Artificial Intelligence has emerged as an increasingly impactful discipline in science and technology. AI applications are embedded in the infrastructure of many products and industries search engines, medical diagnoses, speech recognition, robot control, web search, advertising and even toys.
This introductory course provides a broad overview of modern artificial intelligence. Learn how machines can engage in problem solving, reasoning, learning, and interaction. Design, test and implement algorithms. Gain an appreciation of this dynamic field.
- Percy Liang Assistant Professor, Computer Science
- Constraint satisfaction
- Markov decision processes
- Planning and game playing
- Machine learning
- Graphical models
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
3.0 - 4.0
Students enrolling under the non degree option are required to take the course for 4.0 units.