| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 學生對線性代數的理論基礎有所了解，並能將其應用於計算上。 |
| 1.Basic Knowledge in Mathematical Sciences |
| 2.Professional Knowledge in Mathematical Analysis |
|
|
|
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Vector Spaces
|
| Week 2 |
Subspaces |
| Week 3 |
Linear Combinations
|
| Week 4 |
Elementary Matrix Operations |
| Week 5 |
Systems of Linear Equations |
| Week 6 |
Linear Dependence and Linear Independence |
| Week 7 |
Bases and Dimension |
| Week 8 |
Bases and Dimension
|
| Week 9 |
Linear Transformations, Null spaces and Ranges
|
| Week 10 |
Linear Transformations, Null spaces and Ranges
|
| Week 11 |
The Matrix Representation of a Linear Transformation
|
| Week 12 |
Composition of Linear Transformations |
| Week 13 |
Invertibility and Isomorphisms |
| Week 14 |
The Change of Coordinate Matrix |
| Week 15 |
The Rank of a Matrix and Matrix Inverses |
| Week 16 |
Final Exam |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
Quizzes: 20%
Midterm Exam: 40%
Final Exam: 40% |
| Textbook & other References |
Linear Algebra; S.H. Friedberg, A.J.Insel, L.E.Spence; Prentice Hall
|
| Teaching Aids & Teacher's Website |
| iLearning |
| Office Hours |
Monday 16:00~17:00
Tuesday 12:00~13:00
|
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|