StatisticsLaajuus (3 op)
Tunnus: 5N00EK29
Laajuus
3 op
Osaamistavoitteet
After completing this course students are able to use the basic statistical methods (calculate statistical values, use graphs in describing scientific phenomena, test hypothesis) in data analysis.
Sisältö
Statistical charts and numbers, probability, regression and correlation, hypothesis testing.
Esitietovaatimukset
Student needs to have basic skills in using Microsoft Excel or some other similar kind of software. Student should also have completed Functions and Matrices and Integral Calculus courses or courses that cover the contents fo the two aforementioned courses before taking this course.
Arviointikriteerit, tyydyttävä (1-2)
Student understands and is able to name and define the basic concepts.
Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.
Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.
Arviointikriteerit, hyvä (3-4)
Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.
Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.
Student can give and receive feedback actively and contructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.
Arviointikriteerit, kiitettävä (5)
Student is able to understand extensive entities and relation between them. Student is able to generalise, analyse and related the advanced problems to the professional context.
Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.
Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.
Ilmoittautumisaika
02.07.2024 - 31.08.2024
Ajoitus
01.08.2024 - 23.10.2024
Laajuus
3 op
Toteutustapa
Lähiopetus
Yksikkö
TAMK Matematiikka ja fysiikka
Opetuskielet
- Englanti
Koulutus
- Bachelor's Degree Programme in Environmental Engineering
- Avoin ammattikorkeakoulu
Opettaja
- Jukka Suominen
Vastuuhenkilö
Miika Huikkola
Tavoitteet (OJ)
After completing this course students are able to use the basic statistical methods (calculate statistical values, use graphs in describing scientific phenomena, test hypothesis) in data analysis.
Sisältö (OJ)
Statistical charts and numbers, probability, regression and correlation, hypothesis testing.
Esitietovaatimukset (OJ)
Student needs to have basic skills in using Microsoft Excel or some other similar kind of software. Student should also have completed Functions and Matrices and Integral Calculus courses or courses that cover the contents fo the two aforementioned courses before taking this course.
Arviointikriteerit, tyydyttävä (1-2) (OJ)
Student understands and is able to name and define the basic concepts.
Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.
Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.
Arviointikriteerit, hyvä (3-4) (OJ)
Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.
Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.
Student can give and receive feedback actively and contructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.
Arviointikriteerit, kiitettävä (5) (OJ)
Student is able to understand extensive entities and relation between them. Student is able to generalise, analyse and related the advanced problems to the professional context.
Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.
Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.
Arviointiasteikko
0-5
Ilmoittautumisaika
02.07.2023 - 31.07.2023
Ajoitus
01.08.2023 - 22.10.2023
Laajuus
3 op
Toteutustapa
Lähiopetus
Yksikkö
Matematiikka
Toimipiste
TAMK Pääkampus
Opetuskielet
- Englanti
Koulutus
- Bachelor's Degree Programme in Environmental Engineering
- Avoin ammattikorkeakoulu
Opettaja
- Miika Huikkola
Vastuuhenkilö
Miika Huikkola
Ryhmät
-
22IENVEDegree Programme in Environmental Engineering
Tavoitteet (OJ)
After completing this course students are able to use the basic statistical methods (calculate statistical values, use graphs in describing scientific phenomena, test hypothesis) in data analysis.
Sisältö (OJ)
Statistical charts and numbers, probability, regression and correlation, hypothesis testing.
Esitietovaatimukset (OJ)
Student needs to have basic skills in using Microsoft Excel or some other similar kind of software. Student should also have completed Functions and Matrices and Integral Calculus courses or courses that cover the contents fo the two aforementioned courses before taking this course.
Arviointikriteerit, tyydyttävä (1-2) (OJ)
Student understands and is able to name and define the basic concepts.
Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.
Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.
Arviointikriteerit, hyvä (3-4) (OJ)
Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.
Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.
Student can give and receive feedback actively and contructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.
Arviointikriteerit, kiitettävä (5) (OJ)
Student is able to understand extensive entities and relation between them. Student is able to generalise, analyse and related the advanced problems to the professional context.
Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.
Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.
Aika ja paikka
Period 1, on Thursdays between 14-17 in B2-35
Arviointiasteikko
0-5
Opiskelumuodot ja opetusmenetelmät
Chosen from the following based on teacher's pedagogical evaluation: Contact teaching, Remote teaching, Independent learning, Lesson excercises, Homework, Problem-based learning, Collaborative learninng, Group work, Excercise assignments, Question-based teaching, Question-based learning, PC-excercises, Exams
Oppimateriaalit
Provided in Moodle
Sisällön jaksotus
This course implementation is held in connection of course 5M00FX80-3001 Statistics and Machine Learning
Period 1
-Use of software in statistics
-Basic statistical measures & methods
-Hypothesis testing
Period 2
-Retake exams
Toteutuksen valinnaiset suoritustavat
To be negotiated with teacher. Teacher is not obliged to grant an alternative way of execution
Ilmoittautumisaika
01.07.2022 - 31.08.2022
Ajoitus
01.09.2022 - 31.12.2022
Laajuus
3 op
Toteutustapa
Lähiopetus
Yksikkö
TAMK Matematiikka ja fysiikka
Toimipiste
TAMK Pääkampus
Opetuskielet
- Englanti
Koulutus
- Bachelor's Degree Programme in Environmental Engineering
- Avoin ammattikorkeakoulu
Opettaja
- Jukka Suominen
Vastuuhenkilö
Jukka Suominen
Ryhmät
-
21IENVEDegree Programme in Environmental Engineering
Tavoitteet (OJ)
After completing this course students are able to use the basic statistical methods (calculate statistical values, use graphs in describing scientific phenomena, test hypothesis) in data analysis.
Sisältö (OJ)
Statistical charts and numbers, probability, regression and correlation, hypothesis testing.
Esitietovaatimukset (OJ)
Student needs to have basic skills in using Microsoft Excel or some other similar kind of software. Student should also have completed Functions and Matrices and Integral Calculus courses or courses that cover the contents fo the two aforementioned courses before taking this course.
Arviointikriteerit, tyydyttävä (1-2) (OJ)
Student understands and is able to name and define the basic concepts.
Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.
Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.
Arviointikriteerit, hyvä (3-4) (OJ)
Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.
Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.
Student can give and receive feedback actively and contructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.
Arviointikriteerit, kiitettävä (5) (OJ)
Student is able to understand extensive entities and relation between them. Student is able to generalise, analyse and related the advanced problems to the professional context.
Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.
Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.
Arviointiasteikko
0-5