CPS 440 Artificial Intelligence and Symbolic Programming
Description:
Machine intelligence. Heuristic programming. Representation and control in LISP and PROLOG. Applications to search, rule-based diagnosis, and parsing.
Effective Dates:
SS95 - FS98
CPS 440 Artificial Intelligence and Symbolic Programming
Description:
Machine intelligence. Heuristic programming. Representation and control in LISP and PROLOG. Applications to search, rule-based diagnosis, and parsing.
Effective Dates:
SS99 - SS99
CSE 440 Artificial Intelligence and Symbolic Programming
Description:
Machine intelligence. Heuristic programming. Representation and control in LISP and PROLOG. Applications to search, rule-based diagnosis, and parsing.
Effective Dates:
US99 - US99
CSE 440 Artificial Intelligence and Symbolic Programming
Description:
Machine intelligence. Heuristic programming. Representation and control in LISP and PROLOG. Applications to search, rule-based diagnosis, and parsing.
Effective Dates:
FS99 - US02
CSE 440 Artificial Intelligence and Symbolic Programming
Description:
Machine intelligence. Heuristic programming. Representation and control in LISP and PROLOG. Applications to search, rule-based diagnosis, and parsing.
Effective Dates:
FS02 - US04
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Prerequisite:
CSE 331 or CSE 335
Restrictions:
Open only to students in the Department of Computer Science and Engineering or the Computer Engineering major or the LBS Computer Science field of concentration or the LBS Computer Science coordinate major or the Computer Science disciplinary teaching minor.
Not open to students with credit in:
CPS 440
Description:
Fundamental issues in intelligent systems. Knowledge representation and mechanisms of reasoning. Search and constraint satisfaction. Agents. Application areas of AI and current topics.
Effective Dates:
FS04 - FS13
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to students in the Department of Computer Science and Engineering or in the Computer Engineering Major or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Computer Science Disciplinary Teaching Minor.
Not open to students with credit in:
CPS 440
Description:
Fundamental issues in intelligent systems. Knowledge representation and mechanisms of reasoning. Search and constraint satisfaction. Agents. Application areas of AI and current topics.
Effective Dates:
SS14 - US15
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to students in the Computer Engineering Major or in the Computer Science Major or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Computer Science Disciplinary Teaching Minor.
Not open to students with credit in:
CPS 440
Description:
Fundamental issues in intelligent systems. Knowledge representation and mechanisms of reasoning. Search and constraint satisfaction. Agents. Application areas of AI and current topics.
Effective Dates:
FS15 - US17
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Computer Science Major or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major.
Not open to students with credit in:
CPS 440
Description:
Fundamental issues in intelligent systems. Knowledge representation and mechanisms of reasoning. Search and constraint satisfaction. Agents. Application areas of AI and current topics.
Effective Dates:
FS17 - US21
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Prerequisite:
(CSE 331) and (MTH 314 or ECE 280)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Computer Science Major or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Data Science Major.
Not open to students with credit in:
CPS 440
Description:
Fundamental algorithms and methods in intelligent systems and artificial intelligence.
Effective Dates:
FS21 - US25
CSE 440 Introduction to Artificial Intelligence
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Prerequisite:
(CSE 331) and (MTH 314 or ECE 280 or MTH 317H)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major or in the Computer Science Minor or in the Data Science Major or in the Lyman Briggs Data Science Coordinate Major.
Not open to students with credit in:
CPS 440
Description:
Fundamental algorithms and methods in intelligent systems and artificial intelligence.
Effective Dates:
FS25 - US26
CSE 440 Artificial Intelligence
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Prerequisite:
(CSE 331) and (MTH 314 or ECE 280 or MTH 317H)
Restrictions:
Open to juniors or seniors in the College of Engineering or in the Lyman Briggs Computer Science Coordinate Major or in the Computer Science Minor or in the Lyman Briggs Data Science Coordinate Major or in the Data Science Major.
Not open to students with credit in:
CPS 440
Description:
Advanced algorithms and methods in intelligent systems and artificial intelligence.
Effective Dates:
FS26 - Open