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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
COMPUTER PROGRAMMING II ENM 209 3 3 + 1 4 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Dr.Öğr.Üyesi MÜMTAZ İPEK
Dersi Verenler Prof.Dr. İSMAİL HAKKI CEDİMOĞLU
Dr.Öğr.Üyesi MÜMTAZ İPEK
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
This course teaches students how to write algorithms for computer software applications in engineering, to process data using arrays, files, classes and pointers, to write programs.
Dersin İçeriği
Main concepts, algorithms, types of algorithms, flow charts, pseudo coding, 3 main programming structures, arrays, file systems, data processing, sort and search algorithms and applications.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Ability to write algorithm 1 - 2 - 4 - 6 - A - C -
2 - Ability to use main data types 1 - A -
3 - Ability to develop structural programs and to use structures 1 - 2 - 4 - 6 - C - A -
4 - Ability to develop modular programs using functions 4 - 6 - 1 - 2 - A - C -
5 - Ability to sort numerical and alphabetical data 1 - 2 - 6 - 4 - A - C -
6 - Ability to write data to files and to get data from files 4 - 6 - 2 - 1 - A - C -
7 - Ability to develop efficient programs using classes and pointers 1 - 2 - 4 - 6 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice 6:Motivations to Show
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Main concepts and algorithms
2 Structural programming and data types
3 Introduction to programming
4 Decision structures
5 Loop structures
6 One dimensional and multi dinemsional arrays
7 Sorting
8 Functions and recursive functions
9 VISA
10 Files
11 Files
12 Classes
13 Classes
14 Pointers

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.
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 X
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
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.
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.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 70
KisaSinav 1 10
Odev 1 10
KisaSinav 2 10
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 2 32
Mid-terms 1 12 12
Quiz 2 10 20
Assignment 1 10 10
Performance Task (Laboratory) 1 12 12
Final examination 1 12 12
Toplam İş Yükü 146
Toplam İş Yükü /25(s) 5.84
Dersin AKTS Kredisi 5.84
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