Computer Science syllabus is essentially a methodical examination of algorithms and processes for the acquisition, storage, and analysis of information. It combines theoretical knowledge with practical application of computer programmes that perform a specific function. The Computer Science course syllabus is designed for students who want to study programming in natural language, language skills, machine learning, operating systems, and quantum physics.
Computer science (CS) has emerged as a vital tool in the last few decades, with applications that are critical to business operations in a wide range of industries. With computers and other devices being utilized for communication, entertainment, commerce, and transportation, it also has a significant impact on our day-to-day activities.
Some of the core Computer science subjects include:
The top colleges that accept candidates interested in Computer Science are IIT Bombay, IIT Delhi, IIT Kharagpur, IIT Madras, Birla Institute of Technology and Science (BITS) Pilani, and Vellore Institute of Technology (VIT). The average Computer Science course fee at these colleges ranges between INR 4 LPA and INR 10 LPA. The course fee varies depending on the college's preferences. Candidates can also apply for scholarships offered by various institutes based on their grades.
The following are the most important details from the Computer Science syllabus:
Specialised Computer Science courses are available through the MTech programme. For students interested in developing knowledge faculties with integrated thinking about education research & development, application, and training, the IITs, NITs, and other prestigious colleges in India offer technical programmes. Below is a list of some popular specialisations along with thorough descriptions of each.
Specialisation | Subjects | Details |
---|---|---|
Artificial Intelligence | Knowledge and Reasoning Logic, Situation Calculus Planning, Partial-order Planning | The course improves students' understanding of artificial intelligence and its role in computing. It teaches advanced problem-solving techniques, logical reasoning, and natural language processing. |
Embedded Systems and Architecture | Introduction to Embedded Systems Embedded Processors Interfacing Standards Real-time System Design | A mini-computer is what an embedded system is. A microchip-based device is a component of a larger system designed to perform specific functions. You will be given hands-on experience working with various embedded systems that include both hardware and software components. |
Computer Networks and Distributed Systems | Cloud Computing Grid Computing Cluster Computing Supercomputing | One of the most popular areas of computing is computer networking. This course will provide students with hands-on experience with various computer networks. |
Software Systems | Data Structures & Algorithms Design Database Design & Applications Distributed computing Software Architectures | This course exposes students to real-world problem-solving and reasoning skills necessary for developing robust software systems. |
Computer Graphics, Vision and Multimedia | Graphics Systems and Graphical User Interface Geometric Display Primitives and Attributes Digital Image Fundamentals Image Enhancement and Restoration Image Segmentation and Recognition | This specialisation will assist you in simulating human interaction using multimedia and computer graphics. It teaches you how to create visually appealing user interfaces, GUIs, digital image processing, and multimedia manipulation. |
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Computer Science syllabuses year-wise for various computer science courses are listed below:
Diploma in Computer Science is a 1-3 year programme that focuses on computer programming and coding languages. Given that it is a diploma course, the depth is kept at a beginner level. The diploma in computer science syllabus includes subjects such as Applied Physics, Fundamentals of Electrical & Electronics, Applied Chemistry, Computer Centre Management, Computer Fundamentals & Applications, Programming in C, and so on.
The Semester-wise Computer Science syllabus for Diploma is given below:
Diploma in Computer Science Semester 1 Syllabus | Diploma in Computer Science Semester 2 Syllabus |
---|---|
Engineering Mathematics-I | Engineering Mathematics-II |
Applied Physics | Fundamentals of Electrical & electronics |
Applied Chemistry | Computer Center Management |
Computer Fundamentals & Applications | Programming in C |
Communication Skills-I | Communication skills-II |
Value and Ethics in Technical Education | Engineering Drawing |
Diploma in Computer Science Semester 3 Syllabus | Diploma in Computer Science Semester 4 Syllabus |
Data Structure | Computer Architecture |
Operating system | Database Management System |
Networking | Linux O.S |
Object-oriented programming in C++ | Multimedia technology & application |
Economics | Programming in Visual basic |
Workshop | Marketing management |
Diploma in Computer Science Semester 5 Syllabus | Diploma in Computer Science Semester 6 Syllabus |
Software Engineering | Computer Networks |
Client-Server Applications | Networking Technology |
System Software | Network Installation & management |
Web designing | Wireless and Mobile Communication |
Entrepreneurship Development | Industrial Training |
Project | - |
BSc Computer Science is a two-year undergraduate computer science course that includes classroom lectures, industrial visits, guest lectures, internship training, and project work. The BSc Computer Science syllabus covers all of the necessary aspects to prepare students for a career in the computer science and software industries. This Computer Science course's syllabus is divided into six semesters. Operating Systems concepts, Introduction to Computer Networks, Introduction to Data Structures, Numerical Analysis, System Software, System Programming, Python programming, Introduction to Web Technology, and other subjects are covered in the BSc Computer Science syllabus.
