparative analysis, and integrative perspectives, the course fosters appreciation of India’s scientific heritage and equips learners with knowledge to blend traditional wisdom with modern scientific approaches for innovation and societal benefit.
- Teacher: Manojit Bhattacharya
Summer Internship Programme on ACT 2025
- Teacher: Dr. Ashanta Ranjan Routray
Students learn how to use data structures to efficiently manage and manipulate large datasets, optimize algorithms, and solve problems.
- Teacher: Dr. Ashanta Ranjan Routray