B. Tech Computer Science Syllabus 2021 – Semester Wise

B. Tech Computer Science Syllabus 2021 – Semester Wise

Introduction

B.Tech computer science is one of the most popular courses in the present times. The reason behind this increased popularity and competitiveness of this specialization is the advent of digitalization taking over the modern market at a spectacular rate. Along with being high in demand, this course also has the potential to open up prospects that are in the context of the future, like artificial intelligence, the internet of things, robotics, machine learning, augmented reality, and more.

Curriculum overview

The curriculum for this course is designed to acquaint students with the basics of all engineering domains in the first year. The course then transgresses into deeper and more specialized subdomains covered under computer science, divided evenly into 8 semesters spanning 4 years. Some universities like Lloyd institute of engineering and technology have also introduced special provisions for industry integrated training through specialized programs such as the co-op program. Other endeavors include frequent industrial visits, mentorship programs, and many other activities to complement classroom learning. 21st-century skills like web development, coding, programming, and much more are covered under this program. The emphasis of the course is on experiential work and practical learning, which allows learners to engage with and establish their expertise in computer technology with great significance to creativity and innovation.

Computer Science Syllabus

The syllabus of computer science mostly remains the same across all institutions with some minor changes and updates here and there. There are core subjects and elective subjects, students are given the option to choose their preferred elective according to their area of interest. Each elective contains its own extensive and diverse subject range covering all the crucial concepts that surround it. The syllabus also includes mini-projects, field projects, and internships which are deemed equivalent to the respective courses in terms of credits. All theoretical subjects contain lab sessions to ensure the practical experience of students.

Following is the detailed list of semester-wise subjects and papers covered in the BTech CSE course. These papers further include various multidimensional topics ranging from simpler concepts to more complex ones. While most of the subjects are interrelated, the major difference lies in the depth with which these papers are covered.

Semester 1 and Semester 2

S.No.	Subjects	Course Topics
1	Engineering Physics/ Engineering Chemistry	Relativistic Mechanics, Electromagnetic Field Theory, Quantum Mechanics, Wave Optics, Fibre Optics, And Laser Atomic And Molecular Structure, Spectroscopic Techniques And Application, Electrochemistry, Water Analytics, Polymer
2	Engineering Mathematics	Matrices, Differential Calculus, Multivariable Calculus, Vector Calculus
3	Basic Electrical Engineering/ Emerging Domain In Electronics Engineering	DC Circuits, Steady State Analysis Of Single Phase AC Circuits, Transformers, Electrical Machines DC Machines, Three Phase Induction Motor, 3 Phase Synchronous Machines, Electrical Installation Semiconductor Diode, Bipolar Junction Transistor, Operational Amplifiers, Introduction Of IoT System, Digital Electronics, Ic Technology, Fundamentals Of Communication, In Introduction Communication
4	Programming For Problem Solving/Fundamentals Of Mechanical Engineering And Mechatronics	Introduction, Idea Of Algorithm, Programming Basics, Arithmetic Expression, Loops, And Functions, Arrays And Basic Algorithms, Pointers And File Handling Introduction To Mechanics Of Solid, IC Engines, Fluid Mechanics And Applications, Measurement And Control System, Mechatronics
5	Ai For Engineering/ Emerging Technology For Engineering	Overview To AI, Data & Algorithms, Natural Language Processing, Artificial Neural Networks, Applications Internet Of Things, Cloud Computing, Blockchain, Digital Manufacturing, Future Trends
6	Labs	All Theoretical Courses

Semester 3

Sno.	Subjects	Course Topics
1	Data Structure	Introduction, Arrays, Linked List, Stacks, Queues, Searching, Graphs, Trees
2	Computer Organisation And Architecture	Introduction, Arithmetic And Logic Unit, Control Unit, Memory, Input/Output
3	Discrete Structures And Theory Of Logic	Set Theory, Functions, Natural Numbers, Algebraic Structures, Lattices, Propositional Logic, Predicate Logic, Trees, Graphs, Combinatorics
4	Labs	Data Structures Using C Lab, Computer Organisation Lab, Discrete Structure And Logic Lab
5	Mini Project Or Internship Assessment	--

