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I need Bits pilani computer engineering syllabus for 2025


Priya Iyengar 30th May, 2025
Answer (1)
Sujal Singh 30th May, 2025

Year-wise Course Structure

First Year (Common Across Branches):
The initial year is uniform for all engineering disciplines, focusing on building a strong base in mathematics, sciences, and introductory programming. Key courses include:

  • Mathematics I & II (Calculus, Linear Algebra, Complex Analysis)

  • Physics and Chemistry Labs

  • Computer Programming (C Language)

  • Workshop Practice

  • Technical Report Writing

  • General Biology

Second Year:
Students begin to delve into core computer science subjects:

  • Discrete Structures

  • Data Structures & Algorithms

  • Digital Design

  • Database Systems

  • Object-Oriented Programming

  • Operating Systems

  • Computer Networks

  • Microprocessors & Interfacing

Third and Fourth Years:
The focus shifts to advanced topics and electives, allowing specialization:

  • Compiler Construction

  • Theory of Computation

  • Design & Analysis of Algorithms

  • Software Engineering

  • Artificial Intelligence

  • Machine Learning

  • Cryptography

  • Real-Time Systems

  • Data Mining

  • Parallel Computing

  • Computer Graphics

  • Network Programming

Elective courses offer deeper insights into areas such as:

  • Quantum Information and Computation

  • Fuzzy Logic and Applications

  • Human-Computer Interaction

  • Software for Embedded Systems

  • Internetworking Technologies

  • Data Storage Technologies and Networks

  • Information Security

  • Software Development for Portable Devices

Practical Exposure

BITS Pilani emphasizes hands-on learning:

  • Practice School (PS) : A mandatory two-year internship program that provides real-world industry experience.

  • Labs and Workshops : Integrated into the curriculum to enhance practical skills and problem-solving abilities.

Research and Specialization

The Computer Science and Information Systems Department at BITS Pilani is actively involved in research areas such as:

  • Artificial Intelligence and Machine Learning

  • Quantum Computing

  • Data Science

  • Cybersecurity

  • Software Development

Students are encouraged to engage in research projects and collaborate with faculty on cutting-edge technological advancements.

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