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CS486 COURSE DETAILS


3 Version(s) of this Course

CS486 (Version: 2022 2) COURSE DETAILS


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
CS486 ARTIFICIAL INTELLIGENCE 2022 2 Electrical Engineering and Computer Science 3.0 (BS=0.0, ET=0.0, MA=0.0)
SCOPE
The course provides an introduction to the field of Artificial Intelligence (AI). Cadets will develop an appreciation for the domain of AI and an understanding of the current interest and research in the field. The historical ideas and techniques of AI and the resulting set of concepts will be covered. Classic programs will be covered as well as underlying theory. Topics include a history of computer problem solving, heuristic search techniques, knowledge representation, knowledge engineering, predicate calculus, and expert and/or rule based systems. Advanced topics that may be covered include intelligent agents, genetic algorithms, neural networks, fuzzy logic, robotics, vision, natural language processing, learning, and the programming languages of AI. The course will emphasize the practical application of artificial intelligence to industry and business as well as DoD.
LESSONS: 40 @ 55 min (2.500 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
Term project/paper; compensatory time given.

CS486 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  CS384 2019 2 1 Y
  EE360 2014 1 1 Y
  MA206 2019 2 1 Y
  CS384 2019 2 2 Y
  EE300 2011 1 2 Y
  MA206 2019 2 2 Y
  CS384 2019 2 3 Y
  EE360 2014 1 3 Y
  MA256 2019 2 3 Y
  CS384 2019 2 4 Y
  EE300 2011 1 4 Y
  MA256 2019 2 4 Y

CS486 (Version 2022-2) COURSE OFFERINGS


AYT #SECT/SIZE CPBLTY ENRLD WAIT SEATS CLOSED CRSE DIRECTOR DETAILS
2023 - 1 2 18 36 26 0 10 N DR NOVITZKY Hours

2024 - 1 2 18 36 32 0 4 N COL MENTIS Hours

2025 - 1 2 18 36 33 0 3 N COL MENTIS Hours

2025 - 8 1 18 18 0 0 18 N Hours


CS486 (Version: 2004 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
CS486 ARTIFICIAL INTELLIGENCE 2004 1 Electrical Engineering and Computer Science 3.0 (BS=0.0, ET=0.0, MA=0.0)
SCOPE
The course provides an introduction to the field of Artificial Intelligence (AI). Cadets will develop an appreciation for the domain of AI and an understanding of the current interest and research in the field. The historical ideas and techniques of AI and the resulting set of concepts will be covered. Classic programs will be covered as well as underlying theory. Topics include a history of computer problem solving, heuristic search techniques, knowledge representation, knowledge engineering, predicate calculus, and expert and/or rule based systems. Advanced topics that may be covered include intelligent agents, genetic algorithms, neural networks, fuzzy logic, robotics, vision, natural language processing, learning, and the programming languages of AI. The course will emphasize the practical application of artificial intelligence to industry and business as well as DoD.
LESSONS: 32 @ 55 min (2.500 Att/wk) LABS: 8 @ 55 min
SPECIAL REQUIREMENTS:
Term project/paper; compensatory time given.

CS486 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  CS384 1998 1 1 Y
  EE360 2005 1 1 Y
  CS384 1998 1 2 Y
  EE300 2005 1 2 Y

CS486 (Version: 1997 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
CS486 ARTIFICIAL INTELLIGENCE 1997 1 Electrical Engineering and Computer Science 3.0 (BS=0.0, ET=0.0, MA=0.0)
SCOPE
The course is a survey of artificial intelligence topics and technologies. Students in the course will develop an understanding of the broad range of disciplines associated with artificial intelligence and an appreciation for the types of problems to which AI techniques may be applied. Topics include search techniques, predicate calculus, knowledge representation, expert and knowledge based systems, machine learning, neural networks, genetic algorithms, and intelligent agents.
LESSONS: 32 @ 55 min (2.500 Att/wk) LABS: 8 @ 55 min
SPECIAL REQUIREMENTS:
Term project/paper; compensatory time given.

CS486 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  CS380 1990 1 1 Y
  CS385 1990 1 1 Y