The Semester-wise Computer Science syllabus for BSc is given below:
BSc Computer Science Semester I Syllabus | BSc Computer Science Semester II Syllabus |
---|---|
Introduction to Digital Electronics | Front Office Management |
Basics of Computer Science | Discrete Mathematics |
Environmental Sciences | Computer Organization |
Foundation course in Mathematics | Fundamental of Open-Source Software-LINUX |
BSc Computer Science Semester III Syllabus | BSc Computer Science Semester IV Syllabus |
Object-Oriented Programming using C++ | Database Management Systems |
Functional English-I | Value and Ethics |
Technical Writing | System Analysis and design |
Analytical Skill Development-I | Analytical Skill Development-II |
BSc Computer Science Semester V Syllabus | BSc Computer Science Semester VI Syllabus |
Operating Systems concepts | Introduction to Computer Network |
Introduction to Data Structures | Numerical Analysis |
System Software | System Programming |
Python programming | Introduction to Web Technology |
Introduction to Software Engineering | Project Work |
The Master of Science in Computer Science is a two-year postgraduate degree that focuses on system development, natural computation, mathematical foundations, software engineering, and artificial intelligence. The MSc Computer Science syllabus covers topics such as discrete structures, computer arithmetic, programming, relational databases, computer networks, system software, operating systems, software engineering, parallel computing, mobile computing, and so on.
The Semester-wise Computer Science syllabus for MSc is given below:
MSc Computer Science Semester I Syllabus | MSc Computer Science Semester II Syllabus |
---|---|
System Software | Data Structures using C |
Language Structure | Advanced Programming Language |
File Organisation and DBMS | Microprocessor and Applications |
Design and Analysis of Algorithms | Computer Organization and Architecture |
MSc Computer Science Semester III Syllabus | MSc Computer Science Semester IV Syllabus |
Computer Graphics | Operating System |
Data Networking | Introduction to Artificial Intelligence |
System Analysis and Design | - |
Advanced Computer Applications | - |
BTech Computer Science is a four-year full-time bachelor's degree in engineering. Candidates for this course must complete 8 semesters, two of which must be completed in a single year. Candidates in this course will investigate programming and learn computer-related language skills. Operating System, Design and Analysis of Algorithms, Programming Languages, Microprocessors, Cryptography, and Network Security are the core subjects in BTech Computer Science.
The Semester-wise Computer Science syllabus for BTech is given below:
BTech Computer Science Semester I Syllabus | BTech Computer Science Semester II Syllabus |
---|---|
English | Mathematics II |
Applied Physics | Data Processing |
Mathematics I | Discrete Structures |
Computers and Information Technology | Linear and Digital ICs Applications |
Engineering Drawing Practice | Logic Theory |
Semiconductor Devices and Circuits | Managerial Economics and Accountancy |
C & Data Structures | IC Application |
BTech Computer Science Semester III Syllabus | BTech Computer Science Semester IV Syllabus |
Computer Organization | Interfacing Through Microprocessors |
Electrical Technology | Data Communications |
Probability and Statistics | Operations Research |
Operating Systems | Theory of Computation |
Object-Oriented Programming | System Programming |
Design and Analysis of Algorithms | Principles of Programming Languages |
BTech Computer Science Semester V Syllabus | BTech Computer Science Semester VI Syllabus |
Computer Architecture | Artificial Intelligence |
Neuro-Fuzzy | Wireless Network |
Data structures and Algorithms | Implementation of Programming Languages |
Database Information System | Compiler Design |
Data Mining | Computer Graphics |
Computer Network | Information Storage Management |
BTech Computer Science Semester VII Syllabus | BTech Computer Science Semester VIII Syllabus |
Software Engineering | Simulation and Modeling |
Java Programming | Mobile Computing |
Distributed Systems | Pattern Recognition |
Image Processing | Formal Languages and Automata Theory |
Neural Networks | Project Management |
Visual Programming | Computer Communication |
M Tech Computer Science is a two-year master's degree in engineering that teaches students how to understand fundamental scientific and technological principles, solve problems, and continuously learn multidisciplinary concepts through MTech CSE Syllabus.
