Higher Education

Elevate learning outcomes and design coding courses for universities and colleges effortlessly with CodeGrade!
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The University of Edinburgh logo
ILERNA Online logo
The University of Edinburgh logo
The University of Edinburgh logo
The University of Edinburgh logo
ILERNA Online logo
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How we help your department

Computer Science departments

CodeGrade is an essential tool for teaching coding skills to computer science majors.  Our user-friendly platform caters to diverse coding proficiency levels. The adaptable autograder is advantageous to both introductory and advanced coding courses, streamlining the learning experience and providing support for instructors. Besides this, CodeGrade also offers a seamless integration with systems like Git, granting students valuable experience in industry-standard practices.
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Data Science degrees

CodeGrade's autograder supports Jupyter Notebooks and R, making it a valuable resource for data science courses. Our platform can even handle resource-intensive machine learning courses.

Modernize your coding assessment

"With CodeGrade, I could make the switch in my course to having no final exams at all and provide continuous assessment to my students."
- Volker Seeker, Lecturer, The University of Edinburgh

Engineering

CodeGrade significantly enhances the learning journey for Engineering students where coding plays a supportive role. Students have the flexibility to tackle assignments at their own pace, enabling them to practice and master their coding skills according to their learning objectives.

Business Schools

CodeGrade helps your business students learn the basics of coding and problem-solving for success in data-driven industries. It simplifies grading for instructors and offers ready-made assignments to improve coding skills.

Give your students a dynamic learning environment

"If something is wrong, students can change it right there in CodeGrade. It's a time saver, and it avoids the frustration of having to download and upload a file. With anything having to do with coding, the more dynamic the better, so if they can see their progress with even minor adjustments, that's helpful for their learning."
- Carey Baldwin, Lecturer, Isenberg School of Management, University of Massachusetts, Amherst

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