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Linear Algebra 1 - course description

General information
Course name Linear Algebra 1
Course ID 11.1-WK-IiEP-AL1-Ć-S14_pNadGen1B2ND
Faculty Faculty of Exact and Natural Sciences
Field of study computer science and econometrics
Education profile academic
Level of studies First-cycle studies leading to Bachelor's degree
Beginning semester winter term 2019/2020
Course information
Semester 1
ECTS credits to win 6
Course type obligatory
Teaching language polish
Author of syllabus
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Class 30 2 - - Credit with grade
Lecture 30 2 - - Exam

Aim of the course

The aim of the course is to acquaint the student with the basic of linear algebra.

Prerequisites

Secondary school mathematics.

Scope

Lecture

  1.  Complex numbers: the conjugate of a complex number, the modulus, the trigonometric form, the geometrical interpretation of operations, de Moivre's formula, the root of complex numbers. The fundamental theorem of algebra. (6 hours)
  2. Matrices: operations on matrices, the determinant of a matrix and its properties, the inverse matrix, the rank of a matrix. (6 hours)
  3. Solving systems of linear equations. The Kronecker-Cappelli theorem, the Cramer's theorem. The Gauss elimination method. (4 hours)
  4. Analytical geometry in R3. The dot product and the cross product. The equation of a plane and a line. Quadric surfaces. (6 hours)
  5. Relations and their properties. An equivalence relation and equivalence classes. A partial order relation, partially ordered sets. Lattices. (5 hours)
  6. Algebraic structures: Boolean algebras, groups and fields. Examples. (3 hours)

Class

  1. Complex numbers: the conjugate of a complex number, the modulus, the trigonometric form, the geometrical interpretation of operations, de Moivre's formula, the root of complex numbers. The fundamental theorem of algebra. (6 hours)
  2. Matrices: operations on matrices, the determinant of a matrix and its properties, the inverse matrix, the rank of a matrix. (6 hours)
  3. Solving systems of linear equations. The Kronecker-Cappelli theorem, the Cramer's theorem. The Gauss elimination method. (6 hours)
  4. Analytical geometry in R3. The dot product and the cross product. The equation of a plane and a line. Quadric surfaces. (6 hours)
  5. Relations and their properties. An equivalence relation and equivalence classes. A partial order relation, partially ordered sets. Lattices. (2 hours)

Teaching methods

Traditional lecturies and solving problems under the supervision of the instructor.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

In order to be allowed to take the exam a student has to have a positive class grade and active participation in classes.

In order to pass the exam a student has to have a positive exam grade.

The final grade is an arithmetic average of the class grade  and the exam grade.

Recommended reading

1. Robert A. Beezer, A First Course in Linear Algebra.

2. Thomas W. Judson, Abstract Algebra:Theory and Applications.

3. Jim Hefferon, Linear Algebra.

Further reading

Notes


Modified by dr Alina Szelecka (last modification: 21-11-2020 06:10)