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 | Blended | |||||
Teaching Methods and Techniques of the Course | Problem Solving Q&A Application: Experiment / Laboratory / Workshop Lecture / 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 | X |
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 |
|
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 Lowest, 2 Low, 3 Average, 4 High, 5 Highest