Computer Science and Engineering
(Artificial Intelligence and Machine Learning)
Overview
The Department of Artificial Intelligence was established in the year 2020 with an intake of 60 Students. Artificial Intelligence prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. Apart from making them good technocrats, the Department also provides individual attention to make them good citizens of our nation and to serve the industry and society constructively to make them good technocrats through futuristic plans. The Department has state-of-the-art facilities for various labs, well equipped seminar halls, classrooms to support e-learning and a department library. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, E-Commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.
Vision
To improve fundamentals and make it easier to address the ever expanding needs of society by producing the best leaders in artificial intelligence and machine learning via excellence in research and education.
Mission
DM 1 : Create centers of excellence in cutting-edge computing and artificial intelligence.
DM 2 : Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.
DM 3 : To enhance research in emerging areas by collaborating with industries and institutions at the national and international levels.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO-1 Apply fundamental concepts of Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO-2 To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
Events
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | B.Tech – Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 360 |
CO - PO / PSO Mapping and Justification of SR20
| S.No | Regulation | Mapping |
| 1 | SR20 |
Placements
| S.No | Academic Year | No. of Companies Visited | No. of Students Placed |
| 1 | 2023-24 | ||
| 2 | 2022-23 | ||
| 3 | 2021-22 |
Faculty Activities
Events
Books/Book Chapters
| S.No | Academic Year | Download |
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Patents
| S.No | Academic Year | Download |
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MOUs
| S.No | Academic Year | Number of MOUs | List |
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Consultancy
| S.No | Academic Year | Download |
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Students Activities
Patents
| S.No | Academic Year | Download |
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MOUs
| S.No | Academic Year | Number of MOUs | List |
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Consultancy
| S.No | Academic Year | Download |
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Students Achievements
Students Participation in Events within the State (Inter Institute Events)
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
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Students Participation in Events Outside the State
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
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Prizes/Award Received in Events
| S.No | Roll Number | Name of the Student | Name of the Event | Name of the Organization | Location | Date | Achievement |
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Academic Year (2024-25)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ ISSN No. | DOI |
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Academic Year (2023-24)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ISSN No. | DOI |
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Academic Year (2022-23)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol., Issue, PP | ISBN/ ISSN No. | DOI |
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Department Assessment Committee
Online Content Development
E-Resources
OBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Overview
The Department of Artificial Intelligence was established in the year 2020 with an intake of 60 Students. Artificial Intelligence prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. Apart from making them good technocrats, the Department also provides individual attention to make them good citizens of our nation and to serve the industry and society constructively to make them good technocrats through futuristic plans. The Department has state-of-the-art facilities for various labs, well equipped seminar halls, classrooms to support e-learning and a department library. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, E-Commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.
Vision
To improve fundamentals and make it easier to address the ever expanding needs of society by producing the best leaders in artificial intelligence and machine learning via excellence in research and education.
Mission
DM1: Create centers of excellence in cutting-edge computing and artificial intelligence.
DM2: Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.
DM3: To enhance research in emerging areas by collaborating with industries and institutions at the national and international levels.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO-1 Apply fundamental concepts of Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO-2 To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | B.Tech – Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 360 |
CO - PO / PSO Mapping and Justification of SR20
| S.No | Regulation | Mapping |
| 1 | SR20 |
Faculty Profiles
E-Resources
Projects
R & D Activities
Journals
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | |
| 2 | 2023-24 | |
| 3 | 2022-23 |
Patents
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | |
| 2 | 2023-24 |
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | |
| 2 | 2023-24 | |
| 3 | 2022-23 |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | ||
| 2 | 2023-24 | ||
| 3 | 2022-23 |