Computer Science and Engineering (AIML)

Dr. Sunil

Professor and HOD

Dept. of Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

HOD’s Message – Department of CSE (AI & ML)

Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning). Our department is dedicated to preparing students for the rapidly evolving era of intelligent technologies by offering strong academic foundations combined with hands-on, industry-oriented learning.

The Department of Computer Science and Engineering (AI & ML) was established in the year 2023 with a vision to develop innovative AI technologists who create ethical solutions that uplift communities and address real societal challenges. The department is equipped with well-established laboratories, modern computing facilities, and highly qualified faculty members specialized in cutting-edge AI & ML domains. It also features digital classrooms, a department library, and dedicated project and innovation laboratories designed to support experiential and research-oriented learning.

We focus on outcome-based education, practical skill development, and continuous exposure to real-world applications. In addition to classroom learning, we emphasize bringing live industry projects and real-time problem statements into academia. This approach enables our students to gain direct experience with actual industry workflows, challenges, and expectations—providing them with a true sense of professional work culture.

Such live project engagements not only boost their technical confidence but also add significant value to their career profiles, making them highly competitive and industry-ready upon graduation.

Our faculty members are committed mentors who guide students in research, innovation, entrepreneurship, and advanced technical activities. We collaborate closely with industry partners, technology organizations, and research institutions to ensure that our students stay aligned with current trends and future demands.

At CSE (AI & ML), our mission is to nurture problem-solvers, innovators, and responsible technologists who can make meaningful contributions to society through AI-driven advancements.

Vision Of The Department

To be a pioneering hub in AI and Machine Learning that creates ethically driven innovators capable of building intelligent solutions that empower society, elevate human life, and inspire sustainable technological progress

Mission Of The Department

01.

To empower students with industry-driven AI and ML competencies through hands-on learning, live projects, and real-world problem-solving exposure.

02.

To foster a culture of innovation, ethical responsibility, and research-oriented thinking that inspires students to create meaningful, socially impactful technological solutions.

03.

To build strong collaborations with industry, research organizations, and the community, enabling students to experience professional work culture and enhance their career readiness.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Attain a career in industry and be successful via adapting to fast-changing technologies through self and incessant learning.
Evaluate optimal allocation of resources either in execution of job or as an entrepreneur.
Pursue excellence in pioneering newer technologies by being a part of the evolving challenges.

PROGRAM SPECIFIC OUTCOMES (PSOs)

Our Infrastructure & Laboratories

Combined with the systematic teaching methodology and syllabus in line with the current technology

Laboratory Details

SL.No	NAME OF THE LABORATORY	CARPET AREA(SQ.MT)	MAJOR EQUIPMENTS	SYSTEM DETAILS
1.	Computer Laboratory-2	164.47 sq.mt	Computers (48), Printers (Duplex, Wi-Fi-Enabled, Network),UPS (20KVA), LCD Projector with Screen.	HDD – 1TB RAM- 4GB DDR3 Acer Systems(48) OS: 64 Bit Windows 10 64 Bit Linux mint 19.3
2.	Computer Laboratory-1	137.02 sq.mt	Computers (62), Printers (A3,A4) with Scanner, UPS (20KVA), LCD Projector with Screen.	240 GB SSD RAM – 4GB DDR4 ECS Systems(62) OS: 64 Bit Windows 1164 Bit Linux mint 19.3
3.	Computer Laboratory-3	96.98 sq.mt	Computers(35), Analog Oscilloscope, Digital IC Trainer Kit, IC Tester, UPS (20KVA).	240 GB SSD RAM-8GB DDR4 2GB NVIDIA GT710 GRAFFIC CARDS ECS Systems(35) OS: 64 Bit Windows 11 64 Bit Linux mint 19.3

List of Software’s in Department Systems

Operating Systems
Linux Mint (version :19.3)	Windows 10 (Edition: Education) Windows 11 Latest version

Application Software’s
Adobe Reader	Firefox
Microsoft Office	Google Chrome
VS code	Oracle Virtual Box

Academic Software’s

Laboratories	Software’s Used
C Programming	Visual Studio Code, Code::Blocks
Data Structures	Visual Studio Code
Analog and Digital Electronics	PSpice , Xilinx
Design and Analysis of Algorithms	Visual Studio Code
Microcontrollers’	Keil u Vision 4.0/5.0, Flash Magic
Computer Networks	NS2, NAM, JAVA, Visual Studio Code
Database Management System	MySQL (LAMP and Xampp)
System Software and Operating Systems	Flex, Bison, gcc, Visual Studio Code
Computer Graphics	Freeglut3, Code::Blocks, Visual Studio Code
Mobile Application Development	Android Studio
Machine Learning	Anaconda Navigator, Visual Studio Code
Project	Visual Studio Code, Android Studio