Preparing for Exams

Related lectures (32)

Page 2 of 4

Explores strategies to support students in project-based learning and enhance their design skills and project management abilities.

Introduces the course 'How People Learn II', focusing on educational concepts and practical applications in project-based learning.

Covers plotting, date references, time representation, and structures in Matlab/Octave.

Emphasizes time management, audience engagement, and feedback for effective presentations.

Emphasizes the importance of clear justifications and effective argumentation in AI ethics exams, focusing on quality over substance.

Covers the fundamental aspects of project planning and management principles.

Covers atomic execution in threads, race conditions, shared variables, and synchronized blocks.

Explores LabVIEW design patterns, covering local and global variables, race conditions, state machines, and producer-consumer architecture.

Explores concurrency properties, race conditions, and the basics of locks.

Explores Arduino data acquisition, emphasizing global variables, race conditions, and state machines.