Comprehensive Course Structure
The Engineering program at S R University Warangal follows a structured curriculum designed to provide students with comprehensive knowledge and practical skills across multiple engineering disciplines. The program spans eight semesters, with each semester containing a carefully balanced mix of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MATH101 | Mathematics I | 3-1-0-4 | - |
| 1 | MATH102 | Mathematics II | 3-1-0-4 | MATH101 |
| 1 | PHYS101 | Physics I | 3-1-0-4 | - |
| 1 | PHYS102 | Physics II | 3-1-0-4 | PHYS101 |
| 1 | CHEM101 | Chemistry I | 3-1-0-4 | - |
| 1 | CHEM102 | Chemistry II | 3-1-0-4 | CHEM101 |
| 1 | ENG101 | Introduction to Engineering and Problem Solving | 2-0-2-3 | - |
| 1 | CS101 | Computer Programming | 2-0-2-3 | - |
| 1 | ENG102 | Engineering Graphics and Design | 2-0-2-3 | - |
| 1 | L101 | Mathematics Lab I | 0-0-4-2 | MATH101 |
| 1 | L102 | Physics Lab I | 0-0-4-2 | PHYS101 |
| 1 | L103 | Chemistry Lab I | 0-0-4-2 | CHEM101 |
| 1 | L104 | Programming Lab | 0-0-4-2 | CS101 |
| 2 | MATH201 | Mathematics III | 3-1-0-4 | MATH102 |
| 2 | MECH201 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | FLUID201 | Fluid Mechanics | 3-1-0-4 | - |
| 2 | ELEC201 | Electrical Circuits and Electronics Fundamentals | 3-1-0-4 | - |
| 2 | THERM201 | Thermodynamics | 3-1-0-4 | - |
| 2 | MAT201 | Introduction to Materials Science | 3-1-0-4 | - |
| 2 | ENG201 | Engineering Ethics and Professional Practice | 2-0-2-3 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-1-0-4 | CS101 |
| 2 | L201 | Mechanics Lab | 0-0-4-2 | MECH201 |
| 2 | L202 | Fluid Mechanics Lab | 0-0-4-2 | FLUID201 |
| 2 | L203 | Electronics Lab | 0-0-4-2 | ELEC201 |
| 2 | L204 | Materials Science Lab | 0-0-4-2 | MAT201 |
| 3 | CS301 | Database Systems | 3-1-0-4 | CS201 |
| 3 | ELEC301 | Power Systems Analysis | 3-1-0-4 | ELEC201 |
| 3 | CIVIL301 | Structural Analysis | 3-1-0-4 | - |
| 3 | MECH301 | Heat Transfer | 3-1-0-4 | - |
| 3 | MAT301 | Advanced Materials Science | 3-1-0-4 | MAT201 |
| 3 | CS302 | Operating Systems | 3-1-0-4 | CS201 |
| 3 | ELEC302 | Control Systems | 3-1-0-4 | ELEC201 |
| 3 | CIVIL302 | Geotechnical Engineering | 3-1-0-4 | - |
| 3 | MECH302 | Manufacturing Processes | 3-1-0-4 | - |
| 3 | L301 | Database Systems Lab | 0-0-4-2 | CS301 |
| 3 | L302 | Power Systems Lab | 0-0-4-2 | ELEC301 |
| 3 | L303 | Structural Analysis Lab | 0-0-4-2 | CIVIL301 |
| 3 | L304 | Heat Transfer Lab | 0-0-4-2 | MECH301 |
| 4 | CS401 | Artificial Intelligence and Machine Learning | 3-1-0-4 | CS301 |
| 4 | ELEC401 | Cybersecurity Fundamentals | 3-1-0-4 | ELEC201 |
| 4 | CIVIL401 | Transportation Engineering | 3-1-0-4 | - |
| 4 | MECH401 | Machine Design | 3-1-0-4 | - |
| 4 | MAT401 | Advanced Polymer Science | 3-1-0-4 | MAT301 |
| 4 | CS402 | Software Architecture and Design Patterns | 3-1-0-4 | CS302 |
| 4 | ELEC402 | Digital Signal Processing | 3-1-0-4 | ELEC201 |
| 4 | CIVIL402 | Environmental Engineering | 3-1-0-4 | - |
| 4 | MECH402 | Advanced Manufacturing Systems | 3-1-0-4 | MECH302 |
| 4 | L401 | AI and ML Lab | 0-0-4-2 | CS401 |
| 4 | L402 | Cybersecurity Lab | 0-0-4-2 | ELEC401 |
| 4 | L403 | Transportation Engineering Lab | 0-0-4-2 | CIVIL401 |
| 4 | L404 | Machine Design Lab | 0-0-4-2 | MECH401 |
| 5 | CS501 | Deep Learning and Neural Networks | 3-1-0-4 | CS401 |
| 5 | ELEC501 | Network Security | 3-1-0-4 | ELEC401 |
