Computer Science & Engineering
Department Overview
The B.Tech. programs in Computer Science & Engineering (CSE), Artificial Intelligence & Machine Learning (AI & ML), and Data Science (DS) are designed to equip students with cutting-edge technical knowledge, practical skills, and industry exposure essential for solving real-world problems and driving digital innovation.
Our curriculum blends academic rigor with experiential learning, industry interaction, and interdisciplinary exposure to prepare students for future-ready careers.
Key Highlights:
1) Adequate Laboratories
Hands-on learning in specialized labs such as the AI & ML Lab, Data Science & Analytics Lab, and Design Thinking & Innovation Lab empowers students to apply theoretical knowledge to real-world projects.
2) Renowned Internships & Industrial Training
Students secure internships with leading national and global companies, gaining invaluable exposure to real-time industry environments and tools.
3) Excellent Placement Support
Dedicated training, aptitude preparation, mock interviews, and strong recruiter ties help students secure placements in top tech companies, startups, and research organizations.
4) Industry Expert Talks & Guest Lectures
Regular visits by dignitaries from academia and industry foster a deep understanding of current trends and practical applications.
5) Mentoring by Renowned Psychologists & Experts
Personal and academic mentoring is offered through expert sessions that enhance emotional intelligence, decision-making, and personal growth.
6) Professional Certifications & Online Courses
Students are encouraged to pursue NPTEL, SWAYAM, Coursera, and IBM certification programs to strengthen domain knowledge and improve employability.
7) Hackathons & Innovation Challenges
Active participation in intra- and inter-college hackathons, coding competitions, and innovation challenges builds problem-solving, teamwork, and leadership skills.
8) Structured Training & Development Programs
Pre-placement training, soft skills sessions, and technical bootcamps ensure all-round development and career readiness.
Courses Available
B. Tech in Computer Science & Engineering is a four-year degree program that provides students with the ability to design a Hardware / software program, component, or process to meet desirable requirements within real-world situations.
After successfully completing the program, the student will be able to work on multiple disciplinary teams, build and solve engineering problems and design and compare solutions, algorithms, and policies. The program focuses on Digital Transform Technologies which focuses on building mathematical and algorithmic concepts for students.
The curriculum includes operating system information, programmatic language, database, Networking, Testing Software, Software Development, Frontend, Software Development backend, Design Network, Network Management, Database Administrator, Data Analysis, Software Testing and Maintenance, and System Development System etc.
The program is designed to build strong connections in the industry to prepare students to work in the industry and to provide students with the flexibility to pursue their favourite options and projects.
The student in the career can choose after the courseLab
- 1. Applications Developer
- 2. Systems Engineer
- 3. Software Engineer
- 4. System Software Developer
- 5. Database Programmer/Designer
- 6. Computer Animation Expert
- 7. Quality Assurance Specialist
- 8. Systems Analyst
- 9. Computer Science – Lecturer
- 10. Information Security Specialist
The last decade has seen an escalation in the number of applications, solutions, platforms and tools based on Artificial Intelligence (AI). The newer technological prospects and digitalization being facilitated by AI are driving the major social and economic transformations since the industrial revolution. Systems that can learn from experiences, simulate reasoning and mimic human behavior are being developed worldwide.
Therefore, the demand of professionals with ability to research, discover and implement AI based solutions is increasing exponentially. The Bachelor of Technology (Artificial Intelligence & Machine Learning) programme is designed keeping in mind the current needs and skillset required for applying AI in diverse domains, designing and implementing AI solutions, and improvising the existing solutions into AI based solutions.
Artificial intelligence has emerged as the vital force behind several revolutionary digital innovations and technologies. It has been growing at an increased pace due to its versatility and advanced features in areas including health, transport, security and many more. With the world been quietly reshaped by machine learning, it has led to an enormous change in the course of our lives. Implementing Machine Learning(ML) in day to day lives resulted in making our jobs both easier and productive. Apart from providing advanced solution it has turned out to be an important metric for competitive edge business and innovation.
