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Department of Mechanical Engineering
SE 113 | Course Introduction and Application Information
| Course Name |
Introduction to Programming
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
SE 113
|
SPRING
|
2
|
2
|
3
|
6
|
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | Required (Core Course) | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face-To-Face / Online | |||||
| Teaching Methods and Techniques of the Course | Problem Solving Q&A Application: Experiment / Laboratory / Workshop Lecture / Presentation | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
|
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| Course Lecturer(s) |
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| Assistant(s) |
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| Course Objectives | The main purpose of this course is to provide students with basic programming skills. Python programming language will be used. Topics cover the following concepts: basic types, variables, expressions, flow control structures, functions, file operations, and classes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | This course teaches students the basic concepts of programming using the Python programming language. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
|
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|
|
Core Courses |
X
|
| Major Area Courses |
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction to programming with Python. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 1. | LO1 |
| 2 | Basic data types, constants, variables, operators; LAB#1. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 2. | LO1 |
| 3 | Input expressions, algorithm, pseudocode; LAB#2. | Severance, Python for Everybody: Exploring Data in Python 3, Chapters 3 ve 5. | LO1 |
| 4 | Flow control: Conditional operation; LAB#3. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 3. | LO2 |
| 5 | Flow control: Loop/iteration statements, for, while; LAB#4. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. | LO2 |
| 6 | Flow control: Nested loops, break, continue; LAB#5. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. | LO2 |
| 7 | Functions; LAB#6. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 4. | LO3 |
| 8 | Midterm | - | |
| 9 | Strings; LAB#7. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 6. | LO4 |
| 10 | File handling: Input/output operations; LAB#8. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 7. | LO5 |
| 11 | Listsr; LAB#9. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 8. | LO4 |
| 12 | Dictionaries; LAB#10. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 9. | LO4 |
| 13 | Classes and objects: Using objects; LAB#11. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. | LO6 |
| 14 | Classes and objects: Defining classes. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. | LO6 |
| 15 | Review. | - | |
| 16 | Final exam. | - |
| Course Notes/Textbooks | Python for Everybody: Exploring Data in Python 3 Charles Severance CreateSpace Independent Publishing Platform 978-1530051120 |
| Suggested Readings/Materials |
Python Programming Fundamentals Kent D. Lee ISBN 978-1-4471-6642-9 The Python Language Reference https://docs.python.org/3/reference/index.html Interactive Python Tutorial https://www.learnpython.org/ |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO6 | LO5 | LO4 | LO3 | LO2 | LO1 |
| Midterm | 1 | 30 | X | X | X | |||
| Laboratory / Application | 1 | 30 | X | X | X | X | X | X |
| Final Exam | 1 | 40 | X | X | X | |||
| Total | 3 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 2 | 32 |
| Laboratory / Application Hours | 16 | 2 | 32 |
| Study Hours Out of Class | 14 | 6 | 84 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | - | - | - |
| Project | - | - | - |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 15 | 15 |
| Final Exam | 1 | 17 | 17 |
| Total | 180 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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