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Department of Computer Science & Engineering

Computer Science & Engineering
General Information

The Department of Computer Science and Engineering started its journey from the very first day the college started on 29th August in the year 2000. The department envisions to continually improving its educational delivery and research with a goal to develop engineering manpower with the strong academic background, who will respond swiftly to the challenges and changes faced in the rapidly changing scenario of Computer Science and Engineering. The objective is to educate, train and develop world class research and IT professionals with a mastery of not only hardware and software skills but also soft skills for professional success. Several of our students are serving nationally and internationally in various reputed organizations and educational institutes. The department is regularly conducting workshops and seminars to groom both students and faculty to inculcate advancement of technology in Computer Science and Engineering with social and environmental awareness. With a mix of experienced and young faculty members, the department thrives in providing a disciplined as well as a well coordinated learning environment.

Well equipped Laboratories are functioning seamlessly every day to enable the use of laboratory facilities for research activities. The department specializes in various disciplines under Computer Science, including Computer Network, Operating Systems, Computer Architecture, Database Management Systems, Distributed Systems, Artificial Intelligence, Image Processing, Language Processors, Mobile Computing, Network Security, Pattern Recognition and Web Technology.

The departmental library is equipped with latest books in various fields of Computer Science which provides additional insight to both students and faculty members. The department encourages students to participate in research under the guidance of faculty members. Students are motivated and encouraged to work on state of the art research and projects. There have been a number of publications in Journals, International and National Conferences by students and faculty members over the last six years. The department aims to provide amenities for the students in every possible way and groom them for a successful life ahead.

The department maintaining its relationship with the industry, regularly organizes campus connects courses. Organizations like Cognizant Technology Solutions, Infosys conduct courses to enhance the technical skills of the students and make them industry ready. Students of the department are engaged in research oriented as well as industry oriented projects for which the department has one research/innovative lab and specialized project lab shared with Information Technology Department.

Vision & Mission

To continually improve upon the teaching-learning processes and research with a goal to develop quality technical manpower with sound academic and practical experience, who can respond to challenges and changes happening dynamically in Computer Science and Engineering.
1. To inspire the students to work with latest tools and to make them industry ready.

2. To impart research based technical knowledge.

3. To groom the department as a learning centre to inculcate advanced technologies in Computer Science and Engineering with social and environmental awareness.

UG Courses

Computer Science & Engineering

Program Educational Objectives(PEOs)
Graduates of Computer Science and Engineering program shall
PEO1: Have skills to solve the problems by analysis, design, develop and implementation of algorithms leading to optimal solutions fulfilling the dynamic requirement of industry and society.

PEO2: Have good understanding of Computer Science and Engineering concepts, making them practicing engineers with sound knowledge of logic and design, in Industries.

PEO3: Undertake research in emerging fields in computer science and engineering so as to face the challenges of global challenges in their higher studies and by lifelong learning.
Program Specific Outcomes (PSOs)
PSO1: Programming skills: Apply fundamental knowledge and programming aptitude to identify, design and solve real life problems.

PSO2: Professional skills: Students shall understand, analyze and develop software solutions to meet the requirements of industry and society.

PSO3: Competency: Students will be competent for competitive examinations for employment, higher studies and research.
Intake Capacity

Intake Capacity approved by AICTE and affiliated to MAKAUT - 120

Artificial Intelligence & Machine Learning

Program Educational Objectives(PEOs)
The graduates of Artificial Intelligence and Machine Learning will be able to

PEO1: Gain expertise in the emerging areas of Machine Learning and Artificial Intelligence.

PEO2: Groom themselves into industry ready professionals and efficient researchers with sense of social responsibilities.

PEO3: Demonstrate proficiency in soft skills, ethical approaches, team work and life-long learning.
Program Specific Outcomes (PSOs)
After completion of the program the students will be able to

PSO1: (Programming) Apply programming skills for providing efficient and cost-effective solutions to engineering problems.

PSO2: (Research) Contribute towards the knowledge base through significant research activities in recent trends.

PSO3: (Industry Readiness) Develop themselves into professionals who are ready to serve the industry and society at large.
Intake Capacity

Intake Capacity approved by AICTE and affiliated to MAKAUT - 60


All the laboratories in the department are equipped with modern facilities of hardware, software, projection systems, internet connectivity, & LAN. Three curricular laboratories are there in the department to enable the curriculum based laboratory classes. The three laboratories are the Development Laboratory, the Systems Laboratory, and the Computing Laboratory to conduct the lab classes, e.g., C Programming Language, C++, JAVA, Python, Data Structures and Algorithms, Design and Analysis of Algorithms, Computer Architecture, Operating Systems, Database Management Systems, Networking, Image Processing, Artificial Intelligence, Internet Technology, etc. All the laboratories have dual Operating Systems, namely, Windows 7 along with Linux(Fedora Core).

