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ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
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ABOUT (AIML)
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FACILITY
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Department
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STUDENT ACHIEVEMENT
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FACULTY ACHIEVEMENTS
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TRAINING
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DEPARTMENTS ACTIVITIES
About Us
Vision
To achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.
Mission
The Department of BTECH AIML mission is to produce students with a sound understanding of the fundamentals of Artificial Intelligence and Machine Learning. The mission is to meet the pressing demands of the nation, and also to enable students to become leaders in the industry and academia nationally and internationally.
Programme Educational Objectives
PEO-1
PEO-2
PEO-3
Program Specific Outcomes
PSO1
PSO2
Departmental Library
Academic Venues
Well-equipped classrooms and lecture halls with modern teaching aids such as projectors, whiteboards, and audio-visual systems.
Fully functional and well-equipped laboratories for different subjects like programming, hardware, networking, and software engineering.
CSE Lab 1 (F-12)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
2 |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - I PROJECT LAB |
3. |
Workstations/Desktops |
Language Lab Server. |
4. |
Maintenance |
Monthly record lab wise |
5. |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
6. |
Operating Systems |
WINDOWS 7 & 10 |
7. |
Peripheral Devices |
1 Projecter Acer , 1 Brother Printer & 1 Wifi Router , 1 Pair Speaker |
8. |
Security |
1 HD Camera In Class Rooms |
9. |
Software |
MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G , C++ 3.0 |
CSE Lab 2 (F- 11)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - 2 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 30 Desktop System |
4 |
Operating Systems |
WINDOWS 7 & 10 |
5 |
Software |
MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G , C/C++, MySQL , PostgreSQL , Node.j. |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
2 D-link Switch $ 1 Wifi Router |
8 |
Security |
1 HD Camera In Class Rooms |
9 |
Maintenance |
Monthly Record Lab Wise |
CSE Lab 3 (F-10 B)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - 3 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 30 Desktop System |
4 |
Operating Systems |
WINDOWS 7 & 10 |
5 |
Software |
MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
2 D-link Switch |
8 |
Security |
1 HD Camera In Class Rooms |
9 |
Maintenance |
Monthly Record Lab Wise |
CSE Lab 4 (F-10 A)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - 4 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 40 Desktop System |
4 |
Operating Systems |
WINDOWS 7 & 10 |
5 |
Software |
MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G , C/C++, MySQL , PostgreSQL , Node.js , Bootstrap , Wireshark , OpenVPN , TensorFlow , Keras , OpenCV , Apache Hadoop , Apache Spark , OpenStack. |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
1 Projecter Acer & 2 D-link Switch |
8 |
Security |
1 HD Camera In Class Rooms |
9 |
Maintenance |
Monthly Record Lab Wise |
CSE Lab 5 (F-03)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - 5 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 60 Desktop System |
4 |
Operating Systems |
WINDOWS 7 & 10 |
5 |
Software |
MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G , C/C++, MySQL , PostgreSQL , Node.js |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
1 Projecter Notevision & 4 D-link Switch |
8 |
Security |
1 HD Camera In Class Rooms . |
9 |
Maintenance |
Monthly Record Lab Wise |
CSE Lab 6 (F- 06)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE Department Lab Room no. CSE LAB - 6 Language Lab |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 60 Desktop System |
4 |
Operating Systems |
WINDOWS 7 |
5 |
Software |
MS OFFICE 2007 , ACROBAT READER 11.0 , C/C++ |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Server Facilities |
