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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 502EXPERT SYSTEMS IN BUSINESS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective Problem for a set of programs that are acting as an expert. Expert systems from data processing, information management is to consider as a transition. Information notation, information gathering, induction, problem solving and uncertainty, neural networks and usage with expert systems
Course Content Information notation, information gathering, induction, problem solving and uncertainty, neural networks and usage with expert systems
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Recognizes basic numbers concepts and principles
2Comprehends basic equation
3Recognizes concepts of equation, Identities and Factorization
4Learns Inequalities method
5Is able to Function Concept and Types of Functions
6Recognizes basic numbers concepts and principles
10Recognizes basic numbers concepts and principles

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06
LO 001535454
LO 002345545
LO 003425544
LO 004554354
LO 005453435
LO 006      
LO 010      
Sub Total211922212122
Contribution333333

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)14456
Assignments21530
Mid-terms11212
Final examination12525
Presentation / Seminar Preparation21530
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2011-2012 Spring1İRFAN ERTUĞRUL
Details 2010-2011 Spring1İRFAN ERTUĞRUL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 502 EXPERT SYSTEMS IN BUSINESS 3 + 0 1 Turkish 2011-2012 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. İRFAN ERTUĞRUL iertugrul@pau.edu.tr Course location is not specified. %
Goals Problem for a set of programs that are acting as an expert. Expert systems from data processing, information management is to consider as a transition. Information notation, information gathering, induction, problem solving and uncertainty, neural networks and usage with expert systems
Content Information notation, information gathering, induction, problem solving and uncertainty, neural networks and usage with expert systems
Topics
WeeksTopics
1 Expert systems, knowledge representation
2 Expert systems, knowledge representation
3 Expert systems, knowledge representation
4 expert systems, inference
5 expert systems, inference
6 expert systems, inference
7 Expert needs to comprise the basic elements
8 Expert needs to comprise the basic elements
9 The use of expert systems, artificial neural networks
10 The use of expert systems, artificial neural networks
11 Expert practical work needs to comprise
12 Expert practical work needs to comprise
13 Expert practical work needs to comprise
14 Expert practical work needs to comprise
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam30Midterm Exam
Project20Project
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes