TÜRKÇE
ENGLISH
Information
| Code | BL142 |
| Name | Advanced Python |
| Term | 2023-2024 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 |
| 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
The main purpose of this course is to teach students the concepts of object-oriented programs to the students who has the basic knowledge of python programming and to provide information about how to use scientific libraries.
Course Content
This course aims to teach the concepts such as class, object, inheritance, multi -formality, the 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 | Knows the concept of class. |
| LO02 | Learns the logic of object-oriented programming. |
| LO03 | Learns the use of ready libraries. |
| LO04 | Uses high -performance libraries in solving complex scientific problems. |
| LO05 | Learns to draw statistics through data. |
| LO06 | Learns to perform visualization using data. |
| LO07 | Learns to clean the data. |
| LO08 | Gains the ability to obtain information from raw data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic scientific concepts related to Computer Technologies. | |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Can use algorithmic thinking & planning approaches in programming. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | uses word processor, spreadsheet, presentation programs. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Has the ability to solve problems in the field of computer programming. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Knows the basic electronic parts of computer hardware and their functioning. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Basic level Database Systems, client/server software and implements | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | In Computer Technologies, students use graphical programs used in interface design and 3D modeling in web pages at basic level. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Explains, designs and installs network systems. | |
| PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | Uses Internet technologies, develops server-side working internet applications. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Can carry out a basic study related to the field independently or in disciplined teams | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Can do resource research and obtain information from database in order to follow the developments in the field with the necessity of lifelong learning. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Knows a foreign language which is sufficient for the applications in the field. | |
| PLO13 | Bilgi - Kuramsal, Olgusal | To be able to communicate effectively in written and oral Turkish. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | He/she can clearly explain the designs and applications related to computer technologies to his colleagues, superiors, others who are related to the field or not. | 3 |
| PLO15 | Bilgi - Kuramsal, Olgusal | Has knowledge about Atatürk's Principles and History of Revolution. | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | It is aware of occupational health and safety, environmental and ethical values within the framework of global and social values. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Classes and methods | Preparation is not required. | Öğretim Yöntemleri: Anlatım |
| 2 | Classes and methods (cont.) | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 3 | Inheritance | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 4 | Polymorphism | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Abstraction | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Encapsulation | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 7 | Exception Handling | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Numpy Arrays | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | Numpy Slicing | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Numpy Random Numbers | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Pandas Series and Dataframes | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Pandas File Manipulation | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Pandas Data Preprocessing | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Pandas Data Visualization | Preparation is not required. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | 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 | ||