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Regular version of the site

Linear Algebra

2021/2022
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Bridging course
When:
1 year, 1, 2 module

Instructor

Course Syllabus

Abstract

The course “Linear Algebra” (in English) covers basic definitions and methods of linear algebra. This course, together with other mathematical courses, provides sufficient condition for students to be ready participate in quantitative and computational modeling at the Master’s program 37.04.01 «Cognitive sciences and technologies: from neuron to cognition».
Learning Objectives

Learning Objectives

  • To familiarize students with the subject of mathematics, its foundation and connections to the other branches of knowledge.
  • To familiarize students with linear systems and matrices.
  • To familiarize students with determinants and volumes.
  • To familiarize students with vector spaces and bases.
  • To familiarize students with scalar product and norm; distance and angle as derivatives from scalar product.
  • To familiarize students with orthogonal and symmetric linear operators.
  • To familiarize students with the intersection of linear algebra, calculus, and psychology
Expected Learning Outcomes

Expected Learning Outcomes

  • Students should be able to check whether vectors are linear independent or not
  • Students should be able to construct an orthonormal basis by applying the Gram-Schmidt process.
  • Students should be able to construct least square polynomials
  • Students should be able to diagonalize a matrix and to evaluate powers of a matrix.
  • Students should be able to diagonalize a quadratic form.
  • Students should be able to evaluate determinants.
  • Students should be able to evaluate the dot product of vectors, to find angles between vectors, to find projection of one vector on another.
  • Students should be able to find a transition matrix for change of coordinates
  • Students should be able to find basis of vector space
  • Students should be able to find coordinates of a vector in a nonstandart basis
  • Students should be able to find rank of a matrix
  • Students should be able to find the matrix of a linear transformation
  • Students should be able to find the new matrix of a lynear transformation after a change of basis
  • Students should be able to perform an orthogonall diagonalization of a symmetric operator
  • Students should be able to perform basic computations with complex numbers. Students should be able to evaluate powers and roots of a complex number and to evaluate an exponent of a complex number.
  • Students should be able to perform fundamental operations with matrices
  • Students should be able to solve linear systems using Gauss or Gauss-Jordan method
  • Students should be able to solve lynear systems using the theorem of Cramer. Students should be able ti solve homogeneous lynear systems.
  • Stugents should be able to find the basis for the kernel and for the range of a linear transformation.
Course Contents

Course Contents

  • Vectors and matrices
  • Solving Linear Systems by Gaussian and Jordan Elimination.
  • Determinant definition and properties.
  • Rank of a matrix. Inverse matrix
  • Complete solution to Ax = b. Linear homogeneous systems
  • Eigenvalues and eigenvectors.
  • Finite dimensional vector spaces.
  • Linear Operators. Matrix Algebra and Matrices of Linear Transformations.
  • The kernel and the range of a linear transformation.
  • Orthogonality.
  • Least-squares polynomials and least square solutions for inconsistent systems.
  • Complex numbers.
  • Quadratic Forms. Positive definite matrices.
  • Matrix Decompositions
Assessment Elements

Assessment Elements

  • non-blocking Test
    The retake will consist of the similar tasks and will be evaluated in the same manner.
  • non-blocking Test
    The retake will consist of the similar tasks and will be evaluated in the same manner.
  • non-blocking Written Exam
    The first retake will consist of the similar tasks and will be evaluated in the same manner. The final mark of the course will also evaluate in the same manner. Sinse there are two exams on the course the second retake will consist of the joint of these two exams. In this case the final mark is equal to the mark obtained during the second retake.
  • non-blocking exam
    The first retake will consist of the similar tasks and will be evaluated in the same manner. The final mark of the course will also evaluate in the same manner. Sinse there are two exams on the course the second retake will consist of the joint of these two exams. In this case the final mark is equal to the mark obtained during the second retake.
Interim Assessment

Interim Assessment

  • 2021/2022 1st module
    0.3 * Test + 0.7 * Written Exam
  • 2021/2022 2nd module
    0.7 * exam + 0.3 * Test
Bibliography

Bibliography

Recommended Core Bibliography

  • Calculus : concepts and methods, Binmore, K., 2001
  • Elementary linear algebra : with supplement applications, Anton, H., 2011

Recommended Additional Bibliography

  • Linear algebra with applications, Leon, S. J., 2002