| 5 | CIVIL501 | Earthquake Engineering | 3-1-0-4 | - |
| 5 | MECH501 | Advanced Thermodynamics | 3-1-0-4 | THERM201 |
| 5 | MAT501 | Nanomaterials and Nanotechnology | 3-1-0-4 | MAT401 |
| 5 | CS502 | Cloud Computing and DevOps | 3-1-0-4 | CS402 |
| 5 | ELEC502 | Signal Processing Applications | 3-1-0-4 | ELEC402 |
| 5 | CIVIL502 | Construction Materials and Methods | 3-1-0-4 | - |
| 5 | MECH502 | Advanced Robotics | 3-1-0-4 | - |
| 5 | L501 | Deep Learning Lab | 0-0-4-2 | CS501 |
| 5 | L502 | Network Security Lab | 0-0-4-2 | ELEC501 |
| 5 | L503 | Earthquake Engineering Lab | 0-0-4-2 | CIVIL501 |
| 5 | L504 | Advanced Robotics Lab | 0-0-4-2 | MECH502 |
| 6 | CS601 | Natural Language Processing | 3-1-0-4 | CS501 |
| 6 | ELEC601 | Digital Forensics | 3-1-0-4 | ELEC501 |
| 6 | CIVIL601 | Sustainable Construction Practices | 3-1-0-4 | - |
| 6 | MECH601 | Computational Fluid Dynamics | 3-1-0-4 | - |
| 6 | MAT601 | Biomaterials and Tissue Engineering | 3-1-0-4 | MAT501 |
| 6 | CS602 | Software Testing and Quality Assurance | 3-1-0-4 | CS502 |
| 6 | ELEC602 | Wireless Communication Systems | 3-1-0-4 | ELEC402 |
| 6 | CIVIL602 | Urban Planning and Development | 3-1-0-4 | - |
| 6 | MECH602 | Advanced Manufacturing Technologies | 3-1-0-4 | MECH502 |
| 6 | L601 | NLP Lab | 0-0-4-2 | CS601 |
| 6 | L602 | Digital Forensics Lab | 0-0-4-2 | ELEC601 |
| 6 | L603 | Sustainable Construction Lab | 0-0-4-2 | CIVIL601 |
| 6 | L604 | CFD Lab | 0-0-4-2 | MECH601 |
| 7 | CS701 | Reinforcement Learning | 3-1-0-4 | CS601 |
| 7 | ELEC701 | Quantum Computing Security | 3-1-0-4 | ELEC601 |
| 7 | CIVIL701 | Smart Infrastructure Systems | 3-1-0-4 | - |
| 7 | MECH701 | Advanced Heat Transfer | 3-1-0-4 | MECH501 |
| 7 | MAT701 | Advanced Polymer Engineering | 3-1-0-4 | MAT601 |
| 7 | CS702 | Big Data Analytics | 3-1-0-4 | CS602 |
| 7 | ELEC702 | Embedded Systems Design | 3-1-0-4 | ELEC502 |
| 7 | CIVIL702 | Water Resources Engineering | 3-1-0-4 | - |
| 7 | MECH702 | Advanced Manufacturing Systems | 3-1-0-4 | MECH602 |
| 7 | L701 | Reinforcement Learning Lab | 0-0-4-2 | CS701 |
| 7 | L702 | Quantum Security Lab | 0-0-4-2 | ELEC701 |
| 7 | L703 | Smart Infrastructure Lab | 0-0-4-2 | CIVIL701 |
| 7 | L704 | Advanced Manufacturing Lab | 0-0-4-2 | MECH702 |
| 8 | CS801 | Capstone Project - AI and Machine Learning | 3-0-6-9 | CS701 |
| 8 | ELEC801 | Capstone Project - Cybersecurity | 3-0-6-9 | ELEC701 |
| 8 | CIVIL801 | Capstone Project - Sustainable Infrastructure | 3-0-6-9 | - |
| 8 | MECH801 | Capstone Project - Advanced Manufacturing | 3-0-6-9 | - |
| 8 | MAT801 | Capstone Project - Biomaterials and Nanotechnology | 3-0-6-9 | - |
| 8 | CS802 | Project Management and Leadership | 2-0-2-3 | - |
| 8 | ELEC802 | Research Methodology | 2-0-2-3 | - |
| 8 | CIVIL802 | Environmental Impact Assessment | 2-0-2-3 | - |
| 8 | MECH802 | Industrial Internship | 0-0-6-3 | - |
| 8 | MAT802 | Capstone Project - Advanced Materials | 3-0-6-9 | - |
| 8 | L801 | Final Year Project Lab | 0-0-12-6 | CS801 |
| 8 | L802 | Internship Lab | 0-0-12-6 | MECH802 |
Advanced Departmental Elective Courses
Departmental elective courses in the Engineering program at S R University Warangal provide students with opportunities to explore specialized areas within their chosen discipline. These courses are designed to deepen understanding of advanced topics and prepare students for specialized careers or further research.
