Department of Computer Science & Design

The Computer Science and Design (CSD) program at RR Institute of Modern Technology (RRIMT), Lucknow, is a four-year undergraduate (B. Tech) course that integrates computer science engineering with design principles. This interdisciplinary approach equips students with both technical computing skills and a strong foundation in design thinking, preparing them for careers in areas such as software development, user experience (UX) design, animation, virtual reality (VR), and game development.

The Computer Science and Design (CSD) program is an interdisciplinary undergraduate engineering course (typically B.Tech) that merges core computer science concepts with design thinking and creativity. The goal is to train students in both technical skills and user-centered design, making them well-suited for careers that require a mix of programming, visual thinking, and product innovation.

Graduates of the CSD program can pursue careers in various domains:​

  • Software Development: Designing and developing software applications for different industries.
  • Hardware Engineering: Researching, designing, developing, testing, and overseeing the installation of computer hardware components.
  • System Design: Involvement in logical and physical designing of systems.
  • System Analysis: Researching existing problems and planning solutions.
  • Networking Engineering: Designing, implementing, and troubleshooting computer networks.
  • Database Administration: Designing, implementing, maintaining, and repairing databases.​

Our graduates from the IT department have proven themselves in top-tier organizations, securing positions in leading companies such as TCS, Infosys, IBM, Cognizant, and many others. Their success reflects the quality of education and the practical knowledge imparted during their time at RRGI.

We take pride in the achievements of our students and faculty and continue to innovate in our approach to education. The Department of Computer Science and Design at RRGI is committed to shaping the future of technology by producing highly skilled, industry-ready skilled professionals who are capable of making a significant impact on the tech-designing world.

Vision

The department of Computer Science and Design envisions to be an efficient centre for creating technically competent and skilled intellectual professionals with the incorporation of professional, ethical and moral values.

Mission

  • Provide knowledge based on the changing needs of the stakeholders which helps them to learn the latest technologies and provide solutions to the industry and society in Computer Science and Designing related domains. 
  • Establish and maintain an effective learning environment which enable the students to perform well in a professional career, higher education, research and development in the field of Computer Science and related domains like digital design and others.
  • To inculcate professional values, ethics and morality with passion for lifelong learning.

Program Educational Objectives (PEOs)

  • The graduate of the programme will acquire a strong background in theoretical & practical knowledge of Computer Science and Design approaches to solve real world engineering problems.
  • Graduate of the programme will be equipped with competent professional and communication skills to perform in the dynamic IT and software design industry along with ethical and moral values.
  • The graduate will be technically competent to pursue a professional career in the software and design industry, higher education, research and development for the betterment of society.

Program Outcome (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 analyse 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 modelling 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 teamwork

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.

Program Specific Outcomes (PSOs)

  • Graduates should have the excellent capability to solve the problems and do innovation in the area of algorithm, data sciences, network & securities, deep learning, and web application with the help of available tools, technologies, and resources.
  • The graduates should have the ability to apply multidisciplinary approaches to formulate and develop products based on existing knowledge and research for the industry and societal real problems.

Faculty Of Computer Science And Design

Name of the faculty Designation Qualification Department
CHANDAN KUMAR Assistant Professor & HOD M. Tech, PhD (Pursuing) COMPUTER SCIENCE AND DESIGN
PRAVIN MISTRY Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN
SUJIT KUMAR Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN
SHWETA DWIVEDI Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN
SHIKHA SINGH Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN
KIRAN TIWARI Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN
SURYA KANT PRAJAPATI Assistant Professor M. Tech COMPUTER SCIENCE AND DESIGN

Magzine

Syllabus & Course Outline

The B. Tech in Computer Science and Design  is a four-year undergraduate engineering degree focusing on the application of software, Database, and computer networking. It equips students with the knowledge and skills to design, 

  Programming Foundations: C/C++, Data Structures, Object-Oriented Programming.

  Mathematics & Logic: Linear Algebra, Probability, Discrete Mathematics, Calculus.

  Core CS Subjects: Algorithms, Operating Systems, Computer Networks, DBMS.

  Design Basics: Drawing, Visualization, Design Thinking, Visual Communication.

  Multimedia & Graphics: Computer Graphics, Image Processing, Animation, VR/AR.

  Advanced Electives: Machine Learning, AI, Game Design, Data Science, Cybersecurity.