This course would be a pathway for students to focus on real time applications across all fields including information technology, media and entertainment, gaming, automative industry, and even banking and finance. Hands on training would keep students connected to advanced features of such intelligent learning systems and enhance the quality of present-day technology. The course would provide them in finding a lucrative career and a bright future both in terms of technology, research and innovation.
Career Paths
Over the past decade, an explosion of IT careers has arrived on the scene. Some of career choices for CSE(AI ML) Undergraduate includes:- Data Scientist
- Data Technology Engineer – AI
- Applied ML Engineer
- Qualitative Expert
- Analytics Manager
- Algorithm Specialist
- Computer Vision Engineer
- Deep Learning Engineer
- AI Architect
Since technology is growing and evolving at a breakneck speed, so are the jobs in Information Technology. Information Technology has become the foundation on which industries rest and the next decade will give birth to new opportunities and see the evolution of existing careers.
Infrastructure:
Artificial Intelligence being the most sought-after skill in the industry, DPGITM is in process to partnering with Nvidia, the technology leader in AI computing. As a part of this initiative, DPGITM will be procured Nvidia DGX Station, with four Nvidia Tesla V100 Tensor Core GPUs each with 32 GB memory and Intel Xeon processor with 20 cores, the workstation delivers 500 teraFLOPS of AI power. The DGX Station can accelerate machine learning training up to 215X faster and carry out deeper exploration in the fields of Data Science, Machine Learning and Deep Learning. Also the department has signed an MoU with IBM India Pvt Ltd. The IBM Big Data Software Centre of Excellence is an initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Big Data Analytics, experiential learning and to make them adept with latest Big Data technology and tools. Currently the researchers are involved in research projects on Bio-medical text mining, Analytics in surveillance videos, Data Analytics on Social Media data, Drug Analysis, Predictive Analytics for cancer, fraudulent data Analytics, and traffic data analytics.
B. Tech in Computer Science Computer Science (DS) is a new and growing field that contains a set of tools and methods used to extract useful data from data. This program incorporates Science data as a compact, problem -solving topic that learns to apply scientific techniques to practical problems
The curriculum curriculum includes the integration of data extraction, algorithm development, and technology to solve complex problems. The program focuses on skills transformation in three major areas of mathematical expertise, hacking technology skills and business and acumen strategy
At the heart of this program is the extensive use of big data by creative means of generating business value. Hidden insights are brought to the fore so that companies can make business decisions wisely. The Data Science program is directed to active and self-study classes during data processing and planning of data analysis activities.
Students looking fora job with different fields of discovery and challenging roles in the future industry. Financial security, freedom of movement, the prospect of learning all make this program an excellent career for computer science enthusiasts.
The student in the career can choose after the course- Database Administrators
- Data Architects
- Data Visualizers
- Data Engineers
- Data Ecologists
- Data Science Consultant
- Financial Modeller
- Clinical and Pharmaceutical Analyst
- Data Technologies Specialist
The department of Computer Science and Engineering is enriched with competent and dedicated faculty members to bring out the best in the students. The department is well equipped with computers, software and modern IT infrastructure, and where students are exposed to up-to-date equipment, technology and techniques. Fully equipped air-conditioned laboratories with internet, web application facilities accessible on LAN and Wi-Fi are available for students to provide them hands-on experience on latest software and technology tools used in the industries. Our students graduate with campus placement and some of them are placed with more than ac.inanization
Labs
- Object Oriented Programming Lab
- Database Management Lab
- Internet Lab
- Data Structure and Algorithm Lab
- Web Technology Lab
- Computer Network Lab
- Advance Java Lab
- Python Lab
- Operating System Lab
- Computer Graphics lab
- Design and Algorithms Lab
- Computer Hardware Lab
- Software Engineering Lab
- Neural Network Lab
- Artificial Intelligence Lab
- Mobile and wireless communication Lab
- Compiler Design Lab
- .Net Lab
- Visual Programming lab
- Digital image Processing Lab
HoD Message
Dear Students,
Welcome to the Department of Computer Science and Engineering (CSE) at DPG Institute of Technology and Management, Gurugram. Department of CSE came into existence in the year 2011 with an intake of 60 students per year.