Semester 4

Sno.	Subjects	Course Topics
1	Operating Systems	Introduction, Concurrent Processes, Cpu Scheduling, Memory Management, I/O Management, And Disk Scheduling
2	Theory Of Automata And Formal Languages	Basic Concepts And Automata Theory, Regular Expressions And Languages, Regular And Non-Regular Grammars, Post Down Automata And Properties Of Context-Free Languages, Turing Machines, And Recursive Function Theory
3	Microprocessor	Microprocessor Introduction, Pin Diagram And Internal Architecture, Assembly Language Programming, Interrupts, Classification, Peripheral Devices
4	Labs	Operating Systems Lab, Microprocessor Lab, Python Language Programming Lab

Semester 5

Sno.	Subjects	Course Topics
1	Database Management Systems	Introduction, Rational Data Model And Language, Database Design And Normalisation, Transaction Processing Concepts, Concurrency Control Technique
2	Compiler Design	Introduction, Basic Parsing Techniques, Syntax Directed Translation, Symbol Tables, Code Generation
3	Design And Analysis Of Algorithm	Introduction, Advanced Data Structures, Dynamic Programming, Algebraic Computation
4	Department Elective To Choose From	Data Analytics, Web Designing, Computer Graphics, Object-Oriented System Design
5	Department Elective To Choose From	Machine Learning Techniques, Algorithm, And Soft Computing, Augmented And Virtual Reality, Human Capital Interface
6	Labs	DMS Lab, Compiler Design Lab, Design And Analysis Of Algorithm Lab

Semester 6

Sno.	Subjects	Course Topics
1	Software Engineering	Introduction, Software Requirement Specifications, Software Design, Software Testing, Software Maintenance In Software Project Management
2	Web Technology	Introduction, Web Page Designing, Scripting, Enterprise Java Bean, Java Database Connectivity, Servlets, Java Server Pages
3	Computer Network	Introduction, Physical Layer, Link Layer, Network Layer, Transport Layer, Application Layer
4	Department Elective To Choose From	Big Data, Image Processing, Real-Time Systems, Data Compression
5	Lab	Computer Networks Lab, Web Technology Lab, Software Engineering Lab

Semester 7

Sno.	Subjects	Course Topics
1	Elective To Choose From	Embedded Systems, Application Of Soft Computing, High-Performance Computing, Human-Computer Interface
2	Elective To Choose From	Cloud Computing, Blockchain Architecture Design, Agile Software Development, Augmented, And Virtual Reality
3	Distributed System	Characterization Of Distributed Systems, Distributed Mutual Exclusion, Agreement Protocol, Failure Recovery In Distributed Systems, Transactions And Concurrency Control
4	Artificial Intelligence	Introduction, Introduction To Search, Knowledge Representation And Reasoning, Machine Learning, Pattern Recognition
5	Industrial Training	--

Semester 8

Sno.	Subjects	Course Topics
1	Elective To Choose From	Machine Learning, Game Programming, Image Processing, Parallel And Distributed Computing
2	Elective To Choose From	Speech Natural Language Processing, Deep Learning, Data Compression, Quantum Computing
3	Seminar	-
4	Project	-

Conclusion

Btech in Computer science engineering is the course of the future. Computers have revolutionized our entire outlook on the perception and use of technology, and there are no better times to exploit this disruptive force than now. In this article, we have covered everything you need to know about the syllabus and topics covered under BTech in the CSE course. The job market for BTech CSE graduates is rising at a rapid rate, and the professionalism and skills persistent to this engineering specialization can bring the students a new level of market value, prestige, and an unmatchable set of skills.