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CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceF2B2013Fort BlissN/ABL3Staff7:40 - 10:10 PM
--T-R--
1/25/ 0
Intro to Artificial IntelligenceS2T2014Online Courses (Undergraduate)N/ADL3StaffTBA
TBA
1/25/ 0
Intro to Artificial IntelligenceS1T2014Online Courses (Undergraduate)N/ADL3StaffTBA
TBA
0/25/ 0
Intro to Artificial IntelligenceU1T2014Online Courses (Undergraduate)N/ADL3StaffTBA
TBA
0/25/ 0
Intro to Artificial IntelligenceF2T2013Online Courses (Undergraduate)N/ADL3StaffTBA
TBA
1/25/ 0
Intro to Artificial IntelligenceF1T2013Online Courses (Undergraduate)N/ADL3StaffTBA
TBA
2/25/ 0


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2012-2013)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceF1DD2012DSCCN/ADC3Smith, Doris F.5:00 - 11:00 PM
-----F-
6/30/ 0View
Intro to Artificial IntelligenceF2B2012Fort Bliss616-9BL3Spears, Angelo5:00 - 7:30 PM
--T-R--
9/25/ 0View
Intro to Artificial IntelligenceS1T2013Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
14/25/ 0View
Intro to Artificial IntelligenceS2T2013Online Courses (Undergraduate)N/ADL3Masullo, Miriam J.TBA
TBA
10/25/ 0View
Intro to Artificial IntelligenceU1T2013Online Courses (Undergraduate)N/ADL3Masullo, Miriam J.TBA
TBA
7/25/ 0View
Intro to Artificial IntelligenceF2T2012Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
8/25/ 0View
Intro to Artificial IntelligenceF1T2012Online Courses (Undergraduate)N/ADL3Masullo, Miriam J.TBA
TBA
16/25/ 0View


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2011-2012)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceF2T2011Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
16/25/ 0View
Intro to Artificial IntelligenceF1T2011Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
6/25/ 0View
Intro to Artificial IntelligenceU1T2012Online Courses (Undergraduate)N/ADL3Masullo, Miriam J.TBA
TBA
4/25/ 0View
Intro to Artificial IntelligenceS1T2012Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
7/25/ 0View
Intro to Artificial IntelligenceS2T2012Online Courses (Undergraduate)N/ADL3Masullo, Miriam J.TBA
TBA
9/15/ 0View


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp,and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2010-2011)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceF1AA2010Lackland AFBN/ALC3Edmond, Laurence B.7:45 - 1:10 PM
------S
5/30/ 0View
Intro to Artificial IntelligenceF1T2010Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
8/25/ 0
Intro to Artificial IntelligenceS1T2011Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
9/25/ 0View
Intro to Artificial IntelligenceU1T2011Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
6/25/ 0View
Intro to Artificial IntelligenceS2T2011Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
6/25/ 0View
Intro to Artificial IntelligenceF2T2010Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
17/25/ 0View
Intro to Artificial IntelligenceU1HH2011Wright-Patterson AFBN/APA3Smith, Doris F.5:30 - 10:30 PM
-----F-
11/13/ 0View


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp,and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2009-2010)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceF2DD2009DSCCN/ADC3Smith, Doris F.8:00 - 2:00 PM
-----FS
7/30/ 0
Intro to Artificial IntelligenceF2FF2009Fairchild AFBN/AFAH3Christopherson, Leo B.5:00 - 10:00 PM
-M-----
5/30/ 0View
Intro to Artificial IntelligenceF1T2009Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
18/25/ 0View
Intro to Artificial IntelligenceS1T2010Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
14/25/ 0View
Intro to Artificial IntelligenceF2T2009Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
16/25/ 0View
Intro to Artificial IntelligenceU1T2010Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
14/25/ 0View
Intro to Artificial IntelligenceS2T2010Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
12/25/ 0View


