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.

Location and time

Dates and times are shown in TuniMoodle and in Intranet.

Exam schedules

The exam will be held on Tuesday, 9th of November at 08.15-11.00.
Two re-sit exams, the first one on Wednesday 8th of December at 11.00-14.00 and the second on Monday 24th of January at 14.15-17.00 in the classroom B4-27.

Assessment methods and criteria

The final grade is based on the exam and the homework. A homework package is given weekly (appr. 8-9 packages). One point is given for every submitted homework package in Moodle. Homework packages are not accepted by email. The maximum points for the test is 41-42 points. The homework and the test 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 / on-line studies in TuniMoodle, 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 and a formula book.