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Statistics and Probability (5 cr)

Code: II10017-3002

General information


Enrollment

01.10.2023 - 31.10.2023

Timing

08.01.2024 - 28.04.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Bachelor of Engineering, Industrial Management

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • English

Seats

20 - 50

Degree programmes

  • Degree Programme in Industrial Management

Teachers

  • Aki Summanen

Teacher in charge

Aki Summanen

Groups

  • IINS23
    Bachelor of Engineering, Industrial Management, Full-time Studies, Fall, 2023

Objective

You are able to solve basic probability and statistical problems. You know basic sampling methods and how to analyse data with them.

Content

Sampling methods
Location measures
- Mean
- Median
- Mode
Statistical dispersion
- Standard deviation
- Range
- Interquartile range
- Variance
Regression and correlation
Probability

Exam schedules

Midterm exam is on week 9. Final is on week 17.

Final exam on April 2024 according to the study plan.

This course can't be done on EXAM-environment.

Completion alternatives

The course can be done also by attending to final exam on spring 2024.

Student workload

Lessons and exams 36,5 hours. Guided exercises 28 hours.

Self-learning about 98,5 hours

Total 135 hours

One academic credit equals about 27 hours of work for student.

Evaluation scale

H-5

Assessment methods and criteria

Evaluation is based on the exams, specified exercises and assignments announced by the teacher on the lessons and on Moodle. If the student's total amount of points is
- less than 35 % of maximum: grade 0 (fail)
- 35 - 48 % of maximum: grade 1
- 49 - 62 % of maximum: grade 2
- 63 - 76 % of maximum: grade 3
- 77 - 90 % of maximum: grade 4
- more than 90 % of maximum: grade 5.

Assessment criteria, fail (0)

The student has difficulties to read statistical texts and to recognize basic expressions in statistics and probability

There are difficulties to use basic mathematical tools

The student is unable to apply mathematics

Less than 35 % of points from exams and other exercises or assignments

Assessment criteria, satisfactory (1-2)

The student knows basic expressions in statistics and probability and can easily read statistical texts

The student is able to use basic mathematical tools

The student is able to apply basics on easy applications

Grade 1: 35 - 48 % of points from exams and other exercises or assignments

Grade 2: 49 - 62 % of points from exams and other exercises or assignments

Assessment criteria, good (3-4)

The student is able to read statistical texts and uses expressions in statistics and probability

The student is able to use mathematical tools

The student is able to apply mathematics on applications

Grade 3: 63 - 76 % of points from exams and other exercises or assignments

Grade 4: 77 - 90 % of points from exams and other exercises or assignments

Assessment criteria, excellent (5)

The student is able to read fluently statistical texts and uses difficult expressions in statistics and probability

The student is able to use difficult mathematical tools

The student is able to apply mathematics fluently on applications

More than 90 % of points from exams and other exercises or assignments