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Computer Science & Engineering

Computer Science & Engineering

Know Your Department

Overview
Courses
HoD Message
Faculty
Vision & Mission
PEOs, PO’s and PSOs
Experimental Learning Hub
Design Thinking & Innovation
Labs. & Infrastructure
Employment Opportunities
Clubs
Student Projects & Guidelines
Hall of Achievements
Distinguished Visitors
Training & Placement
Syllabus and Scheme of Study
Lecture Plan
Previous Year’s Question Papers
Departmental Magazine

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

M.Tech. CSE (36 Seats)

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
B.Tech. Computer Science & Engg. (60 Seats)

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 course

Lab

  • 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
B.Tech. Computer Sc. & Engg- Artificial Intelligence & Machine Learning (60 Seats)

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. Computer Sc. & Engg- Data Science (60 Seats)

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

HoD Message

Dr. Sarika Chaudhary Associate Professor, HOD CSE Department of Computer Science and Engineering

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
Head of Department, Computer Science and Engineering

Faculty

Prof.(Dr.) Mukesh Yadav

Professor (Dean)
Department of Computer Science Engineering

Dr. Sarika Chaudhary

Associate Professor, HOD CSE
Department of Computer Science Engineering

Ms. Renu Vadhera

Assistant Professor
Department of Computer Science Engineering

Ms. Archana Rohilla

Assistant Professor
Department of Computer Science Engineering

Ms. Smriti Dwivedi

Assistant Professor
Department of Computer Science Engineering

Ms. Meenakshi Gupta

Assistant Professor
Department of Computer Science Engineering

Ms. Bhawna Kumari

Assistant Professor
Department of Computer Science Engineering

Rakhi Sharma

Assistant Professor
Department of Computer Science Engineering

Dr. Bharti Bisht

Assistant Professor
Department of Computer Science Engineering

Dr. Poonam sharma

Assistant Professor
Department of Computer Science Engineering

Ms. Arpita Mendiratta

Assistant Professor
Department of Computer Science Engineering

Ms. Neelam Kumari

Assistant Professor
Department of Computer Science Engineering

Richa Nehra

Assistant Professor
Department of Computer Science Engineering

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

Virtual Labs, IIT Delhi

Access remote experimentation and labs.

Visit Website →

Design Thinking Lab

Design Thinking & Innovation

View Events

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

Clubs

RAKSHAVEDA: Cybersecurity Club

AI ENTHUSIASTS

DATA WIZARDS

TECH INNOVATORS

View Events

Student Projects & Guidelines

Title Download
Synopsis Formats Download
Major Minor Project Report Formats Download

Real-Time Hand Sign Language Recognition Project by K Nikitha, Om Shree Pal, Kajal Chaudhary

Minimal Chat App Project by Akshat Rai-compressed

Enhanced AI Text-to-Image Generator by Pallavi, Aayush & Kanak

Deva – AI Voice Assistant – Project by Moksh Bharadwaj-compressed

Deepfake Detection Project by Shreya Rai

Credit Risk Analysis Project By Aman Shah, Abhavya and Niharika Poonam Sharma-compressed

Churnly Project by Chetna, Jaya, & Abhay

E-Commerce Product Analysis Project by Shashank, Shivam and Vivek

Moksh Bhardwaj (B.Tech AI & ML, 5th Sem) introduced his project “Aushadhi 360 – A Medical Store Management System”, a pharmacist-first platform developed under Nexyug Tech, designed to modernize pharmacy operations with safety, efficiency, and reliability at its core.

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.