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp,and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2008-2009)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceS1B2009Fort BlissN/ABL3Sayles, Kenneth W.1:10 - 6:10 PM
------S
5/40/ 0View
Intro to Artificial IntelligenceS1T2009Online Courses (Undergraduate)N/ADL3Burns, James D.TBA
TBA
15/25/ 0View
Intro to Artificial IntelligenceS2T2009Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
13/25/ 0View
Intro to Artificial IntelligenceF1T2008Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
17/25/ 0View
Intro to Artificial IntelligenceF2T2008Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
19/25/ 0
Intro to Artificial IntelligenceU1T2009Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
14/25/ 0View


CS305 - Intro to Artificial Intelligence

Course Description: CS305 Introduction to Artificial Intelligence: The student will learn the terminology and methods used in a variety of artificial intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp,and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2007-2008)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Intro to Artificial IntelligenceS1B2008Fort BlissN/ABL3Sayles, Kenneth W.1:10 - 6:10 PM
------S
3/36/ 0View
Intro to Artificial IntelligenceF1B2007Fort BlissN/ABL3Sayles, Kenneth W.1:10 - 6:10 PM
------S
7/36/ 0View
Intro to Artificial IntelligenceF1T2007Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
6/25/ 0View
Intro to Artificial IntelligenceF2T2007Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
11/25/ 0View
Intro to Artificial IntelligenceU1T2008Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
11/25/ 0View
Intro to Artificial IntelligenceS1T2008Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
18/25/ 0View
Intro to Artificial IntelligenceS2T2008Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
11/25/ 0View


CS305 - Introduction to Artificial Intelligence

Course Description: The student will learn the terminology and methods used in a variety of artificial-intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. PREREQUISITE: CS 352. 3:0:3 (From catalog 2006-2007)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Introduction to Artificial IntelligenceF1A2006AustinN/ABE3Edmond, Laurence B.5:10 - 7:50 PM
--T-R--
2/35/ 0View
Introduction to Artificial IntelligenceS1E2007Camp Pendleton MCBN/APE3StaffTBA

0/35/ 0
Introduction to Artificial IntelligenceS2B2007Fort BlissN/ABL3Sayles, Kenneth W.1:10 - 6:10 PM
------S
4/36/ 0View
Introduction to Artificial IntelligenceF2B2006Fort BlissN/ABL3Sayles, Kenneth W.1:10 - 6:10 PM
------S
4/36/ 0View
Introduction to Artificial IntelligenceS2T2007Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
13/25/ 0View
Introduction to Artificial IntelligenceS1T2007Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
22/25/ 0View
Introduction to Artificial IntelligenceU1T2007Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
18/25/ 0View
Introduction to Artificial IntelligenceU1T2007Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
18/25/ 0View
Introduction to Artificial IntelligenceF2T2006Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
11/25/ 0View
Introduction to Artificial IntelligenceF1T2006Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
14/25/ 0View
Introduction to Artificial IntelligenceF2F2006Quantico3088QU3Harrison, Harry Clifford5:30 - 10:30 PM
---W---
5/10/ 0


CS305 - Introduction to Artificial Intelligence

Course Description: The student will learn the terminology and methods used in a variety of artificial-intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3 (From catalog 2005-2006)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Introduction to Artificial IntelligenceF1DD2005DSCCN/ADC3Cohen, Kenneth B.5:00 - 10:45 PM
--T----
2/35/ 0View
Introduction to Artificial IntelligenceF2B2005Fort BlissN/ABL3Heidt, Mary Lynn5:00 - 7:30 PM
-M-W---
0/ 0/ 0View
Introduction to Artificial IntelligenceS1B2006Fort BlissN/ABL3Sayles, Kenneth W.7:40 - 10:10 PM
-M-W---
19/32/ 0View
Introduction to Artificial IntelligenceU1B2006Fort BlissN/ABL3Sayles, Kenneth W.5:00 - 10:00 PM
-----F-
6/32/ 0View
Introduction to Artificial IntelligenceF2F2005Fort MyerEDCTMY3Harrison, Harry Clifford12:05 - 12:10 PM
-M-----
8/10/ 0View
Introduction to Artificial IntelligenceF1U2005Luke AFBN/ALU3Polson, John T.4:50 - 7:30 PM
--T-R--
8/20/ 0View
Introduction to Artificial IntelligenceS2T2006Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
11/25/ 0View
Introduction to Artificial IntelligenceU1T2006Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
9/25/ 0View
Introduction to Artificial IntelligenceS1T2006Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
8/25/ 0
Introduction to Artificial IntelligenceF1T2005Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
12/25/ 0View
Introduction to Artificial IntelligenceF2T2005Online Courses (Undergraduate)N/ADL3Haynie, Glyn E.TBA
TBA
13/25/ 0View
Introduction to Artificial IntelligenceU1W2006Tinker AFBN/ATI3Heinz, Paul A.7:30 - 10:20 PM
-M-W---
3/35/ 0View


