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Mathematics - course description

General information
Course name Mathematics
Course ID 06.9-WM-MaPE-P-Mat-23
Faculty Faculty of Mechanical Engineering
Field of study Management and Production Engineering
Education profile academic
Level of studies First-cycle studies leading to Engineer's degree
Beginning semester winter term 2023/2024
Course information
Semester 1
ECTS credits to win 6
Course type obligatory
Teaching language english
Author of syllabus
  • dr Aleksandra Rzepka
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
Lecture 30 2 - - Exam
Class 30 2 - - Credit with grade

Aim of the course

To equip students with knowledge concerning basic algebraic structures and  with basic notions of mathematical analysis.

Prerequisites

Secondary school mathematics.

Scope

Lecture

1.Elements of mathematical logic and set theory. (1h)

2.Complex numbers. Operations on complex numbers. Fundamental theorem of algebra. (2h)

3. Matrices. Operations on matrices. Determinant of the matrix. Inverse matrix. (2h)

4. Systems of linear equations. Cramer's theorem. Rank of a matrix . Kronecker Capelli's theorem. (3h)

5. System solving methods. Gauss elimination method. (2h)

6. Analytic geometry in space. Vectors. Dot product, Vector product and mixed product of vectors. (2h)

7. Planes and lines in space. (2h)

8. The definition of a number sequence. Limit  of sequences. . (2h)

9 .Limit of function. Limit theorems. Asymptotes. (2h)

10. Continuity of function. Theorems about continuous functions. (2h)

11. The derivative of the function. Function differential. Higher order derivatives. (2h)

12. Derivative theorems. The de L'Hospital rule. (2h)

13. Function study. Monotonicity and extrema of functions. Convexity and inflection points of functions. (2h)

14. Integration of functions. (2h)

15. Calculation of definite integrals and its applications in geometry and physics. (2h)

 

Class

1. Elements of mathematical logic and set theory. (1h)

2. Complex numbers. Operations on complex numbers. Fundamental theorem of algebra. (2h)

3. Matrices. Operations on matrices. Determinant of the matrix. Inverse matrix. (2h)

4. Systems of linear equations. Cramer's theorem. Rank of a matrix . Kronecker Capelli's theorem. (2h)

5. System solving methods. Gauss elimination method. (2h)

6. Analytic geometry in space. Vectors. Dot product.  Vector product and mixed product of vectors. (2h)

7. Planes and lines in space. (2h)

8. Class test. (1h)

9. The definition of a number sequence. Limit  of sequences. . (2h)

10. Limit of function. Limit theorems. Asymptotes. (2h)

11. Continuity of function. Theorems about continuous functions. (1h)

12.The derivative of the function. Function differential. Higher order derivatives. (2h)

13. Derivative theorems. The de L'Hospital rule. (2h)

14. Function study. Monotonicity and extrema of functions. Convexity and inflection points of functions. (2h)

15. Integration of functions. (2h)

16. Calculation of definite integrals and its applications in geometry and physics. (2h)

17. Class test. (1h)

Teaching methods

Lecture: conventional, problematic, presentation.

Classes: work in groups, solving typical tasks illustrating the subject matter of the subject. Exercises on applying the theory, solving problematic tasks.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Classes: Average grades from tests and activity during classes.

Lecture: Exam/colloquium in written/oral form preceded by obtaining a pass from the exercises.

Final grade: The condition for passing the course is to pass all its forms. The final grade for completing the course is the arithmetic average of the grades for individual forms of classes.

 

Recommended reading

  1. J. Douglas Faires, Barbara T. Faires, Calculus, Random House, New York.
  2.   Strang, Gilbert, Linear Algebra and Its Applications, Cengage Learning, 2005.
  3. G. Birkhoff, S. Mac Lane, A Survey of Modern Algebra, A.K. Peters, 1997
  4. R. Larson, Elmentary linear algebra, 8 edition, Cengage Learning, 2007
  5. E. W. Swokowski, Calculus with analytic geometry, Prindle, Weber & Schmidt Publishers, Boston 1983.

Further reading

  1. R. Larson ., B.H. Edwards, Calculus, Brooks/Cole, 9 edition, 2010
  2. S. Lipschutz, M. Lipson, Schaum's outlines. Linear algebra, 3 edition, 2001

Notes


Modified by dr Aleksandra Rzepka (last modification: 10-05-2023 21:52)