| School/Faculty/Institute |
Graduate School |
| Course Code |
ITC 507 |
| Course Title in English |
Programming for Data Science |
| Course Title in Turkish |
Programming for Data Science |
| Language of Instruction |
EN |
| Type of Course |
Exercise,Lecture |
| Level of Course |
Intermediate |
| Semester |
Güz |
| Contact Hours per Week |
| Lecture: 3 |
Recitation: |
Lab: |
Other: |
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| Estimated Student Workload |
174 hours per semester |
| Number of Credits |
7.5 ECTS |
| Grading Mode |
Standard Letter Grade
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| 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 anlamak.(sıra, dallanma, yineleme)
2) Temel bilgisayar algoritmalarını tasarlamak
3) Mühendislik problemlerini çözmek için bilgisayar programları oluşturmak (Python'da Uygulamak)
4) C programlama dilinin temellerini anlamak (Python'un işlevleri, dizileri, sözdizimi)
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| Program Learning Outcomes/Course Learning Outcomes |
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Relation to Program Outcomes and Competences
| N None |
S Supportive |
H Highly Related |
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Program Outcomes and Competences |
Level |
Assessed by |
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N |
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N |
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N |
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N |
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| 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
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| 2) |
Değişkenler, dizeler, sayılar, ifadeler
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| 3) |
Sıra, Koşullar, döngüler |
| 4) |
Sıra, Koşullar, döngüler |
| 5) |
Algoritma Sözde Kodu
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| 6) |
Listeleme ve listeleme işlemleri
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| 7) |
Veri yapıları
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| 8) |
Veri yapıları
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| 9) |
Veri yapıları
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| 10) |
Özet fonksiyonu
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| 11) |
Yinelemeli prosedürler
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| 12) |
Python ile açık kaynak ve büyük veri
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| 13) |
Python ile açık kaynak ve büyük veri
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| 14) |
Öğrenci Sunumları |
| 15) |
Proje/Sunum Dönemi |
| 16) |
Proje/Sunum Dönemi |
Bilgi Paketi / Ders Kataloğu