Resources for Computer Science Undergraduate Courses: Study Guides, Tutorials, and More

About Me

Welcome to my personal website! Throughout my career, I had the privilege of serving as an educator at various esteemed Institutions. I was a part of the faculty at MBM (1985-2013), taught at the Indian Institute of Technology Jodhpur (IITJ) (2010-2017), and at JIET (Jodhpur Institute of Engineering & Technology) (2014-2020). Additionally, I held the position of Director and Professor at JIET almost seven years. More About...

This website serves as a comprehensive resource, housing Lecture notes, Tutorials, and Assignments tailored for both undergraduate and postgraduate students, pursuing computer science. The materials presented here were meticulously crafted and typeset by me using LaTeX and HTML. They have been refined and improved over the time, reflecting the dedication and passion I poured into these courses during my tenure as an educator. Explore the wealth of knowledge and resources I've compiled for the benefit of all enthusiasts pursuing their undergraduate and graduate programs.

Books Authored

Theory of Computation - Automata, Formal Languages, Computation and Complexity (Feb. 2025)

CONTENTS: “ Theory of Computation - Automata, Formal Languages, Computation and Complexity: ” Finite Automata; Regular Expressions; Pushdown Automata; Context-free Languages and Grammars; Turing Machines; Linear Bounded Automata; Computational Complexity; Decidability and Unsolvability.

Publisher's Note: “This book offers a fresh perspective on the study and teaching of the Theory of Computation. The author's selection of topics and the comprehensive set of questions demonstrate extensive knowledge and years of experience in both teaching and research. It addresses practical aspects of computing models that are often overlooked. The book's emphasis on pedagogy, through carefully crafted exercises and clear elucidation of learning outcomes and chapter summaries, is a refreshing approach to the subject. With the right platform, this book has the potential to be adopted as a textbook in universities worldwide.
The book covers new developments not typically addressed in other texts on the subject, such as algebraic theory, new applications of finite automata and regular languages, and topics from compiler theory that are closely related. It also explores several new relationships among models, with a natural progression of chapters. Key strengths of this book include its coverage of contemporary and relevant topics, practical applications of theoretical concepts, an extended Chomsky Hierarchy, and discussions on decidability, undecidability, and unsolvability. It also serves as a foundational resource for those engaged in research in computer science.”

Fundamentals of Artificial Intelligence

CONTENTS: “ Fundamentals of Artificial Intelligence ” introduces the present day AI and covers the recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Machine learning, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision.
Publisher's Note: “The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.”

e-Learning Lectures and Tutorials

These e-learning resources cater to a broad audience by offering comprehensive lecture notes and tutorials on various computer science topics: from foundational knowledge in Computer Fundamentals and C Programming to advanced subjects like Artificial Intelligence, Computer Organization & Architecture, Theory of Computation, Operating Systems, Compiler Design, Natural Language & Speech Processing, Theory of Formal Languages, Advanced Algorithms, and Distributed Algorithms. These materials provide accessible and informative content for individuals seeking to enhance their understanding of diverse aspects of computer science, making it suitable for both beginners and those pursuing advanced studies in the field.

A. Computer Fundamentals with C Programming

Computer fundamentals and C programming (Tutorials)

B. For B.E./B.Tech./MCA/Msc. (Computer Science & Engineering)

Computer Organization & Architecture (Lecture notes slides & Tutorials)
Operating Systems (Lecture notes' slides & Tutorials) (Taught in 2023-24, at JNV University)
Compiler Design (Lecture notes & Tutorials)

C. For M.E./M.Tech./PhD. Programs (Computer Science & Engineering)

Machine Learning (Lecture notes' Slides & Tutorials) (Session 2024-25)
Natural Language & Speech Processing (Lecture notes & Tutorials)
Advanced Algorithms (Lecture notes) (M.Tech.)
Distributed Algorithms (Lecture Notes) (M.Tech.)
M.Tech. & PhD Thesis typesetting

PhD Research Methodology (Engineering)

For CS & other Engineering faculty

Faculty development in Engineering is crucial as it empowers educators with the latest advancements in technology, pedagogy, and industry practices, ensuring they deliver relevant and high-quality education to students. By continuously updating their skills and knowledge, faculty members can better prepare students for the dynamic and rapidly evolving landscape of engineering, fostering innovation and excellence in the field.

Faculty Development Lectures/Talks (Lectures' PPTs)

CS Blogs

The Blogs section delves into cutting-edge technologies, in-depth analysis, and crucial domains within the realm of computer science, artificial intelligence (AI), and machine learning (ML). It explores their profound influence on both the industrial landscape and society as a whole. Computer science Blogs

Contact

Email: krc@krchowdhary.com