As the Head of Department, I am honoured to lead a team of dedicated faculty members and enthusiastic students in our pursuit of academic excellence and innovation in the field of computer science. Our curriculum encompasses a wide spectrum of areas including Programming Languages, Software Engineering, Database Management Systems, Computer Networks, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Block-Chain, IoT- to name just a few. Our department is committed to provide an enriching educational experience that fosters intellectual growth, creativity, and innovation.
Beyond academics, we offer numerous opportunities for students to engage in projects, internships, and extracurricular activities that complement their learning and personal growth. The Department is proud to have a strong-alumni-network, many of whom hold influential positions in the IT industry and academia.
I encourage you to explore our website to learn more about the exciting programs, resources, and initiatives available within our department. Whether you are interested in artificial intelligence, cybersecurity, software engineering, or any other aspect of computer science, we are here to support you on your academic journey.
Once again, welcome to the Department of Computer Science and Engineering. I look forward to seeing all that you will accomplish during your time here.
Best regards,
Dr. Sarika Chaudhary
Dean Academics & HOD CSE/AIML/DS
Faculty
Prof. (Dr.) Mukesh Yadav
Deputy Director
Department of Computer Science & Engineering
Prof. (Dr.) Mukesh Yadav
Deputy Director
Department of Computer Science & Engineering
- SCI Indexed: 03
- Conferences: 07
- Patents: 02
Supervision
- Ph.D. Theses Supervised: 04
- M.Phil. Dissertations Supervised: 01
- M.Tech. Dissertations Supervised: 16
- MS (Research) Supervised: 01
Memberships
ACM, IEEE, CSTA, Computer Society of India
Dr. Sarika Chaudhary
Dean Academics & HOD CSE/AIML/DS
Department of Computer Science & Engineering
Dr. Sarika Chaudhary
Dean Academics & HOD
Department of CSE/AIML/DS
- Teaching: 17 Years
- Industry/Research: 01 Year, I.I.T. Delhi
- SCI / Scopus Indexed: 12
- Conferences: 22
- Patents: 03
Qualifications
- Ph.D. Computer Science, C.P.U Kota (2021)
- M.Tech. Computer Science, Banasthali Vidyapith, Banasthali (2007)
- B.Tech. Computer Science & Engineering, K.U. (2004)
- UGC-NET — Computer Science & Applications (2013)
Research Profiles
Achievements & Awards
• Recipient of the Women Researcher Award (2021)
• Reviewer and Organizer at IEEE, Springer, and other international conferences.
• Served as Jury Expert for MANTHAN 2021.
Contact
Prof. (Dr.) Aman Jatain
Associate Dean & Professor
Department of Computer Science & Engineering
Prof. (Dr.) Aman Jatain
Associate Dean & Professor
Department of Computer Science & Engineering
- Teaching: 15.5 Years
- Industry: 01 Year
- SCI / Scopus Indexed: 44
- Conferences: 40
- Patents: 07
Qualifications
- Ph.D. Computer Science, NCU (Formerly ITM University), Gurgaon (2017)
- M.Tech. Software Engineering, Thapar University, Patiala (2009)
- B.Tech. Computer Science, ITM College, Gurgaon (M.D.U Rohtak) (2006)
- GATE Qualified (2007)
Research Profiles
Achievements
Secured position in top ten with 98% across various institutes at National level in Wiley Learn and Win Contest; awarded by Wiley Researcher Academy with a Trophy and Amazon Kindle Paperwhite.
Contact
Ms. Renu Vadhera
Assistant Professor
Department of Computer Science & Engineering
Ms. Renu Vadhera
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 14 Years
- SCI / Scopus Indexed: 06
- Conferences: 06
Qualifications
- Ph.D. Pursuing — Artificial Intelligence, The NorthCap University, Gurugram
- M.Tech. Computer Science & Engineering, RIMT College, Mandi Gobindgarh (2015)
- B.Tech. Computer Science & Engineering, RBIEBT, Mohali (2009)
Research Profiles
Achievements
Recognized for contributions as a reviewer for reputed IEEE conferences and journals, and for serving as a resource person for LaTeX and Python workshops, promoting academic excellence and skill development.
