Mathematics 6Laajuus (1.5 cr)
Code: MM14CN11
Credits
1.5 op
Objective
The student is provided with knowledge of graphical represen-tations and interpretation of statistical material.
The student is familiar with the basics of probability calculus and has knowledge of the normal distribution.
Content
• Statistical methods
• Graphical representation
• Standard and statistical probability
• Binomial probability
• Expected values and measurement dispersion
• Normal distribution
• t-distribution
Qualifications
Mathematics 2
Enrollment
01.12.2023 - 31.12.2023
Timing
01.01.2024 - 31.05.2024
Number of ECTS credits allocated
1 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Teaching languages
- English
Degree programmes
- Degree Programme in Maritime Management, Captain
Teachers
- Esa Lapela
- Katarina Sandström
Groups
-
MMC21D-ÅMaritime Management, Captain, 2021, full-time studies
Objective
The student is provided with knowledge of graphical represen-tations and interpretation of statistical material.
The student is familiar with the basics of probability calculus and has knowledge of the normal distribution.
Content
• Statistical methods
• Graphical representation
• Standard and statistical probability
• Binomial probability
• Expected values and measurement dispersion
• Normal distribution
• t-distribution
Evaluation scale
H-5
Qualifications
Mathematics 2
Enrollment
26.09.2023 - 30.11.2023
Timing
26.09.2023 - 20.12.2023
Number of ECTS credits allocated
1 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Teaching languages
- English
Degree programmes
- Degree Programme in Maritime Management, Captain
Teachers
- Katarina Sandström
Groups
-
MMC21D-ÅMaritime Management, Captain, 2021, full-time studies
Objective
The student is provided with knowledge of graphical represen-tations and interpretation of statistical material.
The student is familiar with the basics of probability calculus and has knowledge of the normal distribution.
Content
• Statistical methods
• Graphical representation
• Standard and statistical probability
• Binomial probability
• Expected values and measurement dispersion
• Normal distribution
• t-distribution
Evaluation scale
H-5
Qualifications
Mathematics 2
Enrollment
01.12.2022 - 27.02.2023
Timing
27.02.2023 - 01.04.2023
Number of ECTS credits allocated
1 op
Virtual portion
1 op
RDI portion
1 op
Mode of delivery
Distance learning
Unit
Faculty of Technology and Seafaring
Campus
Åbo, Hertig Johans parkgata 21
Teaching languages
- English
Seats
1 - 60
Degree programmes
- Degree Programme in Maritime Management, Captain
Teachers
- Esa Lapela
- Katarina Sandström
Teacher in charge
Petteri Niittymäki
Groups
-
MMC19D-ÅMaritime Management, 2019, full-time studies
-
MMC20D-ÅMaritime Management, Captain, 2020, full-time studies
Objective
The student is provided with knowledge of graphical represen-tations and interpretation of statistical material.
The student is familiar with the basics of probability calculus and has knowledge of the normal distribution.
Content
• Statistical methods
• Graphical representation
• Standard and statistical probability
• Binomial probability
• Expected values and measurement dispersion
• Normal distribution
• t-distribution
Location and time
Time and place you will find from your schedule and exam dates are determined by the teacher at the beginning of an actual course. Re-exam dates set by Novia generally.
Teaching methods
Lectures, classroom exercises, homework and assignments in statistics.
Exam schedules
Time and place you will find from your schedule and exam dates are determined by the teacher at the beginning of an actual course. Re-exam dates set by Novia generally.
Student workload
40h
Evaluation scale
H-5
Assessment criteria, satisfactory (1-2)
• Demonstrates familiarity with the industry's knowledge base.
• Can find information from a source of information for a case.
• Can use guided models in situations
• Is able to solve a given task independently.
• Can coordinate and promote the group's goal-oriented activities.
• Can act responsibly in accordance with ecological principles in different situations
Assessment criteria, good (3-4)
• Is able to apply the knowledge base of the field consistently
• Can search for information from various sources of information.
• Is able to apply models in practice.
• Is able to solve a given task independently and consistently
• Is able to consistently coordinate and promote the group's goal-oriented activities
• Can act consistently and responsibly according to ecological principles in different situations
Assessment criteria, excellent (5)
• Knowledgeable in applying the knowledge base in the field
• Is able to choose appropriate sources of information for the situation and is able to search for relevant information
• Is able to select and apply models critically in practice
• Knowledgeable about how to solve multiple assignments
• Is able to co-ordinate and promote the group's goal-oriented activities.
• Can act expertly and responsibly in accordance with ecological principles in different situations
Qualifications
Mathematics 2