Course Enrollment and Live Session Instructions

Related lectures (32)

Page 2 of 4

Explores the essential traits of effective leadership, emphasizing vision, sincerity, and inspiration.

Discusses the impact of interaction, biases, and feedback on learning tools and educational settings.

Examines motivation, interest dynamics, and the impact on learning outcomes.

Explores stakeholder motivations, goal achievement, and business-IT alignment through real-world examples and frameworks.

Delves into intrinsic motivation, embodied AI, information demand, novelty, and curiosity in decision-making.

Reflects on the journey taken throughout the year and encourages students to persevere.

Explores motivation, rewards, and the impact of the environment on behavior.

Explores sensory representations, perception, memory, cognitive control, and neural networks.

Covers the basics of machine learning for physicists and chemists, focusing on image classification and dataset labeling.

Explores the importance of student feedback on teaching and strategies for effective evaluations.