General Information
Lateksii ry is the guild for students of computational engineering at Lappeenranta-Lahti University of Technology. The purpose of Lateksii is to advocate for the interests of computational engineering students, improve education at Lappeenranta-Lahti University of Technology, and organize various events.
We are actively involved in promoting the interests of our members and improving the quality and content of education, for example by collecting course feedback from all courses in the study program.
What is Computational Engineering?
Computational engineering is a new field of science that studies phenomena and solves problems through simulation, modeling, and visualization. Computational engineering provides tools to investigate phenomena and solve problems that were previously impossible, expensive, or even dangerous to study experimentally or through theoretical analysis.
During your studies, you will dive deep into mathematics and computer science, as well as explore the world of artificial intelligence and machine learning. You will learn to handle large datasets and use a variety of computational methods. Additionally, you will learn to model, assess the uncertainty of models, and perform statistical analysis on data – and if necessary, you can even leverage supercomputers for calculations. Your mathematical skills will expand as you progress in your studies, and you will gain the ability to solve mathematical problems and program their solutions as algorithms.
Applications of Computational Engineering
Computational engineering is suitable for studying almost any phenomenon or system. Here are some examples of potential applications:
- Weather: More accurate weather forecasts, climate modeling.
- Urban and Traffic Planning: The impact of road and city changes on human behavior.
- Medicine: Spread of diseases and viruses within populations.
- Physics: Researching and modeling elementary particles.
- Astrophysics: Predicting physical phenomena in planets and galaxies.
- Information Technology: Simulating semiconductor components, designing new computers.
- Safety: Simulating natural disasters and various emergency situations.
- Machine Learning and Artificial Intelligence: Developing intelligent systems, for example in robotics or medical diagnostics.
- Computer Vision: Self-driving cars, automatic quality inspection of products on industrial production lines.