Difference between revisions of "IU:TestPage"
Jump to navigation
Jump to search
R.sirgalina (talk | contribs) |
R.sirgalina (talk | contribs) |
||
| Line 62: | Line 62: | ||
| D || [0, 49] |
| D || [0, 49] |
||
|} |
|} |
||
| + | === Resources and reference material === |
||
| + | * Gilbert Strang. Linear Algebra and Its |
||
| + | Applications, 4th Edition, Brooks Cole, 2006. ISBN: 9780030105678 |
||
| + | * Gilbert Strang. Introduction to Linear Algebra, 4th Edition, Wellesley, MA: Wellesley-Cambridge Press, 2009. ISBN: 9780980232714 |
||
Revision as of 16:03, 6 December 2021
Analytical Geometry \& Linear Algebra -- II
- Course name: Analytical Geometry \& Linear Algebra -- II
- Course number: XYZ
Course Characteristics
Key concepts of the class
- fundamental principles of linear algebra,
- concepts of linear algebra objects and their representation in vector-matrix form
What is the purpose of this course?
Course objectives based on Bloom’s taxonomy
- What should a student remember at the end of the course?
By the end of the course, the students should be able to
- List basic notions of linear algebra
- Understand key principles involved in solution of linear equation systems and the properties of matrices
- Linear regression analysis
- Fast Fourier Transform
- How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition
- What should a student be able to understand at the end of the course?
By the end of the course, the students should be able to
- Key principles involved in solution of linear equation systems and the properties of matrices
- Become familiar with the four fundamental subspaces
- Linear regression analysis
- Fast Fourier Transform
- How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition
- What should a student be able to apply at the end of the course?
By the end of the course, the students should be able to
- Linear equation system solving by using the vector-matrix approach
- Make linear regression analysis
- Fast Fourier Transform
- To find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition
Course evaluation
| Type | Points |
|---|---|
| Labs/seminar classes | 20 |
| Interim performance assessment | 30 |
| Exams | 50 |
Grades range
| Grade | Points |
|---|---|
| A | [85, 100] |
| B | [65, 84] |
| C | [50, 64] |
| D | [0, 49] |
Resources and reference material
- Gilbert Strang. Linear Algebra and Its
Applications, 4th Edition, Brooks Cole, 2006. ISBN: 9780030105678
- Gilbert Strang. Introduction to Linear Algebra, 4th Edition, Wellesley, MA: Wellesley-Cambridge Press, 2009. ISBN: 9780980232714