Linear Algebra

Course Description

• Course Name

Linear Algebra

Algebra

• Language Level

Taught In English

• Course Level Recommendations

Lower

ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

Hours & Credits

• ECTS Credits

6
• Recommended U.S. Semester Credits
3
• Recommended U.S. Quarter Units
4
• Overview

Linear Algebra (251 - 15321)
Study: Bachelor in Aerospace Engineering
Semester 1/Fall Semester
1ST Year Course/Lower Division

Competences and skills that will be acquired and learning results:

The student should acquire the background in linear algebra needed to understand and apply concepts and techniques for the solution of problems arising in the different areas of aerospace engineering.

A) Learning objectives

- To solve systems of linear equations and to interpret the results
- To determine whether a square matrix is invertible or not, and to compute the inverse matrix (if it exists)
- To understand the notion of bases and coordinates in a vector space
- To represent a linear transformation by a matrix
- To compute the image and kernel of a linear transformation
- To compute the eigenvalues and eigenvectors of a matrix
- To compute the SVD decomposition of a matrix
- To find an approximate solution to an overdetermined system by least-square fitting

B) Specific skills

- To be able to solve systems of linear equations
- To be able to model real-world problems using linear algebra techniques, and solve them using algorithmic procedures.
- To be able to handle the abstract properties of vector spaces.

C) General skills

- To be able to think abstractly, and to use induction and deduction.
- To be able to communicate in oral and written forms using appropriately mathematical language.
- To be able to model a real situation using linear algebra techniques.
- To be able to interpret a mathematical solution of a given problem, its accuracy, and its limitations.
- To be able to use mathematical software.

Description of contents:

1. Systems of Linear Equations
2. Vector spaces
3. Matrix Algebra
4. Linear transformations
5. Basis
6. Orthogonality and Least-Squares
7. Eigenvalues and Eigenvectors
8. Pseudoinverse and singular value decomposition

Learning activities and methodology:

Lecture sessions: 3 credits
Problem sessions: 3 credits

Basic Bibliography:

D. C. LAY. "Linear Algebra and Its Applications". Addison Wesley; 3 edition (2002).
D. POOLE. "Linear Algebra: A Modern Introduction". Brooks Cole; 3 edition (2010).