This course includes materials on AI programming, logic, search, game playing, machine learning, natural language understanding, and robotics, which will introduce the student to AI methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence. The material is introductory; the readings cite many resources outside those assigned in this course, and students are encouraged to explore these resources to pursue topics of interest. 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. (Computer Science 405)

Video Description:  In this close-up video, Dr. Hannah Kerner, Artificial Intelligence Lead at NASA Harvest, shares her experiences in writing code and developing machine learning algorithms that enable NASA satellites to monitor where food is being grown. She describes how her hobbies of hiking, scuba diving, and volunteering intersect with her work.  Video Length:  2:28.NASA eClipsTM is a suite of online student-centered, standards-based resources that support instruction by increasing STEM literacy in formal and nonformal settings.  These free digital and downloadable resources inform and engage students through NASA-inspired, real-world connections.NASA eClips Ask SME: Close-up with a NASA Subject Matter Expert videos are professionally developed to capture a glimpse of NASA SME's personal interests and career journeys. Each can be used to spark student interest and broaden their ideas of the STEM workforce. Additional videos in this series can be found by searching GoOpenVA using "NASA eClips Ask SME".

NASA eClips Real World:  Food Security -- Monitoring Crops from SpaceVideo Description:  Discover how NASA's Earth-observing satellites gather data to monitor food growth. Dr. Inbal Becker-Reshef describes how mathematics is used to interpret satellite data and describe vegetation and crop yield. Dr. Hannah Kerner shares how algorithms and models use NASA data to describe and predict food supply and food shortages. This work through NASA Harvest provides tools for farmers and governments to describe and predict food security worldwide. Video Length:  5:25.NASA eClipsTM is a suite of online student-centered, standards-based resources that support instruction by increasing STEM literacy in formal and nonformal settings.  These free digital and downloadable resources inform and engage students through NASA-inspired, real-world connections.NASA eClips Real World segments (grades 6-8) connect classroom mathematics to 21st Century careers and innovations.  They are designed for students to develop an appreciation for mathematics through real-world problem solving.