Contact
Ms. Archana Rohilla
Assistant Professor
Department of Computer Science & Engineering
Ms. Archana Rohilla
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 16 Years
- Conferences: 03
- Patents: 03
Qualifications
- M.E. CSE, Vaish College of Engineering, Rohtak (MDU) (2008)
- B.E. CSE, Baba Mast Nath College of Engineering, Rohtak (MDU) (2006)
Contact
Ms. Smriti Dwivedi
Assistant Professor
Department of Computer Science & Engineering
Ms. Smriti Dwivedi
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 06 Years
- Conferences: 02
Qualifications
- M.Tech., B.Tech.
Area of Research
Cyber Security
Contact
Ms. Meenakshi Gupta
Assistant Professor
Department of Computer Science & Engineering
Ms. Meenakshi Gupta
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 4.5 Years
- Industry: 04 Years, Airtel
- Conferences: 02
Qualifications
- M.Tech. Computer Science, MDU (2016)
- MCA, MDU (2006)
- BCA, MDU (2004)
Area of Interest
Big Data and Deep Learning
Contact
Ms. Bhawna Kumari
Assistant Professor
Department of Computer Science & Engineering
Ms. Bhawna Kumari
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 4.5 Years
- Conferences: 04
Qualifications
- M.Tech. CSE, J.C. Bose University of Science & Technology, YMCA (2019)
- B.Tech. CSE, Guru Jambheshwar University of Science & Technology, Hisar (2016)
Contact
Dr. Poonam Sharma
Associate Professor
Department of Computer Science & Engineering
Dr. Poonam Sharma
Associate Professor
Department of CSE
- Teaching: 13 Years
- SCI / Scopus Indexed: 08
- Conferences: 10
- Patents: 02
Qualifications
- Ph.D. Computer Science, The NorthCap University, Gurugram (2023)
- M.Tech. CSE, Thapar University (2012)
- B.Tech. CSE, Kurukshetra University (2010)
- UGC-NET Qualified; GATE Qualified (4 times)
Research Profiles
Achievements
Award of Excellence in Teaching from Sharda University, Greater Noida.
Contact
Ms. Arpita Mendiratta
Assistant Professor
Department of Computer Science & Engineering
Ms. Arpita Mendiratta
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 08 Years
- Industry: 05 Years
- Conferences: 03
Qualifications
- M.Tech. CSE, IFTM University (2019)
- MBA (IT), MDU Rohtak (2013)
- B.Tech. CSE, College of Engineering and Technology (2006)
Achievements
Delivered expert lectures for IIT Patna and D.Y. Patil University in collaboration with TeamLease EdTech, Mumbai.
Contact
Ms. Neelam Dahiya
Assistant Professor
Department of Computer Science & Engineering
Ms. Neelam Dahiya
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 13 Years
- SCI / Scopus Indexed: 02
- Conferences: 03
Qualifications
- M.Tech. CSE, PDM College of Engineering, Bahadurgarh (MDU) (2009)
- B.Tech. CSE, Vaish College of Engineering, Rohtak (MDU) (2006)
Contact
Ms. Richa Nehra
Assistant Professor
Department of Computer Science & Engineering
Ms. Richa Nehra
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 10 Years
- SCI / Scopus Indexed: 01
- Patents: 01
Qualifications
- M.Tech. Software Engineering, MDU (2010)
- B.Tech. Information Technology, Kurukshetra University (2005)
Contact
Mr. Deepak Kumar
Assistant Professor
Department of Computer Science & Engineering
Mr. Deepak Kumar
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 12 Years
- Industry: 02 Years
- Total: 01
Qualifications
- M.Tech. Computer Science, J.C. Bose University (YMCA) (2019)
- B.Tech. Information Technology, Dronacharya College of Engineering, MDU (2008)
Contact
Ms. Jyoti Yadav
Assistant Professor
Department of Computer Science & Engineering
Ms. Jyoti Yadav
Assistant Professor
Department of CSE/AIML/DS
- Teaching: 2.5 Years
- Conferences: 01
Qualifications
- Ph.D. Pursuing — CSE, BML Munjal University, Gurugram
- M.Tech. CSE, G.D. Goenka University, Gurugram (2019)
- B.Tech. CSE, MDU Rohtak (2017)
Achievements
UGC-NET Qualified
Contact
Vision & Mission
Vision
To become leaders in providing academic excellence with career development skills and nurturing the students to compete globally with the curriculum that imparts theoretical foundations and hands on experience of Computer Science and Engineering and also build social and ethical values needed to make significant contributions to the society.