The Deep Learning and Neural Networks course offers comprehensive coverage of modern artificial intelligence techniques, including convolutional neural networks, recurrent neural networks, and transformer architectures. Students learn to implement complex models using frameworks like TensorFlow and PyTorch, gaining practical experience in developing AI solutions for real-world problems.
Network Security explores contemporary threats and defense mechanisms in networked environments, covering topics such as intrusion detection systems, firewalls, and secure network design. Students develop skills in identifying vulnerabilities and implementing robust security measures using industry-standard tools and methodologies.
The Earthquake Engineering course focuses on seismic analysis and design principles for structures subjected to earthquake forces. Students study ground motion characteristics, structural response analysis, and retrofitting techniques for existing buildings. The course includes practical sessions on seismic design software and field visits to earthquake-prone areas.
Advanced Thermodynamics delves into complex thermodynamic systems and processes, including non-equilibrium thermodynamics and statistical mechanics. Students explore applications in power generation, refrigeration, and chemical engineering, gaining insights into advanced energy conversion technologies.
Biomaterials and Tissue Engineering combines principles from materials science and biology to develop materials for medical applications. The course covers biocompatibility, material selection criteria, and tissue engineering approaches for regenerative medicine. Students work on projects involving drug delivery systems and implant design.
Reinforcement Learning introduces students to decision-making processes in uncertain environments using mathematical frameworks and algorithmic approaches. Topics include Markov decision processes, Q-learning, policy gradients, and deep reinforcement learning techniques. The course emphasizes practical implementation through programming assignments and research projects.
Quantum Computing Security explores the intersection of quantum physics and cybersecurity, examining how quantum computing can both threaten and enhance security systems. Students study quantum key distribution protocols, quantum algorithms for cryptography, and post-quantum cryptographic methods that resist quantum attacks.
Smart Infrastructure Systems covers the integration of information technology and engineering principles in urban development projects. Students learn about sensor networks, data analytics, and automation technologies used in smart city applications. The course includes case studies of successful smart infrastructure implementations and hands-on experience with IoT platforms.
Advanced Heat Transfer focuses on complex heat transfer phenomena including radiation, convection, and phase change processes. Students study advanced analytical methods and numerical techniques for solving heat transfer problems in industrial applications. Practical sessions involve computational fluid dynamics simulations and experimental validation of heat transfer models.
Advanced Polymer Engineering explores the synthesis, characterization, and application of advanced polymeric materials with specialized properties. The course covers polymer processing techniques, material selection criteria for engineering applications, and emerging trends in smart polymers and biodegradable materials.
Project-Based Learning Philosophy
The department's approach to project-based learning is rooted in the belief that real-world problem-solving skills are essential for future engineers. This philosophy emphasizes hands-on experience, interdisciplinary collaboration, and practical application of theoretical knowledge throughout the academic journey.
Mini-projects begin in the second year, providing students with early exposure to engineering design processes and collaborative work environments. These projects typically last 4-6 weeks and involve small teams working on specific engineering challenges under faculty supervision. Students develop skills in problem identification, research methodology, design thinking, and technical communication.
The final-year capstone project represents the culmination of students' academic experience, requiring them to integrate knowledge from multiple disciplines to address complex engineering problems. Projects are typically sponsored by industry partners or conducted in collaboration with research laboratories, ensuring relevance to current market needs and technological trends.
Project selection involves a structured process where students present their interests and career aspirations to faculty advisors. The department maintains a database of project ideas from various sources including industry partnerships, research initiatives, and faculty research areas. Students are encouraged to propose innovative project ideas that align with their academic interests and professional goals.
Evaluation criteria for projects consider technical merit, innovation, teamwork, presentation skills, and adherence to engineering standards. Faculty mentors provide regular feedback and guidance throughout the project lifecycle, ensuring students develop both technical expertise and professional skills necessary for career success.