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Written by Super User

Category: Uncategorised

Published: 10 November 2021

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Artificial intelligence (AI) is impacting the future of virtually every industry and every human being. AI applications will be huge in sectors in which a large proportion of time is spent collecting and analyzing data: Applications of AI-powered computer vision will be particularly significant in the transport sector. Due to the recent advances in the field of Artificial Intelligence and machine learning, AI has been gaining much more popularity.

Department of Computer Science and Engineering has organized Research Symposium on “Emerging Trends in Artificial Intelligence” on 25 and 26th February 2022.

Original unpublished articles are invited for submission to the following tracks, but are not limited to:
•  Machine Learning
•  Deep Learning
•  Reinforcement Learning
•  Robotics
•  Computer vision
•  Natural Language Processing
•  Computer Vision
•  Recommender Systems
•  Internet of Things
•  Generative Adversarial Network (GAN)
•  AI in Healthcare

For registration: click here

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Written by Super User

Category: Uncategorised

Published: 12 October 2021

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VISION

• To be a Department of high repute focused on quality education and innovative research in Computer Science & engineering that prepares professionals and entrepreneurs to lead technical, economic and social development of the society. 

MISSION

• To provide academic environment for the development of skilled professionals empowered with knowledge ,skills, values, and confidence to take a leadership role in the field of Computer Sc. & Engineering.
• To cultivate research culture resulting in knowledge and innovative technologies that contributes to sustainable development of the society.
• To enhance academic collaborations for global exposure. 

PROGRAM EDUCATIONAL OBJECTIVES(PEO)

The graduates of Computer Science and Engineering program within 3-4 years of their graduation will:

• Be successful in professions, needing computing and Information Technology and/or become a successful entrepreneur.
• Exhibit effective personality, good communication and team building skills.
• Adapt to the latest trends in computer technology. 

PROGRAM OUTCOMES (POs)

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
• Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• Conduct investigations of complex problems: Use research- based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOMES(PSO)

• Graduates of the program will have problem solving ability using appropriate programming skills and practices.
• Graduates of the program will be able to manage data efficiently

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Written by Super User

Category: Uncategorised

Published: 09 November 2021

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DKTE has collaborated with NSDL for Vidya Lakshmi  Education Loan

Vidya Lakshmi portal for students seeking Education Loan.
This portal has been developed under the guidance of Department of
Financial Services (Ministry of Finance), Department of Higher
Education (Ministry of Education) and Indian Banks Association (IBA).

For Vidya Lakshmi Educational Loan  -  APPLY NOW

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Written by Super User

Category: Uncategorised

Published: 07 September 2021

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AICTE - Quality Improvement Programme(QIP) Centre

Admission to Ph.D programmes at DKTE QIP Centre

Our institute has started AICTE approved Quality Improvement Programme (QIP) Centrein Ph.D programmes of Textile Technology, Computer Science & Engineering, Electronics &elecommunication Engineering and Mechanical Engineering. The access to online portal for submission of application for advanced admission to Ph.D programmes for the academic year2022-23(Final admission 2023-24) for the full time /permanent faculty of degree level
engineering institutions is available from March 01, 2022 (Tuesday) atwww.cep.iitkgp.ac.in/qip . The last date for online submission of the application is March 31,2022 (Thursday). 1/03/2022.

IIT Kharagpur is the National (Organising) QIP Coordinator. The candidates may visit - http://www.cep.iitkgp.ac.in/qip/ link for admission information. Our institute’s QIP Centre coordinator, Prof.M.Y.Gudiyawar ( Mob: 9422419864) may also be contacted and our institute’scodes for QIP Ph.D admission:

FOR MORE INFORMATION PLEASE DOWNLOAD THE PDF  - LINK1

CORRIGENDUM-II - LINK2

 
 For more information, contact

Name   - Dr. M.Y. Gudiyawar

Email   -   This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile -  +91 9422419864