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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DYNAMIC PROGRAMMING ENM 433 7 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi NEVRA AKBİLEK
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Teaching students dynamic programming techniques where possible and providing them advantages of this technique.
Dersin İçeriği
Network problems, Inventory problems, Resource Allocation problems, Knapsack problems, Equipment replacement problems, Wagner Within algorithm, Silver Meal heuristics, Probabilistic dynamic programming, Probabilistic stok problems,Using Excel and WinOSP in Dynamic programming problems
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Introduction 1 - 2 - 3 - A - B -
2 - Network problems 1 - 2 - 4 - A - C -
3 - Shortest path problems 1 - 2 - 15 - A - C -
4 - Inventory problems 1 - 2 - 15 - A - C -
5 - Resource Allocation problems 1 - 2 - 15 - A - C -
6 - Generalized Resource Allocation problems 1 - 2 - 15 - A - C -
7 - Knapsack problems 1 - 2 - 15 - A - C -
8 - Equipment replacement problems 1 - 2 - 15 - A - C -
9 - Network illustrations of special examples 1 - 2 - 15 - A - C -
10 - Wagner Within algorithm 1 - 2 - 15 - A - C -
11 - Silver Meal heuristics 1 - 2 - 3 - 4 - 5 - 6 - 14 - 15 - A - C - D - F -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 15:Problem Solving 3:Discussion 4:Drilland Practice 5:Demonstration 6:Motivations to Show 14:Self Study
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design F:Performance Task B:Oral Exam

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction
2 Network problems
3 Shortest path problems
4 Inventory problems
5 Resource Allocation problems
6 Generalized Resource Allocation problems
7 Knapsack problems
8 Equipment replacement problems
9 Network illustrations of special examples
10 Wagner Within algorithm
11 Silver Meal heuristics
12 Probabilistic dynamic programming
13 Probabilistic stok problems
14 Using Excel and WinOSP in Dynamic programming problems

Kaynaklar

Ders Notu Winston W.L. Operations Research : Applications and Algorithms , Canada, Brooks/Cole
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured responsibilities in profession and ethics X
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 70
KisaSinav 1 5
KisaSinav 2 5
Odev 1 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 5 5
Final examination 1 15 15
Toplam İş Yükü 136
Toplam İş Yükü /25(s) 5.44
Dersin AKTS Kredisi 5.44
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