Theory: 50 %

Practice: 50 %

Recommended semester: 1

Study mode: full-time

Prerequisites:

Evaluation type: exam

Course category:

Language: english

Responsible instructor: Dr. Pintér István

Responsible department: Department of Information Technologies

Instructor(s):

Course objectives:
The aim of the course is to introduce the basic concepts of informatics and to apply them to solving technical problems.

Course content - lectures:

Acquisition of basic engineering concepts, skills and competences in the fields of checking, dimensioning and load calculations of supporting structures, determination of deformation of supporting structures and determination of stresses on statically indeterminate supports. The aim of the course is to introduce the theoretical concepts, to illustrate them with examples close to the practice of mechanical engineering and to develop appropriate practice in solving problems.

Course content - labs:

Acquired competences:
Knowledge:

Comprehensive knowledge of the basics, limits and requirements of the information technology disciplines integrally related to the field of engineering.Ability: to understand and use the literature, computer and library resources typical of his/her field; to apply the acquired IT knowledge in solving the tasks in his/her field. Attitude: open to the use of IT tools, willing to learn and use software in the field of engineering, with at least one such program at a proficiency level.

Skills:

Is able to apply the acquired IT knowledge in solving tasks arising in their field of expertise. Is capable of applying the technical specifications related to the operation of mechanical systems, as well as the principles of setting up and operating machinery and mechanical equipment, and their economic correlations.

Attitude:

Is open to learning about and accepting ongoing professional and technological developments and innovations in the technical field, and reliably conveying them.

Autonomy and responsibilities:

Identifies the shortcomings of applied technologies, the risks of processes, and initiates actions to mitigate these.

Additional professional competences:

Requirements, evaluation, grading:
Mid-term study requirements:
Earn at least 50 points with the assignments, study material and the scoring paper.
Exam requirements:

The exam is written, but a mark may be awarded for the subject in accordance with the current TVSz.

Study aids, laboratory background:

Compulsory readings:

Stoyan Gisbert: MATLAB - Numerikus matematika - Mérnököknek és programozóknak. Egyetemi jegyzet, Typotex Kiadó, 2007, ISBN: 9789639664418 Stoyan Gisbert (szerk.): Numerikus módszerek, grafika, statisztika, eszköztárak. TypoTex kiadó, 2011. ISBN: 978-963-2794-40-2

Recommended readings: