| Course Name | Introduction to Programming |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| SE 113 | Fall | 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 |
|
| 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 | Being able to transfer knowledge and skills acquired in mathematics and science into engineering, | |||||
| 2 | Being able to identify and solve problem areas related to Food Engineering, | |||||
| 3 | Being able to design projects and production systems related to Food Engineering, gather data, analyze them and utilize their outcomes in practice, | |||||
| 4 | Having the necessary skills to develop and use novel technologies and equipment in the field of food engineering, | |||||
| 5 | Being able to take part actively in team work, express his/her ideas freely, make efficient decisions as well as working individually, | |||||
| 6 | Being able to follow universal developments and innovations, improve himself/herself continuously and have an awareness to enhance the quality, | |||||
| 7 | Having professional and ethical awareness, | |||||
| 8 | Being aware of universal issues such as environment, health, occupational safety in solving problems related to Food Engineering, | |||||
| 9 | Being able to apply entrepreneurship, innovativeness and sustainability in the profession, | |||||
| 10 | Being able to use software programs in Food Engineering and have the necessary knowledge and skills to use information and communication technologies that may be encountered in practice (European Computer Driving License, Advanced Level), | |||||
| 11 | Being able to gather information about food engineering and communicate with colleagues using a foreign language ("European Language Portfolio Global Scale", Level B1) | |||||
| 12 | Being able to speak a second foreign language at intermediate level. | |||||
| 13 | Being able to relate the knowledge accumulated during the history of humanity to the field of expertise | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