Mission
- To achieve Academic excellence through innovative learning practices.
- To collaborate with industries for giving opportunities to students to develop their employability and entrepreneurial skills
- To prepare students to adapt to the challenges of an ever-changing market needs.
- To enrich students with professional ethical values and high integrity to serve the society.
Program Educational Objectives (PEO)
- To excel in their professional career with expertise in providing solutions to Computer Science and Technology problems.
- To exhibit adaptive and agile skills in the core area of Computer Science & Engineering to meet the technical and managerial challenges.
- To demonstrate interpersonal skills, professional ethics to work in a team to make a positive impact on society.
Program Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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 an understanding of the limitations.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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
PSOs
- Upgrade and maintain legacy software systems through the application of latest techniques, programming skills, and tools.
- Develop, validate and maintain software systems for diverse applications, addressing the automation requirements of both society and industry.
- Acquaint with evolving landscape of computing and its latest trends, to engage in teaching, research & development activities and to work effectively in a team.
Experimental Learning Hub
General Computer Science Labs
- Computing Foundations Lab
- Programming Paradigms Lab
- Data Structures & Algorithms Lab
- Operating System Lab
- Computer Network Lab
- Database Management System Lab
AI & Machine Learning Labs
- AI & Intelligent Systems Lab
- Machine Learning and Deep Learning Lab
- Neural Networks Lab
- Natural Language Processing Lab
Data Science & Analytics Labs
- Data Science & Predictive Analytics Lab
- Big Data and Cloud Computing Lab
- Data Mining and Visualization Lab
- Applied Statistics & Data Engineering Lab
- Real-Time Data Processing Lab
Emerging Tech & Interdisciplinary Labs
- IoT & Embedded Systems Lab
- Design Thinking and Idea lab
Design Thinking Lab
Labs. & Infrastructure
General Computer Science Labs
- Computing Foundations Lab
- Programming Paradigms Lab
- Data Structures & Algorithms Lab
- Operating System Lab
- Computer Network Lab
- Database Management System Lab
Artificial Intelligence & Machine Learning Labs
- AI & Intelligent Systems Lab
- Machine Learning and Deep Learning Lab
- Neural Networks Lab
- Natural Language Processing Lab
Data Science & Analytics Labs
- Data Science & Predictive Analytics Lab
- Big Data and Cloud Computing Lab
- Data Mining and Visualization Lab
- Applied Statistics & Data Engineering Lab
- Real-Time Data Processing Lab
Employment Opportunities
Empower Future with a Diverse Range of Career Opportunities
Graduates from the CSE, AIML, and Data Science departments are equipped with cutting-edge technical skills, problem-solving abilities, and domain knowledge that open doors to a wide range of career paths in industry, academia, and research.
Computer Science and Engineering (CSE)
Potential Career Roles:
- Software Developer / Engineer
- Systems Architect
- DevOps Engineer
- Cloud Engineer
- Full Stack Developer
- Cybersecurity Analyst
- Network Engineer
- IT Consultant
Industries:
- Information Technology
- Banking & Finance
- Telecom
- Government & Defence
- E-commerce and Startups
Artificial Intelligence and Machine Learning (AIML)
Potential Career Roles:
- Machine Learning Engineer
- AI Research Scientist
- Data Analyst
- Computer Vision Engineer
- Natural Language Processing Engineer
- Robotics Engineer
Industries:
- Healthcare (AI diagnostics, robotics)
- Automotive (self-driving cars)
- FinTech (fraud detection, risk analysis)
- E-commerce (recommendation systems)
- Research and Development
Data Science (DS)
Potential Career Roles:
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Big Data Engineer
- Data Engineer
- Statistician
- Predictive Modeler
Industries:
- Healthcare and Pharma
- Retail and Supply Chain
- Marketing and Advertising
- Sports Analytics
- Government and Public Policy
Student Projects & Guidelines
Real-Time Hand Sign Language Recognition Project
Minimal Chat App Project
Enhanced AI Text-to-Image Generator
Deva — AI Voice Assistant Project
Deepfake Detection Project
Credit Risk Analysis Project
Churnly Project
E-Commerce Product Analysis Project
Aushadhi 360 — Medical Store Management System
Aushadhi 360, a Nexyug Tech initiative, features Symptom-to-Medicine assistance, enabling pharmacists to suggest appropriate OTC medicines based on symptoms while retaining full professional control. It also includes AI-powered bill import and data enrichment, converting basic bill data into detailed medicine profiles such as categories, diseases covered, usage instructions, and Hinglish descriptions—supporting smarter inventory management and analytics.
With a strong focus on responsible AI usage, Aushadhi 360 by Nexyug Tech demonstrates how artificial intelligence can effectively support healthcare workflows without compromising trust, ethics, or professional authority.
- Company Website: https://nexyugtech.com
- Portfolio: https://mokshbhardwaj.netlify.app
- Live Project: https://aushadhi-360.vercel.app
Hall of Achievements
NPTEL Stars of the Department
Shaping Careers through Top Tier Internships
Mr. Raman
Ms. Soniya
Ms. Shreya Rai
Ms. Shreya
Ms. Shreya Rai
Mr. Raman
Ms. Shreya Rai
Ms. Garima
Ms. Garima
Ms. Harsha Yadav
Mr. Aaryan Bhardwaj
Ms. Samiksha Jain
Student-Led Startups and Innovations
Mr. Ishansh Bhardwaj
B.Tech. CSE- AI&ML (2022-26)
Developed Smart Crop Monitoring System & Won 3rd Prize in National Hackathon 2024
Mr. Akshat Rai
B.Tech. CSE- AI&ML (2023-27)
Team Quantum Dev
Mr. Moksh Bhardwaj
B.Tech. CSE- AI&ML (2023-27)
Team Quantum Dev
Mr. Maneev Arora
B.Tech. CSE- AI&ML (2023-27)
Team Quantum Dev
MoU — Cybersecurity Centre of Excellence
MoU Signed for Establishment of Cybersecurity Centre of Excellence
We are pleased to announce that a Memorandum of Understanding (MoU) has been successfully signed between DPG Institute of Technology & Management (DPGITM) and CRAC (Cybersecurity Research and Awareness Community). This strategic collaboration aims to establish a Cybersecurity Centre of Excellence (CoE) at the institute.
The Centre of Excellence will focus on promoting cybersecurity awareness, skill development, hands-on training, expert sessions, workshops, and career-oriented opportunities for both students and faculty members. This initiative is designed to strengthen practical knowledge, encourage research, and enhance employability in the rapidly growing field of cybersecurity.
We look forward to the support and active participation of students and faculty in making this initiative impactful and beneficial for the entire academic community.
