Data Analysis with PythonLaajuus (10 op)
Tunnus: TT00EX21
Laajuus
10 op
Opetuskieli
- englanti
Osaamistavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2024 - 31.12.2027
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 10000
Koulutus
- Degree Programme in Information Technology
Opettaja
- Janne Salonen
Ryhmät
-
IT_path_180_ectsInformation Technology, Open path 180 ECTS
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2024 - 31.07.2024
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Degree Programme in Information Technology
Opettaja
- Janne Salonen
Vastuuopettaja
Janne Salonen
Ryhmät
-
Viope_nonstop_9Viope_nonstop_9
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2024 - 31.07.2024
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Opettaja
- Janne Salonen
Vastuuopettaja
Janne Salonen
Ryhmät
-
Viope_nonstop_11Viope_nonstop_11
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2024 - 31.07.2024
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Degree Programme in Information Technology
Opettaja
- Janne Salonen
Vastuuopettaja
Janne Salonen
Ryhmät
-
VIOPE_NonStop6VIOPE_NonStop6
-
ATX23TV_KEVÄTATX23TV_KEVÄT
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.08.2023 - 31.07.2024
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Opettaja
- Janne Salonen
Vastuuopettaja
Janne Salonen
Ryhmät
-
Viope_nonstop_12Viope_nonstop_12
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
31.12.2022 - 31.12.2023
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Opettaja
- Janne Salonen
Ryhmät
-
ATX22TVSAvoin amk: NonStop kevät 2022
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2022 - 31.12.2022
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Opettaja
- Janne Salonen
Ryhmät
-
ATX22TVNonStop virtuaaliopinnot vuosi 2022
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Ajoitus
01.01.2022 - 31.12.2022
Opintopistemäärä
10 op
Virtuaaliosuus
10 op
Toteutustapa
Etäopetus
Yksikkö
ICT ja tuotantotalous
Toimipiste
Karaportti 2
Opetuskielet
- Englanti
Paikat
0 - 1000
Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
Opettaja
- Janne Salonen
Ryhmät
-
ATX22TVKAvoin amk: NonStop kevät 2022
Tavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Aika ja paikka
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Oppimateriaalit
Online in study environments Metropolia's Viope and Moodle.
Opetusmenetelmät
Course is 100% online (self-study) course which can be done in own pace.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
Depends on the student's baseline.
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. 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 study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointimenetelmät ja arvioinnin perusteet
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.