Every day performance of the students are evaluated in each of the three laboratories mentioned above. The department also has a specialized project lab where some more facilities are available like Android Studio, XAMPP, and many more. In each of the above mentioned laboratories a computer system is strictly allocated to a single student always. Apart from these, the students are allowed to use laboratories for self learning (MOOCS, study materials of foreign universities). One member of the faculty and a technical assistant are in charge for the overall smooth functioning/maintenance of each laboratory. All the pertinent documents are maintained by them. The department has one research and development lab shared with the Information Technology Department. Several publications in International and National Journals and Conferences by students and faculty members have taken place over the last ten years, as a result of this initiative.

Development Laboratory

The Development Laboratoryis equipped with computing facilities to cater to needs of the recent trends in the computing paradigm as per the curriculum of the university. The laboratory hosts curricular labs of prime importance like Data Structures & Algorithms using C Language, Object Oriented Programming Lab using Java, Computer Networks Lab, Operating Systems Lab, and Artificial Intelligence Lab. Of these, the Data Structures & Algorithms Lab & the Operating Systems Labs are conducted using Linux OS and the rest of the labs are run on Windows 7 platform. A high performance HP ML-30 Server which is a constituent part of the lab is utilized on a regular basis as a File Server for storage of daily lab related activities of the students. Also it is utilized for providing the students with the demonstrations of a few administrative features of network operating systems beyond curriculum. Students are encouraged all the time to work in mini projects beyond curriculum and in the development of corresponding working models.

Systems Laboratory

The Systems Laboratory deals with Database Management Systems and Computer Architecture along with a host of other subjects. For DBMS, we have ORACLE enterprise edition installed in HP Server. Each student is allotted a separate user id and the work gets saved in the server.For Computer Architecture Lab, we use Model Sim and server supports a number of clients. The other Laboratory subjects, Programming for Problem Solving, IT Workshop ( PYTHON), Design & Analysis of Algorithm etc. are done in the Linux Environment.

Computing Laboratory

The Computing Laboratory facilities are designed to supplement existing high-performance numerical computing facilities with local resources specifically tailored for use by the Institute faculty, research projects, and staff. Important curricular labs that are conducted here, are Data Structure & Algorithms Lab for the Electronics Department, Computer Networks Lab, & Image Processing Lab. Several types of services are provided by the Computer Laboratory, ranging from basic training and familiarization with computer concepts and practices to the development of working models. 1. To provide expertise and advice concerning computer technology and its application for such uses as word processing, network management, and statistical analyses. 2. To undertake the development for specific Institute projects.

Project Laboratory

This lab is fully dedicated to final year students for their project work. Only the final year students have access to this lab where each group is assigned a system. The Lab is well equipped with modern desktop environments, well ventilated, and well furnished. All the required software for the final year projects are installed as per requirements.

Research Lab

Research laboratory is used primarily for research, development, and storage. The R & D lab stresses on clearly identifying the needs for the progress of the technology so that the growth-specific efforts could be useful for the overall development of the department. It visualizes active student involvement in association with the faculty member to the emerging areas of research in computer science. This Laboratory is designed to supplement existing high-performance Natural Language Processing, Computer Vision, Machine Learning, Deep Learning, Reinforcement Learning, Internet of Things, Cyber Security and Application Development. The lab is equipped with GPU (Mac Studio), and High end workstations with i7 processor accompanied with SSD specifically tailored for use by the Institute faculty members and students under research projects.

Faculty List
Dr. Mousumi Dutt
Associate Professor, HOD
Digital Geometry & Image Analysis
Dr. Amit Paul
Associate Professor
Samrat Sarkar
Assistant Professor
Subhankar Mallick
Assistant Professor
Data Mining
Amiya Halder
Assistant Professor
Image processing
Debashis Chakraborty
Assistant Professor
Image Compression
Dr. Biswajita Datta
Assistant Professor
Steganography & Cyber Security
Sanghamitra De
Assistant Professor
Network Security
Amit Kumar Siromoni
Assistant Professor
Digital learning
Aditi Bal
Assistant Professor
VLSI Floorshop Scheduling
Ranjita Chowdhury
Assistant Professor
Medical Image Processing
Uddalak Chatterjee
Assistant Professor
Information Security
Suparna Dutta
Assistant Professor
Deep Learning and Machine Learning
Dr. Tapalina Banerjee Bhattacharjee
Assistant Professor
Algorithmic sample preparation in Microfluidic Biochips and chip design.



Jan. 21, 2021 Open
July 14, 2021 Open


Edition I
Oct. 21, 2019 Open
Edition II
Jan. 24, 2020 Open


Edition I
Oct. 26, 2018 Open
Edition II
Jan. 25, 2019 Open
Edition III
April 26, 2019 Open
Edition IV
July 25, 2019 Open


Edition I
Oct. 17, 2017 Open
Edition II
Jan. 22, 2018 Open
Edition III
April 27, 2018 Open
Edition IV
July 27, 2018 Open