BDA 507 Introduction to Computer Programming (Python)MEF ÜniversitesiAkademik Programlar Büyük Veri Analitiği (İngilizce) (Tezsiz)Öğrenciler için Genel BilgiDiploma EkiErasmus Beyanı
Büyük Veri Analitiği (İngilizce) (Tezsiz)
Yüksek Lisans Programın Süresi: 1.5 Kredi Sayısı: 90 TYYÇ: 7. Düzey QF-EHEA: 2. Düzey EQF: 7. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Gradutate School of Science and Engineering
Course Code BDA 507
Course Title in English Introduction to Computer Programming (Python)
Course Title in Turkish Büyük Veri için Programlamaya Giriş (Python)
Language of Instruction EN
Type of Course Exercise,Flipped Classroom,Lecture
Level of Course Intermediate
Semester Güz
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 174 hours per semester
Number of Credits 7.5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Graduate Students
Overall Educational Objective Students should be able to understand fundamentals of computer programming and learn how to design and implement computer algorithms to solve basic engineering problems in Python programming language
Course Description Fundamentals of computer programming. Algorithm development using iterative refinement, structural design, I/O processes, sequential processes, decision making processes, recursive processes, functions, arrays, files, formatted I/Os, programs in Python
Course Description in Turkish Bilgisayar programlamanin temelleri. Yapisal tasarim, iterative programlama, girdi/cikti yontemleri, karar yapilari, fonksiyon, katar, dosya kavramlarini kullanarak algoritma tasarimi ve gelistirilmesi. Programlama kavramlarinin Python dili kullanilarak ogretilmesi.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Bilgisayar programlamanın temellerini anlayın.(sıra, dallanma, yineleme)
2) Temel bilgisayar algoritmalarını tasarlama
3) Mühendislik problemlerini çözmek için bilgisayar programları oluşturma (Python'da Uygulama)
4) C programlama dilinin temellerini anlamak (Python'un işlevleri, dizileri, sözdizimi)
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) S
2) H
3) H
4) N
5) N
6) N
7) N
8) N
9) N
10) N
Prepared by and Date ,
Course Coordinator TUNA ÇAKAR
Semester Güz
Name of Instructor Dr. Öğr. Üyesi TUNA ÇAKAR

Course Contents

Hafta Konu
1) Programlamaya giriş
2) Değişkenler, dizeler, sayılar, ifadeler
3) Sıra, Koşullar, döngüler
4) Sıra, Koşullar, döngüler
5) Algoritma Sözde Kodu
6) Listeleme ve listeleme işlemleri
7) Veri yapıları
8) Veri yapıları
9) Veri yapıları
10) Özet fonksiyonu
11) Yinelemeli prosedürler
12) Python ile açık kaynak ve büyük veri
13) Python ile açık kaynak ve büyük veri
14) Öğrenci Sunumları
15) Proje/sunum Dönemi
16) Proje/Sunum Dönemi
Required/Recommended ReadingsPython Programming (open source) wikibooks, https://en.wikibooks.org/wiki/Python_Programming
Teaching MethodsLecturing in the class. Students will work individually for project
Homework and Projects3 Homeworks, 1 Project
Laboratory WorkProgramming in computer laboratory
Computer UseFor Programming with Python
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Ödev 3 % 60
Projeler 1 % 40
TOTAL % 100
Course Administration cakart@mef.edu.tr
02123953600

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Ders Saati 14 1 3 0.5 63
Laboratuvar 14 1 2 0.5 49
Ödevler 4 2 10 1 52
Ara Sınavlar 1 1 2 3
Final 1 20 1 21
Total Workload 188
Total Workload/25 7.5
ECTS 7.5