B.Tech in CSE 3rd Sem under MAKAUT
Learn Digital Electronics, Data Structure & Algorithms and Computer Organization
Lectures -28
Duration -12 hours
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Course Description
Welcome to the B.Tech. in Computer Science and Engineering 3rd Semester video lecture series, tailored specifically for students enrolled under the Maulana Abul Kalam Azad University of Technology (MAKAUT). This comprehensive course focuses on three core subjects: Digital Electronics, Data Structure & Algorithms, and Computer Organization.
Course Features:
Expert Video Lectures: Access engaging and comprehensive video lectures delivered by experienced educators who specialize in Computer Science and Engineering. Each lecture is meticulously crafted to cover the essential topics and concepts prescribed by the MAKAUT curriculum.
Focused Coverage: Dive deep into Digital Electronics, Data Structure & Algorithms, and Computer Organization, ensuring a thorough understanding of fundamental principles and advanced concepts. Our course content aligns seamlessly with the syllabus and learning objectives outlined by MAKAUT.
Visual Learning: Experience the power of visual learning with dynamic presentations, animations, and illustrative examples that simplify complex topics and enhance comprehension. Visual aids and real-world applications are incorporated to reinforce theoretical concepts and facilitate deeper understanding.
Flexible Learning: Learn at your own pace and convenience with our flexible video lecture format. Whether you prefer to study during the day or night, from the comfort of your home or on the go, our video lectures enable you to access high-quality educational content anytime, anywhere.
Comprehensive Support: Receive comprehensive support throughout your learning journey with additional resources, supplementary materials, and practice exercises designed to reinforce your understanding and application of key concepts. Our team of instructors is dedicated to assisting you in clarifying doubts and mastering challenging topics.
Goals
What will you learn in this course:
Master Digital Electronics Concepts: Develop a strong foundation in digital electronics principles, including Boolean algebra, logic gates, combinational and sequential circuits, and digital logic design techniques.
Understand Data Structures & Algorithms: Gain proficiency in fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with algorithms for searching, sorting, and graph traversal. Learn to analyze the time and space complexity of algorithms.
Grasp Computer Organization Fundamentals: Acquire a comprehensive understanding of computer organization and architecture, covering topics such as CPU organization, memory hierarchy, I/O systems, instruction set architecture (ISA), and assembly language programming.
Apply Concepts to Real-World Scenarios: Explore practical applications of digital electronics, data structures, and computer organization through case studies, examples, and hands-on exercises. Learn to solve real-world problems using the principles and techniques learned in the course.
Enhance Problem-Solving Skills: Develop critical thinking and problem-solving skills essential for designing efficient algorithms, optimizing digital circuits, and analyzing computer systems. Practice solving a variety of problems to strengthen your problem-solving abilities.
Prepare for Examinations and Academic Success: Equip yourself with the knowledge and skills necessary to excel in examinations, assignments, and projects related to Digital Electronics, Data Structure & Algorithms, and Computer Organization. Gain confidence in your academic pursuits and achieve academic excellence.
Prerequisites
What are the prerequisites for this course?
Foundational Knowledge in Computer Science: Students should have completed introductory courses in computer science or have a basic understanding of programming concepts, computer architecture, and digital systems.
Mathematical Aptitude: A good grasp of mathematical concepts such as algebra, calculus, and discrete mathematics is beneficial, as these concepts are often applied in digital electronics and algorithm design.
Programming Skills: Familiarity with programming languages such as C, C++, or Java is advantageous, as students will encounter programming exercises and examples in the context of data structures and algorithms.
Logical Reasoning: Strong logical reasoning skills are essential for understanding complex algorithms, designing efficient solutions, and analyzing digital circuits.
Previous Coursework: Completion of relevant courses in digital electronics, data structures, and computer organization at the introductory level can provide a solid foundation for the topics covered in the 3rd semester.
Curriculum
Check out the detailed breakdown of what’s inside the course
Digital Electronics
6 Lectures
- LOGIC GATE COBINATIONAL CIRCUIT INTRODUCTION 36:50 36:50
- K-Map minimization 33:27 33:27
- Digital Implementation 32:00 32:00
- Excitation Table of Flip flop 27:50 27:50
- Flip Flop continuation 27:50 27:50
- COUNTER 33:13 33:13
Data Structure & Algorithms
16 Lectures
Computer Organisation
6 Lectures
Instructor Details
Dr. Santanu Modak
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