Goals and objectives  Course Outcomes  

1.  The students can use basic operations of matrices to solve a linear equation with Gaussian elimination. 
A1

2.  The students can raise concrete & nontrivial examples of the four fundamental vector subspaces and for each such example, they can find a basis and determine its dimension. 
A1

3.  The students can use GramSchmidt to find an orthonormal basis for a given subspace of a vector space. 
A1

4.  The students can use eigenvariables & eigenvectors of a given matrix A to diagonalize A and to compute the power of A. 
A1

5.  The students can raise concrete examples of a linear transformation and can determine whether a given transformation is linear or not. 
A1

Midterm exam  Final exam  Total.  

1.  20%  10%  30% 
2.  20%  10%  30% 
3.  15%  15%  
4.  15%  15%  
5.  10%  10%  
Total.  40%  60%   
Class schedule  HW assignments (Including preparation and review of the class.)  Amount of Time Required  

1.  Introduction to Linear Algebra The geometry of linear equations Elimination with matrices 
Review the content of the lecture (1.11.3, 2.12.3 in the textbook)  160分 
Preparation before the lecture  220分  
2.  Matrix operations and inverses Elimination and factorization 
Review the content of the lecture (2.42.6 in the textbook)  160分 
Preparation before the lecture  220分  
3.  Transposes Vector spaces and subspaces 
Review the content of the lecture (2.7, 3.1 in the textbook)  120分 
Preparation before the lecture  260分  
4.  The nullspace The complete solution to Ax = b 
Review the content of the lecture (3.23.3 in the textbook)  160分 
Preparation before the lecture  220分  
5.  Basis and dimension The four fundamental subspaces 
Review the content of the lecture (3.43.5 in the textbook)  160分 
Preparation before the lecture  220分  
6.  Orthogonality Projections and subspaces 
Review the content of the lecture (4.14.2 in the textbook)  160分 
Preparation before the lecture  220分  
7.  Midterm exam and discussions on the solutions afterwards  Preparation for & Review of the midterm exam  380分 
8.  Least squares approximations Orthonormal bases and GramSchmidt 
Review the content of the lecture (4.34.4 in the textbook)  160分 
Preparation before the lecture  220分  
9.  Properties of determinants Formulas for determinants 
Review the content of the lecture (5.15.2 in the textbook)  160分 
Preparation before the lecture  220分  
10.  Applications of determinants Eigenvalues and eigenvectors 
Review the content of the lecture (5.3, 6.1 in the textbook)  160分 
Preparation before the lecture  220分  
11.  Diagonalization  Review the content of the lecture (6.2 in the textbook)  160分 
Preparation before the lecture  220分  
12.  Linear transformations The Matrix of a Linear Transformation 
Review the content of the lecture (8.1, 8.2 in the textbook)  160分 
Preparation before the lecture  220分  
13.  Review  Work on exercises  160分 
Preparation before the lecture  220分  
14.  Final exam and discussions on the solutions afterwards  Preparation for & Review of the final exam  380分 
Total.      5320分 
A:Fundamental Mechanical Engineering  B:Advanced Mechanical Engineering  C:Environment and Materials Engineering  D:Chemistry and Biotechnology  E:Electrical Engineering and Robotics  G:Advanced Electronic Engineering  F:Information and Communications Engineering  L:Computer Science and Engineering  H:Urban Infrastructure and Environment 

ways of feedback  specific contents about "Other" 

Feedback in the class 
Work experience  Work experience and relevance to the course content if applicable 

N/A  N/A 