Linear Algebra and Calculus

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Linear Algebra and Calculus

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Algebra, Calculus

  • Language Level

    Taught In English

  • Course Level Recommendations

    Upper

    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

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

    Course Objective

    Upon completion of the course, students will:

    • Demonstrate a solid comprehension of fundamental concepts in Linear Algebra and Calculus, including vectors, matrices, linear systems, differentiation, and integration (Knowledge and Understanding).
    • Apply mathematical techniques to solve basic exercises and problems across different levels of complexity within Linear Algebra and Calculus, such as solving linear systems or diagonalization, showcasing proficiency in computations and problem-solving strategies (Applying Knowledge and Understanding).
    • Engage in rigorous mathematical reasoning by providing proofs of statements and theorems, and by explaining underlying concepts and principles (Applying Knowledge and Understanding; Making Judgments).
    • Develop the ability to articulate mathematical solutions and explanations effectively, engaging clear communication of mathematical concepts (Communication Skills).
    • Cultivate learning skills necessary for further study in mathematics and AI, including the ability to independently explore advanced topics, identify areas for improvement, and pursue self-directed learning opportunities (Learning Skills).

     

    Course Content

    Calculus:

    • Limits
    • Derivatives
    • Partial derivatives
    • Gradients
    • Integrals

     

    Linear Algebra:

    • Linear systems of equations
    • Row reduction
    • Linear maps
    • Matrix and vectors operations
    • Vector spaces
    • Determinants
    • Eigenvalues, eigenvectors and diagonalization
    • Inner product, orthogonalization and Gram Schmidt

     

    Teaching Methods

    Theory lectures and exercise tutorials each week.

     

    Type of  Assessment

    At least one final exam at the end of the course. Possibility of a midterm or other assessments.

Course Disclaimer

Faculty of Behavioural and Movement Sciences 

X

This site uses cookies to store information on your computer. Some are essential to make our site work; others help us improve the user experience. By using the site, you consent to the placement of these cookies.

Read our Privacy Policy to learn more.

Confirm