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8/20 The submission site is online. To use it, you must be logged in with your UMBC credentials.
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8/20 The syllabus is available.
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8/20 See the Discord server for class announcements and Q&A.
Check out the syllabus for all this information, including policies on academic honesty, accomodations, and late assignments.
- Meeting Times
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Sondheim 206
Monday & Wednesday, 10:00AM -- 11:15 AM
- Instructor
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Frank Ferraro
ferraro [at] umbc [dot] edu
Monday 11:15-12:00
by appointment
- TAs
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TBD
TBD [at] umbc [dot] edu
TBD
- Topics
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The topics covered will include problem-solving approaches, problem spaces and search, knowledge representation and reasoning, logic and deduction, planning, expert systems, handling uncertainty, learning and natural language understanding. Other special or current topics (e.g., fairness and ethics in AI) may be covered as well.
- Goals
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After taking this course, you will
- be introduced to some of the core problems and solutions of artificial intelligence (AI);
- learn different ways that success and progress can be measured in AI;
- be exposed to how these problems relate to those in computer science and subfields of computer science
- have experience experimenting with AI approaches;
- practice your (written) communication skills.
The following schedule of topics is subject to change.
Readings will be from the freely available, online text Artificial Intelligence: Foundations of Computational Agents, 3rd Edition:
http://artint.info
The schedule will be updated soon.