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Statistics and ProbabilityLaajuus (3 cr)

Code: TZVM6300

Credits

3 op

Teaching language

  • Finnish
  • English

Responsible person

  • Pasi Lehtola
  • Ida Arhosalo

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

Qualifications

Basic use of spreadsheets

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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.

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Ida Arhosalo
Groups
  • UTIVERKKO
    Institute of New Industry, online learning (mechanical, logistics and civil 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

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppukeväällä ja niiden ajankohdat ilmoitetaan työtilassa.

Materials

Material in Moodle
Additional material:
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.

Exam schedules

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

Timing

08.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA22SB
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA22SA
    Sähkö- ja automaatiotekniikka (AMK)

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

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 20.05.2024

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Contact teaching, 66 % Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS22SMM
    Logistiikka - tutkinto-ohjelma (AMK)

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

Tapaamiset monimuotoryhmän aikataulun mukaisesti kevään aikana

Materials

Material in Moodle
Additional material:
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

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
  • Ville Kotimäki
Groups
  • TLS22S1
    Logistiikka - tutkinto-ohjelma (AMK)

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 2-16

Materials

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

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 30h, Homework, group assignments and independent studying 50h

Further information

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

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
  • TLP22S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP23VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP24VK
    Bachelor'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 2-16

Materials

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

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 30h, Homework, group assignments and independent studying 50h

Further information

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

20.11.2023 - 04.01.2024

Timing

01.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TAR22S1
    Bachelor's Degree Programme in Automation and Robotics

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 2-16

Materials

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

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 30h, Homework, group assignments and independent studying 50h

Further information

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Ida Arhosalo
Groups
  • UTIVERKKO
    Institute of New Industry, online learning (mechanical, logistics and civil 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

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppusyksystä ja niiden ajankohdat ilmoitetaan työtilassa.

Materials

Material in Moodle
Additional material:
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.

Exam schedules

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Contact teaching, 66 % Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS22KMM
    Logistiikan tutkinto-ohjelma (AMK)

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

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Materials

Material in Moodle
Additional material:
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

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Contact teaching, 66 % Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 35

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA22KMA
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA22KMB
    Sähkö- ja automaatiotekniikka (AMK)

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

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Materials

Material in Moodle
Additional material:
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

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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 - 30.04.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA21SB
    Sähkö- ja automaatiotekniikka (AMK)

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

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 5

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • LOGRAKVERKKO
    Logistiikan ja rakentamisen verkko-opetus

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

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppukeväällä ja niiden ajankohdat ilmoitetaan työtilassa.

Materials

Material in Moodle
Additional material:
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.

Exam schedules

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Scheduling groups
  • TLS21SA (Size: 35. Open UAS: 0.)
  • TLS21SB (Size: 35. Open UAS: 0.)
Groups
  • TLS21S1
    Logistiikan tutkinto-ohjelma (AMK)
Small groups
  • TLS21SA
  • TLS21SB

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

Lecture (class/stream/recording) 90min / week during weeks 3-14
Exam on week 15

Materials

Material in Moodle
Additional material:
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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

Contact teaching

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
  • TLP23VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP22VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP21S1
    Bachelor'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

Materials

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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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 - 30.04.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TSA21SA
    Sähkö- ja automaatiotekniikka (AMK)

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

Lecture (class/stream/recording) 90min / week during weeks 3-14
Exam on week 15

Materials

Material in Moodle
Additional material:
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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 5

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • LOGRAKVERKKO
    Logistiikan ja rakentamisen verkko-opetus

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

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppusyksystä ja niiden ajankohdat ilmoitetaan työtilassa.

Materials

Material in Moodle
Additional material:
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.

Exam schedules

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TLS21KMM
    Logistiikan tutkinto-ohjelma (AMK)

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

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Materials

Material in Moodle
Additional material:
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

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Contact teaching, 66 % Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TSA21KMB
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA21KMA
    Sähkö- ja automaatiotekniikka (AMK)

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

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Materials

Material in Moodle
Additional material:
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

Loppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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 - 06.03.2022

Timing

07.03.2022 - 15.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA20SA
    Bachelor's Degree Programme in Electrical and Automation Engineering
  • TSA20SB
    Bachelor's Degree Programme in Electrical and Automation 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 2* 1,5h / week during weeks 10-15
Exam on week 16

Materials

Material in Moodle
Additional material:
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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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

Contact teaching

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
  • TLP20S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP21VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP22VK
    Bachelor'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

Materials

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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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 - 09.01.2022

Timing

07.03.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Scheduling groups
  • TLS20SA (Size: 40. Open UAS: 0.)
  • TLS20SB (Size: 40. Open UAS: 0.)
Groups
  • TLS20S1
    Bachelor's Degree Programme in Logistics
Small groups
  • TLS20SA
  • TLS20SB

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

Lecture (class/stream/recording) 1-1,5 h / week during weeks 10-15
Exercise session 1,5h / week during weeks 10-15
Exam on week 16

Materials

Material in Moodle
Additional material:
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

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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