• About Department

    The Department of Computer Science & Engineering started in year 2007 with the intake of 60 students. As increasing demand for computer professional our management proposed an increase in it and with the approval of AICTE it increased up to 180 students. Along with UG course it also runs PG course with the intake of 24 students.

    The department offers excellent computing facility through latest computer system, advance servers, multimedia kits, leading software, 24×7 internet facility etc. the department has 9 labs (with the capacity of 30 computers) named OOPS/DSA lab, ADA, RDBMS Lab, Computer Network, Operating System, Compiler Designing, Java, Python, CGMM Lab, PG Research Lab.

    To promote the research activities among the students we have student’s chapter membership of different professional bodies like CSI (Computer society of India), CSTA and IEEE-CS etc. Our PG students working on recent research areas and published research papers in various SCOPUS indexed journals and conferences at national and international level.

    To make our students industry ready the department along with the T&P Department started training in two categories. First in general category provide training on aptitude and verbal whereas in second category provide training on programming. In programming category we provide training on C/C++, advance C++, Java, advance java, pythan, Oracle, Redhat etc. We trained our students for certification courses like OCAJP, PEGA, AWS, RHCSA etc. Many of our students certified in these courses like ORACLE Certification, Red Hat Certification, Java Certification and AWS Certification.

  • Vision of the department:

    To evolve as a centre of academic excellence, in computer science and engineering by producing technocrats possessing good domain knowledge, professional skill sets and high social values.

  • Mission of the department:

    To impart knowledge of fundamental principles, design, development, practical experiences and ethical values in Computer Science & Engineering, through quality teaching, developing professional and ethical conduct, collaborative and social activities.

  • PEO 1: Graduates shall possess required breadth and depth of Engineering knowledge to excel and sustain in chosen career path in the field of Computer science and engineering.

    PEO 2: Graduates shall possess ability to analyze problems of computing systems to design and develop its solutions.

    PEO 3: Graduates shall demonstrate professional conduct, ethical attitude, cognizance of social & Environmental issues, leadership and lifelong learning.

  • PSO 1: Graduates of the program will have problem solving ability and appropriate programming skills and practices.

    PSO 2: Graduates of the program will be able to learn and adapt the new software tools and technology.

    PSO 3: Apply standard Software Engineering practices and strategies in software project development using programming environment to deliver a quality software products.

  • MCA department emphasize on imparting quality education from the deeper sense and diligently works upon educating its students. Every effort is being made to keep pace with the latest technological advancements in IT industry. The department conducts activities which helps the students to enhance their abilities such as regular IT seminars, presentation, Inter / Intra IT Quiz & Software Projects through which students can gain live experience to solve business problems and understand the industry standards. The department takes care, transforming students to successful professionals and sensitive human beings who can contribute to the society and the nation with their skills and fulfill their as well as parents dreams which they have aspired for.

  • Video Tutorials

    “Theoretical and Practical Concepts of Genetic Algorithm”

    “The 5th Generation Mobile Technology”

    “Internet of Things”
    .

    “Biomedical Diagnosis & Imaging Techniques”

    “Wireless Sensor Network”

