Mathematics 6Laajuus (1.5 cr)
Code: MM22CN11
Credits
1.5 cr
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
15.06.2025 - 05.10.2025
Timing
06.10.2025 - 19.12.2025
Number of ECTS credits allocated
1 cr
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
- 
                        MMC23D-ÅMaritime Management, Captain, 2023, 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
According to realization timetable
Materials
Introductory Statistics, Barbara Illowsky, De Anza College,
Teaching methods
Lectures in the classroom and possibly  online studies.
Homework and E-Learning may excist.
Exam schedules
According to realization schedule
Completion alternatives
-
Student workload
40h
Evaluation scale
H-5
Assessment methods and criteria
Test
Assessment criteria, fail (0)
Do not meet the criteria of evaluation
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
Enrollment
01.12.2024 - 26.01.2025
Timing
27.01.2025 - 31.05.2025
Number of ECTS credits allocated
1 cr
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Teaching languages
- English
 
Teachers
- Katarina Sandström
 
Groups
- 
                        MMC22D-ÅMaritime Management, Captain, 2022, 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
15.06.2024 - 29.09.2024
Timing
30.09.2024 - 31.07.2025
Number of ECTS credits allocated
1 cr
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
- 
                        MMC22D-ÅMaritime Management, Captain, 2022, 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