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
11.11.2024 - 19.02.2025
Timing
13.03.2025 - 27.04.2025
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Mechanical Engineering
Teachers
- Heikki Kokkonen
Student groups
-
MKONE23Bachelor 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.
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.
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
-
KONE23Bachelor 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.