    NPTEL Online Lectures

    1. Artificial Intelligence, Prof. Anupam Basu, IIT Kharagpur
    2. Artificial Intelligence II, Prof. P.Dasgupta, IIT Kharagpur
    3. Artificial Intelligence III, Prof. Deepak Khemani, IIT Madras
    4. Biometrics, Prof. Phalguni Gupta, IIT Kanpur
    5. C Programming and Data Structures, Prof. P.P.Chakraborty, IIT Kharagpur
    6. Compiler Design, Prof. Y.N.Srikant, IISc Bangalore
    7. Computational Geometry, Prof. Sandeep Sen, IIT Delhi
    8. Computer Algorithms, Prof. Shashank K. Mehta, IIT Kanpur
    9. Computer Architecture, Prof. Anshul Kumar, IIT Delhi
    10. Computer Graphics, Prof. Sukhendu Das, IIT Madras
    11. Computer Organization, Prof. S. Raman, IIT Madras
    12. Cryptography and Network Security, Prof. Debdeep Mukhopadhyay, IIT Kharagpur
    13. Data Structures And Algorithms, Prof. Naveen Garg, IIT Delhi
    14. Database Design, Prof. D. Janaki Ram, IIT Madras
    15. Database Management System, Prof. D.Janakiram, IIT Madras
    16. Design and Analysis of Algorithms, Prof. Abhiram G Ranade, IIT Bombay
    17. Digital Computer Organization, Prof. P.K. Biswas, IIT Kharagpur
    18. Digital Systems Design, Prof. D. Roychoudhury, IIT Kharagpur
    19. Discrete Mathematical Structures, Prof. Kamala Krithivasan, IIT Madras
    20. Graph Theory, Prof. L. Sunil Chandran, IISc Bangalore
    21. High Performance Computer Architecture, Prof. Ajit Pal, IIT Kharagpur
    22. High Performance Computing, Prof. Matthew Jacob, IISc Bangalore
    23. Internet Technologies, Prof. I. Sengupta, IIT Kharagpur
    24. Internet Technology, Prof. Indranil Sengupta, IIT Kharagpur
    25. Introduction to Computer Graphics, Prof. Prem Kalra, IIT Delhi
    26. Introduction To Problem Solving, Programming, Prof. Deepak Gupta, IIT Kanpur
    27. Logic for Computer Science, Prof. S. Arun Kumar, IIT Delhi
    28. Logic for CS, Prof. S. Arun Kumar, IIT Delhi
    29. Natural Language Processing, Prof. Pushpak Bhattacharyya, IIT Bombay
    30. Numerical Analysis and Computer Programming, Prof. P. B. Sunil Kumar, IIT Madras
    31. Numerical Methods and Programing, Prof. P.B.Sunil Kumar, IIT Madras
    32. Numerical Optimization, Prof. Shirish K. Shevade, IISc Bangalore
    33. Parallel Algorithm, Prof. Phalguni Gupta, IIT Kanpur
    34. Parallel Computing, Prof. Subodh Kumar, IIT Delhi
    35. Performance Evaluation of Computer Systems, Prof. Krishna Moorthy Sivalingam, IIT Madras
    36. Principles of Engineering System Design, Prof. T Asokan, IIT Madras
    37. Principles of Programming Languages, Prof. S. Arun Kumar, IIT Madras
    38. Software Engineering, Prof. Rushikesh K Joshi, IIT Bombay
    39. Systems Analysis and Design, Prof. V Rajaraman, IISc Bangalore
    40. Theory of Computation I, Prof. Kamala Krithivasan, IIT Madras

  • Computer Science & Engineering

    The Department of Computer Science and Engineering is well-equipped with some of the most defined and technically modern laboratories to provide a superior level of practical education to its students. The laboratories are specifically designed with excellent facilities to meet the requirements of A.I.C.T.E. and University. Advanced equipment’s and hardware/software’s are added to the laboratories each year thus keeping them updated.

    Major Laboratories

    • • Java Technologies Lab/OOT Lab
    • Data structure Lab/Analysis & Design Of Algorithm Lab/BCE Lab
    • Operating System Lab/.Net Technologies Lab
    • Unix/Linux Lab/Minor Project Lab
    • DBMS Lab/SEPM Lab
    • CGMM Lab/CN Lab
    • Compiler Design Lab/Soft Computing/Project Lab
    • Cloud Computing Lab/Web Engineering/Major Project/Distributed System Lab
    • Computer Center/Basic Computer Engg Lab
    • Language Lab
    • PG-Research Lab
    • Additional Computer Center/Basic Computer Engg Lab

    View of few laboratories

      DBMS/SEPM Lab

     

    Students Working in the DBMS laboratory for creating database applications. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Oracle 11i and SQL Server 2005.

    CGMM/Computer Network Lab

     

    Neural Network LabStudents Working in the Neural Network laboratory for designing programs.Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Matlab 7.0 .

      2
    12 copy  

    Data Structure/ADA Lab

    Data Structure LabStudents Working in the Data Structure laboratory for implementing applications of data structures. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with C and C++ language.

    Project Lab

     

    Students Working in the open source laboratory. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Linux operating system and linux based C programming .

      lab1