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  • COURSES
    • COURSE PLANS
    • COURSE SCHEDULES
    • COURSE CATALOGUES
  • FORMS & PETITIONS
    • FORMS
    • PETITIONS
  • INTERNSHIP
    • INTERNSHIP INFORMATION
    • GENERAL INTERNSHIP PRINCIPLES
    • INTERNSHIP PROCESS
    • INTERNSHIP DOCUMENTS
    • ADDITIONAL INTERNSHIP PRINCIPLES
    • PROGRAM INTERNSHIP COMMISSION COORDINATORS
  • TRANSFER
    • ACADEMIC TRANSFER
    • DUAL PROGRAMS
    • EQUIVALENCE DOCUMENT
  • TUITION
    • FEES
    • SCHOLARSHIPS
  • REGULATIONS
    • RULES AND REGULATIONS
    • REGISTRATION PROCEDURES AND PRINCIPLES
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IND 201E

DERS PROGRAMI FORMU

COURSE SYLLABUS FORM

Dersin Adı Course Name
Python ile Endüstri Mühendisliği Uygulamaları Industrial Engineering Applications in Python
Kodu
(Code)
Yarıyılı
(Semester)
Kredi
(Credit)
AKTS Kredisi
(ECTS Credit)
Ders Uygulaması, Saat/Hafta
(Course Implementation, Hours/Week)
Ders
(Theoretical)
Uygulama
(Tutorial)
Laboratuvar
(Laboratory)
IND 201E 4 2 5,5 1 0 2
Bölüm/Program
(Department/Program)
Endüstri Mühendisliği
(Industrial Engineering)
Dersin Türü
(Course Type)
Zorunlu
(Compulsory)
Dersin Dili
(Course Language)
İngilizce
(English)
Dersin Önkoşulları
(Course Prerequisites)
BIL 110E MIN DD veya/or BIL 100E MIN DD
Dersin Mesleki Bileşene Katkısı, %
(Course Category by Content, %)
Temel Bilim
(Basic Sciences)
Temel Mühendislik
(Engineering Science)
Mühendislik Tasarım
(Engineering Design)
İnsan ve Toplum Bilim
(General Education)
- - - -
Dersin Tanımı
(Course Description)
Endüstri Mühendisliğiiçin gerekli olan programlama ve algoritma geliştirme, Endüstri Mühendisliğikonularında kullanılan bazı algoritmaların bir programlanması, Doğrusal Eniyileme, Doğrusal Olmayan Eniyileme, Doğrusal Regresyon, Sezgisel Optimizasyon, Sıralama, Çizelgeleme, Çok Kriterli Karar Verme.
Programming and algorithm development necessary for Industrial Engineers, Implementing some of the algorithms used in Industrial Engineering Subjects, Linear Optimization, Non-Linear Optimization, Linear Regression, Heuristic Optimization, Scheduling, Multi-Criteria Decision Making.
Dersin Amacı
(Course Objectives)
  1. Algoritma kurma yetisini geliştirme
  2. Algoritmaları programlama yetisini geliştirme
  3. Endüstri Mühendisliğiproblemlerini bir programlama dili kullanarak çözme
  1. To improve ability to algorithm development
  2. To improve ability to algorithm implementation
  3. To provide the ability to solve Industrial Engineering problems using a programming language
Dersin Öğrenme Çıktıları
(Course Learning Outcomes)
  1. Bu dersi alan öğrenciler:
  2. Endüstri Mühendisliğiproblemleri hakkında bilgi sahibi olur
  3. Endüstri Mühendisliğinde kullanılan algoritmalar hakkında bilgi sahibi olur
  4. Endüstri Mühendisliğiproblemlerini çözmek için algoritma geliştirebilir
  5. Endüstri Mühendisliğiproblemlerini bir programlama dili kullanarak çözer
  1. Students who successfully pass this course will be able to:
  2. Know concepts of Industrial Engineering problems
  3. Learn algorithms used in Industrial Engineering
  4. Learn to develop algorithms to solve Industrial Engineering Problems
  5. Learn to solve Industrial Engineering Problems using a programming language
  • Industrial Engineering
  • Industrial Engineering
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  • Namık Kemal Mah.
  • Fazıl Polat Paşa Bulvarı
  • Famagusta
  • Turkish Republic of Northern Cyprus
  • 99450
  • (+90) 392 630 5000
  • kktcogrenciisleri@itu.edu.tr
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