About Us
Shaping future innovators at SHEAT
The Department of Computer Science & Engineering at SHEAT College of Engineering was established in 2008 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 90 for B.Tech (CSE), 60 for B.Tech (AIML), 30 for B.Tech (Data Science), and 24 for M.Tech (CSE).
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 Computer Science & Engineering at SHEAT College of Engineering is committed to producing graduates who are equipped with the knowledge, skills, and ethical values to excel in their careers and contribute to society. Program Educational Objectives (PEOs), Program Outcomes (POs), and Program Specific Outcomes (PSOs) are designed in alignment with the department’s vision and mission.
Program Educational Objectives (PEOs)
- PEO 1: Professional Competence and Career Growth
Graduates will excel in their professional careers by applying their knowledge of computer science and engineering to solve real-world problems and contribute effectively to the industry, academia, or entrepreneurial ventures. - PEO 2: Lifelong Learning and Higher Education
Graduates will engage in lifelong learning through professional development, advanced education, and research to adapt to the rapidly evolving technological landscape. - PEO 3: Leadership and Teamwork
Graduates will demonstrate effective communication, leadership, and teamwork skills, enabling them to work productively in diverse and multidisciplinary teams. - PEO 4: Ethical and Social Responsibility
Graduates will exhibit ethical and social responsibility by considering the impact of their work on society, the environment, and global issues while adhering to professional ethics. - PEO 5: Innovation and Problem-Solving
Graduates will apply innovative thinking and problem-solving skills to design and develop efficient, reliable, and scalable computing solutions to meet the needs of industry and society.
Program Outcomes (POs)
- PO1: Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO2: Problem Analysis – Identify, formulate, review research literature, and analyze complex engineering problems to reach substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO3: Design/Development of Solutions – Design solutions for complex engineering problems and develop system components or processes that meet specified needs, considering public health and safety, as well as cultural, societal, and environmental factors.
- PO4: Conduct Investigations of Complex Problems – Utilize research-based knowledge and methods, including the design of experiments, data analysis, and synthesis of information to derive valid conclusions.
- PO5: Modern Tool Usage – Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering tasks—while understanding their limitations.
- PO6: The Engineer and Society – Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues, and understand the responsibilities relevant to professional engineering practice.
- PO7: Environment and Sustainability – Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate awareness of and commitment to sustainable development.
- PO8: Ethics – Apply ethical principles and commit to professional ethics, responsibilities, and the norms of engineering practice.
- PO9: Individual and Team Work – Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
- PO10: Communication – Communicate effectively on complex engineering activities with both the engineering community and society, including:
- Comprehend and write effective reports
- Design documentation
- Make effective presentations
- Give and receive clear instructions
- PO11: Project Management and Finance – Demonstrate knowledge and understanding of engineering and management principles, and apply these in:
- One’s own work
- Team leadership
- Project management
- Multidisciplinary environments
- PO12: Life-long Learning – Recognize the need for, and develop the ability to engage in, independent and life-long learning within the broader context of technological change.
Program Specific Outcomes (PSOs)
- PSO1: Apply principles of algorithms, data structures, and software design, along with concepts from programming languages and computer organization and architecture.
- PSO2: Learn how information systems are implemented, maintained, and managed within targeted application settings.
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 |