Programming and digital technology at HTX

Digital technology is no longer a niche field at HTX — it is a cornerstone. Whether you choose a programming-heavy study direction or simply encounter informatics as a mandatory subject you learn to think algorithmically and build solutions a computer can execute.

An algorithm is a precise recipe for solving a problem step by step. Thinking algorithmically means breaking a large problem down into smaller, well-defined parts, each of which can be solved unambiguously. It is a way of thinking that is useful far beyond programming itself.

• 01Break down the problem into smaller sub-steps
• 02Describe each step so precisely that there is no doubt about the execution
• 03Find patterns that repeat and reuse them
• 04Think about what could go wrong and how the solution handles it

Almost all programming languages share some basic building blocks. If you understand them, you can more easily learn new languages later, because they appear in different disguises everywhere.

Much of programming is about working with data and finding errors. Errors are not a failure — they are an inevitable part of the work. Good programmers are not those who never make mistakes, but those who are good at systematically finding and fixing them.

Systematic troubleshooting

• 01Recreate the error so you can see it happen reliably
• 02Narrow down where in the code the error occurs
• 03Check your assumptions — they often fail
• 04Correct one thing at a time and test after each change

On HTX, programming rarely stands alone. You use digital tools to process measurement data from the laboratory, to control physical systems in technical subjects, and to model relationships in mathematics. When code meets the other subjects, it becomes a tool to solve real technical problems — and that is precisely where HTX is strongest.

“Programming is learning to think clearly: the machine does exactly what you say — not what you mean.”