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COURSE OFFERED B.Tech in COMPUTER SCIENCE and ENGINEERING
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Intake B.Tech in COMPUTER SCIENCE and ENGINEERING: 30
Live: Machine Learning: Neural Network Paradigm
COURSE OVERVIEW

The Department of Computer Science and Engineering (CSE) is one of the best Departments of this Institution. Experienced full-time Faculty members provide a comprehensive program that emphasizes algorithms and theory, advanced computer architecture and recent programming language like Python. Also provide training with the coordination of Training and placement cell on Android, Machine Learning, UNIX administration.
The CSE Department's many strengths include its high faculty-to-student ratio, state of the art facilities, strong focus on undergraduate education balanced with leading-edge job oriented course and project.
College offered 4 years B.Tech course in Computer Science and Engineering (CSE) under MAKAUT (formerly WBUT) approved by AICTE. CSE Graduates are recruited by many top companies. Graduates take up careers in the computing industry, the finance industry, traditional large Engineering companies, startup companies, Management consulting companies, medical informatics companies, and Government. Some of our top undergraduates placed in top company such as Cognizant, TCS, Tech Mahindra, IBM etc.

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Kankan Jana
Head (Department of Computer Science and Engineering)
GKCEM, JIS Group


MESSAGE OF THE HEAD OF THE DEPARTMENT

Welcome to the Department of Computer Science and Engineering at Greater Kolkata College of Engineering and Management (GKCEM), Baruipur, South 24 Parganas, West Bengal.
The Department was established in the year 2008 with the aims of developing highly qualified engineers and researchers in the field of Computer Science and Engineering with an intake of 30 undergraduate students We strive to train and empower our students who can make substantial contribution to the field of Computer Science and Engineering.
The Department has well equipped laboratories. The Department has experienced and dedicated faculties with good academic qualifications. They are committed to teach our students the fundamental concepts and the latest trends via teaching and learning process. Also different student projects are conducted in-house with the guidance of Departmental faculties.
The Department has good and consistent placement record with students placed in many core and IT companies. Students are provided internship facility in different organizations. The Department conducts various placement related training programs as per companies need.
I invite you to the Computer Science and Engineering Department whether you are looking for an undergraduate program. We are sure that your spell with GKCEM will definitely make you outshine with a successful and proficient career.

FACULTY MEMBERS

Mr. Kankan Jana , HOD & AP
Ms. Madhumita Ray, AP
Ms Saswati Naskar, AP
Mr. Niladri Sekhar Paul, AP

LABORATORY INFRASTRUCTURE

DATA STRUCTURE & ALGORITHM LAB
COMPUTER ORGANISATION LAB
NUMERICAL LAB
COMMUNICATION ENGG AND CODING THEORY LAB
SOFTWARE TOOLS LAB
COMPUTER ARCHITECTURE LAB
DESIGN & ANALYSIS OF ALGORITHM LAB
PROGRAMMING PRACTICES USING C++ LAB
OBJECT ORIENTED PROGRAMMING (IT) LAB
DATA BASE MANAGEMENT SYSTEM LAB
NETWORK LAB
OPERATING SYSTEM LAB
SOFTWARE ENGINEERING LAB
ARTIFICIAL INTELLIGENCE LAB
INTERNET TECHNOLOGY (IT) LAB
PROJECT LAB
DESIGN LAB



SYLLABUS
1st Year NEW Syllabus
CES 3rd Semester NEW Syllabus
CES 4th Semester NEW Syllabus
CES 5th Semester NEW Syllabus
CES 6th Semester NEW Syllabus
CES 7th Semester NEW Syllabus
CES 8th Semester NEW Syllabus
CES OLD Syllabus

Students, faculty and staff members including research scholar from different states, different university, different colleges attended. Webinar started at 06:00PM and continued for 2 hours more with an elegant interactive mode.
Prof. (Dr.) Amlan Chakrabarti explained each topic followed by a question answering session.
Mostly valuable technical information shared with participants by giving examples of current technology and trends. It was highlighted on:
1. Machine Learning Application- gaming, recommendation system, character recognition, drug discovery, disease diagnosis.
2. Evolving Programming (Finding the mathematical function or model)
3. Experienced Program model (Lot of data)
4. Supervised Learning
a) Regression (a hypothetical prediction)
b) Classification (uses Discrete values)
5. Unsupervised Learning
6. Reinforcement Learning
7. Semi-supervised Learning
8. Deep Learning



... MORE ...

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