COMPUTER SCIENCE ENGINEERING SUBJECTS

For the purpose of developing hardware and software applications, the computer science engineering syllabus places a strong emphasis on design, computational methods, and programming languages. The development of computer application software is the main focus of ComputerScience engineering. Computer Science engineering programs are offered at the diploma, undergraduate, graduate, and doctoral levels. A number of institutions also provide certificate programs in computer science engineering.

The emphasis of the computer science engineering subjects is on the introduction of computer engineering, fundamental programming languages, scripting languages, engineering principles, fundamental science theories, and technical and professional English.

Some of the all-time common subjects in the B. Tech Computer Science Syllabus include Engineering mathematics, environmental science and engineering, engineering physics, engineering chemistry, computer-aided engineering drawing, operations, software testing, etc. Projects and lab exercises are given to candidates to aid in their understanding of the material.Students are required to complete exams, vivas, seminars, surveys, publishing of papers, research, and internships as part of the course.

Operating Systems, Design and Analysis of Algorithms, Programming Languages, Microprocessors, Cryptography, and Network Security are the core subjects for B. Tech Computer Science syllabus.      

Software Reliability, VLSI Design, Artificial Intelligence, Data Analytics, Data Mining, Parallel Algorithms, Robotics, and other topics are available as electives in the B. Tech Computer Science Syllabus. Engineering practices lab, digital electronics and logic design lab, compiler design lab, web technology lab, etc. all have available lab topics.           

The internal assessment for both the core course's theory paper and the advanced course's theory paper will be worth 40 out of a possible 60 points. Internal evaluation practical marks will carry 50 and 25 marks, respectively.

B. Tech CSE Entrance exam syllabus for JEE Mains is one of the toughest entrance tests used for admission. The three main disciplines of the B. Tech CSE Entrance Exam syllabus are math, physics, and chemistry.

To learn more about the Computer Science engineering Subjects and Syllabus, read the entire post.

B. Tech Computer Science Syllabus

Semester I	Semester II
Engineering Physics	Data Structures & Algorithms
Engineering Chemistry	Object-Oriented Programming Using C ++
Computer-Aided Engineering Drawing	Developing Personality and Soft Skills
Technical English	Java Programming
Engineering Mathematics– I	Engineering Practices Lab-I
Computer Programming	Engineering Mathematics – II
Computer Programming Lab	Environmental Science and Engineering
Physics lab	Data Structures & Algorithms Lab
Chemistry Lab	Object-Oriented Programming Lab
Engineering Practices Lab-I	Java Programming Lab
Communication Skills Lab-I	Aptitude-I
Semester III	Semester IV
Engineering Mathematics – III	Operating Systems
Digital Systems	Principles of Programming Language
Computer Networks and Circuit Theory	Probability and Statistics
Microprocessor & Computer Architecture	Design Project-I
Design and Analysis of Algorithms	Digital Electronics & Logic Design
Database Management Systems	Operating System Lab
Algorithms Lab	Principles of Programming Language Lab
Aptitude-II	Digital Electronics & Logic Design Lab
Microprocessor and Microcontroller Lab	Computer Organisation
Database Management Systems Lab	Computer Organisation Lab
Networking lab	Aptitude-III
Semester V	Semester VI
Web Technology	Engineering Elective-I
System Software Engineering	Engineering Elective-II
Open Elective-I	Open elective-II
Discrete Mathematics	Principles of Compiler
Theory of Computation	Design Modern Software Engineering
Elective-I	Engineering Elective-II
Web Technology Lab	Software Engineering Lab
System Software Lab	Comprehension and Communication Skills Lab
Skill development in programming	Compiler Design Lab
Placement Preparatory Program	Elective Lab-II
Elective Lab-I	Elective Lab-III
Design Project-II	Personality Development Lab
Semester VII	Semester VIII
Data Warehousing and Data Mining	Viva-voce
Professional Elective-II	Seminar
Professional Elective-III	Project / Internship
Open Elective-III	Research Paper Publication
Professional Elective-I
Engineering Elective-V
Software Design Project – III
Data Mining Lab
Mobile Computing
Viva-voce

 

Computer Science Engineering Subjects for Various Streams

Computer science engineering subjects have incorporated many specializations as a result of businesses digitizing their operations and the discovery of new technology. Every one of these specializations in computer Science engineering is in demand and provides a range of employment options. See the computer science engineering subjects below, broken down by various specializations.

