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CS 305 Intro to Artificial Intelligence
Christopherson, Leo B.


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.

Course

CS 305 Intro to Artificial Intelligence

Semester

F2FF 2009 FAH

Faculty

Christopherson, Leo B.

Title

Adjunct Professor of Computer Science

Degrees/Certificates

BA Mathemetics
M Ed Computer Technology

Daytime Phone

509-465-3179 (home)

E-Mail

Leo.Christopherson@park.edu

park@leochristopherson.com

Web Page

http://www.leochristopherson.com

Semester Dates

Oct 19 - Dec 13, Fall II 2009

Class Days

-M-----

Class Time

5:00 - 7:30 PM (Blended)

Prerequisites

(Talk to Instructor)

Credit Hours

3


Textbook:
Artificial Intelligence : A Modern Approach, 2nd Edition , Russell, Stuart J., Norvig, Peter, Prentis-Hall
ISBN: 0-13-790395-2

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:
Check the online eCompanion for the coures under "Doc Sharing" where additional materials will be posted as needed.

McAfee Memorial Library - Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 800-270-4347.
Career Counseling - The Career Development Center (CDC) provides services for all stages of career development.  The mission of the CDC is to provide the career planning tools to ensure a lifetime of career success.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email helpdesk@park.edu or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information http://www.park.edu/Current/.


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. (Contact Instructor for more details) 3:0:3

Educational Philosophy:
My educational philosophy is one of interactiveness based on lectures, readings, quizzes, dialogues, examinations, internet, videos, web sites and writings. I will engage each learner in what is referred to as disputatious learning to encourage the lively exploration of ideas, issues and contradictions.

Learning Outcomes:
  Core Learning Outcomes

  1. Explain the history of artificial intelligence.
  2. Explain and trace various search algorithms.
  3. Solve first-order logic problems.
  4. Explain knowledge representation techniques.
  5. Do one or two of these:
    1. Solve problems involving uncertainty
    2. Explain and trace machine learning techniques including neural network learning
    3. Explain and analyze vision concepts
    4. Explain and analyze robotics concepts.
  6. Write programs that implement artificial intelligence algorithms for some of the learning outcomes items.


Core Assessment:

 

All Park University courses must include a core assessment that measures the relevant Departmental Learning Outcomes.  The purpose of this assessment is to determine if expectations have been met concerning mastery of learning outcomes across all instructional modalities. The core assessment for this course is a final exam which counts for 20% of the grade. Questions on the final exam will be developed to test at least eight of the ten course core objectives.

Link to Class Rubric

Class Assessment:
Examinations, quizzes, book exercises, programming projects

Grading:

Exercises      = 30%
Programming    = 40%
Quizzes        = 10%
Final Test     = 20%

Late Submission of Course Materials:
Talk to the instructor about late submission of assignments or other work.

Classroom Rules of Conduct:

A learning environment based on mutual respect is beneficial to everyone.
Computer Lab rules will be covered during the face-to-face class time.

Course Topic/Dates/Assignments:

Details of what is done and when will be posted on the eCompanion pages for this course.
The class is conducted as a blended class. Approximately 50% face-to-face, Mondays from 5:00 - 7:30 PM, and 50% online away from the classroom.

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life.   Park University 2008-2009 Undergraduate Catalog Page 87

Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. Park University 2009-2010 Undergraduate Catalog Page 92

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
  6. Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.

Park University 2009-2010 Undergraduate Catalog Page 95
Be sure to notify the instructor about any excused absences.

Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .

Additional Information:
Again, this is a blended class: 50% online and 50% face-to-face.



