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 / WorkshopLecturing / 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 | Course Content 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, Midterm 1. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 4. |
8 | Character Strings. | Severance, Python for Everybody: Exploring Data in Python 3, Ünite 6 |
9 | Lists; LAB#7. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 8. |
10 | Dictionaries; LAB#8. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 9. |
11 | File handling: Input/output operations; LAB#9. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 7. |
12 | Classes and objects: Using objects; LAB#10. | Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. |
13 | Midterm 2. | |
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 | Weigthing |
Participation | 15 | 10 |
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 2 | 50 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 18 | 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 | 2 | 10 | |
Final Exams | 1 | 12 | |
Total | 180 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | X | ||||
2 | To be able to identify, define, formulate, and solve complex Biomedical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | X | ||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications. | X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics. | X | ||||
6 | To be able to work efficiently in Biomedical Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
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 global and social impact of Biomedical Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Biomedical Engineering, and to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign language 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 Biomedical Engineering. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest