Mathematics and statistics 2 (5op)

Arviointiasteikko

H-5

Tavoitteet

This module provides you the essential practical knowledge on the advanced topics on mathematics and statistics utilized in Data Analytics. The focus of this module is on different statistical methods and tools for data analysis. The prerequisite for this course is a successful completion of Mathematics and Statistics 1 or the possession of the relevant subject matter knowledge and skills.

Sisältö

Tieto puuttuu

Aika ja paikka

01.01.2020 - 31.05.2020 Adobe Connect lectures given from Rovaniemi.

Oppimateriaalit

Material and links will be placed in Moodle.

Direct link to Moodle workspace:
https://moodle.eoppimispalvelut.fi/course/view.php?id=6072

Key: T42D24

Opetusmenetelmät

Adobe Connect lectures and independent exercises.

Tenttien ajankohdat ja uusintamahdollisuudet

Will be agreed during Adobe Connect meetings.

Toteutuksen valinnaiset suoritustavat

Exams and exercices. Seminar presentations given by the students.

Arviointikriteerit, tyydyttävä (1)

Evaluation target: You know the chapters of mathematics and statistics used in Data Analytics and are able to apply them in solving specific problems.

Satisfactory
You understand the main subjectconcepts on a general level andapply them to do the basic tasks.

Arviointikriteerit, hyvä (3)

Good
You understand the main subject concepts. You analyse tasks and choose appropriate ways to solve them.

Arviointikriteerit, kiitettävä (5)

Excellent
You understand all the subject concepts comprehensivelyand apply them correctly. You choose an appropriate way to solve a task and explain the solution.

Esitietovaatimukset

NULL

Lisätiedot

The main focus will be on Discrete Mathematics and Mathematical Logic.

Direct link to Moodle workspace:
https://moodle.eoppimispalvelut.fi/course/view.php?id=6072

Key: T42D24