BITS Pilani

  • Page last updated on Wednesday, April 19, 2023

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  • B.E. Computer Science Engineering

    Core Courses:
     
    • CS F211 Data Structures & Algorithms 
    • CS F212 Database Systems 
    • CS F213 Object Oriented Programming 
    • CS F214 Logic in Computer Science 
    • CS F215 Digital Design 
    • CS F222 Discrete Structures for Computer Science 
    • CS F241 Microprocessors & Interfacing 
    • CS F301 Principles of Programming Languages 
    • CS F303 Computer Networks 
    • CS F342 Computer Architecture 
    • CS F351 Theory of Computation 
    • CS F363 Compiler Construction 
    • CS F364 Design & Analysis of Algorithms 
    • CS F372 Operating Systems
    Elective Courses:
     
    • BITS F311 Image Processing 
    • BITS F312 Neural Networks and Fuzzy Logic 
    • BITS F343 Fuzzy Logic and Applications 
    • BITS F364 Human – Computer Interaction 
    • BITS F386 Quantum Information and Computation 
    • BITS F452 Blockchain Technology 
    • BITS F453 Computational Learning Theory 
    • BITS F454 Bio-Inspired Intelligence: Algorithms and Applications 
    • BITS F463 Cryptography 
    • BITS F464 Machine Learning 
    • BITS F465 Enterprise Computing 
    • BITS F466 Service Oriented Computing 
    • CS F314 Software Development for Portable Devices
    • CS F315 Information and Communication Technologies and Development 
    • CS F316 Quantum Architecture and Programming 
    • CS F317 Reinforcement Learning 
    • CS F320 Foundations of Data Science 
    • CS F401 Multimedia Computing 
    • CS F402 Computational Geometry 
    • CS F407 Artificial Intelligence 
    • CS F413 Internetworking Technologies
    • CS F415 Data Mining 
    • CS F422 Parallel Computing 
    • CS F424 Software for Embedded Systems 
    • CS F425 Deep Learning 
    • CS F426 Graph Mining 
    • CS F427 Performance Analysis of Computer Networks 
    • CS F428 Special topic in Computer Science 
    • CS F429 Natural Language Processing 
    • CS F441 Selected Topics from Computer Science 
    • CS F444 Real Time Systems 
    • CS F446 Data Storage Technologies and Networks 
    • CS F468 Information Security Project 
    • CS F469 Information Retrieval 
    • CS G513 Network Security 
    • CS G519 Social Media Analytics 
    • CS G520 Advanced Data Mining 
    • CS G527 Cloud Computing 
    • IS F311 Computer Graphics 
    • IS F341 Software Engineering 
    • IS F462 Network Programming 
    • MATH F231 Number Theory 
    • MATH F421 Combinatorial Mathematics 
    • MATH F441 Discrete Mathematical Structures
    Click here for Semesterwise Course Structure

  • M.E. Software Systems

    Core Courses:
    • CS F 415 Data Mining 
    • SS G514 Object Oriented Analysis and Design 
    • SS G515 Data Ware Housing 
    • SS G562 Software Engineering and Management 
    • SS G653 Software Architecture 
    Elective Courses:
    • BITS F452 Blockchain Technology 
    • BITS F464 Machine Learning 
    • BITS G553 Real-Time Systems 
    • CS F401 Multimedia Computing 
    • CS F402 Computational Geometry 
    • CS F407 Artificial Intelligence 
    • CS F413 Internetworking Technologies 
    • CS F422 Parallel Computing 
    • CS F425 Deep Learning 
    • CS F426 Graph Mining 
    • CS F427 Performance Analysis of Computer Networks 
    • CS F428 Special Topic in Computer Science 
    • CS F441 Selected topics from Computer Science Data Storage & Networks 
    • CS F469 Information Retrieval 
    • CS G523 Software for Embedded Systems 
    • CS G524 Advanced Computer Architecture 
    • CS G525 Advanced Computer Networks 
    • CS G526 Advanced Algorithms and Complexity 
    • CS G541 Pervasive Computing 
    • CS G553 Reconfigurable Computing 
    • CS G568 Network Security Project 
    • CS G612 Fault Tolerant System Design 
    • CS G623 Advanced Operating Systems 
    • IS F462 Network Programming 
    • SS G513 Network Security 
    • SS G519 Social Media Analytics 
    • SS G520 Advanced Data Mining 
    • SS G527 Cloud Computing 
    • SS G551 Advance Compilation Techniques 
    • SS G552 Software Testing Methodologies 
    • SS G554 Distributed Data Systems
     
    Click here for Brochure

  • PhD. Computer Science Engineering

    PhD in Computer Science with various specializations such as IoT, Network Security, Machine Learning , Applied Machine Learning, Deep Learning,  Software Engineering, Software Architecture etc. 
     
    Faculties at department of computer science along with their research areas is given below and for detailed information please visit the individual profile,  

    Dr. S. Vadivel

     Cloud computing, Web services

    Dr. B. Vijayakumar

     Distributed Data Systems, Multimedia Systems

    Dr. Sujala D. Shetty

     Big Data,Artificial Intelligence

    Dr. Raja Muthalagu

     Wireless Communication, IoT, Network   Security

    Dr. Siddhaling Urolagin

     Document image analysis, Pattern recognition,   Bioinformatics

    Dr. J. Angel Arul Jothi

     Image processing, Pattern Recognition, Data   Mining

    Dr. Razia Sulthana

     Machine Learning, Ontology, Recommendation   System, Fuzzy Rules

    Dr. Rahul Chegot Sankaramenon

     Graph Theory, Algorithm Analysis,   Combinatorics

    Dr. Tamizharasan Periyasamy

     Multi-core Architectures, High-Performance   Computing, Deep Learning

    Dr. Pranav M pawar

     Wireless Communication, Machine & Deep   Learning, IoT, Network Security, Bioinformatics

    Dr. Pramod Gaur

     Bionanotechnology, Machine & Deep Learning 

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