Siirry suoraan sisältöön

Tekoäly ja koneoppiminen liiketoiminta-asiantuntijalle (5 cr)

Code: TU00DR41-3001

General information


Enrollment

01.05.2019 - 25.08.2019

Timing

26.08.2019 - 20.10.2019

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

(2014-2015) Toiminnanohjaus, osaamisalue

Campus

Leiritie 1

Teaching languages

  • English

Degree programmes

  • Tuotantotalouden tutkinto-ohjelma

Teachers

  • Peter Hjort

Groups

  • TXQ16LOG
    Tuotantotalous, Logistiikka
  • TXQ16ICT
    Tuotantotalous, ICT-liiketoiminta
  • TXQ16S1
    Tuotantotalouden tutkinto-ohjelma
  • TXQ17SCM
    Tuotantotalous, Toiminnan johtaminen
  • TXQ17ICT
    Tuotantotalous, ICT-liiketoiminta
  • TXQ17S1
    Tuotantotalouden tutkinto-ohjelma
  • TXQ16PROS
    Tuotantotalous, Teollisuuden prosessit

Objective

The students ability to understand Artificial Intelligence and Machine Learning is developed . The student's potential to work with analytics and reporting tasks are improved.

Content

TBD

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s central concepts, models and is able to utilize the most common tools. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

Students have achieved the course objectives well, even though the knowledge and skills need improvement in some areas. Students know the course concepts and models well and are able to justify their decisions. The students are able to apply their knowledge in new situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise and areas requiring further development.

Assessment criteria, excellent (5)

Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts, models and tools. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in new situations. Students are able to analyze the business sector expertise and the evolvement of their own expertise.

Assessment criteria, approved/failed

Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s central concepts, models and is able to utilize the most common tools. The student understands the criteria and principles of the expertise development.

Qualifications

- Basics of Python Programming
- Data management