The Semester-wise Computer Science syllabus for MTech is given below:
MTech Computer Science Semester I Syllabus | MTech Computer Science Semester II Syllabus |
---|---|
Design and Analysis of Algorithms | Computer Networks |
Advanced Computer Architecture | Operating Systems and System Programming |
Object-Oriented Data Structures | Advanced Database Systems |
Discrete Mathematical Structures | Elective 2 |
Elective 1 | Elective 3 |
Lab 1 (Object Oriented Systems Lab) | Lab 2 (Network/Database Lab) |
VLSI Design | Computational Number Theory |
Object Oriented Systems | Theoretical Computer Science and Automation |
Principles of Programming Languages | Data Warehousing and Data Mining |
Embedded Systems | Advanced Software Engineering |
Computer Graphics | Pattern Recognition |
- | Compiler Design |
- | Optimization Technique |
- | Distributed Database Systems |
- | Financial Information Systems |
- | Formal Methods |
MTech Computer Science Semester III Syllabus | MTech Computer Science Semester IV Syllabus |
Electives 4,5,6,7 | Specialization Subjects |
Lab 3 (Open Source Software Lab) | Project Work |
Project Synopsis and Comprehensive Viva Voce | Dissertation and Viva Voce |
Mobile Computing | - |
Intelligent Systems | - |
Service Oriented Computing Web Technology | - |
Soft Computing | - |
Digital Image Processing | - |
Agent Based Computing | - |
Electronic Commerce | - |
Internet Technology | - |
Bioinformatics | - |
Parallel Computing | - |
Social Network | - |
Cryptography and Network Security | - |
Software Project Management | - |
Computer Simulation and Modelling | - |
Software Testing | - |
Almost the same Computer Science subjects are covered in most institutes' syllabuses. Therefore, let's look at a thorough explanation of the same:
Semester | Core/Elective | Subject Title | Subject Details |
---|---|---|---|
1 | Programming and Data Structures Lab | Programming and Data Structures | The primary objective of this subject is to provide students with a thorough understanding of digital computers, programming, and data structures, among other topics. |
2 | Programming in C++ | Object-Oriented Programming in C++ | This course focuses on improving the candidate's programming skills in C++. It introduces students to the skills required to create efficient software by covering concepts such as inheritance, class declaration, and function overloading. |
3 | Algorithms -I | Algorithms -I | The topic is about algorithms and the various aspects that go with them. It teaches you best practises for designing algorithms and testing them on various use cases. Testing, Algorithm Types, Algorithm Implementation, and Different Algorithmic Paradigms are some of the topics covered here. |
4 | Software Engineering | Software Engineering | A hands-on course for those interested in entering the field of software engineering. The course will teach you everything you need to know to start developing your application. |
5 | Artificial Intelligence | Artificial Intelligence | The student will be able to learn the fundamental ideas and techniques underlying the design of intelligent computer systems in this subject. Among them are:
|
6 | VLSI System Design | VLSI System Design | This topic is about creating an Integrated Circuit by combining several transistors into a single chip, which helps reduce space while storing massive amounts of data. |
7 | Blockchain Applications | Blockchain Architecture | This is a beneficial course for anyone interested in learning about the latest Blockchain technology. The Hyperledger fabric, basic crypto primitives, permissioned blockchains, and several basic consensus mechanisms will be covered in the course. It employs a case study-based approach to aid comprehension. |
8 | Machine Learning | Machine Learning | This course will teach you everything there is to know about Machine Learning. Students will learn about linear and logistic regression, supervised learning, decision trees, and random forests, among other topics. It is especially beneficial for those interested in a career in Machine Learning. |
The computer science syllabus at IITs provides a comprehensive concept of the courses. The Computer Science subjects have been listed below.
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The computer syllabus and subjects of NITs have been listed below.
