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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS END 2410 INTRODUCTION TO SYSTEMS AND MATHEMATICAL MODELING COMPULSORY 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 the course is to teach how to model and analyze industrial engineering systems by making use of discrete mathematical tools

Learning Outcomes of the Course Unit

1   Describe the basic tools of Discrete Mathematics 2   Model and analyze System/Industrial Engineering applications via these basic tools 3   Describe basic steps of modelling and analysis 4   Demonstrate modelling of natural language with propositional and predicate logic 5   Evaluate the cost of analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Propositional Logic 3 Propositional Logic 4 Propositional Logic and Proofs 5 Predicate Logic 6 Predicate Logic 7 Predicate Logic and Proofs 8 Sets, relations and functions 9 Sets, relations and functions 10 Sets, relations and functions 11 Graphs 12 Graphs 13 Graphs 14 Exam

Recomended or Required Reading

Discrete Mathematics and Its Applications, Rosen, KH

Planned Learning Activities and Teaching Methods

Course will be taught in the class

Assessment Methods

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

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

latif.salum@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for final exam 1 24 24 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 7 7 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 4 5 LO.2 4 5 LO.3 4 5 LO.4 4 5 LO.5 4 5