Instructor Profile:
Dr. G.V.V. Jagannadha
Dr. G.V.V. Jagannadha Rao serves as an Assistant Professor in the Department of Mathematics within the Faculty of Science at Kalinga University, Naya Raipur, Chhattisgarh. Holding a Ph.D. in Mathematics and additional degrees of M.Phil in Engineering Mathematics and M.Sc in Mathematics, Dr. Rao boasts an extensive academic journey spanning over 23 years, showcasing a profound commitment to teaching and research.
His expertise lies in the realms of Functional Analysis and Operations Research. Over the course of his career, Dr. Jagannadha Rao has actively participated in more than thirty workshops, Faculty Development Programs (FDP), and Short Term Training Programs (SSTP). Additionally, he has presented research papers at 15 national and international conferences, contributing significantly to the academic discourse.
Dr. Rao’s research acumen is underscored by the publication of over 30 research papers in journals indexed by SCI, Scopus, and UGC Care. Furthermore, he has authored two book chapters in national and international publications, solidifying his presence in scholarly contributions.
His dedication to academic advancement is evident in the role he has played as the Convenor for an AICTE-sponsored Conference, where he successfully secured a substantial grant. As an organizing member, he has played pivotal roles in national conferences focusing on crucial themes such as Climate Change, Sustainable Development, and Smart Agriculture.
Beyond his academic endeavors, Dr. G.V.V. Jagannadha Rao has delivered impactful guest lectures on topics ranging from scientific paper writing to the application of mathematics in engineering. His influence extends to the review process of Scopus/Peer-reviewed Journals, reflecting his commitment to maintaining high academic standards.
As a testament to his professional engagement, Dr. Rao holds life memberships in esteemed organizations such as the Allahabad Mathematical Society and the National Institute for Technical Training & Skill Development. Additionally, he is a life member of the Indian Science Congress Association (ISCA), Kolkata, further establishing his standing in the academic community.
Glimpse of Instructor Background
Educational Background:
- D. in Mathematics
- Phil in Engineering Mathematics
- Sc. in Mathematics
Areas of Specializations:
- Functional Analysis
- Operations Research
Professional Experience:
- Jagannadha Rao has a wealth of experience in academia, with a career spanning more than two decades. His expertise lies in the fields of Functional Analysis and Operations Research.
Research Contributions:
- His contributions to research include more than 30 publications in SCI/Scopus/UGC Care listed Journals and two book chapters in national and international books. Dr. Jagannadha Rao has actively participated in over 30 Workshops/FDP/SSTP and presented papers at 15 National and International conferences.
Organized Webinars and Conferences:
- Jagannadha Rao has played a pivotal role in organizing academic events. Notable instances include being the Convenor for an AICTE-sponsored Conference with a grant of 2.21 Lacs and organizing member for National and International Conferences on Climate Change and Sustainable Development.
Guest Lectures and Keynote Speaking:
- He has been invited as a keynote speaker for workshops on scientific paper writing and has delivered guest lectures on Optimization in transportation, Research Methodology, and Applications of Mathematics in Engineering.
Professional Memberships:
- Member of Allahabad Mathematical Society
- National Institute For Technical Training & Skill Development
- Life membership of Indian Science Congress Association (ISCA), Kolkata
Reviewing Activities:
- Jagannadha Rao serves as a reviewer for Scopus/Peer-reviewed Journals, contributing to the scholarly peer-review process.
His commitment to education, extensive research background, and active participation in academic events make Dr. G.V.V. Jagannadha Rao an invaluable asset to the Department of Mathematics at Kalinga University.
Module-wise course content: Regression Analysis
Module 1: Regression Analysis
In this module, we delve into the fundamentals of Regression Analysis, exploring its conceptual underpinnings, properties, and characteristics. We also examine the assumptions that form the basis of Regression Analysis and discuss its practical applications and diverse uses.
Module 2: Probability Distributions
This module provides an overview of Probability Distributions, covering key concepts and applications. We specifically delve into the Binomial Distribution, discussing its characteristics and real-world applications. Additionally, we explore the Poisson Distribution, its unique features, and practical use cases. The module concludes with a comprehensive understanding of the Normal Distribution, elucidating the concepts behind the famous Bell Curve.
Module 3: Testing of Hypothesis
A stepwise approach to Testing Hypotheses is the focus of this module. We explore both Parametric Tests, their principles, and applications, as well as Non-parametric Tests, providing an overview and practical implementation insights. This module equips learners with a comprehensive understanding of hypothesis testing methodologies.
