Linear Algebra

Universidad Carlos III de Madrid

Course Description

  • Course Name

    Linear Algebra

  • Host University

    Universidad Carlos III de Madrid

  • Location

    Madrid, Spain

  • Area of Study


  • Language Level

    Taught In English

  • Course Level Recommendations


    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

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • 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).

    Additional Bibliography:

    B. KOLMAN and D. R. HILL. "Introductory Linear Algebra: An Applied First Course". Prentice Hall; 8 edition (2006).
    O. BRETSCHER. "Linear algebra with applications". Prentice Hall (2001).

Course Disclaimer

Courses and course hours of instruction are subject to change.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.


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