About Us
Shaping future innovators at SHEAT
The Department of Computer Science & Engineering at SHEAT College of Engineering was established in 2012 to address the growing global demand for skilled software engineers. Through the years, it has progressed significantly in academics, research, and innovation, reaching 100% admissions. Currently, the sanctioned intake stands at 60 for Diploma in Computer Science & Engineering.
Faculty Excellence
The department provides a conducive teaching and learning environment, supported by highly qualified and experienced faculty members. Their expertise supports a teaching methodology that effectively integrates theoretical knowledge with practical application.
- Active participation in Faculty Development Programs (FDPs), seminars, and research initiatives.
- Publications in Scopus and SCI-indexed journals.
- Authorship of book chapters and securing patents.
Faculty engaging in research and FDPs
Infrastructure & Facilities
The department is equipped with advanced laboratories and facilities that promote experiential learning.
- Smart classrooms equipped with modern teaching tools
- Advanced laboratories with the latest software and hardware tools
Modern infrastructure supporting learning
Industry Interaction & Career Building
The department bridges the gap between academia and industry through:
- Consistent workshops, guest lectures, and corporate networking sessions
- Industry-oriented summer projects and internship opportunities
- Technical contests and placement-oriented training programs
As a result of these initiatives, students have achieved remarkable placements across IT, banking, defence, PSUs, and startups. Many students have also qualified for competitive exams like GATE, CAT, and GRE.
Successful placements and industry collaborations
Our Commitment
The Computer Science and Engineering Department at SHEAT is dedicated to advancing technology’s future by equipping students with the essential skills for a thriving career. Be a part of our pursuit of excellence and innovation!
Vision & Mission
Guiding principles of the Department of CSE at SHEAT
Vision of the Department
To excel in emerging areas of Computer Science and Engineering by imparting knowledge, relevant practices, and inculcating human values to transform students into potential resources for innovative contributions through advanced computing in real-time situations.
Mission of the Department
- Quality Education: To deliver a comprehensive and rigorous curriculum that equips students with the fundamental knowledge and practical skills in computer science and engineering.
- Research and Innovation: To promote research and innovation by encouraging faculty and students to engage in cutting-edge research projects and collaborations with industry and academia.
- Professional Development: To prepare students for successful careers by providing opportunities for internships, industry projects, and professional development activities.
- Ethical and Social Responsibility: To instil ethical values and a sense of social responsibility in students, ensuring they contribute positively to society.
- Lifelong Learning: To foster a culture of lifelong learning and continuous improvement, encouraging students and faculty to stay updated with the latest advancements in the field.
PEOs, POs, and PSOs
Commitment to excellence in education and research
The Department of Diploma in Computer Science & Engineering at SHEAT Polytechnic is committed to developing technically skilled diploma engineers with strong fundamentals, practical knowledge, professional ethics, and problem-solving abilities. Program Educational Objectives (PEOs), Program Outcomes (POs), and Program Specific Outcomes (PSOs) are designed to prepare students for industry, higher education, and lifelong learning.
Program Educational Objectives (PEOs)
- PEO 1: Technical Competence
Graduates will apply fundamental knowledge of computer science and engineering to solve technical problems in industry and society. - PEO 2: Career Growth and Higher Education
Graduates will pursue successful careers, entrepreneurship, or higher education in computer science and related fields. - PEO 3: Practical Skills and Teamwork
Graduates will work effectively as individuals or team members with good practical, communication, and professional skills. - PEO 4: Ethical and Social Responsibility
Graduates will follow ethical practices and understand their responsibility towards society, environment, and sustainable development. - PEO 5: Lifelong Learning
Graduates will continuously upgrade their knowledge and skills to keep pace with emerging technologies.
