Statistics (3 cr)

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.

Exam schedules

The exam will be held on Monday, 16th of November at 14.15-17.00 in the classroom B4-27. A student has to complete and submit at least 50 % of the exercises to be able to attend the exam.
Two re-sit exams, the first one in December and the second in January 2021 (more details later).

Assessment methods and criteria

The final grade is based on the exam. To pass the exam a student has to get at least 40 % of the maximum points.

40 % -> grade 1
52,5 % -> grade 2
65 % -> grade 3
77,5 % -> grade 4
90 % -> grade 5

Assessment scale

0-5

Teaching methods

on-line studies in TuniMoodle, individual work

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. The solutions for the exercises will be published in TuniMoodle after every deadline.

Further information

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