Top Computer Science Engineering College in Udaipur, Rajasthan | Artificial Intelligence and Data Science

Courses We Offer

B.Tech (Computer Science & Engineering) – NBA Accredited
Intake: 180 Seats

B.Tech (AI & Data Science)
Intake: 30 Seats

Bachelor of Computer Applications (B.C.A)
Intake: 30 Seats

With Specialization in

Artificial Intelligence

Data Science

Cloud Computing & Virtualization

Mixed Reality (AR VR)

State of Art Laboratories

Major Equipment

Application & System Software’s

NJR Cloud – On-premise Cloud

Augmented & Virtual Reality

State of Art Laboratories

Major Equipment

Application & System Software’s

NJR Cloud – On-premise Cloud

Augmented & Virtual Reality

VISION

To be among top five well known department of Computer Science and Engineering in the state of Rajasthan in placing the students at premier industry.

MISSION

M1:	To equip students with ability to be innovative and excellence to face the challenges in the digital world.
M2:	To prepare students with high quality employability skills catering to current trends in industries, problem solving skills, innovative pursuits and ready to face challenges in the domain and allied disciplines.
M3:	To provide ambience for entrepreneurship and start-ups through incubation center among students.
M4:	To encourage continuous faculty training on industry-based Development, and Innovation.

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

1	Engineering knowledge:	Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2	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.
3	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.
4	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.
5	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 and understanding of the limitations.
6	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.
7	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.
8	Ethics:	Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9	Individual and team work:	Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10	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.
11	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.
12	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 (PSOs)

PSO1:	Students will be able to design, develop, test, debug, deploy, analyse, troubleshoot, maintain, manage, and ensure security during the complete product lifecycle.
PSO2:	Student will be able to apply software engineering/ information system development skills to solve problems across diverse domains.
PSO3:	Students will be well-prepared to initiate and oversee innovative startups within their respective sectors.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Technical Proficiency	Graduates will have a strong foundation in core concepts, tools, and technologies relevant to their discipline.
Career Development	Graduate will be capable of pursuing diverse career paths in field of Computer Science & Engineering with proficiency in software development/ pursue higher education and or become entrepreneurs.
Problem-Solving	Graduates will have a strong math foundation so that they will be proficient problem solvers, capable of identifying, analysing, and solving complex technical problems using critical thinking and creative approaches.
Professional Attitude	Graduates will be sensitive to societal and professional environment, possess strong communication skills and will be skilled in working collaboratively within diverse teams adhering to ethical standards and professional practices.
Learning Environment	To create a learning environment that ensures graduates continue learning throughout their careers, effortlessly adopting new technologies to stay innovative in their chosen fields and remain effective contributors in their chosen field.

COURSE OUTCOMES (COs)

Industry Mentor

Mr. Lalit Yagnik

Ex. Director
IBM Australia

Mr. Sunil Nanda

Ex. Director
Intel / NVIDIA India

Dr. Pankaj Porwal

Director – Data Science (DS/ML Labs)
CARS24

Our Faculty

S. No	Name	Qualification	Area of Specialization	Designation
1	Dr Rimpy Bishnoi	ME/M. Tech and PhD	Network on Chips	Professor
2	Dr Giriraj Nyati	ME/M. Tech and PhD	VLSI	Professor
3	Dr Vivek Jain	ME/M. Tech and PhD	Image Processing	Professor
4	Lalit Yagnik	M.E/M.Tech	Software Engineering	Professor
5	Kirti Purswani	M.E/M.Tech	Computer Science & Engineering	Associate Professor
6	Akhilesh Deep Arya	M.E/M.Tech	Computer Science & Engineering	Associate Professor
7	Gaurav Kumawat	M.E/M.Tech	Computer Science & Engineering	Associate Professor
8	Naresh Mali	M.E/M.Tech	Computer Science & Engineering	Associate Professor
9	Dr Kalpana Fatawat	MCA and PhD	Machine Learning/Computation	Associate Professor
10	Nitin Kothari	M.Tech	Digital Electronics	Associate Professor
11	Sunil Nanda	MS	Industry Projects	Associate Professor
12	Drashti Dave	M.E/M.Tech	Computer Science & Engineering	Assistant Professor
13	Kriti Jain	M.E/M.Tech	Computer Science & engineering	Assistant Professor
14	Yogendra Singh Solanki	M.E/M.Tech	AI/VLSI	Assistant Professor
15	Aditya Maheshwari	M.Sc. (CA & IT)	Cloud Computing Virtualixation & Gen AI	Assistant Professor
16	Nikita Menaria	M.Sc. (IT)	Information Technology	Assistant Professor
17	Hitesh Sen	M.E/M.Tech	Microprocessor/Digital Communication	Assistant Professor
18	Pankaj Chiitora	M.E/M.Tech	Computer Science	Assistant Professor
19	Deepti Gour	M.E/M.Tech	Computer Science & Engineering	Assistant Professor
20	Bharati Suvalka	M.Tech	Computer Science & Engineering	Assistant Professor
21	Anshita Dharmawat	M Tech	Computer Science & Engineering	Assistant Professor
22	Khushboo Sharma	M Tech	Computer Science & Engineering	Assistant Professor
23	Gopal Kumar	Mtech	Computer Science & Engineering	Assistant Professor

Teaching Assistant (Lab-InCharge)
S No	Name	Qualification	Designation
1	Pushpendra Singh chundawat	B. Tech	Teaching Assistant
2	Adnan Pipawala	B. Tech	Teaching Assistant
3	Pooja Dave	B. Tech	Teaching Assistant
4	Payal Patel	B. Tech	Teaching Assistant
5	Md Jahid	M.Sc.	Teaching Assistant
6	Akshat Bordia	M B A	Teaching Assistant
7	Chandrashekhar Sharma	Diploma	Teaching Assistant
8	Lokesh Meghwal	CCNA	Teaching Assistant

Department of Computer Science