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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS END 3959 KNOWLEDGE - BASED SYSTEMS ELECTIVE 3 0 0 5

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR KEMAL SUBULAN

Offered to

Industrial Engineering

Course Objective

The aim of this course is to apply Knowledge Based Systems to Industrial Engineering problems.

Learning Outcomes of the Course Unit

1   Being able to show which problems are suitable for Knowledge Based Systems 2   Ability to determine the selection of the appropriate information modeling and inference method 3   Ability to compare different information modeling techniques 4   Ability to define the main steps of developing Knowledge Based systems 5   Ability to demonstrate modeling of natural language with logic tools

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to artificial intelligence 2 Information Engineering and Information Modeling 3 Information Engineering and Information Modeling 4 Information Modeling 5 Information Modeling 6 Information Modeling 7 Forward and Backward Inference 8 Forward and Backward Inference 9 Forward and Backward Inference 10 Forward and Backward Inference 11 Developing Knowledge Based Systems 12 Developing Knowledge Based Systems 13 Developing Knowledge Based Systems 14 Developing Knowledge Based Systems

Recomended or Required Reading

Expert Systems: design and development, Durkin, J

Planned Learning Activities and Teaching Methods

Presentations will be given in accordance with the course content.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm (%30) + Assignment (%20) + Final (%50)

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Preparing assignments 1 15 15 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 129

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 2 3 LO.2 2 2 LO.3 2 2 LO.4 2 3 LO.5 2 4