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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. Mahir ATMIŞ
Course Instructor
1 2
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 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 Cleans the data during preprocessing.
LO08 Obtains information from raw data.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gains basic, current and applied knowledge about Computer Technologies. 5
PLO02 Bilgi - Kuramsal, Olgusal Gains knowledge about occupational health and safety, environmental awareness, and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Has knowledge of basic electronic components comprising computer hardware and their operations.
PLO04 Bilgi - Kuramsal, Olgusal Has 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 Has the ability to solve 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 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

Update Time: 18.11.2024 07:42