Linux ubuntu 11.0 |
8 |
Peripheral Devices |
1 Projecter Acer & 4 –D link Switch |
9 |
Security |
2 HD Camera In Class Rooms |
10 |
Maintenance |
Monthly Record Lab Wise |
CSE Lab 7 (F-08)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE AIML/DS Department Lab Room no. CSE LAB - 7 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
Language lab server. & 60 Desktop System |
4 |
Operating Systems |
WINDOWS 7 & 10 |
5 |
Software |
Programming Languages and Tools: Python, Java,C/C++,JavaScript,Git (Version Control),Integrated Development Environments (IDEs) like Visual Studio Code, Eclipse, IntelliJ IDEA, etc. ,Database Management Systems:,MySQL,PostgreSQL,SQLite,Web Development:,Apache HTTP Server, NGINX, Node.js, React.js, AngularJS, Bootstrap, Networking ,Cloud Computing: OpenStack,Kubernetes,Docker |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
1 Projecter Acer & 4 –D link Switch |
8 |
Security |
2 HD Camera In Class Rooms . |
9 |
Maintenance |
Monthly record lab wise |
CSE Lab 8 (F15)
S.No. |
Facility/Area |
Description |
---|---|---|
1. |
Location |
Main building ,1st floor -CSE AIML/DS Department Lab Room no. CSE LAB - 8 |
2. |
Infrastructure |
Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed. |
3 |
Workstations/Desktops |
|
4 |
Operating Systems |
WINDOWS 10 |
5 |
Software |
Programming Languages and Tools: Python, Java,C/C++,JavaScript,Git (Version Control),Integrated Development Environments (IDEs) like Visual Studio Code, Eclipse, IntelliJ IDEA, etc. ,Database Management Systems:,MySQL,PostgreSQL,SQLite,Web Development:,Apache HTTP Server,NGINX,Node.js,React.js,AngularJS,Bootstrap,Networking ,Cloud Computing: OpenStack,Kubernetes,Docker |
6 |
Networking |
Fiber optics cables, CAT 6 Cable all labs connecting |
7 |
Peripheral Devices |
1 Projecter Acer , 1 Wifi Router |
8 |
Security |
1 HD Camera In Class Rooms . |
9 |
Maintenance |
Monthly Record Lab Wise |
Others Facilities
- Lecture Halls, Class Rooms, Seminar Hall, and Departmental Library are key features.
- Online study materials are available on an e-learning server Course materials are available under NPTEL (National Program on Technology Enhanced Learning) by 7 IITs & IISc
- The library has many journals and books available in the department.
- All major software packages are available for study.
- LCD projectors are actively used both in the classroom and in Laboratory.
Adequate Computing facilities with the latest hardware and software required for conducting practical sessions, projects, and research work.
Facilities to support research activities including computing resources, experimental setups, and access to research journals and publications.
High-speed internet connectivity throughout the department to support academic and research activities.
Facilities for organizing workshops, training programs, and hands-on sessions on emerging technologies and tools.
Adequate safety measures including fire safety equipment, first aid facilities, and security personnel to ensure the safety of students and staff.
Mechanisms for continuous improvement such as feedback systems, quality assurance processes, and regular reviews to enhance the quality of education and research.
Laboratories Facilities
- Oracle Lab
- CISCO Lab/Networking Lab
- IBM Lab
- Research & Development Lab
- Basic Computing Lab
- Data Processing Lab
- Object-Oriented Programming Lab
- Project Lab
Software Facilities
Programming Languages and Tools:
- Python
- Java
- C/C++
- JavaScript
- Git (Version Control)
- Integrated Development Environments (IDEs) like Visual Studio Code, Eclipse, IntelliJ IDEA, etc.
Database Management Systems:
- MySQL
- PostgreSQL
- SQLite
Web Development:
- Apache HTTP Server
- NGINX
- Node.js
- React.js
- AngularJS
- Bootstrap
Networking:
- Wireshark (Network Protocol Analyzer)
- OpenVPN (Virtual Private Network)
- Nmap (Network Mapper)
Artificial Intelligence and Machine Learning:
- TensorFlow
- Keras
- PyTorch
- Scikit-learn
- OpenCV
Big Data:
- Apache Hadoop
- Apache Spark
- Apache Kafka
Cloud Computing:
- OpenStack
- Kubernetes
- Docker
Others Facilities
- Lecture Halls, Class Rooms, Seminar Hall, and Departmental Library are key features.
