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StatisticsLaajuus (3 cr)

Code: 5N00EG78

Credits

3 op

Objectives

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Enrolment period

18.11.2024 - 06.01.2025

Timing

07.01.2025 - 30.04.2025

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Bioproduct Engineering
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 24BIOTA
  • 23BIOTB

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

01.06.2024 - 02.09.2024

Timing

02.09.2024 - 13.12.2024

Credits

3 op

Mode of delivery

Contact teaching

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Building Services Engineering, HVAC Systems
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 23I253

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

12.12.2023 - 15.01.2024

Timing

15.01.2024 - 24.04.2024

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Bioproduct Engineering
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 22BIOTB
  • 23BIOTA

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

01.12.2023 - 22.01.2024

Timing

08.01.2024 - 30.04.2024

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Building Services Engineering, HVAC Systems
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 23AI253

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

01.08.2023 - 31.08.2023

Timing

04.09.2023 - 15.12.2023

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Building Services Engineering, HVAC Systems
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 22I253

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

23.11.2022 - 05.01.2023

Timing

09.01.2023 - 30.04.2023

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Bioproduct Engineering
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 22BIOTA

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

23.11.2022 - 05.01.2023

Timing

09.01.2023 - 30.04.2023

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Bioproduct Engineering
Teachers
  • Jukka Suominen
Person in charge

Jukka Suominen

Groups
  • 21BIOTB

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

01.08.2022 - 19.09.2022

Timing

01.08.2022 - 31.12.2022

Credits

3 op

Mode of delivery

Contact teaching

Unit

Building Services Engineering

Campus

TAMK Main Campus

Teaching languages
  • Finnish
Seats

1 - 45

Degree programmes
  • Degree Programme in Building Services Engineering, HVAC Systems
Teachers
  • Pekka Kaatiala
Person in charge

Pekka Kaatiala

Groups
  • 21I253

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5

Enrolment period

02.12.2021 - 12.01.2022

Timing

01.01.2022 - 30.04.2022

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Bioproduct Engineering
Teachers
  • Pekka Kaatiala
Person in charge

Pekka Kaatiala

Groups
  • 21BIOTA
  • 20BIOTB

Objectives (course unit)

Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.

Content (course unit)

Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression

Prerequisites (course unit)

Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills

Assessment criteria, satisfactory (1-2) (course unit)

Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.

Assessment criteria, good (3-4) (course unit)

In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.

Assessment criteria, excellent (5) (course unit)

In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.

Assessment scale

0-5