The B.Tech. Computer Science & Engineering (Computational Sustainability) program offered by UPES School of Computer Science is a unique and interdisciplinary course designed to equip students with the skills and knowledge needed to address complex sustainability challenges using computational techniques. By integrating principles from computer science, information science, operations research, applied mathematics, and statistics, this program focuses on finding innovative solutions to achieve a balance between environmental preservation, economic growth, and societal well-being.
The program's core emphasis is on cultivating proficiency in developing computational and mathematical models, methods, and tools that aid decision-making processes. Students will delve into critical issues of resource management and allocation, which are fundamental to resolving intricate sustainability problems. This course strives to nurture students' ability to identify and tackle computational research questions associated with sustainability, fostering a deeper understanding of the key methodologies and limitations within Computational Sustainability. Through a comprehensive curriculum, students will gain insights into a range of topics such as constraint satisfaction, optimization problems, probabilistic reasoning, machine learning techniques, game theory, agent-based models, and dynamical models.
Ultimately, B.Tech. Computer Science & Engineering (Computational Sustainability) is designed to offer a holistic and high-level perspective on various subjects, enabling graduates to approach real-world sustainability problems with a multidisciplinary mindset. The program's graduates will be well-prepared to contribute to the advancement of sustainable development by applying cutting-edge computational approaches, making informed decisions, and driving positive change at the intersection of technology and sustainability.