Computer methods in engineering - course description

General information

Course name	Computer methods in engineering
Course ID	11.3-WE-AutP-CMinE-Er
Faculty	Faculty of Computer Science, Electrical Engineering and Automatics
Field of study	WIEiA - oferta ERASMUS / Automatic Control and Robotics
Education profile	-
Level of studies	First-cycle Erasmus programme
Beginning semester	winter term 2018/2019

Course information

Semester	1
ECTS credits to win	5
Course type	obligatory
Teaching language	english
Author of syllabus	dr inż. Marcel Luzar

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	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade

Aim of the course

The goal of the subject is:

introduction to basic computer methods used in engineering calculations,
educating students to understand the need for correct engineering calculations with desired accuracy,
developing basic skills for practical use of Matlab / Octave / Scilab environments in solving common engineering tasks.

Prerequisites

None (1 semester subject)

Scope

Matlab, Octave and Scilab engineering computational environments. Characteristics of each environment, scope of application, main disadvantages and advantages. Rules and guidelines for using extensive help attached to environments. Algebraic operations on vectors and matrices and their transformations. Logical expressions and relational operators. Operations on strings. Basic mathematical trigonometric functions and keywords. Iterative instructions and recursion (for, while loops), conditional instructions (if-else, switch-case). Definition of the script and functions. File operations and variables in the workspace. Programming basis, debugging. Functions that analyze the data sets. Operations on polynomials. Interpolation and approximation. Create two- and three-dimensional charts. Simple animation. Nonstandard data structures: sparse matrices, structures, cell tables, multidimensional arrays. Symbol operations. Graphical user interface design. Use of external compilers known programming languages (C, C++). Overview of selected toolboxes. Simulink package. Building models with operating blocks, simulating real-time systems, communicating with an OPC server.

Teaching methods

Lecture: Conventional lecture

Laboratory: Laboratory exercises

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture - a condition of pass is to obtain a positive grade in the written test.

Laboratory - a condition of pass is to obtain positive grades from all laboratory exercises that are expected to be performed within the laboratory program.

Components of the final grade = lecture: 50% + laboratory: 50%.

Notes

Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 29-04-2020 08:27)

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