This is a second course in Artificial intelligence that covers selected topics in this area such as: reasoning about action and planning, uncertain and fuzzy reasoning, knowledge representation, automated reasoning, non-monotonic reasoning and answer set programming, ontologies and description logic, local search methods, Markov decision processes, autonomous agents and multi-agent systems, machine learning, reasoning about beliefs and goals, and expert systems. Prerequisites: cumulative GPA of 4.50 or better over all major EECS courses (without second digit "5"); LE/EECS 2030 3.00 or LE/EECS 1030 3.00; LE/EECS 3401 3.00.
Tips: you can drag and drop the boxes to clone them to different sections or groups within a prerequisite equation.
Prerequisite Equation
Edit the prerequisite equation to this course:
note: adding data in this section will override data in the Prerequisite List.
+ add prereq equation
Prerequisite List(Overridden by Prerequisite Equation)
Edit the list of prerequisites to this course:
note: data in this section will be override by the Prerequisite Equation if it exists.
+ add new course
Exclusion List
Edit the list of course cerdit exclusions to this course:
+ add new course
Your name (optional):
Any additional comment (optional):
Thank you for your edit suggestion!
Our staff will review and approve it soon.
You can close this page now.
There might have been an error with the server or your input.
Please check your entry and/or try again later.