FF:PLIN069 Applied ML Project - Course Information
PLIN069 Applied Machine Learning Project
Faculty of ArtsSpring 2025
- Extent and Intensity
- 0/0/4. 6 credit(s). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- Mgr. Marek Grác, Ph.D. (lecturer), Mgr. Dana Hlaváčková, Ph.D. (deputy)
Mgr. Richard Holaj, Ph.D. (lecturer) - Guaranteed by
- Mgr. Richard Holaj, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites (in Czech)
- NOW( PLIN068 Applied ML )
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15, only registered with preference (fields directly associated with the programme): 0/15 - fields of study / plans the course is directly associated with
- there are 7 fields of study the course is directly associated with, display
- Course objectives
- This course will help students to gain practical experience with current ML solutions and technologies through an involvement in a supervised project. The main areas of projects are NLP, image processing and time series forecasting.
- Learning outcomes
- Student will be able to apply relevant techniques in ML/AI. Student will have the basic knowledge of applying ML/AI in problems where structured data, free text, images or time series forecasting is usable. Student will know how to qualitatively evaluate results using existing metrics.
- Syllabus
- Overview of key notions
- Setting up project topics
- Project realization
- Final student presentation
- Teaching methods
- Group projects, homework
- Assessment methods
- Final project and its presentation.
- Language of instruction
- English
- Further Comments
- The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
- Enrolment Statistics (Spring 2025, recent)
- Permalink: https://is.muni.cz/course/phil/spring2025/PLIN069