Course Details

DISCRETE MATHEMATICS

IE402

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
1IE402DISCRETE MATHEMATICS3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program INDUSTRIAL ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course is designed to make students gain abilities of mathematical reasoning,
combinatorial analysis, algorithmic thinking and working with discrete structures. Being able to use mathematical symbols and language correctly and being able to follow mathematical arguments properly are also the expected skills that students should develop by taking this course.
Course Content The course will cover the fundamental mathematical tools used in computer science. These are logic (propositional and predicate), methods of mathematical proofs, sets, functions, algorithms, mathematical induction and counting techniques, pigeonhole principle, selected topics from Elementary Number Theory like modular arithmetic, relations, recurrences, Boolean algebra, Graphs and trees.
Course Methods and Techniques The course will be held in-class. CANVAS will be used for all announcements, course materials. You are responsible to follow the CANVAS regularly. This is also a student-driven course. It is your responsibility to participate actively in class discussions. Evaluation of class participation will be based on your ability to raise and answer important issues, contribute ideas or insights, build upon the ideas of others, ask questions to presenters, etc. By actively participating in the class discussions, you can sharpen your insights. Both the quality and frequency of your participation will count towards your active participation grade. Also, you will not get any class participation points for just being present in class. Class attendance is a necessary but not sufficient condition for scoring highly on class participation.
Prerequisites and co-requisities None
Course Coordinator Asist Prof.Dr. Rukiye Kaya https://avesis.agu.edu.tr/rukiye.kaya rukiye.kaya@agu.edu.tr
Name of Lecturers Asist Prof.Dr. RUKİYE KAYA
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Chopra, Sunil and Peter Meindl. Supply Chain Management. 6th ed. Upper Saddle River, NJ: Prentice Hall, 2016.
Kirkwood CW. Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets, Duxbury Press, Belmont, CA, 1997.
Ghiani, Gianpaolo, Gilbert Laporte, and Roberto Mosmanno. Introduction to Logistics Systems Planning and Control. John Wiley and Sons, England, 2004. ISBN:0470849169.
CANVAS

Course Category
Engineering %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı 1 % 35
Quiz/Küçük Sınav 1 % 20
Ödev 1 % 15
Final examination 1 % 30
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 1 5 5
Yazılı Sınav 1 30 30
Grup Sunumu 1 5 5
Ev Ödevi 1 3 3
Sınıf İçi Aktivitesi 5 1 5
Sunum için Hazırlık 1 3 3
Sunum 1 1 1
Kısa Sınav 2 3 6
Ders dışı çalışma 14 2 28
Takım/Grup Çalışması 3 1 3
Öğretici Sunum/Açıklama 5 1 5
Yüz Yüze Ders 14 3 42
Final Sınavı 1 20 20
Total Work Load   Number of ECTS Credits 5 156

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 To identify the components of supply chain and their interactions.
2 To develop solutions for supply chain management and design problems.
3 To use information technology and electronic commerce in supply chain management.
4 To design logistics systems and develop integrated supply chain strategy.
5 To recapture the importance of systems thinking and global optimization.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to the concepts and terminology of logistics and supply chain management. Canvas
2 Examination of components of logistics and supply chain systems. Canvas
3 Examination of components of logistics and supply chain systems. Canvas
4 Analysis of interactions and trade-offs among these components. Canvas
5 Logistics network configuration. CANVAS
6 Logistics network configuration. CANVAS
7 Midterm canvas
8 Active Learning Week CANVAS
9 Risk pooling and multi-echelon inventory systems. Canvas
10 Value of information in supply chains. Canvas
11 Coordination of the supply chain using contracts and other mechanisms canvas
12 Coordination of the supply chain using contracts and other mechanisms Canvas
13 Distribution strategies for the supply chain and product design for supply chain efficiency CANVAS
14 Distribution strategies for the supply chain and product design for supply chain efficiency CANVAS

Recommended Optional Programme Components
Veri yok

Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 2 4 3 2 1 3 1
C2 4 4 5 5 5 3 3 1 3 2
C3 4 4 4 4 5 3 3 1 3 2
C4 4 4 4 4 4 3 3 1 3 2
C5 4 4 5 5 4 3 3 1 3 2

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72466&lang=en
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