  Projects: Capstone Projects, Minor Projects blending CS and Design.

  Internships & Portfolio: Industry training and creation of a professional design/tech portfolio.

Laboratories

The department has established the following laboratories:

Core Computer Science Labs

  1. Programming Lab – For practicing C/C++, Python, Java, and Data Structures.
  2. Operating Systems & Networking Lab – Simulating OS concepts and network protocols.
  3. Database Systems Lab – SQL, NoSQL, and database application development.

Design & Multimedia Labs

  1. Graphics & Visualization Lab – 2D/3D Graphics, Animation, Game Design, OpenGL, Unity/Unreal Engine.
  2. Digital Media & Audio-Visual Lab – Video editing, sound design, motion graphics, AR/VR content creation.
  3. Design Studio – Equipped with sketching tools, digitizers, and modeling tools for creative concept development.

Specialized/Research Labs (Optional)

  1. Innovation & Capstone Project Lab – Collaborative space for final-year interdisciplinary projects.

Practices & Innovation in Teaching Learning

The Department of Computer Science and Design has adopted several innovative teaching-learning practices aimed at enhancing student engagement, creativity, and real-world readiness. These practices reflect a shift from traditional didactic methods to experiential, student-centric learning aligned with 21st-century skills.

Project-Based and Studio Learning form the cornerstone of the pedagogy, encouraging students to solve interdisciplinary problems through iterative design and technical development. 

The department integrates Blended Learning Models, combining MOOCs, Learning Management Systems (LMS), and face-to-face interaction to cater to diverse learning styles. Peer-to-peer learning and design critiques are actively encouraged to foster collaboration, critical thinking, and constructive feedback.

To bridge the gap between academia and industry, live case studies, guest lectures, and industry mentorship programs are introduced regularly. Students engage in Hackathons, Code Sprints, and Design Jams, where they learn under pressure, innovate rapidly, and pitch their ideas—closely mirroring industry practices.

Further, the curriculum supports Outcome-Based Education (OBE) with clearly defined Course Outcomes (COs) and Program Learning Outcomes (PLOs), ensuring continuous monitoring and improvement. Tools like GitHub, Figma, MATLAB, and Jupyter Notebooks are seamlessly integrated into coursework to promote skill-based learning.

Live demonstration can be an effective tool to present material in classroom and encourage student learning. Multimedia combines basic types of media into learning environment such as text, audio, video and graphics thus providing a powerful tool for teaching. This allows the students to pay more attention towards the concepts. It also helps the students to think and analyze the concepts in a better way. The teacher explains some topics in their regular teaching process using Software Tools /Animation / Videos to simplify their presentation. By using the system a tool, the Students understand the topics in a better way are due to animation as in compare to tradition teaching.

Each One, Teach One Learning:

Each One, Teach One Learning process is the collaboration between the faculty and students to learn and share knowledge about their community and culture. When someone learned how to read or write, it became their responsibility to teach someone else. The idea is to spread knowledge for the betterment of their community. This program will teach you how to give back to your community to learn and share knowledge. In this connection the Department had taken an initiative the same to improve the student skill set and this methodology helps the students to improve their presentation, communication skills, and knowledge level in the concepts by self preparation and presentation. It helps the students to enrich themselves towards self learning and employability. Students teach a topic from the subject in the presence of the teacher. The students are benefitted by Improvement in subject knowledge, self learning, & presentation skills.

Virtual Labs Learning:

The integration of Virtual Labs (VLabs) into the teaching-learning process represents a significant advancement in digital pedagogy, particularly within the Computer Science and Design (CSD) curriculum. Virtual labs are online platforms that simulate real-time laboratory experiments, enabling students to learn and practice core technical skills remotely and interactively.

These labs are especially effective for resource-intensive or high-risk experiments that may not be feasible in traditional lab settings. By offering interactive simulations, step-by-step guidance, and instant feedback, virtual labs enhance conceptual understanding and provide repeated practice without physical limitations.

In the context of Computer Science, virtual labs offer simulations for programming, data structures, networks, operating systems, and database management. In Design, they support activities like digital drawing, 3D modeling, HCI simulations, and animation workflows.

