Enable students design and code simple computer programs by presenting them how computers do jobs. Python programming language will be used. Topics cover the following concepts: basic types, variables, expressions, flow control structures, functions, file operations, classes, numpy and pandas libraries.
Course Content
This course contains; Introduction to programming with Python.,Basic data types, constants, variables, operators in Python,Flow control: Conditional run,Input expressions, algorithm, pseudocode,Flow control: Loop/repeat statements, for, while in Python,Flow control: Nested loops, break, continue,Functions,Applications,Strings,Lists,Dictionaries, tupples,numpy library,pandas library,Dataset applications with numpy and pandas libraries.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Sudents will learn Python programming language.
6
A, F
1.1. Will be able to develop programs with Python programming language.
6
A
2. will be able to use basic problem solving techniques.
6
A, F
2.1. Analyzes the problem.
6
A, F
3. Defines operators.
6
A, F
3.1 Uses Increment and Decrement Operators with Assignment Operators.
6
A, F
4. will be able to use simple Decision-making expressions.
6
A, F
4.1. Will be able to use flow control structures (decision and loop statements) in Python.
6
A, F
5. will be able to use Loops and Array Data Structure.
6
A, F
5.1. Uses "While, do .... while and for"
6
A, F
5.2. Use foreach.
6
A, F
6. Designs the problem in the form of algorithm, flow chart.
2
F
6.1. Will be able to design functions in Python language.
6
A, F
6.2. Calls Function with Reference.
6
A, F
7. Will be able to use various data structures in Python.
2
F
7.1. Uses arrays and lists.
6
A, F
7.2. Uses tuples and dictionaries
6
A, F
8. Will be able to execute file input/output operations using Python programming language.
6
A, F
8.1 Uses Files and Streams.
6
F
8.2. Writes and reads files.
6
A, F
9. Have knowledge about data science.
6
A, F
9.1. Operates on the dataset using the numpy library.
6
A, F
9.2. Operates on the dataset using the numpy library.
6
A, F
Teaching Methods:
2: Project Based Learning Model, 6: Experiential Learning
Assessment Methods:
A: Traditional Written Exam, F: Project Task
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to programming with Python.
Related chapter from the coursebook should be read
2
Basic data types, constants, variables, operators in Python
Related chapter in the course book should be read.
3
Flow control: Conditional run
Related chapter in the course book should be read.
4
Input expressions, algorithm, pseudocode
Related chapter in the course book should be read.
5
Flow control: Loop/repeat statements, for, while in Python
Sample application to be prepared
6
Flow control: Nested loops, break, continue
Related chapter in the course book should be read.
7
Functions
Related chapter in the course book should be read.
8
Applications
Midterm exam
9
Strings
Related chapter in the course book should be read.
10
Lists
11
Dictionaries, tupples
12
numpy library
Related chapter in the course book should be read.
13
pandas library
14
Dataset applications with numpy and pandas libraries
Related chapter in the course book should be read.
Resources
HER YÖNÜYLE PYTHON EĞİTİM KİTABI, FIRAT ÖZGÜL, 2023, Kodlab
Python for Everybody: Exploring Data in Python 3, Charles Severance, CreateSpace Independent Publishing Platform, 978-1530051120
Python Programming Fundamentals, Kent D. Lee, ISBN 978-1-4471-6642-9
The Python Language Reference https://docs.python.org/3/reference/index.html
Interactive Python Tutorial https://www.learnpython.org/
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of information and management.
X
2
Describes the necessary mathematical and statistical methods in the field of information and management.