CS305 - Introduction to Artificial Intelligence

Course Description: The student will learn the terminology and methods used in a variety of artificial intelligence areas. Course topics may include (but are not limited to): expert systems, neural networks, vision case based reasoning. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Pre-requisite: CS352. 3:0:3 (From catalog 2004-2005)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Introduction to Artificial IntelligenceS2A2005AustinN/ABE3Haynie, Glyn E.5:20 - 7:50 PM
--T-R--
1/35/ 0View
Introduction to Artificial IntelligenceS1E2005Camp Pendleton MCBN/APE3Reece, Jordon4:45 - 7:15 PM
--T-R--
7/30/ 0View
Introduction to Artificial IntelligenceF2DD2004DSCCN/ADC3Smith, Doris F.5:00 - 10:30 PM
-----F-
3/35/ 0View
Introduction to Artificial IntelligenceS2B2005Fort BlissN/ABL3Heidt, Mary Lynn5:00 - 7:30 PM
-M-W---
5/24/ 0View
Introduction to Artificial IntelligenceF1AA2004Lackland AFBN/ALC3Turney, James5:00 - 7:30 PM
--T-R--
7/35/ 0
Introduction to Artificial IntelligenceF2T2004Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
20/25/ 0
Introduction to Artificial IntelligenceU1T2005Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
9/25/ 0
Introduction to Artificial IntelligenceS2T2005Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
15/25/ 0
Introduction to Artificial IntelligenceS1T2005Online Courses (Undergraduate)N/ADL3Walker, Regina GailTBA
TBA
22/25/ 0
Introduction to Artificial IntelligenceF1T2004Online Courses (Undergraduate)N/ADL3Phillips, BennyTBA
TBA
13/25/ 0

Note:

Notes:

  • Summer 2013 and Fall 2013 Course Schedule for PDCC, Metro and Online (printable PDF) and Please use the class schedule at http://www.park.edu/course for the most recent class listing.
  • This class data was last updated on 5/23/2013 7:14:17 PM. Please check with your Campus Center for the most current updates.
  • Building abbreviations for Parkville Classrooms
    • AL = Alumni Hall
    • CERLAB = Ceramics Lab
    • CH = Chapel
    • CO = Copley
    • CQ = Copley Quad
    • HERR = Herr House
    • MA = Mabee Underground
    • MC = Mackay
    • SC = Science Hall
    • WOOD = Woodard Conference Center
  • The course listing is subject to change.
  • Status lists if the class is canceled or the number of people enrolled / maximum number of people / wait list for the class
  • If nothing appears, there is no class meeting the current qualifications (Ex. No Chemistry Classes being offered During Spring 1 at the Kansas City Accelerated Campus)
  • The following are abbreviations:
    • # - Permission of the Instructor Required
    • $ - Additional Course Fee
    • + - Pre-Requisite
    • LE - Liberal Education
  • HOS - This section is for Study Abroad Only.
  • Park University Bookstore

---------------------------------

University Resources> lists if the class is canceled or the number of people enrolled / maximum number of people / wait list for the class
  • If nothing appears, there is no class meeting the current qualifications (Ex. No Chemistry Classes being offered During Spring 1 at the Kansas City Accelerated Campus)
  • The following are abbreviations:
    • # - Permission of the Instructor Required
    • $ - Additional Course Fee
    • + - Pre-Requisite
    • LE - Liberal Education
  • HOS - This section is for Study Abroad Only.
  • Park University Bookstore

    • ---------------------------------

    University Resources