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
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
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
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