Stream	Syllabus
Machine Learning	Introduction to Machine Learning  Supervised Learning and Linear Regression Classification and Logistic Regression Decision Tree and Random Forest
Artificial Intelligence	Programming in JAVA Data Structures and Algorithms Basic Internet Laboratory Discrete Mathematics
Data Science	Knowledge mining from databases. Data pre-processing Multi-dimensional data modelling Classification and prediction
Internet of Things	Networking & TCP/IP Socket Programming APIs & Winsock Programming Web Programming & Security

 

Overview of Subjects in Computer Science Engineering

The curriculum for computer science engineering comprises both required and optional subjects. The majority of the core disciplines are studied during the first and fourth semesters. The core disciplines are technical arts, engineering sciences, physics, chemistry, and math. A variety of professional and elective courses, including Humanities and Social Sciences, are offered over the remaining four semesters. See the Computer science engineering subjects listed below for further information.

Subject Name	Subject Details
Software Engineering	Software Engineering and the different ideas it involves are introduced in this course. These and other concepts are explored, including Software Evolution, Service Oriented Architecture, Architectural Design, Design Patterns, Project Management & Risk Analysis, Structured Programming, and Manpower Management.
Fundamentals of Computer Science	Algorithms, termination, correctness, efficiency, problem-solving, time and space measurements, encapsulation, abstraction, interactivity, and modularity are just a few of the computer science principles covered in this course. Numerical techniques are also introduced in this section. Understanding the history of computer science begins with these subjects.
Programming	An overview of the definitions of programming languages is given in this article. Students can learn how to describe, evaluate, and use the features of programming languages with the help of this course. This course covers a variety of subjects, including Sequential Programming Languages, Nondeterminism, Lambda Calculus, and Turning Machines.
Operating Systems	An overview of operating system ideas is given in this topic. Processes and Memory, Context Switching, Scheduling, Message Passing, Semaphores, Address Translation, and other subjects are covered in this subject.
Algorithms and Data Structures	In this course, students will study object-oriented programming. Analytical collision resolution methods, binary search trees, traversals, and other topics are covered in this topic. Acyclic graphs, geometric data structures, and other connected elements are also covered in this topic. Students gain a fundamental understanding of algorithms and data structures that enable them to use these methods in computer science.
Object Oriented Programming	Implementing polymorphism, handling exceptions and multithreading, virtual functions and inheritance, and using Java and C++ for object-oriented programming.
Micro processing	The 8085 instruction set, the architecture of 8085, 8086, and other microprocessors, and the requirements for interfaces, TASM, MASM, and programs
Computer Architecture	Architecture Design, Hardwired Control Unit Design, Memory Hierarchy, Processors, Parallel Processing

 

Common Subjects in Computer Science Engineering for All Semesters

Some course topics are repeated throughout numerous semesters in the computer Science engineering syllabus. Each semester of the engineering and computer science program covers a distinct topic, ensuring that students completely understand and appreciate crucial concepts that will be helpful in their professions. See the list of frequently repeated computer Science engineering subjects that is provided below.

• Computer Programming
• Data Structures & Algorithms
• Java Programming
• Principles of Programming Language
• Database Management Systems
• Web Technology
• Computer Organisation

Common subjects in all B. Tech CSE colleges

• Computer Organization & Architecture
• Data Structures & Algorithms
• Discrete Mathematics
• Database Management Systems
• Computer Networks and Circuit Theory
• Microprocessor & Computer Architecture
• Operating Systems
• Principles of Programming Language
• Digital Electronics & Logic Design
• Theory of Computation
• Web Technology
• System Software Engineering

Optional Computer Science Engineering Subjects

Core and elective subjects are separated in ComputerScience engineering. The elective subjects are likewise categorized as optional.  To allow students to choose topics that interest them and are relevant to their professional aspirations, many B. Tech institutionshave added optional subjects to the B. Tech Computer Science syllabus. Every university offers a unique selection of electives. Review the list of elective computer engineering courses provided below.

