DRT 111 · 3(3-0-6) · Year/term 1/1

Applied Mathematics for Technology

คณิตศาสตร์ประยุกต์สำหรับเทคโนโลยี

Progress
Notional hours: 135 h (online/self-study 90 · in class/lab 45)

Course description

Principles and applications of algebra, functions, trigonometry, vectors, matrices, equations, and elementary calculus for technology problem solving; applications to electrical and electronic systems, motion, control systems, and unmanned aircraft systems; and the use of digital tools for computation and data analysis.

Thai description

หลักการและการประยุกต์พีชคณิต ฟังก์ชัน ตรีโกณมิติ เวกเตอร์ เมทริกซ์ สมการ และแคลคูลัสเบื้องต้นสำหรับการวิเคราะห์ปัญหาทางเทคโนโลยี การคำนวณค่าทางไฟฟ้า อิเล็กทรอนิกส์ การเคลื่อนที่ ระบบควบคุม และระบบอากาศยานไร้คนขับ ตลอดจนการใช้เครื่องมือดิจิทัลช่วยคำนวณและวิเคราะห์ข้อมูล

Description source: Curriculum draft — supplementary proposal

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Apply algebra, functions and trigonometry to technology problemsPLO1
CLO2Compute with vectors and matrices to transform aircraft reference framesPLO1
CLO3Apply elementary calculus to motion and sensor dataPLO1PLO4

Learning modules

1Algebra, functions and units
Weeks 1–3 · 27 h
Lesson 75 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

2Trigonometry and angles in flight
Weeks 4–6 · 27 h
Lesson 80 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

3Vectors and matrices
Weeks 7–9 · 27 h
Lesson 85 minquiz1 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

4Coordinate transformations and reference frames
Weeks 10–12 · 27 h
Lesson 90 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

5Elementary calculus of motion
Weeks 13–15 · 27 h
Lesson 90 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Assessment (draft)

Quizzes and exercises20%
Midterm examination30%
Final examination40%
Participation and discussion10%

Knowledge domain

Key references

  1. Stroud, K. A., & Booth, D. J. (2020). Engineering mathematics (8th ed.). Bloomsbury.
  2. Kreyszig, E. (2011). Advanced engineering mathematics (10th ed.). Wiley.
  3. Beard, R. W., & McLain, T. W. (2012). Small unmanned aircraft: Theory and practice. Princeton University Press.