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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IND 3930 KNOWLEDGE BASED SYSTEMS ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR LATIF SALUM

Offered to

Industrial Engineering

Course Objective

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

Learning Outcomes of the Course Unit

1   Be able to recognize what problems are appropriate for Knowledge Based Systems 2   Select an appropriate knowledge representation and reasoning method 3   Compare and contrast various knowledge representation systems 4   Describe basic steps of Knowledge Based Systems development 5   Demonstrate modelling of natural language with propositional and predicate logic

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 Knowledge Engineering and Knowledge Representation 3 Knowledge Representation 4 Knowledge Representation 5 Forward and Backward chaining 6 Development of Knowledge Based Systems 7 Midterm 8 Project Presentations 9 Project Presentations 10 Project Presentations 11 Project Presentations 12 Project Presentations 13 Project Presentations 14 Project Presentations

Recomended or Required Reading

Expert Systems: design and development, Durkin, J

Planned Learning Activities and Teaching Methods

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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

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 6 3 18 Case study 7 3 21 Preparations before/after weekly lectures 6 1 6 Preparation for midterm exam 1 7 7 Preparation for final exam 1 9 9 Preparing assignments 7 3 21 Preparing presentations 7 2 14 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 100

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 PO.12 LO.1 5 5 LO.2 5 4 LO.3 4 4 LO.4 3 4 LO.5 4 4