Mathematical Principles of AI - Study guide

This course unit is part of the master's degree's curriculum. Completion of the course requires master's study entitlement.

When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

This course implementation has lessons every week. The lessons include relevant mathematical principles and the use of Python in calculations. Some of the lessons are intended to the guidance of course assignments. In particular, for each course assignment before the submission date there is an associated lecture.

The course implementation welcomes independent study of topics, e.g. by means of examples in the course material, within the framework of the Haaga-Helia University of Applied Sciences' guidelines.

No previous experience in coding is required.

Lili Aunimo

The learning material is mainly distributed through the Moodle learning environment. The course brings together key mathematical concepts related to the applications of AI. It also provides tools for applied analytics research and thesis work. Such issues are constantly evolving and the course will make use of material produced by the course teachers and otherwise up-to-date material.

The course implementations are designed for students who are about to enter work life or are already working there. The course content takes into account the content used in the field.

Pasila Campus

The exam will be held at the end of the course on a date to be mutually agreed upon participants during the course. The date of the re-examination will also be agreed together during the implementation.

In all exams and retakes participant must be present in Pasila, where the identity of the examiner will be verified.

In the case of examinations, the participant has restricted access to some materials and coding environment. It is therefore not possible to conduct the test as in electronic exam facilities (Exam).

English

Mathematical and methodological skills are international skills.

19.01.2026 - 15.05.2026

The topics presented in the course lectures are learned by doing related exercises. Assignments will be returned regularly throughout the course. The learning tasks will practice the use of applications of mathematical concepts and their calculation using the Python programming language.

The course has weekly lessons according to the timetable. A detailed weekly timetable will be made available on the Moodle learning environment if the Programme Director of Master Studies decides to starts this implementation. The timetable for the returnable learning assignments will follow the lecture timetable.

MAAIBUME
CONTACT

There are no shortcuts to learning, and doing the work is essential. Other ways to get your grade in the Haaga-Helia University of Applied Sciences' register of credits should be inquired from the teacher responsible for the course.

Juha Nurmonen, Toni Ernvall

15 - 30

The learning assignments account for 40% of the final grade and the exam for 60%.

AIBUM Degree Programme in AI for Business Transformation

0.00 cr

H-5