Each institute has a different list of subjects that are taught in Computer Science. The majority of institutes' common Computer Science subjects are:
The following are the Computer Science Core Subjects:
Subject Title | Subject Details |
---|---|
Algorithms | The foundation of any software programme is its algorithm. It is a set of guidelines for resolving a clearly stated problem. You'll gain a comprehensive understanding of how to create and evaluate various algorithm types in a range of scenarios. The process of analysing an algorithm's complexity is also covered. Among the subjects discussed here are: · Classifying · Looking through graph algorithms · Asymptotic notations: An explanation of their meaning · The worst and typical case situations |
Software Engineering | Those who wish to work in software engineering will find this course useful. Unit testing, object-oriented design, and software life cycle models are all parts of a comprehensive, realistic strategy. Other subjects discussed include: · Specifications in algebraic and axiomatic terms · Style guides · Interface design for users · Specifications for software requirements for systems testing |
Compilers Laboratory | An application with many features that is ready for production is created through the translation of codes from the source language to the target language. It covers the following topics: · Semantic Analysis · Code optimization · Lexical Analysis · Code Generation |
Theory of Computation | In this area, data is processed using a computation model to effectively solve problems. It assists learners in comprehending how to apply computer programmes and code fragments to address particular issues. |
Computer Networks Laboratory | You will gain a comprehensive understanding of computer networking from this subject. The following components are included in the syllabus: · Configuring, Evaluating, And Quantifying Network Hardware, Parameters, And Policies · Experiments In Simulation for Protocol Performance · Experiments With Network Management |
The following are the Computer Science Elective Subjects:
Subject Title | Subject Details |
---|---|
VLSI System Design | The course covers the process of assembling numerous transistors onto a single chip to create an integrated circuit. CMOS VLSI Design, NMOS and CMOS transistor structures, and process technologies are among the subjects addressed. Design and analysis of standard gates, latches, flip-flops and nMOS and CMOS inverters Producing MOS transistors |
Artificial Intelligence | For students who want to delve deeply into AI, the course is perfect. It goes over some fundamental concepts and methods that underpin the creation of AI technology and intelligent computer systems. Introduction to Natural Language Processing, Heuristic Search Techniques, Stochastic Search Methods, and Constraint Satisfaction Problems are some of the topics covered. |
Database Management Systems | You will learn how to effectively manage multiple data sources that have been combined into one database throughout the course. The following subjects will be covered: · Database architecture: Data Independence, Abstraction, and Definition · Data models include relational, network, entity-relationship, and object-oriented models. · Relational database architecture: Armstrong's axioms: domain and data dependency |
Parallel Algorithms | Students learn how to perform multiple tasks at once in this subject. The syllabus covers the following topics: Techniques for Interconnection Architectures, Parallel Models of Performance Measures |
Computational Geometry | This course teaches students how to understand algorithms in terms of geometry. Typically, it includes the following: Line Arrangements; Geometric Search; Delaunay Triangulations |
Candidates pursuing computer science courses should attempt the lab subjects included in the course syllabus. For the candidates to be clear about the lab subjects, a table has been constructed for them, so that they understand and no confusion is left.
The table below highlights the same as suggested.
Lab subjects of Computer science | |
---|---|
Database Management Systems Lab | Operating System Lab |
Computer Organisation Lab | Microprocessor and Microcontroller Lab |
System Software Lab | Software Engineering Lab |
Data Mining Lab | Networking Lab |
Digital Electronics & Logic Design Lab | Web Technology Lab |
Java Programming Lab | Algorithms Lab |
Data Structures & Algorithms Lab | Object-Oriented Programming Lab |
Compiler Design Lab | NA |
Computer Science distance learning syllabus looks similar to the on-campus CS syllabus. Algorithms, Python and C++ programming languages, and the parts of computer hardware and software will all be covered.
Distance learning programmes help the offering of high-quality education to students residing in remote and distant locations. By enrolling in these courses, individuals who are employed can also advance in their specialised fields. Several well-known universities with online computer science degree programmes are:
The Computer Science entrance exam syllabus can be obtained from the table below by clicking the subsequent links.
Exam name | Computer Science Entrance Exam Syllabus Links |
---|---|
JEE Main | Computer Science JEE Main Syllabus |
JEE Advanced | Computer Science JEE Advanced Syllabus |
SRMJEEE | Computer Science SRMJEEE Syllabus |
GATE | Computer Science GATE Syllabus |
IPU CET | Computer Science IPU CET Syllabus |
BITSAT | Computer Science BITSAT Syllabus |
Several Indian colleges offer undergraduate, postgraduate, and diploma courses in Computer Science. They focus on imparting theoretical and practical knowledge. Below is a list of the top Computer Science colleges.
Indian Institute of Technology, Delhi | Indian Institute of Technology, Guwahati |
---|---|
Indian Institute of Technology, Bombay | Birla Institute of Technology and Science, Pilani |
Indian Institute of Technology, Kharagpur | National Institute of Technology, Tiruchirappalli |
Indian Institute of Technology, Kanpur | Delhi Technological University |
Indian Institute of Technology, Roorkee | Indian Institute of Information Technology |
There are some important books other than the basics that have to be studied for preparing computer science courses properly. The same has been highlighted in the table below along with the name of the author.