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
7
5
35
Resolution of Homework Problems and Submission as a Report
7
7
49
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
2
1
2
Midterm Exam
1
2
2
General Exam
1
8
8
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
138
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(138/30)
5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
PROGRAMMING LANGUAGES I
YBS2134100
Fall Semester
3+0
3
5
Course Program
Çarşamba 11:00-11:45
Çarşamba 12:00-12:45
Çarşamba 12:45-13:30
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
First Cycle (Bachelor's Degree)
Course Type
Required
Course Coordinator
Assist.Prof. Kevser ŞAHİNBAŞ
Name of Lecturer(s)
Assist.Prof. Kevser ŞAHİNBAŞ
Assistant(s)
Aim
Enable students design and code simple computer programs by presenting them how computers do jobs. Python programming language will be used. Topics cover the following concepts: basic types, variables, expressions, flow control structures, functions, file operations, classes, numpy and pandas libraries.
Course Content
This course contains; Introduction to programming with Python.,Basic data types, constants, variables, operators in Python,Flow control: Conditional run,Input expressions, algorithm, pseudocode,Flow control: Loop/repeat statements, for, while in Python,Flow control: Nested loops, break, continue,Functions,Applications,Strings,Lists,Dictionaries, tupples,numpy library,pandas library,Dataset applications with numpy and pandas libraries.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Sudents will learn Python programming language.
6
A, F
1.1. Will be able to develop programs with Python programming language.
6
A
2. will be able to use basic problem solving techniques.
6
A, F
2.1. Analyzes the problem.
6
A, F
3. Defines operators.
6
A, F
3.1 Uses Increment and Decrement Operators with Assignment Operators.
6
A, F
4. will be able to use simple Decision-making expressions.
6
A, F
4.1. Will be able to use flow control structures (decision and loop statements) in Python.
6
A, F
5. will be able to use Loops and Array Data Structure.
6
A, F
5.1. Uses "While, do .... while and for"
6
A, F
5.2. Use foreach.
6
A, F
6. Designs the problem in the form of algorithm, flow chart.
2
F
6.1. Will be able to design functions in Python language.
6
A, F
6.2. Calls Function with Reference.
6
A, F
7. Will be able to use various data structures in Python.
2
F
7.1. Uses arrays and lists.
6
A, F
7.2. Uses tuples and dictionaries
6
A, F
8. Will be able to execute file input/output operations using Python programming language.
6
A, F
8.1 Uses Files and Streams.
6
F
8.2. Writes and reads files.
6
A, F
9. Have knowledge about data science.
6
A, F
9.1. Operates on the dataset using the numpy library.
6
A, F
9.2. Operates on the dataset using the numpy library.
6
A, F
Teaching Methods:
2: Project Based Learning Model, 6: Experiential Learning
Assessment Methods:
A: Traditional Written Exam, F: Project Task
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to programming with Python.
Related chapter from the coursebook should be read
2
Basic data types, constants, variables, operators in Python
Related chapter in the course book should be read.
3
Flow control: Conditional run
Related chapter in the course book should be read.
4
Input expressions, algorithm, pseudocode
Related chapter in the course book should be read.
5
Flow control: Loop/repeat statements, for, while in Python
Sample application to be prepared
6
Flow control: Nested loops, break, continue
Related chapter in the course book should be read.
7
Functions
Related chapter in the course book should be read.
8
Applications
Midterm exam
9
Strings
Related chapter in the course book should be read.
10
Lists
11
Dictionaries, tupples
12
numpy library
Related chapter in the course book should be read.
13
pandas library
14
Dataset applications with numpy and pandas libraries
Related chapter in the course book should be read.
Resources
HER YÖNÜYLE PYTHON EĞİTİM KİTABI, FIRAT ÖZGÜL, 2023, Kodlab
Python for Everybody: Exploring Data in Python 3, Charles Severance, CreateSpace Independent Publishing Platform, 978-1530051120
Python Programming Fundamentals, Kent D. Lee, ISBN 978-1-4471-6642-9
The Python Language Reference https://docs.python.org/3/reference/index.html
Interactive Python Tutorial https://www.learnpython.org/
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of information and management.
X
2
Describes the necessary mathematical and statistical methods in the field of information and management.
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.
