Data Handling and Machine Learning (5 cr)

Code: TX00DZ36-3007

General information

Enrollment: 02.05.2023 - 18.10.2023
Registration for the implementation has ended.

Timing: 23.10.2023 - 17.12.2023
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Mode of delivery: On-campus

Unit: (2019-2024) School of ICT

Campus: Myllypurontie 1

Teaching languages: Finnish

Seats: 0 - 35

Degree programmes: Information and Communication Technology

Teachers: Juha Kopu; Vesa Ollikainen

Course: TX00DZ36

Implementation has 14 reservations. Total duration of reservations is 42 h 0 min.

Time	Topic	Location
Thu 26.10.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Fri 27.10.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 02.11.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPC5014 Oppimistila
Fri 03.11.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 09.11.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Fri 10.11.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 16.11.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Fri 17.11.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 23.11.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Fri 24.11.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 30.11.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 07.12.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila
Thu 14.12.2023 time 09:00 - 12:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	Zoom
Fri 15.12.2023 time 13:00 - 16:00 (3 h 0 min)	Datan käsittely ja koneoppiminen TX00DZ36-3007	MPA5027 Oppimistila

Changes to reservations may be possible.

Objective

After completion of the course, the student understands the possibilities in data handling, modelling and, particularly, machine learning. The course participants have acquired hands-on experience in data storage, retrieval, and manipulation as well as the methods and tools in machine learning.

Content

- Large volumes of data in ICT business: applicability, models, opportunities, and processes, legislative and ethical constraints.
- Data acquisition and preprocessing.
- Data management solutions.
- Machine learning methods (classification, association analysis, clustering, prediction of numeric values) , their fields of use and applicability.
- Machine learning software.
- Validation and visualisation of results.
- Machine learning in natural language processing.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.