1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMICS DEPARTMENT
  4. 2204 ECONOMICS
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
ISY 502EXPERT SYSTEMS IN BUSINESS3 + 01st Semester6

COURSE DESCRIPTION
Course Level Master's 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 05
LO 006     
LO 010     
Sub Total     
Contribution00000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13565
Hours for off-the-classroom study (Pre-study, practice)13226
Mid-terms13452
Final examination11313
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes