About me

My name is Eva Maria Kiss, and my teaching and research at the University of Applied Sciences Kaiserslautern focuses on database systems, machine learning, numerical methods and underlying models and algorithms. This website features informations about my current courses and additional learning materials such as tutorials and quizzes, that can be used for self-study and fun.

University of Applied Sciences Kaiserslautern

The Department of Applied Engineering (AING) offers students the opportunity to pursue an exceptional, high quality education in the largest electrical and mechanical engineering department in Rhineland-Palatinate.

Courses, Tutorials and Quizzes

Courses that I currently teach include Algorithms (Sorting, Search, Linked Lists, Hashing, Trees, Graphs, using Java), Numerical Methods (Modeling, Differentiation, Integration, ODEs, PDEs), Database Systems (Architecture, Functionality, Relational Data Model, Entity Relationship, SQL) and Introduction to Programming (using C as first language).

Courses at Master's level do not have formal prerequisites, but basic programming skills are essential. On this website you find Tutorials and Quizzes intended to support self-study and exam preparations.

In order to attend Numerical Methods successfully, you need to know MATLAB fundamentals, which are part of the curriculum in engineering programmes at Bachelor level at University Kaiserslautern. The online MATLAB Tutorial from this website gives a brief introduction to the MATLAB language using as environment MATLAB 2020. Basic MATLAB syntax (variables, operators, input, output, arrays, matrices, functions, plotting) is illustrated using small examples that are saved as MATLAB scripts, for example test_hello.m, test_output.m. The examples will also run in the open source software Octave. After completing this tutorial, you can take the MATLAB Quiz to test your MATLAB fundamentals.

Students should sign up for a course on the E-Learning platform OpenOLAT, where they will find additional material for download.


Talk series STUDIUM & BERUF

On 02.03.2021, high school students attended online via BigBlueButton the web-event STUDIUM & BERUF, where they were informed about the courses on offer at the University of Applied Sciences Kaiserslautern. Here you can download the presentation from this year, (in German) with details about our Electrical Engineering program.

New image trailer: "AING 2021"

Our department has a shiny new image trailer (in German). Starting at 00:49, you can see some of the ongoing projects and labs of the department, such as roboters, drones and high voltage lab. The persons in the trailer are not really our professors and students, since currently it is difficult to film on site. You can look up the original faces on our website.


elab2go - Mobile Engineering Lab is an online platform for demonstrators showcasing new technologies and trends. Current demonstrators and tutorials explain basics concepts and methods of Applied Machine Learning, Predictive Maintenance, and Internet of Things. For example, an IoT demo Sensor Data shows how a network of microcontrollers and sensors send temperature measurements to a webserver, where the data are stored in a database and displayed on a live website.

The series of demonstrators and tutorials Demo-PYx introduces to models and algorithms of Machine Learning, e.g. Decision Trees, Cluster Analysis, Artificial Neural Networks) by using Python as programming language, the Python-packages for data analysis Pandas, Scikit-Learn, Keras, Tensorflow, and Jupyter Notebook or Google Colab as web-based IDE.

Another series of demonstrators explain the idea underlying Predictive Maintenance and the steps of the process on an automotive dataset. The data analysis is carried out with a decision tree as predictive data model, using different tools (R, Python, MATLAB, RapidMiner).