The quest for food security, renewable energy, climate change and demand for sustainable fuels has increased focus on biomass conversion and technological interventions to cope with these challenges. This course covers advanced topics in bioresource engineering to acquire an understanding of sustainability challenges in bioresource sector and propose optimal climate smart solutions by implementing technologies and processes. The course is delivered in three complementary modules: i) deep learning and artificial intelligence for sustainable food production, ii) biofuels and biomaterials, and iii) the design of biomass conversion reactors. Graduate-level project will be required as defined in consultation with the instructor. Cross-level listed with ENGN-4101; credit cannot be received for both courses. 06-09-2023-22-12-2023 Graduate Studies Days to be Announced, Times to be Announced, Room to be Announced
- Teacher: Yulin Hu
- Teacher: Engineering TBA