Rubric

CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Synthesis                                                                                                                                                                                                                                                  
Outcomes
2, 7                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates the student ability to creatively apply prior knowledge and skills to produce an original narrative. Synthesis is demonstrated by correctly answering 2 out of 2 questions regarding: (a) future developments in Artificial Intelligence (b) comparison of neural network approach with traditional approach. The artifact demonstrates the student ability to creatively apply prior knowledge and skills to produce an original narrative. Synthesis is demonstrated by correctly answering 1 out of 2 questions regarding: (a) future developments in Artificial Intelligence (b) comparison of neural network approach with traditional approach. The artifact demonstrates the student ability to creatively apply prior knowledge and skills to produce an original narrative. Synthesis is demonstrated by correctly answering 0 out of 2 questions regarding: (a) future developments in Artificial Intelligence (b) comparison of neural network approach with traditional approach. The artifact demonstrates the student ability to creatively apply prior knowledge and skills to produce an original narrative. Synthesis is not demonstrated by answering any regarding: (a) future developments in Artificial Intelligence (b) comparison of neural network approach with traditional approach. 
Analysis                                                                                                                                                                                                                                                   
Outcomes
1, 2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates the student ability to differentiate information in an AI environment. Analysis is demonstrated by correctly answering 2 out of 2 questions regarding: (a) describe state-space search (b) compare the methods to search state space. The artifact demonstrates the student ability to differentiate information in an AI environment Analysis is demonstrated by correctly answering 1 out of 2 questions regarding: (a) describe state-space search (b) compare the methods to search space The artifact demonstrates the student ability to differentiate information in an AI environment. Analysis is demonstrated by correctly answering 0 out of 2 questions regarding: (a) describe state-space search (b) compare the methods to search space The artifact demonstrates the student ability to differentiate information in an AI environment. Analysis is not demonstrated by not answering any  questions regarding: (a) describe state-space search (b) compare the methods to search space 
Evaluation                                                                                                                                                                                                                                                 
Outcomes
2, 3                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates the student ability to judge relative value of information based on prior knowledge. Evaluation is demonstrated by correctly answering 2 out of 2 questions regarding: (a) compare state space reduction methods (b) compare the performance of these methods using the big O notation. The artifact demonstrates the student ability to judge relative value of information based on prior knowledge. Evaluation is demonstrated by correctly answering 1 out of 2 questions regarding: (a) compare state space reduction methods (b) compare the performance of these methods using the big O notation. The artifact demonstrates the student ability to judge relative value of information based on prior knowledge. Evaluation is demonstrated by correctly answering 0 out of 2 questions regarding: (a) compare state space reduction methods (b) compare the performance of these methods using the big O notation. The artifact demonstrates the student ability to judge relative value of information based on prior knowledge. Evaluation is not demonstrated by correctly answering questions regarding: (a) compare state space reduction methods (b) compare the performance of these methods using the big O notation. 
Terminology                                                                                                                                                                                                                                                
Outcomes
1, 5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates the student ability to proficiently use terminology related to specific course area. Use of terminology is demonstrated by correctly answering 2 out of 2 questions regarding (a) the Agent approach (b) identify the components of a neural network. The artifact demonstrates the student ability to proficiently use terminology related to specific course area. Use of terminology is demonstrated by correctly answering 1 of 2 questions regarding (a) the Agent approach (b) identify the components of a neural network. The artifact demonstrates the student ability to proficiently use terminology related to specific course area. Use of terminology is demonstrated by correctly answering 0 out of 2 questions regarding (a) the Agent approach (b) identify the components of a neural network. The artifact demonstrates the student ability to proficiently use terminology related to specific course area. Use of terminology is not demonstrated by answering any questions regarding (a )the Agent approach (b) identify the components of a neural network. 
Concepts                                                                                                                                                                                                                                                   
Outcomes
4, 7                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates student ability to recognize and articulate concepts relevant to core course topics. Recognition and articulation is demonstrated by correctly answering 2 out of 2 questions regarding: (a) the advantages of neural networks. (b)  disadvantages of neural networks. The artifact demonstrates student ability to recognize and articulate concepts relevant to core course topics. Recognition and articulation is demonstrated by correctly answering 1 out of 2 questions regarding: (a) advantages of neural networks. (b) disadvantages of neural networks. The artifact demonstrates student ability to recognize and articulate concepts relevant to core course topics. Recognition and articulation is demonstrated by correctly answering 0 out of 2 questions regarding: (a) advantages of neural networks. (b) disadvantages of neural networks. The artifact demonstrates student ability to recognize and articulate concepts relevant to core course topics. Recognition and articulation is not demonstrated by correctly answering any questions regarding: (a) advantages of neural networks. (b)  disadvantages of neural networks. 
Application                                                                                                                                                                                                                                                
Outcomes
9                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    
The artifact demonstrates student ability to use principles as they relate to core course topics. Application is demonstrated by correctly answering 2 out of 2 questions regarding: (a) developing an expert system. (b) testing the expert systems in a real-world environment. The artifact demonstrates student ability to use principles as they relate to core course topics. Application is demonstrated by correctly answering 1 out of 2 questions regarding: (a) developing an expert system. (b) testing the expert systems in a real-world environment. The artifact demonstrates student ability to use principles as they relate to core course topics. Application is demonstrated by correctly answering 0 out of 2 questions regarding: (a) developing an expert system. (b) testing the expert systems in a real-world environment. The artifact demonstrates student ability to use principles as they relate to core course topics. Application is not demonstrated by answering  questions regarding: (a) developing an expert system. (b) testing the expert systems in a real-world environment. 
Whole Artifact                                                                                                                                                                                                                                             
Outcomes
6                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    
The artifact demonstrates student ability to use accepted methods and standards in developing an expert system. Ability is demonstrated by correctly answering 2 out of 2 questions regarding: (a) develop a classical expert system (b) develop a fuzzy logic expert system. The artifact demonstrates student ability to use accepted methods and standards in developing an expert system. Ability is demonstrated by correctly answering 1 out of 2 questions regarding: (a) develop a classical expert system (b) develop a fuzzy logic expert system. The artifact demonstrates student ability to use accepted methods and standards in developing an expert sysyem. Ability is demonstrated by correctly answering 0 out of 2 questions regarding: (a) develop a classical expert system (b) develop a fuzzy logic expert system. The artifact demonstrates student ability to use accepted methods and standards in developing an expert system. Ability is not demonstrated by answering any questions regarding: (a) develop a classical expert system (b) develop a fuzzy logic expert system. 
Component                                                                                                                                                                                                                                                  
Outcomes
6, 7                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 
The artifact demonstrates student ability to use accepted methods and standards in performing specific software analysis and design activities. Ability is demonstrated by correctly answering 2 out of 2 questions regarding: (a) Comparison of LISP and Prolog (b) Comparison of LISP and Java. The artifact demonstrates student ability to use accepted methods and standards in performing specific software analysis and design activities. Ability is demonstrated by correctly answering 1 out of 2 questions regarding: (a) Comparison of LISP and Prolog (b) Comparison of LISP and Java. The artifact demonstrates student ability to use accepted methods and standards in performing specific software analysis and design activities. Ability is demonstrated by correctly answering 0 out of 2 questions regarding: (a) Comparison of LISP and Prolog (b) Comparison of LISP and Java. The artifact demonstrates student ability to use accepted methods and standards in performing specific software analysis and design activities. Ability is not demonstrated answering any questions regarding: (a) Comparison of LISP and Prolog (b) Comparison of LISP and Java. 

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Last Updated:9/30/2009 10:14:47 AM