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 | |||||
Course Level | First Cycle | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | Problem SolvingQ&AApplication: Experiment / Laboratory / WorkshopLecture / Presentation | |||||
Course Coordinator | ||||||
Course Lecturer(s) | ||||||
Assistant(s) | - |
Course Objectives | The main objective of this course is to provide the students with basic skills of programming. Python programming language will be used. Topics include the following concepts: fundamental types, variables, statements, control flow structures, functions, file operations and classes. |
Learning Outcomes | The students who succeeded in this course;
|
Course Description | This course introduces the students to the fundamental concepts of programming using Python programming language. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction to programming in Python. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 1. |
2 | Fundamental data types, constants, variables, operators; LAB#1. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 2. |
3 | Input statements, algorithm, pseudocode; LAB#2. | Severance, Python for Everybody: Exploring Data in Python 3, Chapters 3 and 5. |
4 | Flow control: Conditional execution; LAB#3. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 3. |
5 | Flow control: Loop/repetition statements, for, while; LAB#4. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. |
6 | Flow control: Nested loops, break, continue; LAB#5. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. |
7 | Functions; LAB#6. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 4. |
8 | Midterm exam. | |
9 | Strings; LAB#7. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 6. |
10 | File handling: Input/output operations; LAB#8. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 7. |
11 | Lists; LAB#9. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 8. |
12 | Dictionaries; LAB#10. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 9. |
13 | Classes and objects: Using objects; LAB#11. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. |
14 | Classes and objects: Defining classes. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. |
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 |
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Semester Activities | Number | Weighting |
Participation | ||
Laboratory / Application | 1 | 30 |
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 2 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 14 | 6 | 84 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 10 | |
Final Exams | 1 | 12 | |
Total | 170 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. | X | ||||
2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. | X | ||||
4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. | X | ||||
5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. | X | ||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. | X | ||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions | |||||
8 | To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. | |||||
9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. | X | ||||
10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest