Curriculum Overview
The Structural Design program at Maya Institute Of Technology And Management is structured to provide a comprehensive academic experience that balances theoretical knowledge with practical application. The curriculum spans eight semesters and includes core courses, departmental electives, science electives, and laboratory sessions designed to build both technical expertise and professional competencies.
Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
---|---|---|---|---|
I | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
I | PHY101 | Physics for Engineers | 3-1-0-4 | None |
I | CHE101 | Chemistry for Engineers | 3-1-0-4 | None |
I | MEC101 | Mechanics of Materials | 3-1-0-4 | ENG101, PHY101 |
I | CIV101 | Introduction to Civil Engineering | 2-0-0-2 | None |
I | MAT101 | Materials Science | 3-1-0-4 | PHY101, CHE101 |
I | ENG102 | Engineering Graphics & Design | 2-0-2-3 | None |
I | CS101 | Computer Programming | 2-0-2-3 | None |
I | ENG103 | Engineering Mechanics | 3-1-0-4 | ENG101, PHY101 |
I | PHY102 | Thermodynamics and Heat Transfer | 3-1-0-4 | PHY101 |
II | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
II | CIV201 | Structural Analysis I | 3-1-0-4 | MEC101, ENG103 |
II | CIV202 | Strength of Materials II | 3-1-0-4 | MEC101 |
II | MAT201 | Concrete Technology | 3-1-0-4 | MAT101 |
II | CIV203 | Surveying and Geomatics | 3-1-0-4 | ENG103 |
II | CIV204 | Soil Mechanics | 3-1-0-4 | MAT101, ENG103 |
II | CS201 | Data Structures and Algorithms | 3-1-0-4 | CS101 |
II | ENG202 | Fluid Mechanics | 3-1-0-4 | ENG101, PHY101 |
III | CIV301 | Structural Analysis II | 3-1-0-4 | CIV201 |
III | CIV302 | Steel Structures | 3-1-0-4 | CIV201, MEC101 |
III | CIV303 | Foundation Engineering | 3-1-0-4 | CIV204, MEC101 |
III | CIV304 | Transportation Engineering | 3-1-0-4 | CIV201, CIV203 |
III | MAT301 | Advanced Materials in Civil Engineering | 3-1-0-4 | MAT101 |
III | ENG301 | Engineering Economics and Cost Estimation | 2-1-0-3 | ENG101 |
III | CS301 | Database Management Systems | 3-1-0-4 | CS201 |
III | CIV305 | Construction Technology and Management | 3-1-0-4 | CIV201, CIV202 |
IV | CIV401 | Structural Dynamics and Earthquake Engineering | 3-1-0-4 | CIV301, ENG202 |
IV | CIV402 | Design of Concrete Structures | 3-1-0-4 | CIV302, CIV303 |
IV | CIV403 | Environmental Engineering | 3-1-0-4 | ENG202 |
IV | CIV404 | Geotechnical Engineering | 3-1-0-4 | CIV204, CIV303 |
IV | CS401 | Web Technologies and Applications | 3-1-0-4 | CS201 |
IV | CIV405 | Project Management and Risk Assessment | 3-1-0-4 | ENG301, CIV301 |
V | CIV501 | Advanced Structural Analysis | 3-1-0-4 | CIV301, CIV401 |
V | CIV502 | Special Topics in Structural Engineering | 3-1-0-4 | CIV402, CIV404 |
V | CIV503 | Finite Element Methods in Structural Engineering | 3-1-0-4 | CIV401, CS301 |
V | CIV504 | Smart Structures and Sensors | 3-1-0-4 | CIV401, CS301 |
V | CIV505 | Research Methodology and Thesis Writing | 2-0-0-2 | None |
V | CIV506 | Internship and Industry Exposure | 3-0-0-3 | None |
VI | CIV601 | Advanced Design of Structures | 3-1-0-4 | CIV501, CIV502 |
VI | CIV602 | Computational Modeling and Simulation | 3-1-0-4 | CIV503, CS401 |
VI | CIV603 | Environmental Impact Assessment | 3-1-0-4 | CIV403 |
VI | CIV604 | Sustainable Construction Technologies | 3-1-0-4 | CIV402, CIV502 |
VI | CIV605 | Final Year Project/Thesis | 4-0-0-4 | CIV501, CIV502, CIV503, CIV504 |
VI | CIV606 | Industry Internship | 3-0-0-3 | None |
Advanced Departmental Electives
The program offers several advanced departmental electives that allow students to explore specialized areas within structural engineering. These courses are designed to provide in-depth knowledge and practical skills required for professional success:
- Seismic Retrofitting of Existing Structures: This course delves into the techniques and methodologies used to enhance the seismic performance of existing buildings. Students learn about retrofitting strategies, including base isolation, damping systems, and strengthening methods using FRP composites. The course emphasizes hands-on lab work and case studies from real-world applications.
- Bridge Engineering and Design: Focused on bridge design principles, this elective covers the analysis and design of various types of bridges, including beam, truss, arch, and suspension systems. Students gain experience in using software tools like SAP2000 and ETABS for modeling and analyzing bridge structures.
- Structural Health Monitoring Systems: This course explores the integration of sensors, data acquisition systems, and signal processing techniques to monitor structural integrity. Students study real-time monitoring techniques, fault detection algorithms, and predictive maintenance strategies for critical infrastructure.
- Advanced Composite Materials in Civil Engineering: Emphasizing the use of composite materials in construction, this elective covers fiber-reinforced polymers (FRP), carbon fiber composites, and their applications in structural reinforcement. Students engage in laboratory experiments and design projects using these advanced materials.
- Sustainable Construction Practices: This course addresses sustainable practices in construction, including green building certification systems like LEED, life cycle assessment, energy-efficient designs, and waste minimization strategies. Students work on projects that incorporate eco-friendly technologies and materials.
- Computational Methods in Structural Engineering: Designed to bridge theory and computation, this course introduces students to finite element methods, numerical analysis, and programming languages like MATLAB and Python for structural simulations. Practical applications include stress analysis, dynamic response calculations, and optimization techniques.
- Fire Resistance of Structures: This elective focuses on fire safety considerations in building design, covering fire behavior of materials, fire protection systems, and heat transfer mechanisms. Students learn to analyze structural performance under fire conditions and develop fire-resistant designs using protective measures like intumescent coatings and sprinkler systems.
- Smart Infrastructure Technologies: Integrating technology with infrastructure, this course explores IoT sensors, wireless networks, data analytics, and AI applications in civil engineering. Students work on smart city projects involving structural monitoring, intelligent transportation systems, and predictive maintenance technologies.
- Advanced Finite Element Analysis: Building upon foundational knowledge, this course covers advanced topics in finite element modeling including nonlinear behavior, material properties, boundary conditions, and post-processing techniques. Students gain proficiency in complex structural modeling and simulation using commercial software packages.
- Structural Optimization Techniques: This elective introduces optimization methods in structural engineering, including genetic algorithms, neural networks, and multi-objective optimization strategies. Students learn to optimize structural systems for weight, cost, performance, and safety while meeting regulatory requirements.
Project-Based Learning Framework
The Structural Design program places significant emphasis on project-based learning to ensure students develop practical skills alongside theoretical knowledge. The framework includes both mini-projects and a final-year thesis/capstone project:
- Mini-Projects (Years I-II): These projects are assigned during the second year and typically involve analyzing simple structures or designing components for buildings. Students work in teams, applying fundamental principles learned in class to solve real-world problems.
- Final-Year Thesis/Capstone Project (Year IV): The capstone project is a comprehensive endeavor that requires students to integrate knowledge from all previous semesters. Projects are often sponsored by industry partners or conducted under faculty supervision. Students must demonstrate proficiency in research, analysis, design, and presentation.
Students select their projects based on interest, availability of mentors, and alignment with their career goals. Faculty mentors guide students throughout the project lifecycle, ensuring academic rigor and professional development. Evaluation criteria include technical depth, innovation, presentation quality, and peer feedback.