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Introduction to numerical methods

General data

Course ID: ERASMUS>MEC01
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Introduction to numerical methods
Name in Polish: Introduction to numerical methods
Organizational unit: Stanisław Staszic State University of Applied Sciences in Piła
Course groups:
ECTS credit allocation (and other scores): 2.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: English
Full description:

Aims of the course:

1. Acquainting students with selected numerical methods.

2. Developing students' skills in solving engineering problems with the use of selected numerical methods.

KNOWLEDGE – A STUDENT KNOWS AND UNDERSTANDS:

1. the issues in mathematics necessary to solve engineering problems using numerical methods;

2. programming issues necessary to solve non-linear equations, solve systems of linear equations using Gaussian elimination, numerical integration, approximation, interpolation, solving non-linear equations;

3. numerical methods used for: solving systems of linear equations using Gaussian elimination method, numerical integration, approximation, interpolation, solving nonlinear equations.

SKILLS – A STUDENT IS ABLE TO:

4. to write a program in VBA;

5. using numerical methods:

- solve nonlinear equations (bisection Method, Newton’s method),

- solve a system of linear equations (Gaussian elimination method),

- integrate numerically (multiple trapezoidal rule, multiple Simpson’s rule),

- use approximation,

- use interpolation (Lagrange interpolating polynomial, Spline function).

SOCIAL SKILLS – A STUDENT IS READY TO:

6. work both independently and in a group in which he takes various roles, is responsible for their own work.

Classes in period "Winter semester 2022/2023" (past)

Time span: 2022-10-01 - 2023-02-19
Selected timetable range:
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Type of class:
Final grade, 10 hours more information
Coordinators: (unknown)
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: Final rating

Classes in period "Winter semester 2023/2024" (past)

Time span: 2023-10-01 - 2024-02-18
Selected timetable range:
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Type of class:
Final grade, 10 hours more information
Coordinators: Marta Chudzicka-Adamczak
Group instructors: Marta Chudzicka-Adamczak
Students list: (inaccessible to you)
Examination: Final rating

Classes in period "Summer semester 2023/2024" (in progress)

Time span: 2024-02-19 - 2024-09-30
Selected timetable range:
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Type of class:
Final grade, 10 hours more information
Coordinators: Jarosław Mikołajczyk
Group instructors: Marta Chudzicka-Adamczak
Students list: (inaccessible to you)
Examination: Final rating
Course descriptions are protected by copyright.
Copyright by Stanisław Staszic State University of Applied Sciences in Piła.
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