• Cryptography and Network Security
• TCP/IP Design and Implementation
• XML and Web Services
• Artificial Intelligence
• Object-Oriented System Design
• Computer Graphics and Multimedia
• Distributed Architecture of Enterprise Applications
• Scripting Languages
• Software Architecture and Design
• Software Design and System Integration
• Distributed Database Management Systems
• Cloud Computing
• Software Quality Assurance and Software Testing
• Information Architecture
• Database Security

Lab subjects for computer Science engineering

The computer science engineering curriculum includes a few lab courses so that students can apply what they have learned in theoretical lectures to practical scenarios. To give students technical capability, the colleges integrate core and elective disciplines with a few lab courses and hands-on workshops. The lab activities also give students technical know-how and practical work experience that will be useful when they start their professional careers.

Look over the list of lab topics for computer engineering provided below.

• Java Programming Lab
• Algorithms Lab
• Database Management Systems Lab
• Object-Oriented Programming Lab
• Networking Lab
• Digital Electronics & Logic Design Lab
• Web Technology Lab
• Compiler Design Lab
• Microprocessor and Microcontroller Lab
• Operating System Lab
• Computer OrganisationLab
• Software Engineering Lab
• Data Structures & Algorithms Lab
• System Software Lab
• Data Mining Lab

B. Tech Computer Science Engineering Specializations

Candidates can select from a variety of specializations in Computer Science engineering based on their interests and the career route they intend to take. Courses in computer science engineering are available with specialties, enabling students to become experts in their chosen academic areas and pursue careers in those particular engineering sectors. Before concentrating on their master's degree program, many people pursue the normal B. Tech Computer Scienceengineering as their undergraduate degree.

Examine the many specializations in B. Tech Computer Scienceengineering using the information below.

Artificial Intelligence and Machine Learning:

Students are introduced to the idea of creating computer programs that can learn and function like a human using computer algorithms in this course, which can operate automatically and adapt to changes by using data.

• Programming in C
• Big Data
• Basic electronics
• Data structures
• Intro to IT and Cloud
• Computer System Architectural   
• Design and Analysis of Algorithm
• Web technologies
• Coding in Python
• Operating Systems
• Data Communication and Computer Networks
• Intro to Java and OOPS
• Applied Statistical Analysis of AI and ML
• Database Management and data modeling
• Mobile application development
• Intro to Machine Learning
• Robotics and Intelligent systems

Data Science:

In this course, students learn about the many theories, methods, and algorithms used in data mining and data warehousing, as well as how they are used.

• Application-based programming in Python
• Principles of electrical and electronic engineering
• Data Structures
• Computer Organization and Architecture
• Object-oriented programming using Java
• Principles of Operating System
• Intro to Biology
• Database Management system
• Theory of computation
• SQL and Visualization
• Computer networks
• Design and analysis of the Algorithm
• Virtualization and Cloud Computing
• Web Technologies
• Big Data Analytics

Internet of Things

The purpose of this curriculum is to equip students with the technical know-how necessary to develop and implement solutions to social and commercial difficulties using interconnected smart devices.

• Basic Mathematics and Physics
• Application-based programming in Python
• Principles of electrical and electronic engineering
• Data Structures
• Computer Organization and Architecture
• Object-oriented programming using Java
• Principles of Operating System
• Intro to Biology
• Database Management system
• Theory of computation
• Computer networks
• Design and analysis of the Algorithm
• Cloud Computing
• Web Technologies
• Android application development
• Compiler design
• Artificial Intelligence

Network Programming:

In this course, students learn the fundamentals of network programming in a UNIX environment.

Bioinformatics:

In this course, students learn about bioinformatics' applications, data structures, and algorithms.

B. Tech CSE Entrance Exam Syllabus

Candidates must pass national, state, or university-level entrance tests in order to be admitted to the B. Tech Computer Science engineering program. The two most popular entrance tests for admission to Computer Science engineering are JEE Mains and JEE Advanced. Candidates must diligently study and achieve the cut-off marks to be admitted to the Computer Science engineering colleges. The cut-off scores are established by each university or college in which students seek admission.

The list of subjects in the B. Tech CSE Entrance exam syllabus for JEE Mains is presented below.

