4 Years
Under Graduate
Engineering
Full Time
The B.Tech in Computer Science Engineering program offers a comprehensive curriculum designed to provide students with a strong foundation in computer science principles and practical skills. In the first two semesters, students study fundamental subjects like Computational Mathematics, Digital Logic, System Programming, and Communication Skills. Subsequent semesters cover advanced topics such as Database Management Systems, Computer Networks, Software Engineering, VLSI Technology, Artificial Intelligence, and more.
| S.No | Subjects |
|---|---|
| 1 | Computational Mathematics |
| 2 | Digital Logic |
| 3 | System Programming |
| 4 | Communication Skills |
| S.No | Subjects |
|---|---|
| 1 | Microprocessor & Microcontroller |
| 2 | Computer Organization |
| 3 | Computational Mathematics-II |
| 4 | Operating Systems |
| S.No | Subjects |
|---|---|
| 1 | Computer Architecture |
| 2 | Database Management Systems |
| 3 | Compiler Design |
| 4 | Design & Analysis of Algorithms |
| S.No | Subjects |
|---|---|
| 1 | Software Engineering |
| 2 | Object-Oriented System |
| 3 | Computer Networks |
| 4 | Optimization Techniques |
| S.No | Subjects |
|---|---|
| 1 | VLSI Technology |
| 2 | Business Process Logic |
| 3 | Soft Computing |
| S.No | Subjects |
|---|---|
| 1 | Digital Signal Processing |
| 2 | Digital Signal Processing |
| S.No | Subjects |
|---|---|
| 1 | Internet Technology |
| 2 | Multimedia Technology |
| 3 | Practicals |
| S.No | Subjects |
|---|---|
| 1 | Economics |
| 2 | Artificial Intelligence |
| 3 | Practicals |
| Specialization | Topics |
|---|---|
| Artificial Intelligence | Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Expert Systems |
| Data Science | Data Structures and Algorithms, Database Management Systems, Data Mining, Big Data Analytics, Machine Learning |
| Cybersecurity | Network Security, Cryptography, Ethical Hacking, Information Security Management, Cyber Laws |
| Software Engineering | Software Development Life Cycle, Software Testing, Software Project Management, Agile Methodologies, Design Patterns |
| Cloud Computing | Cloud Architecture, Virtualization, Cloud Security, Distributed Systems, Big Data Technologies |
| Internet of Things (IoT) | Embedded Systems, Wireless Sensor Networks, IoT Protocols, IoT Platforms, IoT Security |
| Subject | Topics |
|---|---|
| Mathematics | Algebra, Trigonometry, Coordinate Geometry, Calculus, Probability, Statistics |
| Physics | Mechanics, Thermodynamics, Electrodynamics, Optics, Modern Physics |
| Chemistry | Basic Concepts, States of Matter, Atomic Structure, Chemical Bonding, Thermodynamics, Organic Chemistry, Chemical Kinetics |
| General Awareness | Current Affairs, History, Geography, Polity, Economy, Environment, Science and Technology |
| Logical Reasoning | Syllogism, Coding-Decoding, Blood Relations, Direction sense, Analogy, Data Sufficiency, Seating Arrangement, Puzzles, Logical Deduction |
| Subject | Book Title | Author(s) |
|---|---|---|
| Mathematics | Higher Engineering Mathematics | B.S. Grewal |
| Physics | Concepts of Physics (Vol. 1 & 2) | H.C. Verma |
| Chemistry | NCERT Chemistry textbooks | NCERT |
| General Awareness | General Knowledge by Manohar Pandey | Arihant Publications |
| Logical Reasoning | A Modern Approach to Verbal & Non-Verbal Reasoning | R.S. Aggarwal |
| Data Structures and Algorithms | Introduction to Algorithms | Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein |
| Database Management Systems | Database Management Systems | Raghu Ramakrishnan, Johannes Gehrke |
| Machine Learning | Pattern Recognition and Machine Learning | Christopher M. Bishop |
| Computer Networks | Computer Networking: A Top-Down Approach | James F. Kurose, Keith W. Ross |
| Operating Systems | Operating System Concepts | Abraham Silberschatz, Peter B. Galvin, Greg Gagne |
| Software Engineering | Software Engineering: A Practitioner's Approach | Roger S. Pressman |
| Cloud Computing | Cloud Computing: Concepts, Technology & Architecture | Thomas Erl |
| Cybersecurity | Cryptography and Network Security | William Stallings |
| Artificial Intelligence | Artificial Intelligence: A Modern Approach | Stuart Russell, Peter Norvig |
| Internet of Things (IoT) | Internet of Things: Principles and Paradigms | Rajkumar Buyya, Amir Vahid Dastjerdi, Sriram Illapakkam |
Q. What are the core subjects covered in the B.Tech CSE syllabus?
Ans. Core subjects typically include programming languages like C, C++, Java, and Python, data structures and algorithms, computer organization, and architecture, operating systems, database management systems, computer networks, software engineering, and theoretical computer science subjects like discrete mathematics and automata theory.
Q. Are there any elective courses available in the CSE syllabus?
Ans. Yes, most B. Tech CSE programs offer elective courses in specialized areas such as machine learning, artificial intelligence, data science, cybersecurity, cloud computing, mobile application development, and more. Students often have the flexibility to choose elective courses based on their interests and career goals.
Q. What practical components are included in the syllabus?
Ans. Practical components typically include programming labs, where students get hands-on experience with coding and implementing algorithms, as well as lab sessions for subjects like computer networks, database management systems, and software engineering where students work on projects and assignments to apply theoretical concepts to real-world problems.
Q. Is there a project component in the B.Tech CSE syllabus?
Ans. Yes, many B. Tech CSE programs include a final year project or capstone project where students work on a significant project under the guidance of a faculty mentor. The project allows students to apply the knowledge and skills gained throughout their program to solve a real-world problem or develop a software/system of their own.
Q. What are the recommended resources for studying the B.Tech CSE syllabus?
Ans. Recommended resources often include textbooks prescribed by the university or department, online courses and tutorials, programming platforms for practice, academic journals and research papers for advanced topics, and open-source projects for practical experience.
Q. How is the syllabus updated to keep pace with advancements in technology?
Ans. The syllabus is typically reviewed and updated periodically by academic boards or committees comprising faculty members and industry experts. Changes may be made to incorporate new technologies, emerging trends, and advancements in the field of computer science. Additionally, faculty members often undergo training and attend conferences to stay updated with the latest developments in the industry.
Q. Are there any prerequisites for enrolling in a B.Tech CSE program?
Ans. Prerequisites may vary depending on the institution, but students are generally expected to have a strong foundation in mathematics, particularly calculus, algebra, and probability theory. Proficiency in basic programming concepts may also be beneficial.
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