- Online study materials are available on an e-learning server Course materials are available under NPTEL (National Program on Technology Enhanced Learning) by 7 IITs & IISc
- The library has many journals and books available in the department.
- All major software packages are available for study.
- LCD projectors are actively used both in the classroom and in Laboratory.
Infrastructure
- Lecture Halls, Class Rooms, Seminar Hall and Departmental Library are key features.
- 11 LABS on different subjects like CP, Software Engg., DBMS, OOPS, Graphics & Multimedia and Major Project lab.Total No. of Computer Systems in the dept. are 300 approx. All laboratories are equipped with latest CORE 2 DUO Computers, scanners, printers.
- Internet Facility: Internet Access is made available in all machines in Project Lab and is well secured behind Firewall .The entire College campus is WiFi enabled. Online study materials are available on an e-learning server Course materials available under NPTEL (National Program on Technology Enhanced Learning) by 7 IIT’s & IISc.
- Department Library: The library has many journals and books available in the department. Allthe major software packages are available for study.
- Faculty & Supporting Staff Details:Faculty Student Ratio is 1: 11.5. Avg. Academic Experience of faculty is 4 Years. Faculty participates in various activities like Departmental Library, Time Table Scheduling, Project work, Planning & Development – Amenities.
- Teaching:Learning methodology -Faculty members prepare LESSON PLAN and maintain COURSE FILE for the subjects handled. LCD projectors are actively used both in the classroom and in Laboratory. Feedback from the students is obtained in very semester to make the teaching-learning process effective. Guest lectures are organized for the students by Industry Representatives, Research Scholars and Academicians on topics of current interest
- Value Added Training: Various value added training programs are organized by Web Makers Mozila Community, CMC Pvt.Ltd. to update students of the latest trends in the field of Computer Science.
- Co-Curricular Activities & Extra-curricular Activities: The students have participated in Inter College Competitions held at state level and National Level and brought laurels for the college.
Head of The Department
NAME : Dr. Ayonija Pathre
Head of Department of Artificial Intelligence
Qualifications: Ph.D(CSE), MTECH, B.E
Experience: Teaching – 14 years
Dr. Ayonja Pathre is Head of Department of Artificial Intelligence Machine Learning. She is having total experience of 14 years, she did her B.E. and MTECH in Computer science engineering from RGPV University, Bhopal. She done her PhD in Computer science engineering from RNTU, Bhopal. Her areas of research interests are, Data Science, Big Data and Information Retrieval Systems. She has published more than 21 research papers in International Journals and
Conferences with indexing in Scopus, Springer, IEEE, and ESCI. She has published two book on Deep Learning and Cyber Security and published 2 Book chapters.
Head of The Department
NAME : PROF. PANKAJ PANDEY
Head, Department of Computer Science and Engineering
*Qualifications:* PhD (Pursuing), M.Tech, BE
*Experience:* Teaching – 17 years
*Areas of Interest in Teaching:*
Artificial Intelligence, Machine Learning, Image Processing, Data Science, Cloud Computing
*Area of Expertise:*
Artificial Intelligence, Cyber Security, Machine Learning, Data Science, Network Security
*Patents:*
1. Australian Patent Granted with Patent Number: 2021105935 titled as “System for determining physiological condition of driver in autonomous driving and alarming the driver using machine learning.”
2. Australian Patent filed Granted with Application Number: 2021104849 titled as “A Computer implemented method and system for detecting human touch using body mounted camera to minimize covid spread using machine learning.”
3. Indian Patent published with Application Number: 202121034020 titled as “Autonomous Vehicle Driving and Traffic Sign Identification based on DEEP Learning Models.”
4. Indian Patent published with Application Number: 202121041195 titled as “Gesture and Posture Independent Face Recognition using Machine Learning Model.”