Details - Tematika

Foreign language 1 (GAJABAN-IDNEMET1-1)

Basic data

Name and type of the study programme

Vehicle Engineering, undergraduate program

Curriculum

2023

Classes / consultation hours

0 + 2 + 0 (L+S+Labs)

Credits

3 credits

Theory – Practice

Theory: 50%, Practice: 100%

Recommended semester

Semester 2

Study mode

full-time

Prerequisites

–

Evaluation type

Mid-term evaluation

Course category

Mandatory optional

Language

English

Instructors

Responsible instructor

Dr. Sági Norberta

Responsible department

Nyelvoktatási és Nyelvvizsgaközpont

Instructor(s)

Dr. Sági Norberta, Dominekné Nagyhegyesi Mónika

Checked by

Kelemen János

Course objectives

The aim of the subject is to acquire the special vocabulary in engineering on an intermediate level. This course combines a specialist vocabulary, and it also develops general language skills which are necessary for the students to succeed in this area. The course contains topics that reflect the latest developments in the field making it immediately relevant to students’ needs. The course trains the students for the effective communication at work.

Course content

Seminars

Course contents: Metallbearbeitung, Umformen; Schmieden, Gießen, Technische Werkstoffe; Stahl und Kennzeichen des Stahls; Manuelles Zerspanen, Maschinelles Zerspanen; Conversational skills: giving opinion, arguing, polite phrases, and public speaking – giving presentations. Reading skills: application of metacognitive reading strategies, reading different special texts, analyzing graphical information Writing skills: writing reports, essays, power point presentations Grammar skills: development of inflectional, derivational and compound morphology Listening: eliciting important information from authentic texts.

Acquired competences

Knowledge

Skills

Attitude

Autonomy and responsibilities

Requirements, evaluation and grading

Mid-term study requirements

Continuous assessment during the semester: The grades are obtained based on points acquired during the semester by completing the following tasks: active participation in the lesson, presentation on an engineering topic, vocabulary tests, writing an exam paper consisting of vocabulary and grammar tasks. Exam criteria: Students complete the course by acquiring at least 50% of the maximum number of points (100 points). The grades are awarded according to the Learning and Exam Regulations of the John von Neumann University.

Exam requirements

–

Generative AI usage

Use of GAI tools is permitted in a limited manner (e.g., for literature search support or specific tools). In this case, the course instructor is responsible for defining where and how GAI tools may be used in assignments. The course description must specify in detail how GAI tools may be used during the course.

Study aids, laboratory background

German-English dictionary

Readings

Compulsory readings

Dominekné Nagyhegyesi Mónika: Deutsches Übungsbuch für zukünftige Inginenieure Teil 1 (2021).