Name of the Books | Author |
---|---|
Analog Electronics | L.K. Maheshwari |
Fundamentals of Signals and Systems | M.J. Robert |
Operating System Concepts | Ekta Walia |
Database Management Systems | R.P. Mahapatra |
ANSI C | E Balagurusamy |
JAVA: The Complete Reference | Herbert Schildt |
Cloud Computing: A Practical Approach | Anthony T. Velte |
Information Security and Cyber Laws | Mr. Gupta and Ms. Gupta |
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Computer Science course is conscientiously steered into all the degrees of courses. These degrees can be highlighted as Diploma in Computer Science, B.Sc/BTech/B.E in Computer Science, MTech/ MSc/ ME in Computer Science, and Ph.D. courses. The duration of the course can range from 3 years to 4 years depending on the degree candidates are willing to pursue. Candidates are able to learn all the concepts of Computer Science at the basic level.
The Computer Science examinations are conducted in the form of semesters for diploma, undergraduate as well as postgraduate degrees. The minimum qualification required to pursue a Computer Science course is that the candidates should have completed their class 10 from a recognized institute with an aggregate of 50% marks. Candidates should study Physics, Chemistry, and Mathematics at the last qualifying exam where it is compulsory to have English as a compulsory subject.
The first year Computer Science syllabus focuses on subjects that include Computers and Information Technology, Mathematics, drawing practice, Discrete Structures, Linear and Digital ICs Applications, and Logic theories. The second year Computer Science syllabus includes Electrical Technology, Probability, and Statistics, Operating Systems, Data Communications, Operations Research, and Theory of Computation. The third year Computer Science syllabus includes Data structures and Algorithms, Database Information Systems, Data Mining, Implementation of Programming Languages, Compiler Design, and Computer Graphics. The Fourth year Computer Science syllabus includes Java Programming, Distributed Systems, Image Processing, Mobile Computing, Formal Languages, and Automata Theory, and Pattern Recognition.
Therefore the highlight of Computer Science Courses has been highlighted in the pointers below.
The IITs are among the best universities in India that offer technical and engineering education. They are highly sought after by students who work hard to secure admission. The BTech (Computer Science) program at IITs covers a range of subjects like Digital Systems and Microcontrollers, Computer Programming, Data Structures and Algorithms, Probability and Random Processing, and Linear Algebra. These courses are designed to equip students with the knowledge and skills needed to excel in the field of computer science.
Introduction to Computer Science and Programming by (Coursera + University of London), Deep Learning Specialization by Coursera, and Understanding Computer Systems by FutureLearn are some of the top free computer science online courses.
Below are some of the computer-related topics that are covered in the syllabus of NITs:
Computer Science syllabus covers many important topics, such as managing large amounts of information, connecting devices, creating programs that control computers, and designing the physical parts that make up computers. Out of all these topics, two are particularly significant: Software Engineering, which is all about building high-quality software that meets people's needs, and Computer Architecture, which is about designing the structures and components that make computers work. These two subjects are especially important because they lay the foundation for everything else in Computer Science.
Yes, NIT Warangal is a famous college offering Computer Science courses to candidates.
No, you cannot pursue a computer science course without maths.
Every computer programmer must have adequate knowledge of mathematics.
Some of the 1st year computer science subjects include Engineering Drawing Practice, Mathematics 1, Computer and Information Technology, Discrete Structures, Linear and Digital ICs Applications, Electrical Technology, Logic Theory, Probability and Statistics, and Operating Systems.
Computer Science contains subjects such as Parallel Programming, Green Programming, Collaborative Development, Hardware Architecture, Computer History, and Ethics.
Programming Fundamentals (usually with a language like Java, C, C++, Python, etc. are some of the subjects in the computer science syllabus.
Some of the key topics include:
Yes, you can pursue a BTech in Computer Science without having studied the subject in high school.
Yes, having solid foundations in mathematics, physics, and chemistry is beneficial when pursuing a Computer Science course.
Yes, you can pursue a Btech degree without taking the JEE exam, but passing the exam will provide you with more career options.
Popular computer science specialisations include the following:
By obtaining the highest possible score on the IIT-JEE entrance exam, you can gain admission to the IITs.
Indeed, NIT Warangal is a well-known university that offers students courses in computer science. After the IITs, they rank among the best universities in the nation.
Depending on the college you are attending, the average yearly fee for a BTech in computer science can range from INR 50,000 to INR 2,00,000 annually.
It is, indeed. A computer science graduate has no trouble finding lucrative employment at prestigious IT firms. Indian developers can anticipate large salaries given the country's doubling IT exports and burgeoning startup culture.
Some popular subjects in computer science include: