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Computer aided mathematicsLaajuus (2 cr)

Code: KC00CB57

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Qualifications

No previous studies are required.

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Materials

To be announced at the beginning of the course.

Enrollment

22.04.2024 - 09.10.2024

Timing

21.10.2024 - 18.12.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • KONE23
    Bachelor of Engineering, Mechanical Engineering

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

To be announced at the beginning of the course.

Teaching methods

lectures and exercices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Mathcad test and exercises

Qualifications

No previous studies are required.

Enrollment

22.04.2024 - 09.10.2024

Timing

21.10.2024 - 18.12.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • AUTO23

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

To be announced at the beginning of the course.

Teaching methods

lectures and exercices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Mathcad test and exercises

Qualifications

No previous studies are required.

Enrollment

22.04.2024 - 04.09.2024

Timing

12.08.2024 - 13.10.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • MKONE22

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

To be announced at the beginning of the course.

Teaching methods

lectures and exercices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Mathcad test and exercises

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • KONE22

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

To be announced at the beginning of the course.

Teaching methods

lectures and exercices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Mathcad test and exercises

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTO21

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • AUTO22

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

To be announced at the beginning of the course.

Teaching methods

lectures and exercices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Mathcad test and exercises

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • KONE21

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • MKONE21

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.

Enrollment

16.04.2022 - 12.10.2022

Timing

24.10.2022 - 18.12.2022

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTO20

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.

Enrollment

16.04.2022 - 07.09.2022

Timing

29.08.2022 - 16.10.2022

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • KONE20

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.

Enrollment

16.04.2022 - 07.09.2022

Timing

15.08.2022 - 16.10.2022

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Mechanical Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • MKONE20

Objective

Upon completion of the course, students will
- understand the mathematical functions in the Excel programme.
- understand the basics of the Matlab programme.
- be able to applying the above-mentioned methods in their Professional Studies and practical problems in the working world.

Content

- Statistical indicators
- Graphic presentations
- Regressions
- Solvers
- Optimization
- Basics of the Matlab programme
- Matlab programming

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

54h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of Excel and MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of Excel and MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

No previous studies are required.