This course aims to cover basic programming fundamentals and operating on datasets, including data types, control structures, algorithm development and program design with functions, through the Python programming language. introduces. The course discusses basic principles of programming as well as dataset manipulation. Students will solve problems, explore real-world software development challenges, and create practical and contemporary applications.
Course Content
This course contains; Computer and Programming Languages, Memory Concepts Operators, Problem Solving and Program Design Methods,Introduction to Python programming Language,Python basic data types, constants, variables, operators,Decision Making and Control Statements in Python,Flow control: Loop/repeat statements, for, while in Python,Flow control: Nested loops, break, continue in Python,Functions in Python,Midterm,String arrays,Lists and Dictionary,File: Input/output operations,numPy data analysis library,pandas library,Final Exam.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Sudents will learn Python programming language.
6
F
1.1. Will be able to develop programs with Python programming language.
6
A, F
2. will be able to use basic problem solving techniques.
9
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.
9
A
5. will be able to use Loops and Array Data Structure.
9
A
5.1. Uses "While, do .... while and for"
6
A, F
5.2. Use foreach.
6. Designs the problem in the form of algorithm, flow chart.
6
A, 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 (arrays, lists, dictionaries) in Python.
2
F
7.1. Uses arrays and lists.
7.2. Uses tuples and dictionaries
8. Will be able to execute file input/output operations using Python programming language.
2
F
8.1 Uses Files and Streams.
2
F
8.2. Writes and reads files.
9. Have knowledge about data science.
9.1. Operates on the dataset using the numpy library.
6
F
9.2. Operates on the dataset using the numpy library.
Computer and Programming Languages, Memory Concepts Operators, Problem Solving and Program Design Methods
Related chapter from the coursebook should be read
2
Introduction to Python programming Language
Related chapter in the course book should be read.
3
Python basic data types, constants, variables, operators
Related chapter in the course book should be read.
4
Decision Making and Control Statements in Python
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 in Python
Related chapter in the course book should be read.
7
Functions in Python
Related chapter in the course book should be read.
8
Midterm
Midterm exam
9
String arrays
Related chapter in the course book should be read.
10
Lists and Dictionary
-
11
File: Input/output operations
12
numPy data analysis library
Related chapter in the course book should be read.
13
pandas library
14
Final Exam
Related chapter in the course book should be read.
Resources
Contemporary programming languages like Python enjoy rich online documentation. Indeed, they are built on the premise that programmers are continually in contact with such documentation, and are not expected to memorize any but a small fraction of it.
Suggested book:
Starting Out with Python plus MyProgrammingLab with Pearson eText --Access Card Package (3rd Edition) Tony Gaddis ISBN-13: 978-0133862256
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.
X
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.
X
5
Prepares informatics/software projects and work in a team.
X
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
X
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.
X
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.
X
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
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
0
0
0
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
0
0
0
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
0
0
0
General Exam
0
0
0
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
0
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30)
0
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
-
Fall Semester
3+0
3
7
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
First Cycle (Bachelor's Degree)
Course Type
Required
Course Coordinator
Assist.Prof. Kevser ŞAHİNBAŞ
Name of Lecturer(s)
Prof.Dr. Gökhan SİLAHTAROĞLU
Assistant(s)
Aim
This course aims to cover basic programming fundamentals and operating on datasets, including data types, control structures, algorithm development and program design with functions, through the Python programming language. introduces. The course discusses basic principles of programming as well as dataset manipulation. Students will solve problems, explore real-world software development challenges, and create practical and contemporary applications.
Course Content
This course contains; Computer and Programming Languages, Memory Concepts Operators, Problem Solving and Program Design Methods,Introduction to Python programming Language,Python basic data types, constants, variables, operators,Decision Making and Control Statements in Python,Flow control: Loop/repeat statements, for, while in Python,Flow control: Nested loops, break, continue in Python,Functions in Python,Midterm,String arrays,Lists and Dictionary,File: Input/output operations,numPy data analysis library,pandas library,Final Exam.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Sudents will learn Python programming language.
6
F
1.1. Will be able to develop programs with Python programming language.
6
A, F
2. will be able to use basic problem solving techniques.
9
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.
9
A
5. will be able to use Loops and Array Data Structure.
9
A
5.1. Uses "While, do .... while and for"
6
A, F
5.2. Use foreach.
6. Designs the problem in the form of algorithm, flow chart.
6
A, 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 (arrays, lists, dictionaries) in Python.
2
F
7.1. Uses arrays and lists.
7.2. Uses tuples and dictionaries
8. Will be able to execute file input/output operations using Python programming language.
2
F
8.1 Uses Files and Streams.
2
F
8.2. Writes and reads files.
9. Have knowledge about data science.
9.1. Operates on the dataset using the numpy library.
6
F
9.2. Operates on the dataset using the numpy library.
Computer and Programming Languages, Memory Concepts Operators, Problem Solving and Program Design Methods
Related chapter from the coursebook should be read
2
Introduction to Python programming Language
Related chapter in the course book should be read.
3
Python basic data types, constants, variables, operators
Related chapter in the course book should be read.
4
Decision Making and Control Statements in Python
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 in Python
Related chapter in the course book should be read.
7
Functions in Python
Related chapter in the course book should be read.
8
Midterm
Midterm exam
9
String arrays
Related chapter in the course book should be read.
10
Lists and Dictionary
-
11
File: Input/output operations
12
numPy data analysis library
Related chapter in the course book should be read.
13
pandas library
14
Final Exam
Related chapter in the course book should be read.
Resources
Contemporary programming languages like Python enjoy rich online documentation. Indeed, they are built on the premise that programmers are continually in contact with such documentation, and are not expected to memorize any but a small fraction of it.
Suggested book:
Starting Out with Python plus MyProgrammingLab with Pearson eText --Access Card Package (3rd Edition) Tony Gaddis ISBN-13: 978-0133862256
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.
X
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.
X
5
Prepares informatics/software projects and work in a team.
X
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
X
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.
X
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.
X
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.
