This course introduces the field of artificial intelligence (AI). Materials on AI programming, logic, search, game playing, machine learning, natural language understanding, and robotics introduce the student to AI methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence.
Because each of these topics could be a course unto itself, the material is introductory and not complete. Each unit presents the problem a topic addresses, current progress, and approaches to the problem. The readings include and cite more materials that are referenced in this course, and students are encouraged to use these resources to pursue topics of interest after this course.
Upon successful completion of this course, the student will be able to:
- Describe the major applications, topics, and research areas of artificial intelligence (AI), including search, machine learning, knowledge representation and inference, natural language processing, vision, and robotics.
- Apply basic techniques of AI in computational solutions to problems.
- Discuss the role of AI research areas in growing the understanding of human intelligence.
- Identify the boundaries of the capabilities of current AI systems.