Excellence in University Examinations
Distinguished Visitors and Experts Engagements
Syllabus and Scheme of Study
| B.Tech AIML 2nd year | Download |
| B.Tech AIML 3rd year | Download |
| B.Tech AIML 4th year | Download |
| B.Tech CSE- 2nd year | Download |
| B.Tech CSE- 3rd year | Download |
| B.Tech CSE- 4th year | Download |
| B.Tech DS- 2nd year | Download |
| B.Tech DS- 3rd year | Download |
| B.Tech DS- 4th year | Download |
| M.Tech CSE – 1st Year | Download |
| M.Tech CSE – 2nd Year | Download |
Lecture Plan
CSE 1
| File Name | Download |
|---|---|
| BEEE Subject_Lesson Plan | Download |
| CHEMISTRY LESSON PLAN NEW 2025 for website | Download |
| CHEMISTRY LESSON PLAN NEW 2025 for website | Download |
| Lesson Plan CSE UHV 2025 | Download |
| Mathematics Lesson Plan (CSE-1)(2025) | Download |
| WT .Lesson_Plan | Download |
CSE-3
| File Name | Download |
|---|---|
| DBMS LESSON PLAN | Download |
| Lesson Plan_CSE_III_Maths | Download |
| Lesson Plan_Dsa | Download |
| Lesson plan btech eco | Download |
| Lesson plan_dE | Download |
CSE-5
| File Name | Download |
|---|---|
| FLA lesson plan | Download |
| Lesson Plan_CN | Download |
| Lesson Plan_JAVA | Download |
| Lesson plan DAA 5TH | Download |
| Microprocessor | Download |
| SE.Lesson Plan(CSE) | Download |
CSE-7
Previous Year’s Question Papers
Artificial Intelligence
| Title | Download |
|---|---|
| B.Tech 6th Sem July 2021 | Download |
| B.Tech 6th Sem July 2022 | Download |
| B.Tech 6th Sem May 2023 | Download |
Analysis and Design of Algorithm
| Title | Download |
|---|---|
| B.Tech 6th Sem May 2012 | Download |
| B.Tech 5th Sem Mar 2021 | Download |
| B.Tech 6th Sem May 2019 | Download |
| B.Tech 5th Sem Dec 2022 | Download |
| B.Tech 5th Sem Dec 2022 | Download |
Digital Logic and Computer Architecture
Advanced Computer Architecture
Python Programming
| Title | Download |
|---|---|
| B.Tech 3rd Sem Mar 2021 | Download |
| B.Tech 3rd Sem Mar 2021 | Download |
| B.Tech 3rd Sem Mar 2021 | Download |
| B.Tech 3rd Sem Mar 2021 | Download |
Software Engineering
| Title | Download |
|---|---|
| B.Tech 5th Sem Mar 2021 | Download |
Software Testing
| Title | Download |
|---|---|
| B.Tech 7th Sem Mar 2023 | Download |
Data Structure and Algorithm
| Title | Download |
|---|---|
| B.E 3rd Sem Dec 2012 | Download |
| B.Tech 3rd Sem Mar 2021 | Download |
| B.Tech 3rd Sem Mar 2021 | Download |
| B.Tech 3rd Sem Dec 2019 | Download |
| B.Tech 3rd Sem Dec 2022 | Download |
Theory of Automata Computation
| Title | Download |
|---|---|
| B.Tech 5th Sem Dec 2012 | Download |
| B.E. 4th Sem May 2012 | Download |
| B.Tech 5th Sem Mar 2021 | Download |
| B.Tech 5th Sem Mar 2021 | Download |
| B.Tech 5th Sem Dec 2022 | Download |
| B.Tech 7th Sem 2012 – 2017 | Download |
| B.Tech 7th Sem May 2019 | Download |
Computer Networks
| Title | Download |
|---|---|
| B.Tech 5th Sem Mar 2021 | Download |
| B.Tech 6th Sem May 2017 | Download |
| B.Tech 6th Sem Oct 2020 | Download |
| B.Tech 6th Sem May 2019 | Download |
| B.Tech 6th Sem May 2019 | Download |
| B.Tech 6th Sem Jul 2022 | Download |
| B.Tech 6th Sem Jul 2021 | Download |
Programming in Java
| Title | Download |
|---|---|
| B.Tech 5th Sem Mar 2021 | Download |
Object Oriented Programming
| Title | Download |
|---|---|
| B.Tech 4th Sem May 2017 | Download |
| B.Tech 4th Sem Oct 2020 | Download |
| B.Tech 4th Sem Dec 2022 | Download |
Computer Architecture and Organization
