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Statistics (3 cr)

Code: 5N00EK29-3005

General information


Enrolment period

02.07.2024 - 31.08.2024

Timing

01.08.2024 - 23.10.2024

Credits

3 op

Mode of delivery

Contact teaching

Unit

TAMK Mathematics and Physics

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in Environmental Engineering
  • Open University of Applied Sciences

Teachers

  • Jukka Suominen

Person in charge

Miika Huikkola

Objectives (course unit)

After completing this course students are able to use the basic statistical methods (calculate statistical values, use graphs in describing scientific phenomena, test hypothesis) in data analysis.

Content (course unit)

Statistical charts and numbers, probability, regression and correlation, hypothesis testing.

Prerequisites (course unit)

Student needs to have basic skills in using Microsoft Excel or some other similar kind of software. Student should also have completed Functions and Matrices and Integral Calculus courses or courses that cover the contents fo the two aforementioned courses before taking this course.

Assessment criteria, satisfactory (1-2) (course unit)

Student understands and is able to name and define the basic concepts.

Student manages the assigned tasks under supervision and knows different ways to conduct the statistical analyses, but cannot justify his/her choices. Student's way to use the statistical analyses is based on routine and pre-learned performance.

Student can give and receive feedback, and is able to consider and assess things from his/her viewpoint. Student takes responsibility for his/her own work.

Assessment criteria, good (3-4) (course unit)

Student is able to structure relations between the basic concepts and is able to apply, explain and compare different statistical methods.

Student can select the most appropriate course of action from diverse options and justify his/her choice. Student is able to apply the advanced concepts when solving technical problems.

Student can give and receive feedback actively and contructively, and considers and assesses things both from his/her and the close community's viewpoint. Student can cooperate responsibly and is ready to develop his/her interaction skills.

Assessment criteria, excellent (5) (course unit)

Student is able to understand extensive entities and relation between them. Student is able to generalise, analyse and related the advanced problems to the professional context.

Student can search for diverse courses of action and solution alternatives, justify his/her choices and try new courses of action. Student assesses diverse solution alternatives creatively. Student has skills to present and justify the chosen methods when solving problems in a logical way.

Student uses feedback systematically as a professional growth tool in his/her own work and the community. Student can cooperate responsibly, flexibly and constructively and works in a committed manner.

Location and time

Dates and times are shown in TuniMoodle and in Intranet.

Exam schedules

Two exams: part 1, will be held on Monday, 7th of October at 10.15-12.00 in D1-04 and
part 2 will be held on Wednesday, 20th of November 2024 at 09.15-12.00 in D1-04 (auditorium).

Two re-sit exams, the first one will be held on Friday, 17th of January 2025 at 13.15-16.00 in the classroom B4-18 & B4-27, and the second on Friday, 7th of February at 13.15-16.00 in Festival Hall D1-04.

Assessment methods and criteria

The final grade is based on the exams and the homework. A homework package is given weekly (appr. 8 packages). One point is given for every submitted homework package in Moodle. Homework packages are not accepted by email. The maximum points for the exams is 21 + 21 points = 42 points. The homework and the exams together give the maximum of 50 points. The grade is based on the following table

12,5 points -> grade 1
20 points -> grade 2
27,5 points -> grade 3
35 points -> grade 4
42,5 points -> grade 5

Assessment scale

0-5

Teaching methods

Contact studies, individual work, homework, videos

Learning materials

All material, theory and exercises, can be found in TuniMoodle. If necessary, a student can use math books he/she has used before and the Internet to search more information about the topics. Some solutions for the exercises will be published in TuniMoodle after every deadline.

Content scheduling

Topics and dates are shown in TuniMoodle.

Further information

It is recommended that a student has a calculator, a computer and a formula book.