Program Outcomes (POs)
- PO1: Basics and Discipline Specific Knowledge
Assimilate knowledge of basic mathematics, science, and engineering fundamentals. - PO2: Problem Analysis and Solution
Identify, analyse, and solve problems using standard methods and established techniques. - PO3: Design and Development
Design solutions for technical problems and assist in designing components, systems, or processes to meet specific requirements. - PO4: Engineering Tools, Experimentation, and Testing
Use modern engineering tools and appropriate techniques to conduct experiments as per BIS standards. - PO5: Socio-Economic and Environmental Impact Assessment
Apply relevant technologies while considering societal needs and environmental impact, keeping sustainable and ethical responsibilities in view. - PO6: Project Management and Communication
Apply engineering management principles, work effectively as an individual or in a team, and communicate clearly on activities. - PO7: Lifelong Learning
Recognize the importance of continuous learning and actively pursue self-improvement to keep pace with technological developments.
Program Specific Outcomes (PSOs)
- PSO1: Apply the fundamentals of programming, data structures, computer networks, databases, and software development to solve basic computing problems.
- PSO2: Use computer hardware, software tools, and emerging technologies to develop, maintain, and manage simple IT-based solutions for industry and society.
Course Curriculum
Comprehensive and industry-aligned curriculum at SHEAT
The Department of Computer Science & Engineering at SHEAT College of Engineering offers a comprehensive curriculum designed to equip students with cutting-edge skills in technology. Aligned with Dr. A.P.J. Abdul Kalam Technical University (AKTU), the curriculum covers foundational and advanced topics to prepare students for industry and research. Below are the course details for B.Tech Computer Science, available for download.
Curriculum Details
Our curriculum is structured to provide a balanced blend of theoretical knowledge and practical application, ensuring students are ready for careers in software development, AI, data science, and more. Download the detailed syllabus for each year below.
| S.No | Course | Branch | Year | Download |
|---|---|---|---|---|
| 1 | B.Tech | Computer Science | 2nd Year | Download |
| 2 | B.Tech | Computer Science | 3rd Year | Download |
| 3 | B.Tech | Computer Science | 4th Year | Download |
| 4 | M.Tech | Computer Science | 1st & 2nd Year | Download |
Faculty of Computer Science & Engineering
Highly qualified and experienced faculty guiding future innovators
The Faculty of Computer Science and Engineering at SHEAT College of Engineering comprises highly qualified and experienced professionals who guide students toward academic excellence and professional success. Our faculty members are committed to fostering innovation, research, and practical skills in computer science education.
Faculty Details
| S.No | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. Sandeep Kumar Singh | Head of Department | M.Tech, Ph.D (Pursuing) |
| 2 | Mr. Alok Kumar Gupta | Asst. Professor | M.Tech |
| 3 | Mrs. Reena Mishra | Asst. Professor | M.Tech |
| 4 | Mrs. Bharti Kumari | Asst. Professor | M.Tech |
| 5 | Mrs. Akanksha Singh | Asst. Professor | M.Tech |
| 6 | Mr. ShivGovind | Asst. Professor | M.Tech |
| 7 | Mr. Mukesh Yadav | Asst. Professor | M.Tech |
| 8 | Mr. Babu Udal Ji Suman | Asst. Professor | M.C.A |
| 9 | Mr. Ravindra Sharma | Asst. Professor | M.C.A |
| 10 | Mr. Praveen Kumar Singh | Asst. Professor | M.C.A |
| 11 | Mr. Ankit Srivastava | Asst. Professor | M.C.A |
Computer Science & Engineering Laboratories
State-of-the-art labs fostering innovation and research
A Computer Science and Engineering lab serves as an interactive center where students investigate, experiment, and innovate in the field of technology. Equipped with state-of-the-art computers, software applications, and hardware tools, these labs provide a dynamic space for experiential learning and the practical application of theoretical principles.
Within this environment, students actively engage in activities such as coding assignments, software development, network simulations, and hardware design and testing. The departmental laboratories also support research exploration and project-based learning, enabling students to explore emerging technologies and contribute to technological advancements. These labs foster creativity, innovation, and academic growth, preparing students for successful careers in the ever-evolving field of Computer Science and Engineering.
Advanced Training Programs
- AIML (Artificial Intelligence & Machine Learning): Build intelligent systems using AI techniques, deep learning, NLP, and more.
- AIRO (AI & Robotics): Integrate AI with robotics, automation, and embedded systems for real-world solutions.
- MERN Stack: Master full-stack web development using MongoDB, Express.js, React, and Node.js.
Computer Science & Engineering Labs
1. Curriculum-Based Labs
- Programming & OOP Labs: Support languages like C, C++, Java, Python, data structures, and object-oriented programming.
- Operating Systems & System Software Labs: Focus on OS concepts, shell programming, LEX/YACC tools, etc.
- Data Structures, Algorithms & Design Labs: Hands on algorithm design and performance analysis.
- Database / DBMS Labs: Use ORACLE, SQL, databases, normalization concepts.
- Web Technologies / Multimedia Labs: Cover web development, MVC frameworks, client-server, HTML/CSS/JavaScript, etc.
2. Advanced / Specialized Instructional Labs
- AI, Machine Learning & Data Science Labs: For explorations in ML, AI, computational genomics, data analysis, and business analytics.
- Networks, IoT & Embedded Systems Labs: Focus on routers, switches, IoT devices, sensors, Raspberry Pi, Arduino, etc.
- Project / Innovation Laboratories: Open-access spaces where students work on capstone projects, prototypes, and creative ideas.
- Hardware, Assembly & Computer Center Labs: Equip students for learning hardware assembly, microprocessors, and system integration.
3. Research-Oriented & Specialized Labs
- Research & Development (R&D) Labs: Support faculty-student collaboration on real-world/academically advanced problems.
- Altair Software Lab: Transforms an academic department into a cutting-edge innovation hub—bridging simulation, analytics, and real-world engineering workflows.
Training Modules
1. Core Programming & Software Engineering
- Languages: C, C++, Java, Python, Go
- Software Engineering Practices: Agile, DevOps, CI/CD
- Version Control: Git, GitHub, GitLab
2. AI, Machine Learning & Data Science
- Foundations: Probability, Linear Algebra, Statistics for ML
- Tools & Frameworks: TensorFlow, PyTorch, Scikit-learn, Jupyter
- Applications: NLP, Computer Vision, Deep Learning
- Projects: Real-time AI model deployment (via Flask, FastAPI)
3. Web & Mobile Application Development
- Frontend: HTML, CSS, JavaScript, React
- Backend: Node.js, Django, Flask
- Full-Stack (MERN/MEAN)
- Mobile: Flutter, Android Studio (Java/Kotlin)
4. Cloud Computing & DevOps
- Platforms: AWS, Microsoft Azure, Google Cloud Platform
- DevOps Tools: Docker, Kubernetes, Jenkins, Terraform
- Training Modules: Infrastructure-as-Code, CI/CD pipelines
5. Data Structures & Algorithms (DSA)
- Competitive Programming: Codeforces, LeetCode, HackerRank
- Industry-Prep Training: Problem solving rounds for placements
6. IoT, Robotics & Embedded Systems
- Platforms: Raspberry Pi, Arduino, ESP32
- Protocols: MQTT, Zigbee, BLE
- Integration: AI + IoT (AIoT)
Industry Linkages & Collaborations
| Industry Partner | Focus Area |
|---|---|
| ICT Academy | Certification courses on Professional Skills, Full-Stack, Data Analytics, Cloud, DevOps, Cybersecurity, IoT, Networking |
| Altair Engineering | Simulation, AI-Driven Engineering |
| IBM SkillsBuild | AI, Quantum Computing, Data Analytics |
| Amazon AWS Academy | Cloud, DevOps, Serverless |
Academic Calendar
Plan your academic year with SHEAT & AKTU calendars
Stay updated with the official academic schedules. Download the AKTU Academic Calendar 2025-26 and SHEAT Academic Calendar 2025-26 below.
Academic Calendar Downloads
| S.No | Calendar | Session | Download |
|---|---|---|---|
| 1 | AKTU Academic Calendar | 2025-26 | Download |
| 2 | SHEAT Academic Calendar | 2025-26 | Download |