AXIOVUM
Create account

Language

Continue on this page in your preferred language.

Settings

Adjust this browser’s reading experience. Changes take effect immediately.

Language
Privacy informationRead how AXIOVUM uses and retains information.Help with learningFind your way around courses and the learning workspace.

Courses

Compare 20 courses for 2026–27. Each course page lists the syllabus, prerequisites, recommended books and reading access.

Account registration is open with limited places. Eligible accounts can use introductory AI text learning. Full course enrolment and paid membership are not open yet.

Materials language: English

2026–27 course map (20 courses)

Browse AXIOVUM courses by topic and level.

Open a course for its outline, aims and recommended books.

Codes, names, cycles, estimated hours and detail links for 20 AXIOVUM courses
Course Code Cycle Estimated study hours Course detail
Linear Algebra AX26-MATH-101 Undergraduate level 150 View syllabus and current access
Statistical Inference AX26-STAT-201 Undergraduate level 200 View syllabus and current access
Algorithm Design AX26-CS-101 Undergraduate level 150 View syllabus and current access
Supervised Learning AX26-AI-101 Undergraduate level 150 View syllabus and current access
Approximation and Randomised Algorithms AX26-CS-201 Undergraduate level 200 View syllabus and current access
Real Analysis AX26-MATH-102 Undergraduate level 150 View syllabus and current access
Probability AX26-STAT-101 Undergraduate level 150 View syllabus and current access
Discrete Mathematics and Proofs AX26-MATH-103 Undergraduate level 100 View syllabus and current access
Groups AX26-MATH-104 Undergraduate level 100 View syllabus and current access
Introductory Calculus AX26-MATH-105 Undergraduate level 150 View syllabus and current access
Probabilistic Combinatorics AX26-STAT-301 Postgraduate level 150 View syllabus and current access
Combinatorics AX26-MATH-301 Postgraduate level 150 View syllabus and current access
Numerical Linear Algebra AX26-MATH-302 Postgraduate level 150 View syllabus and current access
Fourier Analysis AX26-MATH-303 Postgraduate level 150 View syllabus and current access
Stochastic Differential Equations AX26-STAT-302 Postgraduate level 150 View syllabus and current access
Model Theory AX26-MATH-304 Postgraduate level 150 View syllabus and current access
Algebraic Topology AX26-MATH-305 Postgraduate level 150 View syllabus and current access
Further Functional Analysis AX26-MATH-306 Postgraduate level 150 View syllabus and current access
Theories of Deep Learning AX26-AI-301 Postgraduate level 150 View syllabus and current access
Category Theory AX26-MATH-307 Postgraduate level 100 View syllabus and current access

Other learning routes

These four earlier topic modules remain available to browse. The 20 courses above are this academic year’s course map.

Select 2 to 4 earlier modules to compare.

Artificial Intelligence

Supervised Learning

How do objectives, training rules and evaluation fit together?

Suggested background Vectors and matrix products · Differentiation · Elementary probability

View course

Mathematics

Linear Algebra

How does geometry explain projection and least squares?

Suggested background Vectors and linear combinations · Elementary differentiation

View course

Statistics

Statistical Inference

What can an estimate tell us, and under which assumptions?

Suggested background Random variables · Expectation and variance · Elementary differentiation

View course

Computer Science

Algorithm Design

How do we prove an algorithm works, and measure its cost?

Suggested background Basic programming · Integer arithmetic · Induction

View course

Sign in to AXIOVUM

IP Geolocation by DB-IP · CC BY 4.0