Key benefits include:
  • Accessibility: Students can perform experiments anytime, anywhere.
  • Self-Paced Learning: Learners can proceed based on their individual understanding.
  • Scalability: Useful for large student cohorts with limited physical infrastructure.
  • Integration with MOOCs and LMS: Ensures seamless adoption in blended and flipped classrooms.
  • Alignment with NEP 2020: Encourages use of technology in teaching and equitable access to learning resources.

The department utilizes platforms such as IIT Virtual Labs (vlab.co.in), MIT Scratch, Tinkercad, and Web-based IDEs (e.g., Replit, CodePen) to deliver hands-on learning experiences. These tools complement physical labs and form part of project-based and competency-based learning models.

Overall, Virtual Labs serve as an essential component in bridging theoretical learning with practical application, fostering digital fluency, and ensuring continuity of education even in remote or hybrid environments.

S. No. Name of Laboratory Webpage Link
1. Programming c,c++, java, python Lab  https://cse02-iiith.vlabs.ac.in/ 
2. Operating Systems & Networking Lab https://www.vlab.co.in/ 
3. Database Systems Lab https://dsl.cds.iisc.ac.in/ 
4. Graphics & Visualization Lab https://vgl.csa.iisc.ac.in/ 
5. Digital Media & Audio-Visual Lab https://www.ctuap.ac.in/audio-visual-production-lab/ 
6. Design Studio https://www.vlab.co.in/ 
7. Innovation & Capstone Project Lab https://capstoneproject.in/ 

The virtual lab stimulates students to conduct experiments by their curiosity. This would help them in learning basic and advanced concepts through remote experimentation. The students are benefitted by virtual learning of practical experiments, diversified learning and application oriented real time learning.

E-Learning:

Advanced Learners are encouraged to take up various certification courses, projects based on choice and present papers in conferences/ journals. Students and faculty members are encouraged to register and utilize the NPTEL/SWAYAM program/ online certification courses of their own areas of teaching and research interests, for enhancing their teaching skills, smooth conduct of the teaching process in the regular class room teaching and for understanding the potential concepts much effectively. The students who have not registered for any courses are supported by providing the NPTEL video lectures links of all these courses by the faculty. It helps to enrich the knowledge potentials of students and enhance their employability skills.

Employability Skill Learning:

In view of the employability of the students, department has been providing the technical and soft skills classes throughout the session for overall grooming of the students. These classes empower students with confidence, serenity, fluency etc. Also, the overall students’ qualities are enhanced. These classes comprise of aptitude class and personality development class for two to three lectures per weeks for second, third and final year students. These classes are conducted by eminent faculties from training and placement department. During the class, regular assessment is done to observe the potential of the students. Based on the feedback, special emphasis is made to train the students to meet the requirements of the industry. These classes are highly valuable for the students who would be taking part in group discussions and interviews and campus drives.

Project-Based Learning:

Students work on projects that engage them in solving a real-world problem or answering a complex question, over an extended time and gain knowledge & skills by working for an extended time to investigate and respond to an authentic, engaging, and complex question, problem, or challenge.

They demonstrate their knowledge and skills by developing a product or presentation. As a result, students develop deep content knowledge as well as critical thinking, creativity, and communication skills in the context of doing an authentic, meaningful project. Project Based Learning unleashes contagious, creative energy among students and teachers. Sessions are arranged for demonstration of the working model of the projects, which is of utmost necessity for the students to have knowledge in hardware aspects.

Innovation in Laboratory Experiments:

To develop experimental skills, experience phenomena directly & Connect book knowledge to real-world applications in the students, all labs are equipped with latest equipments with standard operating procedures.

Simulations are also performed with the help of MATLAB/Simulink & other software tools for the program specific experiments.

Workshop:

  • The Department organized a hands-on Workshop on Python Programming to introduce students to modern programming practices.
  • The workshop covered core Python concepts including variables, loops, functions, and data structures.
  • Students were guided through real-time coding exercises using online platforms like Replit and Jupyter Notebook.
  • Focus was placed on logical thinking, problem-solving, and writing clean, modular code.
  • Advanced topics like file handling, exception handling, and basic object-oriented programming were also introduced.
  • Participants developed mini-projects such as calculators, to-do apps, and data parsers.
  • The sessions were interactive, with live coding demonstrations and one-on-one mentoring.
  • Quizzes and coding challenges were conducted to reinforce learning outcomes.
  • The workshop aimed to build a strong foundation in Python for further applications in AI, Data Science, and Web Development.
  • All participants received certificates and access to workshop materials for continued learning.

