Tilastot ja todennäköisyysLaajuus (3 op)
Tunnus: TZVM6300
Laajuus
3 op
Opetuskieli
- suomi
- englanti
Vastuuhenkilö
- Ida Arhosalo
Osaamistavoitteet
Opintojakson tarkoitus
Opintojaksolla opit käsittelemään ja analysoimaan tilastollista aineistoa työelämässä eteesi tulevien päätöksien pohjaksi. Opit laskemaan eri vaihtoehtojen mahdollisuuksia tai riskejä ja tutkimaan aineistossa esiintyvää tilastollista riippuvuutta.
Opintojakson osaamiset
Tieto ja ymmärrys (EUR-ACE KN)
Opintojakson osaamistavoite
Tunnet todennäköisyyslaskennan ja tilastomatematiikan peruskäsitteet ja -menetelmät. Osaat analysoida ja havainnollistaa tilastollista tietoa, tehdä ennusteita ja selvittää tilastollisia syy-yhteyksiä. Osaat laskea tapahtumille todennäköisyyksiä ja arvioida riskiä. Tunnet satunnaismuuttujia, niiden jakaumia ja odotusarvon. Osaat käyttää Exceliä sovelluksissa.
Sisältö
Tilastollisen aineiston kuvaaminen
Todennäköisyyslaskennan perusteet
Satunnaismuuttujien jakaumat
Lineaarinen regressio ja korrelaatio
Excelin käyttö sovelluksissa
Esitietovaatimukset
Taulukkolaskentaohjelman peruskäyttö
Arviointikriteerit, tyydyttävä (1)
Välttävä 1
Olet saavuttanut tavoitellut osaamiset. Tunnet joitakin käsitteitä ja menetelmiä ja osaat soveltaa niitä itsellesi tutuissa tilanteissa, mutta usein päättelysi on puutteellista ja laskelmasi virheellisiä.
Tyydyttävä 2
Olet saavuttanut tavoitellut osaamiset. Tunnet useita käsitteitä ja menetelmiä ja osaat soveltaa niitä itsellesi tutuissa tilanteissa, mutta joskus päättelysi on puutteellista tai laskelmasi virheellisiä.
Arviointikriteerit, hyvä (3)
Hyvä 3
Olet saavuttanut tavoitellut osaamiset. Tunnet lähes kaikki käsitteet ja menetelmät ja osaat soveltaa niitä itsellesi tutuissa tilanteissa usein täydellisesti päätellen ja virheettömästi laskien.
Kiitettävä 4
Olet saavuttanut tavoitellut osaamiset. Tunnet lähes kaikki käsitteet ja menetelmät ja osaat soveltaa niitä myös itsellesi uusissa tilanteissa lähes aina täydellisesti päätellen ja virheettömästi laskien.
Arviointikriteerit, kiitettävä (5)
Erinomainen 5
Olet saavuttanut tavoitellut osaamiset. Tunnet kaikki käsitteet ja menetelmät ja osaat soveltaa niitä itsellesi uusissa tilanteissa asioita yhdistellen, täydellisesti päätellen ja virheettömästi laskien.
Enrollment
20.11.2023 - 14.01.2024
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Ida Arhosalo
Groups
-
TLP22S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
-
TLP23VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
-
TLP24VKBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Objective
The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.
Course competences
Knowledge and understanding (EUR-CE KN)
Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.
Content
Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications
Location and time
Lextue/Exercise session 90min / week during weeks 3-14, Exam on week 15
Oppimateriaali ja suositeltava kirjallisuus
Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro
Teaching methods
Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.
Exam schedules
The time of the Exam is informed on the first lesson.
Student workload
Lessons approx 20h, Homework and independent studying 60h
Further information
Exam 80-90%
Homework10-20%
Evaluation scale
0-5
Arviointikriteerit, tyydyttävä (1-2)
Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.
Arviointikriteerit, hyvä (3-4)
Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.
Assessment criteria, excellent (5)
Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.
Qualifications
Basic use of spreadsheets
Enrollment
01.11.2022 - 05.01.2023
Timing
09.01.2023 - 19.05.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Ida Arhosalo
Teacher in charge
Ida Arhosalo
Groups
-
TLP23VKBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
-
TLP22VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
-
TLP21S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
Objective
The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.
Course competences
Knowledge and understanding (EUR-CE KN)
Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.
Content
Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications
Location and time
Lextue/Exercise session 90min / week during weeks 2-14
Exam on week 15
Oppimateriaali ja suositeltava kirjallisuus
Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro
Teaching methods
Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.
Exam schedules
Exam on week 15.
Student workload
Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h
Further information
Exam 80-90%
Homework, group assignments 10-20%
Evaluation scale
0-5
Arviointikriteerit, tyydyttävä (1-2)
Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.
Arviointikriteerit, hyvä (3-4)
Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.
Assessment criteria, excellent (5)
Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.
Qualifications
Basic use of spreadsheets
Enrollment
01.11.2021 - 23.01.2022
Timing
07.03.2022 - 29.04.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Ida Arhosalo
Teacher in charge
Ida Arhosalo
Groups
-
TLP20S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
-
TLP21VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
-
TLP22VKBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Objective
The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.
Course competences
Knowledge and understanding (EUR-CE KN)
Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.
Content
Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications
Location and time
Lextue/Exercise session 2* 1,5h / week during weeks 10-15
Exam on week 16
Oppimateriaali ja suositeltava kirjallisuus
Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro
Teaching methods
Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.
Exam schedules
Exam on week 16. Resits in Exam studio during May.
Student workload
Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h
Further information
Exam 80-90%
Homework, group assignments 10-20%
Evaluation scale
0-5
Arviointikriteerit, tyydyttävä (1-2)
Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.
Arviointikriteerit, hyvä (3-4)
Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.
Assessment criteria, excellent (5)
Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.
Qualifications
Basic use of spreadsheets