Comprehensive Course Listing
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | CS101 | Introduction to Climate Resilience | 3-0-0-3 | - |
| I | CH101 | Chemistry for Engineers | 3-0-0-3 | - |
| I | PH101 | Physics for Engineers | 3-0-0-3 | - |
| I | MA101 | Mathematics I | 4-0-0-4 | - |
| I | ES101 | Environmental Science | 3-0-0-3 | - |
| I | CS102 | Programming Fundamentals | 3-0-0-3 | - |
| II | MA201 | Mathematics II | 4-0-0-4 | MA101 |
| II | PH201 | Thermodynamics and Heat Transfer | 3-0-0-3 | PH101 |
| II | CH201 | Materials Science | 3-0-0-3 | CH101 |
| II | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS102 |
| II | ES201 | Climate Change and Society | 3-0-0-3 | - |
| III | MA301 | Probability and Statistics | 3-0-0-3 | MA201 |
| III | PH301 | Fluid Mechanics | 3-0-0-3 | PH201 |
| III | CS301 | Machine Learning | 3-0-0-3 | CS201 |
| III | ES301 | Climate Modeling | 3-0-0-3 | - |
| III | ME301 | Engineering Design Principles | 3-0-0-3 | - |
| IV | MA401 | Advanced Mathematics | 3-0-0-3 | MA301 |
| IV | CS401 | Data Science and Analytics | 3-0-0-3 | CS301 |
| IV | ES401 | Climate Risk Assessment | 3-0-0-3 | - |
| IV | ME401 | Infrastructure Design | 3-0-0-3 | ME301 |
| IV | CS402 | Deep Learning | 3-0-0-3 | CS401 |
| V | ES501 | Advanced Climate Science | 3-0-0-3 | - |
| V | CS501 | Climate Data Science | 3-0-0-3 | CS402 |
| V | ME501 | Renewable Energy Systems | 3-0-0-3 | - |
| V | ES502 | Disaster Management | 3-0-0-3 | - |
| V | CS502 | AI for Sustainability | 3-0-0-3 | CS501 |
| VI | ES601 | Sustainable Urban Planning | 3-0-0-3 | - |
| VI | ME601 | Green Infrastructure Engineering | 3-0-0-3 | - |
| VI | CS601 | Climate Policy and Economics | 3-0-0-3 | - |
| VI | ES602 | Water Security & Resource Management | 3-0-0-3 | - |
| VII | CS701 | Capstone Project I | 4-0-0-4 | - |
| VIII | CS801 | Capstone Project II | 4-0-0-4 | - |
Advanced Departmental Elective Courses
Climate Data Science: This course delves into the application of data science techniques to climate modeling, prediction, and policy formulation. Students learn how to collect, process, and analyze large datasets from satellites, weather stations, and climate models to generate actionable insights.
Renewable Energy Systems: Designed for students interested in sustainable energy solutions, this course covers the principles of solar, wind, hydroelectric, and geothermal power generation. It includes hands-on laboratory sessions where students design and test small-scale renewable energy systems.
Sustainable Urban Planning: This course explores how cities can be designed to withstand climate impacts while promoting economic growth and social equity. Students engage in urban simulations, learn about green building standards, and develop plans for climate-resilient neighborhoods.
Disaster Risk Management: Students study the causes and effects of natural disasters, including hurricanes, earthquakes, floods, and wildfires. The course emphasizes mitigation strategies, emergency response protocols, and community resilience planning.
Green Infrastructure Engineering: This elective focuses on designing and implementing eco-friendly infrastructure such as green roofs, permeable pavements, constructed wetlands, and bioswales to manage stormwater runoff and reduce urban heat islands.
Climate Adaptation Policy: This course examines national and international policies aimed at adapting to climate change. Students analyze policy frameworks, draft adaptation plans, and evaluate the effectiveness of various regulatory mechanisms.
Water Security & Resource Management: Addressing the growing challenge of water scarcity, this course covers water cycle management, conservation strategies, pollution control, and equitable distribution systems in a changing climate.
Climate Finance & Economics: This course explores how financial markets and investment mechanisms can be leveraged to fund climate resilience initiatives. Students learn about green bonds, carbon trading, and ESG investing as tools for sustainable development.
Climate Modeling and Forecasting: Students gain proficiency in using numerical models to simulate climate systems and forecast future environmental conditions. The course includes training on software platforms like WRF and CESM used by research institutions globally.
Remote Sensing for Climate Monitoring: This course teaches the use of satellite imagery and remote sensing technologies for monitoring land use changes, vegetation health, ocean temperatures, and atmospheric composition.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered around experiential education that bridges theory and practice. Students are encouraged to engage in interdisciplinary projects that address real-world challenges related to climate resilience. These projects often involve collaboration with industry partners, government agencies, or non-profit organizations.
Mini-projects begin in the third year, allowing students to apply concepts learned in coursework to practical scenarios. These projects typically span 6-8 weeks and require students to work in teams under the supervision of faculty mentors. The scope of these projects is broad, ranging from designing a climate-resilient school building to analyzing flood risk maps for a local municipality.
The final-year thesis or capstone project is an extended, independent research endeavor that culminates in a comprehensive report and presentation. Students select their topic in consultation with faculty advisors based on their interests and career goals. The project must demonstrate originality, rigor, and relevance to current issues in climate resilience.
Evaluation criteria for all projects include technical soundness, creativity, feasibility, impact potential, and presentation quality. Students are assessed not only on the outcome of their work but also on their ability to communicate complex ideas clearly and effectively.