Hall of Achievements

NPTEL Stars of the Department
Title Download
NPTEL Data For BTech view
NPTEL COURSE DETAILS SESSION 2025-26 view
Shaping Careers through Top Tier Internships

Shaping Careers through Top Tier Internships

Mr. Raman

B.Tech CSE-DS(2021-2025)

Gurugram Police Cyber Security Summer Internship (11th Edition)

Ms. Soniya

B.Tech CSE (2021-2025)

Gurugram Police Cyber Security Summer Internship (11th Edition)

Ms. Shreya Rai

B.Tech CSE-DS(2021-2025)

IBM Skill Build

Ms. Shreya

B.Tech CSE (2021-2025)

NITI AAYOG

Ms. Shreya Rai

B.Tech CSE-DS (2021-2025)

National Institute of Electronics and Information Technology

Mr. Raman

B.Tech CSE-DS(2021-2025)

CERTIN DELHI MINISTRY of Electronics and Information Technology

Ms. Shreya Rai

B.Tech CSE-DS (2021-2025)

IBM Skill Build Internship

Ms. Garima

B.Tech CSE-DS (2021-2025)

Research Analyst at Big Bulls

Ms. Garima

B.Tech CSE-DS (2021-25)

Microsoft’s Annual Giving Campaign

Ms. Harsha Yadav

B.Tech CSE-DS (2021-25)

Microsoft’s Annual Giving Campaign

Mr. Aaryan Bhardwaj

B.Tech CSE-DS (2021-25)

Microsoft’s Annual Giving Campaign

Ms. Samiksha Jain

B.Tech CSE-AI&ML (2021-2025)

CPM India, Delhi as Tele Prospection Executive

Student-Led Startups and Innovations

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

Global and National Certifications

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
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Excellence In University Examinations BTech Dec-2022 view
Excellence In University Examinations BTech May-2023 view
Excellence In University Examinations BTech Dec-2023 view
Excellence In University Examinations BTech May-2024 view

Distinguished Visitors and Experts Engagements

Syllabus and Scheme of Study

B.Tech AIML 2nd yearDownload
B.Tech AIML 3rd yearDownload
B.Tech AIML 4th yearDownload
B.Tech CSE- 2nd yearDownload
B.Tech CSE- 3rd yearDownload
B.Tech CSE- 4th yearDownload
B.Tech DS- 2nd yearDownload
B.Tech DS- 3rd yearDownload
B.Tech DS- 4th yearDownload
M.Tech CSE – 1st YearDownload
M.Tech CSE – 2nd YearDownload

Lecture Plan

[dynamic_file_list folder_name=”cse”]

Previous Year’s Question Papers

Artificial Intelligence

TitleDownload
B.Tech 6th Sem July 2021Download
B.Tech 6th Sem July 2022Download
B.Tech 6th Sem May 2023Download

Analysis and Design of Algorithm

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B.Tech 6th Sem May 2012Download
B.Tech 5th Sem Mar 2021Download
B.Tech 6th Sem May 2019Download
B.Tech 5th Sem Dec 2022Download
B.Tech 5th Sem Dec 2022Download

Digital Logic and Computer Architecture

TitleDownload
B.Tech 3rd Sem Dec 2022Download
B.Tech 3rd Sem Feb 2022Download

Advanced Computer Architecture

TitleDownload
B.Tech 7th Sem Dec 2018Download
B.Tech 7th Sem Dec 2019Download

Python Programming

TitleDownload
B.Tech 3rd Sem Mar 2021Download
B.Tech 3rd Sem Mar 2021Download
B.Tech 3rd Sem Mar 2021Download
B.Tech 3rd Sem Mar 2021Download

Software Engineering

TitleDownload
B.Tech 5th Sem Mar 2021Download

Software Testing

TitleDownload
B.Tech 7th Sem Mar 2023Download

Data Structure and Algorithm

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B.E 3rd Sem Dec 2012Download
B.Tech 3rd Sem Mar 2021Download
B.Tech 3rd Sem Mar 2021Download
B.Tech 3rd Sem Dec 2019Download
B.Tech 3rd Sem Dec 2022Download

Theory of Automata Computation

TitleDownload
B.Tech 5th Sem Dec 2012Download
B.E. 4th Sem May 2012Download
B.Tech 5th Sem Mar 2021Download
B.Tech 5th Sem Mar 2021Download
B.Tech 5th Sem Dec 2022Download
B.Tech 7th Sem 2012 – 2017Download
B.Tech 7th Sem May 2019Download

Computer Networks

TitleDownload
B.Tech 5th Sem Mar 2021Download
B.Tech 6th Sem May 2017Download
B.Tech 6th Sem Oct 2020Download
B.Tech 6th Sem May 2019Download
B.Tech 6th Sem May 2019Download
B.Tech 6th Sem Jul 2022Download
B.Tech 6th Sem Jul 2021Download

Programming in Java

TitleDownload
B.Tech 5th Sem Mar 2021Download

Object Oriented Programming

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B.Tech 4th Sem May 2017Download
B.Tech 4th Sem Oct 2020Download
B.Tech 4th Sem Dec 2022Download

Computer Architecture and Organization

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B.Tech 4th Sem May 2018Download
B.Tech 4th Sem Mar 2021Download
B.Tech 4th Sem May 2019Download
B.Tech 4th Sem May 2018Download
B.Tech 4th Sem July 2022Download
B.Tech 4th Sem May 2023Download

Database Management Systems

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B.Tech 4th Sem Oct 2020Download
B.Tech 4th Sem May 2018Download
B.Tech 4th Sem May 2019Download
B.Tech 3rd Sem Feb 2022Download
B.Tech 4th Sem July 2021Download
B.Tech 4th Sem July 2022Download
B.Tech 4th Sem May 2023Download

Programming for Problem Solving

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B.Tech 1st Sem Mar 2021Download
B.Tech 1st Sem Mar 2021Download
B.Tech 2nd Sem May 2019Download
B.Tech 2nd Sem May 2019Download

Artificial Engineering And Machine Learning

TitleDownload
Big Data & Analytics 5th Sem Nov 2023Download
Computer Networks 5th Sem Mar 2021Download
Computer Networks 6th Sem Jul 2021Download
Computer Networks 6th Sem Oct 2020Download
Computer Networks 5th Sem Dec 2022Download
Computer Networks 6th Sem May 2015Download
Computer Networks 6th Sem May 2016Download
Computer Networks 6th Sem May 2017Download
Programming For Data Science And AIML 4th Sem Jul 2022Download
Programming For Data Science And AIML 4th Sem Jul 2022 – Part 2Download
Statistical Machine Learning 6th Sem May 2023Download

B. Tech 4th Sem

TitleDownload
Object Oriented Programming Using C++ Oct 2020Download
Object Oriented Programming Jul 2021Download
Object Oriented Programming Using C++ Jul 2021Download
Object Oriented Programming Using C++ May 2019Download
Object Oriented Programming May 2023Download
Object Oriented Programming Using C++ May 2018Download
Operating System Jul 2021Download
Operating System Jul 2022Download
Operating System May 2023Download
Operating System Dec 2017 (5th Sem)Download
Web Technologies May 2023Download
Web Technologies Jul 2022Download
Web Technologies Dec 2017 (5th Sem)Download
Web Technologies Dec 2018 (5th Sem)Download

B. Tech 6th Sem

TitleDownload
Advanced Java Mar 2021 (7th Sem)Download
Advanced Java May 2023Download
Advanced Java Jul 2021Download
Advanced Java Oct 2020 (7th Sem)Download
Artificial Intelligence Dec 2023Download
Compiler Design May 2023Download
Compiler Design Apr 2021Download
Compiler Design May 2019Download
Compiler Design May 2018Download
Compiler Design Oct 2020Download
Computer Graphics May 2023Download
Computer Graphics Dec 2018Download
Computer Graphics Dec 2016Download
Data Science May 2023Download

B. Tech 8th Sem

TitleDownload
Big Data Analysis May 2023Download
Machine Learning Dec 2022Download

Departmental Magazine

Title Download
Bit n Bytes: CSE Insights Vol. 1 Download
Bit n Bytes: CSE Insights Vol. 2 Download
Bit n Bytes: CSE Insights Vol. 3 Download

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