Question Bank Management System:

The management of question banks in the field of Computer Science and Design is crucial for enhancing the efficiency of both teaching and learning processes. In the department, the management of question banks has been a manual task, with teachers responsible for typing and editing questions. Question bank structure is helpful for the various internal and external examinations as well as various competitive examinations. It includes almost all courses/ topics and difficulty level associated. A question bank for each course is prepared by concerned course instructor.

Innovative Assignment Practices:

In general practice, assignments are given to the students to improve knowledge through self-learning by referring available resources. But incorporating innovative methodology in the preparation of assignments the outcome is improved. One assignment per course outcome during the semester is assigned to improve learning ability and subject knowledge.

Mentor-Mentee Systems:

A small group of students are allocated to each faculty (mentor-mentee system). Faculty counsellor / Mentor prepare their students in individually for viva-voce & monitor their academic performance continuously.  Faculty counsellor / Mentor monitor all the activities of the students.

Power point presentation based Learning:

Using, power point presentation, an innovative tool, the faculty can create & engaging visual presentations, allowing faculty and students to communicate ideas, information, and concepts effectively through slides that can include text, images, videos, and animation, etc. 

Video Lectures based Learning:

The department extensively practice video lectures based learning in using video as the primary medium for delivering educational content, offering a multisensory learning experience that combines audio, visuals, and text. The benefits for students are that videos can capture and maintain attention better than traditional text-based materials, leading to increased engagement and better knowledge retention, improved comprehension, and accessibility and convenience.

Seminars: 

The faculty also utilizes the seminar-based teaching, a form of innovative learning, for students discussing pre-assigned questions or issues in small groups, guided by the teacher. 

It encourages active participation, collaboration, and critical thinking, moving beyond traditional lecture-based learning. 

Expert Lectures:

In order to offer our students latest insights into the emerging technologies and advancements, expert lecture series are organized to help our students gain strong foothold in the field of computer science and design and help them stand out among the rest.

Instead of solely relying on traditional lectures, instructors can utilize expert lectures to provide foundational knowledge and then engage students in activities like research, application, and problem-solving. This approach fosters deeper understanding and encourages active learning.

Guest Lectures and Industrial Visit

Guest Lectures/ Workshop /Industrial Visit Date Resource Person with designation / Organization
Guest lecture Scope of Artificial Intelligence: An Approach 16/03/2024 Dr. Upendra Kumar

Deputy Dean of Student welfare

Institute of Engineering And Technology  Lucknow, Uttar Pradesh

Workshop on Innovative Design using python and physical computing using Respberry-Pi 16/02/2024 Mr. Rohit Kumar

Senior Trainer 

Soft-Pro Training Academy  Lucknow

Workshop on Python 08/04/2024 Mr. Rohit Kumar

Senior Trainer 

Soft-Pro Training Academy  Lucknow

Academic Calendar

Project

Name of Student List of Top 5 Project Session
Anushka Gupta

Shrejal Gupta

Amit Maurya

Priyanshu Sharma

Diabetes Prediction 2024-25
Anamika Rai

Manshi Verma

Kshama Arya

Anjali Verma

FavCart Website 2024-25
Yashfa Shafiq

Anjali Yadav

Shweta Dixit

Anubhav Singh

Fitbliss Fitness Tracker 2024-25
Aditya Sharma

Abhishek Verma

Prince Jaiswal

Pravendra Pratap Arun

TripHive 2024-25
Prabhat Verma

Shivam Kumar

Vishal Singh

Aashu Pandey

Prabhavi AI 2024-25

Research & Development

Name of Faculty List of Publications with Title 
Mr.Chandan Kumar Machine learning algorithm-based intelligent health care system for fast and accurate service/Patent /filling application date29/10/2022/the patent office journal No. 44/2022 dated 4/11/2022
Phishing Email Detection Using Region Based Convolution Neural Network Model/ICTACSE-2022
Vedic maths sutras and machine operations of a computer- a relationship/International Conference on Advanced Computing and Informatics (ICACI-2022)
Phishing Email Detection Using Region-Based Convolution Neural Network Model /Research (IJARST) /02 Feb-2022
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Admissions 2026-27