JEE Main: Chemistry Syllabus

Section A : Physical Chemistry
Fundamental Theories in Chemistry	States of Matte
Atomic Structure	Chemical Bonding and Molecular Structure
Chemical Thermodynamics	Solutions
Equilibrium	Redox Reactions and Electrochemistry
Chemical Kinetics	Surface Chemistry
Section B: Inorganic Chemistry
Classification of Elements and Periodicity in Properties	General Principles and Processes of Isolation of Metals
Hydrogen	Block Elements (Earth Metals - Alkali and Alkaline)
Environmental Chemistry	Coordination Compounds
d-and-f Block Elements	P-Block Elements
Section C: Organic Chemistry
Purification and Characterization of Organic Compounds	Some Basic Principles of Organic Chemistry
Hydrocarbons	Organic Compounds Containing Halogens
Organic Compounds Containing Oxygen	Organic Compounds Containing Nitrogen
Polymers	Biomolecules
Chemistry In Everyday Life	Principles Related to Practical Chemistry

 

JEE Main: Physics Syllabus

Section A: Theory
Physics and Measurement	Kinematics
Laws of Motion	Work, Energy, and Power
Rotational Motion	Gravitation
Properties of Solids and Liquids	Thermodynamics
Kinetic Theory of Gases	Oscillations and Waves
Electrostatics	Current Electricity
Magnetic Effects of Current and Magnetism	Electromagnetic Induction and Alternating Currents
Electromagnetic Waves	Optics
Dual Nature of Matter and Radiation	Atoms and Nuclei
Electronic Devices	Communication Systems
Section B: Practical
Experimental Skills

 

JEE Main: Mathematics Syllabus

Sets, Relations, and Functions	Complex Numbers and Quadratic Equations
Matrices and Determinants	Permutations and Combinations
Mathematical Induction	Binomial Theorem and Its Simple Applications
Sequences and Series	Limit Continuity, and Differentiability
Integral Calculus	Differential Equations
Coordinate Geometry	Three Dimensional Geometry
Vectorial Algebra	Statistics and Probability
Trigonometry	Mathematical Reasoning

 

Important B. Tech CSE Books

Exam toppers and educational authorities regularly suggestchoosing the B. Tech CSE books written by the best author since theyoffer a better comprehension of the subjects. Top academics have a lot of book recommendations for kids interested in engineering and computer science. The best books will also assist you in properly comprehending each subject and scoringgood in the exam. These books are reliable sources of knowledge, and the data they offer will be accurate and instructive. These books could give readers a far more interesting understanding of the issues and their fundamental framework.

See the list of recommended B. Tech CSE Booksfor computer science engineering below.

Book Name	Authors
Mastering C++	K.R.Venugopal, RajkumarBuyya
Engineering Drawing and Graphics Using AutoCAD	Jeyapoovan T
A Textbook of Engineering Mathematics	Erwin Kreyzig
Computer Programming	Ashok Kamthane
Fundamentals of Data Structures in C?,2nd edition	Ellis Horowitz, S. Sahni, Freed
Core Java Volume I—Fundamentals, 9th Ed (Core Series)	Cay S. Horstman and Gary Cornell

 

Why is KCC ITM one of Greater Noida's best B. Tech. colleges?

Due to their stringent selection procedures, B. Tech institutions in Greater Noida provide a learning opportunity that the majority of Government B. Tech institutes in UP do not. The best feature of B. Tech institutions in Noida is that they let applicants submit applications without taking admission tests. KCC Institute of Technology and Management, which is accredited by AICTE and associated with AKTU, is dedicated to providing high-quality instruction on par with that offered by top B. Tech colleges in the Delhi-National Capital Region.

FAQS

Q1. What courses are offered in computer engineering?

Operating Systems, Design and Analysis of Algorithms, Programming Languages, Microprocessors, and Computer Software are a few of the topics covered in computer engineering.

Q2. What is the first-year curriculum for computer engineering?

Among the topics covered in the first year of computer engineering are data structures and algorithms, object-oriented programming using C++, Java programming, personality development, and soft skills.

Q3. What test is required for computer engineering?

JEE Main, JEE Advanced, KCET, GATE, SRMJEEE, and other entrance exams are examples of entrance exams for computer engineering programs.

Q4. What exactly falls under the purview of computer engineering?

Computer science, software engineering, and the design of electric and digital circuits are some of the core areas of computer engineering.

Q5. How simple is the computer engineering course?

Candidates who possess the necessary technical, mathematical, and critical thinking abilities will find computer engineering to be simple.

Q6. What training do I need for computer engineering?

An applicant must earn a bachelor's degree in computer engineering to become one. Students usually enroll in math, physics, and computer science courses.