Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| PYTHON PROGRAMMING | - | Fall Semester | 1+2 | 2 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Short Cycle (Associate's Degree) |
| Course Type | Elective |
| Course Coordinator | Lect. Beyza KOYULMUŞ |
| Name of Lecturer(s) | Lect. Cansu BAŞAK |
| Assistant(s) | Pycharm |
| Aim | The aim of this course is to teach the Python Programming language. |
| Course Content | This course contains; Course Introduction,What is Python, Environment Setups, First Project,Variables,Data Types ( Numbers ),Data Types (Float, String, String Functions),Data Types (List, List Functions, Tuple),Data Types (Map, Dictionaries),Operators, Mathematical Operations,Conditional Statements - Decision Structures ( if, elif, else ),Loops ( While, For ),Functions,Global and Local variables, Lambda Expressions, recursive functions,Modules, File Operations,Object Oriented Programming (Class, Object, Access Designators, Inheritance, Abstraction, Polymorphism, Encapsulation). |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Uses control statements, loops, functions and lists | 10, 12, 14, 16, 6, 9 | A, E, G |
| Understand programming concepts and techniques using Python Language | 14, 16, 6, 8, 9 | A, F |
| Defines the concepts of encapsulation, polymorphism, inheritance and abstraction | 16, 6, 8, 9 | A, E |
| Solves basic programming problems | 14, 16, 6, 8 | A, E, F |
| Uses list functions | 16, 6, 8, 9 | A |
| Learns file operations | 12, 14, 16, 6, 8, 9 | A |
| Master data types and functions | 14, 6, 8, 9 | A, F |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course Introduction | |
| 2 | What is Python, Environment Setups, First Project | |
| 3 | Variables | |
| 4 | Data Types ( Numbers ) | |
| 5 | Data Types (Float, String, String Functions) | |
| 6 | Data Types (List, List Functions, Tuple) | |
| 7 | Data Types (Map, Dictionaries) | |
| 8 | Operators, Mathematical Operations | |
| 9 | Conditional Statements - Decision Structures ( if, elif, else ) | |
| 10 | Loops ( While, For ) | |
| 11 | Functions | |
| 12 | Global and Local variables, Lambda Expressions, recursive functions | |
| 13 | Modules, File Operations | |
| 14 | Object Oriented Programming (Class, Object, Access Designators, Inheritance, Abstraction, Polymorphism, Encapsulation) |
| Resources |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business. | X | |||||
| 2 | Chooses and uses the proper solution methods and special techniques for programming purpose. | X | |||||
| 3 | Uses modern techniques and tools for programming applications. | X | |||||
| 4 | Works effectively individually and in teams. | X | |||||
| 5 | Implements and follows test cases of developed software and applications. | X | |||||
| 6 | Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices. | X | |||||
| 7 | Reaches information, and surveys resources for this purpose. | X | |||||
| 8 | Aware of the necessity of life-long learning; follows technological advances and renews him/herself. | X | |||||
| 9 | Communicates, oral and written, effectively using modern tools. | X | |||||
| 10 | Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance. | X | |||||
| 11 | Keeps attention in clean and readable code design. | X | |||||
| 12 | Considers and follows user centered design principles. | 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 | 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 |
|---|---|---|---|---|---|
| PYTHON PROGRAMMING | - | Fall Semester | 1+2 | 2 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Short Cycle (Associate's Degree) |
| Course Type | Elective |
| Course Coordinator | Lect. Beyza KOYULMUŞ |
| Name of Lecturer(s) | Lect. Cansu BAŞAK |
| Assistant(s) | Pycharm |
| Aim | The aim of this course is to teach the Python Programming language. |
| Course Content | This course contains; Course Introduction,What is Python, Environment Setups, First Project,Variables,Data Types ( Numbers ),Data Types (Float, String, String Functions),Data Types (List, List Functions, Tuple),Data Types (Map, Dictionaries),Operators, Mathematical Operations,Conditional Statements - Decision Structures ( if, elif, else ),Loops ( While, For ),Functions,Global and Local variables, Lambda Expressions, recursive functions,Modules, File Operations,Object Oriented Programming (Class, Object, Access Designators, Inheritance, Abstraction, Polymorphism, Encapsulation). |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Uses control statements, loops, functions and lists | 10, 12, 14, 16, 6, 9 | A, E, G |
| Understand programming concepts and techniques using Python Language | 14, 16, 6, 8, 9 | A, F |
| Defines the concepts of encapsulation, polymorphism, inheritance and abstraction | 16, 6, 8, 9 | A, E |
| Solves basic programming problems | 14, 16, 6, 8 | A, E, F |
| Uses list functions | 16, 6, 8, 9 | A |
| Learns file operations | 12, 14, 16, 6, 8, 9 | A |
| Master data types and functions | 14, 6, 8, 9 | A, F |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course Introduction | |
| 2 | What is Python, Environment Setups, First Project | |
| 3 | Variables | |
| 4 | Data Types ( Numbers ) | |
| 5 | Data Types (Float, String, String Functions) | |
| 6 | Data Types (List, List Functions, Tuple) | |
| 7 | Data Types (Map, Dictionaries) | |
| 8 | Operators, Mathematical Operations | |
| 9 | Conditional Statements - Decision Structures ( if, elif, else ) | |
| 10 | Loops ( While, For ) | |
| 11 | Functions | |
| 12 | Global and Local variables, Lambda Expressions, recursive functions | |
| 13 | Modules, File Operations | |
| 14 | Object Oriented Programming (Class, Object, Access Designators, Inheritance, Abstraction, Polymorphism, Encapsulation) |
| Resources |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business. | X | |||||
| 2 | Chooses and uses the proper solution methods and special techniques for programming purpose. | X | |||||
| 3 | Uses modern techniques and tools for programming applications. | X | |||||
| 4 | Works effectively individually and in teams. | X | |||||
| 5 | Implements and follows test cases of developed software and applications. | X | |||||
| 6 | Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices. | X | |||||
| 7 | Reaches information, and surveys resources for this purpose. | X | |||||
| 8 | Aware of the necessity of life-long learning; follows technological advances and renews him/herself. | X | |||||
| 9 | Communicates, oral and written, effectively using modern tools. | X | |||||
| 10 | Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance. | X | |||||
| 11 | Keeps attention in clean and readable code design. | X | |||||
| 12 | Considers and follows user centered design principles. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |