Statistics (5cr)

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.

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

Understands and can apply basic statistical methods in data analysis. Can calculate fundamental statistical values, use basic graphs to describe scientific phenomena, and perform simple hypothesis testing, but may require guidance in interpreting results.

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

Demonstrates a solid understanding of basic statistical methods and independently applies these methods in data analysis. Can calculate a variety of statistical values, uses graphs effectively in describing scientific phenomena, and conducts hypothesis testing, showing the ability to interpret results.

Assessment criteria, excellent (5) (course unit)

Exhibits comprehensive and in-depth knowledge of statistical methods. Can use advanced statistical techniques in data analysis, calculates statistical values, creates insightful graphical representations to describe scientific phenomena, and performs hypothesis testing with confidence. Interprets and presents statistical results accurately, providing valuable insights into data.

Location and time

Dates and times are shown in TuniMoodle and in Intranet.

Exam schedules

Part 1: The exam will be held on Wednesday, 22th of October at 14.15-17.00 in the classroom B4-27.

Part 2: The exam will be held on Friday, 5th of December at 15.15-18.00 in the festival hall D1-04.

Two re-sit exams, the first one will be held in January and the second in February. (More information later.)

Assessment methods and criteria

The final grade is based on two exams (45+45 points) and the homework (6 points).

A minimum of 20% of the maximum score must be achieved in each exam i.e., at least 9 points per exam. The total score from the exams and the homework must be at least 21 points."

A homework package is given weekly (approximately 12 packages). Half point is given for every submitted homework package in Moodle by deadline. Homework packages are not accepted by email. The maximum points for the part 1 is 45 points and part 2 is 45 points. The homework and the exams together give the maximum of 45+45+6=96 points. The grade is based on the following table

21 points -> grade 1
37 points -> grade 2
53 points -> grade 3
69 points -> grade 4
85 points -> grade 5

Students are expected to study regularly, and receiving a grade requires at least 80 % attendance.

Assessment scale

0-5

Teaching methods

Contact lessons, exercises, self-study, videos, homework, exam.
A student solves exercises and saves them in TuniMoodle by given dead-lines.

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. A student can borrow books in TAMK library. The solutions for the some homework will be published in TuniMoodle after every deadline.

Student workload

A student is expected to study 27 hours / credit unit (135 hours / 5 credit units).

Content scheduling

Topics and dates are shown in TuniMoodle.

Completion alternatives

-

Practical training and working life cooperation

-

International connections

-

Further information

A student is expected to have a scientific calculator and a formula book. (Formula book Technical Formulas published by Tammertekniikka is recommended.)