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Mathematics 6Laajuus (1.5 cr)

Code: SF14CN11

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

02.12.2023 - 28.01.2024

Timing

29.01.2024 - 31.05.2024

Number of ECTS credits allocated

1 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Teaching languages
  • Svenska
Degree programmes
  • Degree Programme in Maritime Studies
Teachers
  • Katarina Sandström
Groups
  • SFK21D-Å
    Sjökapten (YH), h21, dagstudier

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

07.08.2023 - 01.11.2023

Timing

25.09.2023 - 20.12.2023

Number of ECTS credits allocated

1 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Teaching languages
  • Svenska
Degree programmes
  • Degree Programme in Maritime Studies
Teachers
  • Katarina Sandström
Teacher in charge

Petteri Niittymäki

Groups
  • SFK21D-Å
    Sjökapten (YH), h21, dagstudier

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 - 03.03.2023

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
  • Svenska
Seats

1 - 60

Degree programmes
  • Degree Programme in Maritime Studies
Teachers
  • Esa Lapela
  • Katarina Sandström
Teacher in charge

Petteri Niittymäki

Groups
  • SFK19D-Å
    Sjökapten (YH), h19, dagstudier

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