Mathematical and computational foundations of aerospace systems autonomy; basic concepts to undertake the study of aerospace autonomous and intelligent systems (data structures, algorithms, probability theory, and optimization); classical artificial intelligence topics include search, constraint satisfaction, and logical and probabilistic reasoning; applications include planetary rovers and satellite swarms. Prerequisites: Grade of C or better in SPEN 401 or AERO 401, or concurrent enrollment Credits 3. 3 Lecture Hours.
Mathematical and computational foundations of aerospace systems autonomy; basic concepts to undertake the study of aerospace autonomous and intelligent systems (data structures, algorithms, probability theory, and optimization); classical artificial intelligence topics include search, constraint satisfaction, and logical and probabilistic reasoning; applications include planetary rovers and satellite swarms. Prerequisites: Grade of C or better in SPEN 401 or AERO 401, or concurrent enrollment Credits 3. 3 Lecture Hours.
