1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. MACHINE EDUCATION DEPARTMENT
  4. 1501 Mechanical Education
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAE 501EXPERT SYSTEMS AND DECISION MAKING3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of the course is to enable students to develop an Artificial Intelligence area using problem solving, knowledge, reasoning, representations for planning and problem analysis techniques. .
Course Content Introduction to Artificial Intelligence. Artificial Intelligence Tools. Expert systems. Background and Expert systems Problems. Problem Solving, Searching and Heuristic Programming. Knowledge and Reasoning. Planning and Representations for Planning. Uncertain Knowledge and Reasoning under Uncertainty. Representation information. Methods and techniques. Problem Analysis Techniques. Software’s. Applications.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Will be able to know the Artificial Intelligence
2Will be able to identify Expert systems.
3Will be able to know properties of Artificial Intelligence

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 0014434        
LO 00244  44 4    
LO 003  4  5  5555
Sub Total887449 45555
Contribution332113012222

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms12020
Final examination16363
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2010-2011 Fall1MUSTAFA BOZDEMİR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAE 501 EXPERT SYSTEMS AND DECISION MAKING 3 + 0 1 Turkish 2010-2011 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Course location is not specified. %
Goals The aim of the course is to enable students to develop an Artificial Intelligence area using problem solving, knowledge, reasoning, representations for planning and problem analysis techniques. .
Content Introduction to Artificial Intelligence. Artificial Intelligence Tools. Expert systems. Background and Expert systems Problems. Problem Solving, Searching and Heuristic Programming. Knowledge and Reasoning. Planning and Representations for Planning. Uncertain Knowledge and Reasoning under Uncertainty. Representation information. Methods and techniques. Problem Analysis Techniques. Software’s. Applications.
Topics
WeeksTopics
1 Introduction to Artificial Intelligence.
2 Artificial Intelligence Tools
3 Artificial Intelligence Tools
4 Expert systems.
5 Background and Expert systems Problems
6 Background and Expert systems Problems
7 Problem Solving, Searching and Heuristic Programming.
8 Uncertain Knowledge and Reasoning under Uncertainty.
9 Representation information. Methods and techniques.
10 Representation information. Methods and techniques.
11 Problem Analysis Techniques
12 Software’s. Applications.
13 Software’s. Applications.
14 Software’s. Applications.
Materials
Materials are not specified.
Resources
Course Assessment
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes