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| Course: | INFO629 - Concepts in Artificial Intelligence |
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| On Campus Offering: | None |
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| Online Offering: | Winter |
| | Faculty: | Weber, Rosina
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| Extended Course Description: | Catalog Course Description:
Introduces the concepts, principles, and techniques of artificial intelligence (AI), with emphasis on its application to information systems.
Pre-requisites and Co-requisites:
Requires an understanding of databases, the systems life cycle, and general information systems modeling techniques. Specific prerequisite course is:
INFO 620 Information Systems Analysis and Design
Curriculum Role:
This course is elective.
Course Rationale:
This course introduces the basic concepts in AI and discusses their applications. This fundamental knowledge of these concepts prepares information system graduates to determine whether they need to study further any of the methods that implement the concepts.
Course Outcomes:
Upon successful completion of this course, a student will be able to:
• Recognize the main AI methods
• Distinguish knowledge based from data-intensive intelligent methods
• Distinguish knowledge bases from databases
• Relate AI methods with reasoning tasks
• Summarize published articles describing AI applications
• Justify the usefulness of software packages
Course Content:
Principal topics and the approximate number of weeks devoted to each are:
• Introduction (1)
• Search (2)
• Knowledge representation (3)
• Expert systems (1)
• Machine learning (1)
• Intelligent agency (1)
• Advanced topics, such as robotics, computer vision, and natural language processing (1)
Presentation:
Note: Presentation method may vary somewhat from section to section.
The principal method of presentation is by lecture, in-class presentation, and class discussion.
Assessment:
Note: Assessment method may vary somewhat from section to section.
Evaluation is by examination, homework assignments, and a final project.
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