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 |