BL142 Advanced Python

4 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Code BL142
Name Advanced Python
Term 2024-2025 Academic Year
Semester 2. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. Mahir ATMIŞ
Course Instructor Öğr. Gör. Mahir ATMIŞ (A Group) (Ins. in Charge)


Course Goal / Objective

Write object-oriented programs with Python and lay the foundation for data science.

Course Content

Application of concepts such as class, object, inheritance, polymorphism, use of NumPy and Pandas libraries, data visualization and data analysis.

Course Precondition

None

Resources

Ders Notları Mahir Atmış

Notes

Veri Bilimi İçin Python Eğitim Kitabı, Dr. Bülent ÇOBANOĞLU


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the concept of class.
LO02 Writes of object-oriented programs.
LO03 Uses ready libraries.
LO04 Uses high -performance libraries in solving complex scientific problems.
LO05 Draws statistics through data.
LO06 Performs visualization using data.
LO07 Applies preprocessing method on data.
LO08 Analyzes information obtained from basic data.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Lists basic, current and applied knowledge about Computer Technologies. 5
PLO02 Bilgi - Kuramsal, Olgusal Remembers knowledge about occupational health and safety, environmental awareness, and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Lists basic electronic components comprising computer hardware and their operations.
PLO04 Bilgi - Kuramsal, Olgusal Remembers the knowledge about Atatürk's Principles and History of Revolution.
PLO05 Beceriler - Bilişsel, Uygulamalı Keeps track of current developments and applications in computer programming, and utilizes them effectively.
PLO06 Beceriler - Bilişsel, Uygulamalı Solves problems in the field of computer programming.
PLO07 Beceriler - Bilişsel, Uygulamalı Creates algorithms and data structures, and performs mathematical calculations. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Explains and implements web programming technologies.
PLO09 Beceriler - Bilişsel, Uygulamalı Performs database design and management.
PLO10 Beceriler - Bilişsel, Uygulamalı Tests software and resolves errors.
PLO11 Beceriler - Bilişsel, Uygulamalı Can utilize software and package programs in the field of computer programming. 4
PLO12 Beceriler - Bilişsel, Uygulamalı Explains, designs and installs network systems.
PLO13 Beceriler - Bilişsel, Uygulamalı Uses word processor, spreadsheet, presentation programs.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively present thoughts on computer technologies through written and verbal communication, expressing them clearly and comprehensibly.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes responsibility as a team member to solve unforeseen complex problems encountered in practical applications of computer programming. 2
PLO16 Yetkinlikler - Öğrenme Yetkinliği Has awareness in career management and lifelong learning.
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Has societal, scientific, cultural, and ethical values ​​in the collection, application, and announcement of results related to computer technologies.
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Follows developments in the field using a foreign language and communicates with colleagues.
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively communicate in Turkish both in written and oral forms.


Week Plan

Week Topic Preparation Methods
1 Classes and methods Study the relevant section from the relevant course source Öğretim Yöntemleri:
Anlatım
2 Classes and methods (cont.) Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
3 Inheritance Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
4 Polymorphism Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 Abstraction Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
6 Encapsulation Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
7 Exception Handling Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Studying the repetitions of topics in the relevant book Ölçme Yöntemleri:
Yazılı Sınav
9 Numpy Arrays Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
10 Numpy Slicing Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 Numpy Random Numbers Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Pandas Series and Dataframes Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Pandas File Manipulation Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 Pandas Data Preprocessing Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Pandas Data Visualization Study the relevant section from the relevant course source Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Studying the repetitions of topics in the relevant book Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Studying the repetitions of topics in the relevant book Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 1 3 3
Mid-term Exams (Written, Oral, etc.) 1 5 5
Final Exam 1 18 18
Total Workload (Hour) 110
Total Workload / 25 (h) 4,40
ECTS 4 ECTS

Update Time: 18.02.2025 09:00