Computer Science Learning Portal

Prof. K. R. Chowdhary

Prof. (Dr.) K. R. Chowdhary is an author, researcher, educator, and academic consultant in Computer Science and Artificial Intelligence. With more than four decades of experience in teaching, research, curriculum development, and faculty mentoring, he continues to contribute to Computer Science education through textbooks, open learning resources, lectures, research guidance, and academic consultancy.

This website brings together his books, lecture notes, course materials, tutorials, research resources, and academic material for students, teachers, researchers, and independent learners.

• 📘 Author of internationally published textbooks in Computer Science and Artificial Intelligence.
• 🎓 Former Professor, Head of Department, Director, and Scientist (BARC).
• 🔬 Research interests include Artificial Intelligence, Theory of Computation, Natural Language Processing, and Computer Science Education.
• 🎤 Invited speaker and expert lecturer at universities, engineering colleges, FDPs, and conferences.
• 🏛 Member of Boards of Studies and academic committees of universities and institutions.
• 📚 Academic advisor for Computer Science and Artificial Intelligence programmes.
• 🎯 Mentor for students pursuing higher studies, research, and professional careers.

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Computer Science Learning Resources

This website provides a collection of open educational resources for Computer Science developed from material used and refined during teaching at undergraduate and postgraduate levels.

The resources are intended for students, teachers, researchers, and independent learners. Depending on the subject, they include lecture notes, topic-wise material, lecture slides, tutorials, examples, algorithms, exercises, references, and other course resources.

The material covers important areas of Computer Science including Artificial Intelligence, Theory of Computation, Algorithms, Operating Systems, Computer Architecture, Compiler Design, Discrete Mathematics, Machine Learning, Natural Language Processing, and Distributed Computing.

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Academic Profiles

Google Scholar | ORCID | DBLP | ResearchGate

Academic Highlights

Books by Prof. K. R. Chowdhary

My books cover major areas of Computer Science and Artificial Intelligence. The book pages provide publication information, descriptions, major topics, and links to the publishers.

Theory of Computation

Springer Nature, 2025

Automata, Formal Languages, Computability, Complexity Theory, and Compiler-related topics.

Book | Course Materials | Book Summary

Fundamentals of Artificial Intelligence

Springer Nature, 2020

Knowledge representation, reasoning, search, machine learning, NLP, intelligent systems, and related AI topics.

Book | Book Summary

Discrete Mathematical Structures

PHI Learning, 3rd Edition

Logic, Sets, Relations, Graphs, Combinatorics, Algebra, and mathematical foundations of Computer Science.

Book | Book Summary

Open Course Materials & Lecture Notes

These lecture notes and course materials are based on material developed, used, and refined during courses taught in Computer Science and Engineering. They are now being made available as open educational resources for students, teachers, researchers, and independent learners.

The course pages may contain lecture notes, slides, tutorials, algorithms, examples, exercises, references, and other teaching material. Where appropriate, the material is organized topic-wise so that learners can study individual subjects without having attended the original courses.

Undergraduate Courses

• Theory of Computation
• Artificial Intelligence
• Computer Architecture
• Operating Systems
• Compiler Design
• A Short Course on Artificial Intelligence
• Computer Fundamentals & C Programming

Postgraduate Courses

• Theory of Formal Languages
• Machine Learning
• Speech and Natural Language Processing
• Advanced Algorithms
• Distributed Algorithms

Mathematical Foundations

• Discrete Mathematical Structures

Research & Academic Resources

Resources for students, researchers, and faculty members interested in academic research, thesis preparation, research methodology, and Computer Science education.

• Research Methodology
• Technical Guidelines for M.Tech. & Ph.D. Thesis Preparation

Faculty Development Resources

Resources for engineering educators covering Computer Science teaching, Artificial Intelligence education, research methodology, and advanced academic topics.

• Faculty Development Programmes

Academic Services

I collaborate with universities, engineering institutions, faculty members, and students through academic consultation, curriculum development, professional mentoring, invited lectures, and research guidance.

Available for Academic Engagements

• ✔ Invited Talks
• ✔ Keynote Addresses
• ✔ Faculty Development Programmes (FDPs)
• ✔ Curriculum Development
• ✔ Academic Consultancy
• ✔ AI & Computer Science Workshops
• ✔ Research Methodology Sessions