Optional subjects
Our department offers optional courses in a number of disciplines, open to all students at the university. You can find out more about these through the descriptions below.
Professional network building
In our Research Group’s Professional network building course, you can learn the fundamentals of networking, professional self-branding, communication, and body language in a relaxed, playful, yet effective manner. Moreover, we will teach you about the various types of conferences you might encounter during your studies and later in your professional life. You’ll learn how to choose the right ones from among them and what it takes to successfully participate, so that you can leave with an expanding professional knowledge and a network of connections. Throughout the semester, you’ll also have the opportunity to put yourself to the test at one of the conferences we recommend.
BME – MOME Vehicle Design – Micromobility
We consider it of utmost importance to equip future engineers with the most complex knowledge possible. This goal also inspired the creation of our new subject.
Within the framework of the subject, in addition to the design and development of micro-mobility devices and vehicles, which are increasingly determining the future of mobility, the appropriate forms of communication, cooperation, and contact can also be learned. We assign a prominent role to the collaboration with representatives of related fields, including design planners, which often occurs during subsequent engineering work.
While completing the subject, working closely with MOME students is possible. The students of the course can take part in shaping the mobility of the future and get a glimpse of the background processes where new vehicles are born from the meeting of content and form.
Powertrain simulation systems
Within the framework of the subject, students can gain insight into the sizing and tuning of thermodynamic processes in internal combustion engines using simulation tools. In addition, the modeling covers the entire drive chain, and by the end of the semester, a detailed longitudinal vehicle model can be examined in different driving cycles. The design takes place in a GT-Suite environment, which is one of the market-leading vehicle component modeling software widely used in the industry today. To complete the subject, a thermodynamic sizing of a suction motor must be performed, but instead, any other modeling task that may be related to a dissertation, diploma design, or participation in a scientific student conference may be chosen.
Who do we recommend it to?
- Those who are interested in the possibilities of a modern simulation system.
- Those who are interested in internal combustion engines and their tuning capabilities on a scientific basis.
- Those who are interested in advanced powertrain development directions such as hybrid or electric vehicles
Noise, Vibration and Harshness of Vehicles
With the spread of electromobility, the sounds and vibrations generated by vehicles are also changing, posing new challenges for car manufacturers and suppliers. The basics of NVH (noise, vibration, harshness), acoustics, vibration and vehicle comfort will be introduced in cooperation with our industrial partners, Bosch, Rotec and AUDI.
We present the basic measurements in the laboratories with modern instruments and a wide range of equipment and explain the background of the numerical tasks of the topic.
During the completion of the course, it is possible to get involved in the research carried out in the department, to prepare a TDK dissertation, and to do an internship in cooperation with our industrial partners.
According to the curriculum, the subject closes with a practical mark at the end of the semester, which is determined on the basis of participation in measurement exercises and protocols, as well as 2 midterm exams.
PythonAI – Python from the basics to artificial intelligence (BMEKOGG8511)
This course covers the basics of Python programming, from the basics to more complex tasks such as machine learning or deep learning. Other areas of focus include object-oriented programming or the creation of multithreaded code! All of these are experiences that can be used in the world of industry, to the benefit of any graduate engineer!
The aim of the course is to provide hands-on experience through laboratory sessions, examples and homework assignments to give you the opportunity to acquire the knowledge in depth. The sessions will cover automotive tasks such as processing Lidar point clouds or handling other data sets.
AIAuto – AI in Automotive Applications
The sessions will cover a range of examples from deep learning, through sensory fusion, to behavior design. Within the framework of the course, everyone has the opportunity to create their own self-driving vehicle, which they can test in a home competition at the end of the semester!
A basic knowledge of Python is required, which we recommend the PythonAI course to learn!
