Computer Programming

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
03831205	Python Programming	2	Autumn	3	3+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	Project-Based Learning (PBL), Case Studies and Real-World Examples
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	-4	[email protected]	7829	Wednesday 09.20

Basic Vocational Courses	X
Specialization / Field Courses	X
Support Courses	X
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
P4	Effectively uses information technologies (software, programs, animations, etc.) related to her/his profession.	2
P8	Has awareness of career management and lifelong learning.	2
P1	He/she has basic, current and applied information about his/her profession.	1
P2	Gains knowledge about occupational health and safety, environmental awareness and quality processes.	1
P3	He/She follows current developments and practices in his profession and uses them effectively.	2
P5	Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions.	5
P6	Can present his/her thoughts effectively through written and verbal communication at the level of knowledge and skills and expresses them in an understandable manner.	4
P7	Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field	4
P9	It has social, scientific, cultural and ethical values in the stages of collecting data related to its field, applying it and announcing the results.	1
P10	Follows the information in her field and communicates with her/his colleagues by using a foreign language	2
P11	Creates algorithms and data structures and performs mathematical calculations.	3
P12	Explains and applies web programming technologies.	2
P13	Performs database design and management.	1
P14	Tests software and fixes bugs.	1
P15	Bir yabancı dili Avrupa Dil Portfolyosu A1-A1+ seviyesi genel düzeyinde kullanır.	1
P16	Osmanlı'dan Türkiye Cumhuriyet'e gelen süreci genel hatlarıyla açıklayabilme ve dünya tarihi içerisindeki konumunu tespit edebilme.	1
P17	Milletimizin ait olduğu medeniyeti tanımak ve meslek ahlakıyla hareket edebilmek ve sosyal sorumluluk bilincine sahip olmak.	1
P18	Türk dilinin yazılı ve sözlü anlatım biçimlerinde meydana gelebilecek anlatım bozukluklarının tespiti, giderilmesi ve doğru cümleler ile anlamlı konuşma metinlerinin üretimi ve bilimsel araştırma yöntemleri konularında yetkinleşebilme	1
P19	Sağlıklı ve güvenli bir çalışma ortamı oluşturmak için karşılaşılan sorunlarının çözümünde İSG ile ilgili bilgiler ile uygun yöntem ve araçları seçer ve kullanır.	1
P20	Öğrencilerin bilgi teknolojilerini etkin ve verimli bir şekilde kullanarak akademik ve profesyonel hayatlarında karşılaştıkları problemleri çözme yetkinliği kazanmaları.	2

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Knows how to develop algorithms and creates a data structure suitable for the algorithm.	P.4.1	4
O2	Knows the basic elements of a computer.	P.1.1	4
O3	Knows how to use the internet and do research.	P.1.2	3
O4	Knows current techniques for data analysis.	P.3.1	7
O5	Must know and use current software development platforms.	P.3.2	4
O6	Tests software and fixes bugs.	P.5.1	4
O7	Knows analytical, effective research and solution techniques to identify problems.	P.5.2	4
O8	Ability to write reports using basic statistical information	P.6.1	2
O9	Knows how to use at least one of the MS Office tools.	P.6.2	1,5
O10	Have knowledge of project management	P.7.1	6
O11	Offers solutions to problems within the project.	P.7.2	6
O12	Having the ability to work at different stages of the project such as development, testing and maintenance	P.7.3	4,5,7
O13	Works effectively individually and in multidisciplinary teams.	P.7.4	1,2,5
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Introduction to Python and Setting Up the Environment (Overview of Python and its applications Setting up Python and IDEs (e.g., VS Code, Jupyter Notebook, PyCharm) Basic syntax, variables, and data types (integers, floats, strings) Input/output operations)
2	Basic Operators and Expressions (Arithmetic, comparison, and logical operators Type casting and type checking Working with strings: concatenation, slicing, and basic functions Introduction to debugging and error handling)
3	Control Flow - Conditionals and Loops (if, elif, and else statements Loops: for and while loops Nested loops and conditional statements Using break, continue, and pass)
4	Working with Collections (Lists, Tuples, Sets, Dictionaries)
5	Functions and Modular Programming (Defining and calling functions Function parameters and return values Understanding scope (local vs. global variables),Lambda functions, map, filter, and list comprehensions)
6	Error Handling and Debugging Techniques (Introduction to exceptions and error types Using try, except, finally, and else for error handling Debugging strategies and tools Writing more robust code with exception handling)
7	Mid-semester Exams
8	Working with Files (Reading from and writing to files Understanding file modes (read, write, append) Working with paths and file organization Basic error handling with file operations)
9	Introduction to Object-Oriented Programming (OOP). Understanding classes and objects Creating classes and constructors Working with attributes and methods The concept of self and initializing object instances)
10	Advanced OOP Concepts (Inheritance and polymorphism Encapsulation and private/public attributes Method overriding and super() Creating basic projects using OOP)
11	Working with Libraries and Modules (Importing and using standard libraries (math, random, datetime, etc.) Installing and using external libraries with pip Introduction to commonly used libraries: numpy, pandas, matplotlib Creating and importing custom modules)
12	Introduction to Data Handling with Python (Basics of data handling with pandas Working with datasets: loading, exploring, and cleaning data Simple data visualization with matplotlib Introduction to data frames and series)
13	Final Project and Code Review (Planning and developing a small project (e.g., a calculator, contact book, or simple game) Best practices for writing clean and readable code Code review and feedback session Course wrap-up and Q&A)
14	Final Exam

Resources

Introduction to Python Programming Book by Gowrishankar S and Veena A

In-Term Studies	Quantity	Percentage
Attendance	1	-
Laboratory	10	-
Practice	1	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	4	20 (%)
Presentation	-	-
Projects	1	-
Seminar	-	-
Quiz	-	-
Listening	-	-
Midterms	1	30 (%)
Final Exam	1	50 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	2	28
Midterms	1	15	15
Quiz	0	0	0
Homework	1	15	15
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:			143
Total Work Load / 30			4,77
Course ECTS Credits:			5

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

#	Learning Outcomes	P1	P3	P4	P5	P6	P7
O1	Knows the basic elements of a computer.	5	-	-	-	-	-
O2	Knows how to use the internet and do research.	3	-	-	-	-	-
O3	Knows current techniques for data analysis.	-	4	-	-	-	-
O4	Must know and use current software development platforms.	-	4	-	-	-	-
O5	Knows how to develop algorithms and creates a data structure suitable for the algorithm.	-	-	3	-	-	-
O6	Tests software and fixes bugs.	-	-	-	3	-	-
O7	Knows analytical, effective research and solution techniques to identify problems.	-	-	-	5	-	-
O8	Ability to write reports using basic statistical information	-	-	-	-	4	-
O9	Knows how to use at least one of the MS Office tools.	-	-	-	-	1	-
O10	Have knowledge of project management	-	-	-	-	-	3
O11	Offers solutions to problems within the project.	-	-	-	-	-	3
O12	Having the ability to work at different stages of the project such as development, testing and maintenance	-	-	-	-	-	4
O13	Works effectively individually and in multidisciplinary teams.	-	-	-	-	-	4