INTRODUCTION TO COMPUTER PROGRAMMING PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BIL103E	INTRODUCTION TO COMPUTER PROGRAMMING	1	4	3	6

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Prof. OSMAN KOPMAZ
Instructor(s) of the Course Unit	Assist.Prof. ZEINAB HASSANZADEH
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to provide participants with basic information about the Python programming language, to gain skills in software development and implementation with Python, and to develop projects with the Python programming language.
Contents of the Course Unit:	Introduction to the Python programming language, basic components of programming (computers, development environments, editors, compilers, etc.), variables, data types, control and loop structures, the most basic data structures, functions, practical project development and presentation with Python.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Students who successfully complete the course will be able to develop programs with the Python programming language.
Be able to use flow control structures (decision and loop statements) in Python.
Be able to use various data structures (arrays, lists, dictionaries) in Python.
Be able to design functions in Python language.
Be able to perform file input/output operations using the Python programming language.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	The relevant section of the reference, additional resources, and lecture notes	Python Programming Language Basics: Introduction to Python, Why is the programming language Python so popular? Python packages, Anaconda, Python editors.	Lecture presentation, Discussion(Question-Answer)
2	The relevant section of the reference, additional resources, and lecture notes	Python Programming Language Basics: Python editors, Resources, Installing Python.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
3	The relevant section of the reference, additional resources, and lecture notes	Start Using Python: Python IDE, First Python Program, Python shell, Running Python from the Console, Scripting mode.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
4	The relevant section of the reference, additional resources, and lecture notes	Basic Python programming: Basic Python program, Variables (Numbers, Strings, String Input), Built-in functions, Examples.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
5	The relevant section of the reference, additional resources, and lecture notes	Basic Python programming: Python standard library, Using Python libraries, Packages and modules, Plotting in Python, Examples.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
6	The relevant section of the reference, additional resources, and lecture notes	Python programming: If ... else, Arrays, for loops, Nested for loops, While loops, Examples, Exercises.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
7	The relevant section of the reference, additional resources, and lecture notes	Creating Functions in Python: Introduction, Functions with multiple return values, Examples, Exercises.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
8	-	MID-TERM EXAM	-
9	The relevant section of the reference, additional resources, and lecture notes	Creating classes in Python: Introduction, The -init-() Function, Examples.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
10	The relevant section of the reference, additional resources, and lecture notes	Creating Python Modules: Python modules, Examples, Exercises.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
11	The relevant section of the reference, additional resources, and lecture notes	File Handling in Python: Introduction, Write data to a file, Read data from a file, Logging data to file, Web resources, Examples, Exercises.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
12	The relevant section of the reference, additional resources, and lecture notes	Error Handling in Python: Introduction to error handling, Syntax errors, Exceptions, Exceptions handling, Examples, Exercises.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
13	The relevant section of the reference, additional resources, and lecture notes	Debugging in Python: Debugging in Python Installing and using Python Packages: What is PIP?	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
14	The relevant section of the reference, additional resources, and lecture notes	Introduction to Python Environments and Distributions (PIP, Conda), Python Editors: Spyder, Visual studio code.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
15	The relevant section of the reference, additional resources, and lecture notes	Python Editors: Visual studio, Artificial intelligence-powered Python programming: Resources.	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Main Reference: Python Programming, by Hans-Petter Halvorsen, 2020, ISBN:978-82-691106-4-7.
Other Auxiliary References: - Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming, by Eriz Matthes, No Starch Press, 2023, - Automate The Boring Stuff With Python, 2nd Edition, by Al Sweigart, No Starch Press, 2019.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to apply mathematics, science and engineering knowledge.						5

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to apply mathematics, science and engineering knowledge.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to design experiments, conduct experiments, collect data, analyze and interpret results.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	A system, product or process has economic, environmental, social, political, ethical, health and safety, under realistic constraints and conditions such as feasibility and sustainability, Ability to design to meet requirements.					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to work in teams with different disciplines						5

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to identify, formulate and solve engineering problems						5

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Awareness of having professional and ethical responsibilities.						5
2	Ability to communicate effectively verbally and in writing.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to have a comprehensive education to understand the impact of engineering solutions on global and social dimensions.					4
2	Awareness of the necessity of lifelong learning and the ability to do so.					4
3	The ability to have knowledge about current/contemporary issues.						5
4	Ability to use the techniques required for engineering applications and modern engineering and calculation equipment.						5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	4	56
Preliminary & Further Study	1	1	1
Land Surveying	0	0	0
Group Work	2	4	8
Laboratory	1	1	1
Reading	5	5	25
Assignment (Homework)	2	5	10
Project Work	4	4	16
Seminar	1	1	1
Internship	0	0	0
Technical Visit	1	1	1
Web Based Learning	0	0	0
Implementation/Application/Practice	3	6	18
Practice at a workplace	1	1	1
Occupational Activity	1	3	3
Social Activity	1	2	2
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	1	5	5
Final Exam	1	2	2
Preparation for the Final Exam	1	1	1
Mid-Term Exam	1	2	2
Preparation for the Mid-Term Exam	1	1	1
Short Exam	1	1	1
Preparation for the Short Exam	1	1	1
TOTAL	44	0	156