Working with AILaajuus (2 cr)

Learning objectives

The student will have a general understanding of the tools and methods enabled by artificial intelligence to improve efficiency and achieve better results in working life. They also know and can experimentally apply new ways of using AI enabled by the latest developments in AI.

Contents

An overview of the applications of different AI techniques. Company examples. The main new tools of AI to improve operational efficiency. Focus on the areas that have evolved most in recent years, such as generative AI and intelligent automation.

Starting level and linkage with other courses

No pre-requisites.

Implementation methods, demonstration and Work&Study

The implementation is virtual. The course can be integrated to own work by applying the methods presented in lectures and exercises to experiments to improve the efficiency of your own work.

Assessment criteria - grade 1

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.

Assessment criteria, approved/failed

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.

The course will be marked Pass/Fail.

50% of the marks for the exercises are required for an approved result.

Learning materials

Material to be given in lectures. During the course, students will apply several generative and traditional AI tools and software to solve problems.