| Title | Download |
|---|---|
| B.Tech 4th Sem May 2018 | Download |
| B.Tech 4th Sem Mar 2021 | Download |
| B.Tech 4th Sem May 2019 | Download |
| B.Tech 4th Sem May 2018 | Download |
| B.Tech 4th Sem July 2022 | Download |
| B.Tech 4th Sem May 2023 | Download |
Database Management Systems
| Title | Download |
|---|---|
| B.Tech 4th Sem Oct 2020 | Download |
| B.Tech 4th Sem May 2018 | Download |
| B.Tech 4th Sem May 2019 | Download |
| B.Tech 3rd Sem Feb 2022 | Download |
| B.Tech 4th Sem July 2021 | Download |
| B.Tech 4th Sem July 2022 | Download |
| B.Tech 4th Sem May 2023 | Download |
Programming for Problem Solving
| Title | Download |
|---|---|
| B.Tech 1st Sem Mar 2021 | Download |
| B.Tech 1st Sem Mar 2021 | Download |
| B.Tech 2nd Sem May 2019 | Download |
| B.Tech 2nd Sem May 2019 | Download |
Artificial Engineering And Machine Learning
| Title | Download |
|---|---|
| Big Data & Analytics 5th Sem Nov 2023 | Download |
| Computer Networks 5th Sem Mar 2021 | Download |
| Computer Networks 6th Sem Jul 2021 | Download |
| Computer Networks 6th Sem Oct 2020 | Download |
| Computer Networks 5th Sem Dec 2022 | Download |
| Computer Networks 6th Sem May 2015 | Download |
| Computer Networks 6th Sem May 2016 | Download |
| Computer Networks 6th Sem May 2017 | Download |
| Programming For Data Science And AIML 4th Sem Jul 2022 | Download |
| Programming For Data Science And AIML 4th Sem Jul 2022 – Part 2 | Download |
| Statistical Machine Learning 6th Sem May 2023 | Download |
B. Tech 4th Sem
| Title | Download |
|---|---|
| Object Oriented Programming Using C++ Oct 2020 | Download |
| Object Oriented Programming Jul 2021 | Download |
| Object Oriented Programming Using C++ Jul 2021 | Download |
| Object Oriented Programming Using C++ May 2019 | Download |
| Object Oriented Programming May 2023 | Download |
| Object Oriented Programming Using C++ May 2018 | Download |
| Operating System Jul 2021 | Download |
| Operating System Jul 2022 | Download |
| Operating System May 2023 | Download |
| Operating System Dec 2017 (5th Sem) | Download |
| Web Technologies May 2023 | Download |
| Web Technologies Jul 2022 | Download |
| Web Technologies Dec 2017 (5th Sem) | Download |
| Web Technologies Dec 2018 (5th Sem) | Download |
B. Tech 6th Sem
| Title | Download |
|---|---|
| Advanced Java Mar 2021 (7th Sem) | Download |
| Advanced Java May 2023 | Download |
| Advanced Java Jul 2021 | Download |
| Advanced Java Oct 2020 (7th Sem) | Download |
| Artificial Intelligence Dec 2023 | Download |
| Compiler Design May 2023 | Download |
| Compiler Design Apr 2021 | Download |
| Compiler Design May 2019 | Download |
| Compiler Design May 2018 | Download |
| Compiler Design Oct 2020 | Download |
| Computer Graphics May 2023 | Download |
| Computer Graphics Dec 2018 | Download |
| Computer Graphics Dec 2016 | Download |
| Data Science May 2023 | Download |
B. Tech 8th Sem
Departmental Magazine
Department Results and Toppers
BTech CSE Department Toppers for 2025-2026
| Sr. No. | Semester | Rank | Name | Branch |
|---|---|---|---|---|
| 1 | 7 | 1 | Akanchha | CSE |
| 2 | 7 | 2 | Nishu Sharma | CSE |
| 3 | 7 | 3 | Ankith Mohan | CSE |
| 4 | 5 | 1 | Rajat Sharma | CSE |
| 5 | 5 | 2 | Rishant Bhardwaj | CSE |
| 6 | 5 | 3 | Sneha Mishra | CSE |
| 7 | 3 | 1 | Ashutosh Jha | CSE |
| 8 | 3 | 2 | Sourav | CSE |
| 9 | 3 | 3 | Kirti | CSE |
| 10 | 3 | 4 | Aman Kumar | CSE |