Computer Programming
การเขียนโปรแกรมคอมพิวเตอร์
Course description
computational thinking, algorithms, variables, data types, expressions, control structures, functions, arrays, file handling, debugging, and program development for acquiring, processing, and presenting technological data
Thai description
หลักการคิดเชิงคำนวณ ขั้นตอนวิธี ตัวแปร ชนิดข้อมูล นิพจน์ โครงสร้างควบคุม ฟังก์ชัน อาร์เรย์ การจัดการแฟ้มข้อมูล การดีบัก และการพัฒนาโปรแกรมเพื่อรับ ประมวลผล และแสดงผลข้อมูลจากงานเทคโนโลยี
Course learning outcomes (CLO)
| CLO | Outcome | PLO |
|---|---|---|
| CLO1 | Write structured Python programs to solve technology problems | PLO4 |
| CLO2 | Read, process and store data from files and telemetry | PLO4 |
| CLO3 | Use Git and collaborative coding practices | PLO4PLO6 |
Learning modules
1Python basics and development environments
Weeks 1–3 · 27 hLesson 90 minquiz2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Python programming for technology workIn development
- Jupyter NotebookTH
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
2Control structures and functions
Weeks 4–6 · 27 hLesson 90 minquiz1 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Python programming for technology workIn development
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
3Files, data and libraries
Weeks 7–9 · 27 hLesson 90 minquiz2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Python programming for technology workIn development
- Data handling and visualisation with PythonIn development
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
4Reading telemetry with pymavlink
Weeks 10–12 · 27 hLesson 90 minquiz2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
5Block programming and Git for teamwork
Weeks 13–15 · 27 hLesson 90 minquiz3 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
Assessment (draft)
| Labs and worksheets | 35% |
| Module quizzes | 10% |
| Midterm examination | 20% |
| Mini-project or practical exam | 35% |
Knowledge domain
Key references
- Matthes, E. (2023). Python crash course (3rd ed.). No Starch Press.
- MAVLink Development Team. MAVLink developer guide. link