Lecture
This lecture covers the different project types available, including open topics and deep learning projects. It discusses the expectations for the projects, such as critical thinking, testing different approaches, and being thorough in the documentation. The lecture also outlines the project outcome requirements, group sizes, deadlines, and submission details. Additionally, it provides a detailed schedule of project milestones and deliverables, emphasizing the importance of being critical and sharing feedback. The lecture concludes with practical advice for students, highlighting the importance of choosing feasible project ideas and utilizing Python effectively.