Computer Programming

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
03841201	Advanced Computer Programming	2	Spring	4	2+1+0	5	5

Course Type	Elective
Course Cycle	Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	-
Instructor(s)	Lect. Abubakar MAYANJA
Instructor Assistant(s)	-

Name and Surname	Room	E-Mail Address	Internal	Meeting Hours
Lect. Abubakar MAYANJA	TSMYO-T213	[email protected]	7829	Wednesday 12:00 - 01:00

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses
Transferable Skills Courses	X
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P11	Creates algorithms and data structures and performs mathematical calculations.	4
P12	Explains and applies web programming technologies.	4

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Knows the basic elements of a computer.	P.1.1	7
O2	Knows how to use the internet and do research.	P.1.2	3
O3	To be able to define the basic concepts of information technologies and computer systems and to explain the relationships between these concepts.	P.20.1	1
O4	Ability to effectively use basic software applications (e.g. presentation software, etc.) and prepare professional documents with these tools.	P.20.2	7
O5	Developing the ability to search for information, access information and share information securely using the Internet and web technologies.	P.20.3	3
O6	Being aware of data security, ethics and privacy issues and being able to apply these principles.	P.20.4	4
O7	Ability to write simple programs by understanding computer programming and algorithm logic at a basic level.	P.20.5	7
O8	Understand the applications of information technologies in different disciplines and evaluate the potential impacts of these technologies.	P.20.6	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Collections and Iterators (Advanced use of lists, tuples, sets, and dictionaries Custom iterators and generators)
2	Data Classes: Introduction to data classes (dataclasses module) Comparison of data classes with traditional classes
3	Design Patterns(Singleton, Factory, Observer patterns Applying design patterns in Python)
4	(Object-Oriented Programming) Metaclasses and Decorators: Understanding metaclasses Creating and using decorators for functions and classes
5	(Functional Programming) Functional Programming Concepts: First-class functions, higher-order functions Lambda functions and list comprehensions
6	(Functional Programming) Modules and Packages Structuring Python projects Using and creating packages, virtual environments, and dependencies
7	Mid-Semester Exams
8	(Concurrency and Parallelism) :Threading and Multiprocessing Understanding the Global Interpreter Lock (GIL) Implementing threading and multiprocessing
9	(Error Handling and Testing) Exception Handling Advanced error handling techniques Creating custom exceptions
10	(Error Handling and Testing )Testing and Debugging Unit testing with unittest and pytest Test-driven development (TDD) concepts
11	(Web Development and APIs) Web Frameworks Overview of Flask or Django for web applications Building RESTful APIs with Flask
12	(Web Development and APIs) Consuming APIs Using requests library to consume web APIs Handling JSON data in Python
13	Data Processing and Visualization, Machine Learning Basics, Deployment and CI/CD Deploying Python applications (Docker, cloud platforms) Continuous integration and deployment practices
14	Final Exam

Resources	Programming Python, 4th Edition [Book] - O'Reilly
	Fluent Python" by Luciano Ramalho, "Python Cookbook" by David Beazley,

In-Term Studies	Quantity	Percentage
Attendance	-	-
Laboratory	-	-
Practice	-	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	2	20 (%)
Presentation	-	-
Projects	-	-
Seminar	-	-
Quiz	-	-
Listening	-	-
Midterms	1	30 (%)
Final Exam	1	50 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	4	56
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	3	42
Midterms	1	15	15
Quiz	0	0	0
Homework	0	0	0
Practice	14	1	14
Laboratory	14	1	14
Project	0	0	0
Workshop	0	0	0
Presentation/Seminar Preparation	0	0	0
Fieldwork	0	0	0
Final Exam	1	15	15
Other	0	0	0
Total Work Load:			156
Total Work Load / 30			5,20
Course ECTS Credits:			5

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P1	P20
O1	Knows the basic elements of a computer.	3	-
O2	Knows how to use the internet and do research.	4	-
O3	To be able to define the basic concepts of information technologies and computer systems and to explain the relationships between these concepts.	-	5
O4	Ability to effectively use basic software applications (e.g. presentation software, etc.) and prepare professional documents with these tools.	-	5
O5	Developing the ability to search for information, access information and share information securely using the Internet and web technologies.	-	5
O6	Being aware of data security, ethics and privacy issues and being able to apply these principles.	-	5
O7	Ability to write simple programs by understanding computer programming and algorithm logic at a basic level.	-	5
O8	Understand the applications of information technologies in different disciplines and evaluate the potential impacts of these technologies.	-	3