Yazdır

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
INTELLIGENT MAUFACTURING SYSTEMS ENM 406 8 3 + 0 3 5
Ön Koşul Dersleri Artificial İntelligence and Expert Systems
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Doç.Dr. ESRA TEKEZ
Dersi Verenler
Dersin Yardımcıları Res.Asst. Aysegul Aydin
Dersin Kategorisi
Dersin Amacı
Introducing and examining of intelligent manufacturing systems (IMS) which is becoming an area of growing interest in todays competitive and customer-oriented market.
Dersin İçeriği
Examining of intelligent manufacturing systems (IMS), characteristics of IMS, application samples of intelligent systems in manufacturing
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Student can define intelligent manufacturing systems 1 - 2 - A - B -
2 - Student can sort intelligent manufacturing systems 1 - 2 - A - B -
3 - Student can built model of intelligent manufacturing system 1 - 2 - 14 - A - C -
4 - Student can develop an intelligent manufacturing system 1 - 2 - 14 - A - C -
5 - Student can evaluate results of developed intelligent manufacturing system 1 - 12 - A -
6 - Student can examine what goal intelligence use in manufacturing systems 1 - 12 - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 14:Self Study 12:Case Study
Ölçme Yöntemleri: A:Testing B:Oral Exam C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Evaluation of traditional manufacturing systems
2 The need to IMS and emergence of IMS
3 Examining of IMS
4 Intelligent Design
5 Intelligent Process Planning
6 Intelligent Process Planning
7 Intelligent Production Planning
8 Intelligent Production Planning / Quiz 1
9 Intelligent Quality Systems
10 Intelligent Quality Systems
11 Intelligent Quality Systems
12 Automatic Material Handling Systems
13 Automatic Material Handling Systems / Quiz 2
14 Agent-based Approaches in IMS

Kaynaklar

Ders Notu
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 with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
8 Engineering graduates with well-structured responsibilities in profession and ethics X
9 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
10 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
11 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 12
Odev 1 15
KisaSinav 2 13
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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 12 12
Assignment 1 10 10
Performance Task (Laboratory) 1 14 14
Toplam İş Yükü 116
Toplam İş Yükü /25(s) 4.64
Dersin AKTS Kredisi 4.64
; ;