CodeRoom makes programming examples, data analysis, and visualization directly experienceable in the browser. Students do not just passively follow the code but try it out themselves during the lecture.
Code Room is a browser-based programming environment for universities – ideal for lectures, exercises, and live demos when students work with tablets, laptops, or changing devices.
Instead of wasting time on installations, IDE problems, and different systems, students start directly in the browser. Code, explanation, and output are located in a common interface.
Whether Python, Java, data analysis, visualization, graphs, simulations, UML modeling, or Excel reports: Code Room makes programming during the event immediately tangible.
In many lectures, code is demonstrated but not directly tried out. Students see examples on the screen, but due to missing development environment, tablet use, or installation problems, they cannot actively participate.
That's where Code Room comes in: The programming environment runs completely in the browser. Students can immediately execute, modify, and understand examples from the lecture – without local setup.
CodeRoom is particularly suitable for lectures where code is not only explained, but also directly tried out:
This turns a demonstration into an active working phase – even in large events.
With the integrated UML designer, you connect modeling and programming in a continuous learning environment.
So wird aus abstrakter Modellierung ein direkt erfahrbarer Teil der Programmierlehre.
Pandas, NumPy, Matplotlib and Plotly enable practical data analysis directly during the lecture – from CSV data to interactive diagrams.
With NetworkX or JGraphT, graphs, networks, shortest paths, and search methods can be didactically demonstrated.
With openpyxl or Apache POI, students can automatically create Excel reports – ideal for economics, engineering, and data analytics.
Numerical methods, differential equations, Monte Carlo methods, or scientific models become directly calculable and visualizable.
Create class diagrams, understand relationships, and generate code directly – ideal for object-oriented programming and software engineering.
Whether it's a single lecture, pilot project, or department-wide implementation – find suitable options for universities on the prices page.
CodeRoom combines didactic curriculum with server-side execution and powerful libraries. This allows universities to not only teach basics, but also show realistic applications in data analysis, visualization, simulation, reporting, and science.
Ideal for data analysis, scientific computing, visualization, machine learning, and interactive lecture demos.
Suitable for computer science basics, object-oriented modeling, algorithms, data processing, and robust applications.
A elegant and productive language for automation, data processing, web communication, and compact applications.
Teachers can work with Python, Java, or Ruby for each course without local installations and directly usable libraries in the browser.
CodeRoom can be used with finished course series, lesson templates, and compact live demos. Teachers do not start from scratch but use prepared content that they can adapt as needed.
Introduction to Java programming with variables, conditions, methods, loops, arrays, and object-oriented programming.
View courseEntry into Python with data types, control structures, functions, lists, and object-oriented concepts.
View courseData processing, measurement data, simulations, NumPy, Pandas, Matplotlib, and scientific workflows.
View courseCreate class diagrams, model relationships, and automatically transfer them to Java-, Python- or Ruby-code.
View courseKPIs, CSV data, visualizations, regressions, forecasts, and business analytics.
View courseRandomness, simulation, risk analysis, Value-at-Risk, and statistical evaluation with Python.
View courseEuler method, RK4, predator-prey models, stability, and scientific visualization.
View courseFor the university landing page, some compact templates are also suitable that specifically show modern libraries and typical lecture situations.
These templates do not have to be complete semester courses. Even compact live demos with clear tasks are sufficient to show the added value to universities.
CodeRoom can integrate KI functions directly into the learning environment – without students having to open external chats.
This is not how AI becomes an uncontrolled shortcut, but rather a didactically integrated tool.
The best demo is not a general product walkthrough, but a concrete scenario from your teaching.
We can build a sample lecture situation together – for example, data analysis with Python, graph algorithms with Java, Excel reporting, or an interactive simulation.
You will see immediately how CodeRoom can be used in your event.
CodeRoom can be prepared for individual courses, departments, or university-wide scenarios. We support the selection of suitable templates, adapting to existing content, and technical introduction.
