Department of Computer Science

Department of Computer Science

With Specialization in

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Artificial Intelligence
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Data Science
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Cloud Computing & Virtualization
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Mixed Reality (AR VR)
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:

1Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2Problem analysis:Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3Design/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.
4Conduct 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.
5Modern 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.
6The 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.
7Environment 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.
8Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10Communication: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.
11Project 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.
12Life-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 ProficiencyGraduates will have a strong foundation in core concepts, tools, and technologies relevant to their discipline.
Career DevelopmentGraduate 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-SolvingGraduates 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 AttitudeGraduates 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 EnvironmentTo 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

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Mr. Lalit Yagnik

Ex. Director
IBM Australia

Pankaj Porwal
Dr. Pankaj Porwal

Applied Science Manager – Amazon India
Ex. Director – Data Science (CARS24)

Our Faculty

Untitled design (1)
Dr Rimpy Bishnoi

Networks, Cyber Security

Aaditya Maheshwari
Dr Aditya Maheshwari

Cloud Computing Virtualixation & Gen AI

Dr Sunil Sharma
Dr Sunil Sharma

Biosensors and AI

Akhilesh Arya
Mr Akhilesh Deep Arya

AI & Machine Learning

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Dr Gaurav Kumwat

Android Application Developer

Kalpana Fatawat
Dr Kalpana Fatawat

Machine Learning / Computation

Naresh Mali
Dr Naresh Mali

Machine Learning

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Mrs. Kirti Dashora

Data Structures & Algorithms

Bharati Suhalka
Mrs Bharati Suvalka

Machine learning & Deep Learning

Faculties
Mr Gopal Kumar

Computer Science & Engineering

Ankur Rao (1)
Mr Ankur Rao

Computer Science & Engineering

Vijay Soni_
Mr. Vijay Soni

Computer Science & Engineering

Yogendra Singh Solanki
Mr Yogendra Singh Solanki

AI/VLSI

Sonali Raghuvanshi
Mrs Sonali Raghuvanshi

Computer Science & Engineering

Ritu Tailor_
Mrs Ritu Tailor

Computer Science & Engineering

Kriti Jain
Ms Kirti Jain

Web Development

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Mrs Drashti Dave

Computer Science & Engineering

Payal Patel
Mrs Payal Patel

Data Science

NIkita Menaria
Mrs Nikita Menaria

Information Technology

Yashika Yadav_
Ms Yashika Yadav

Computer Science & Engineering

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Mr Akshat Bordia

Digital Marketing

Faculties
Md Jahid

Network Admin