Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
EKOL3159 Introduction to R 3 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Biology
Department of Biology

Learning outcomes

The objective of this course is to get familiar with working in the R environment and how you can code programs to help you with various problems which typically arise when performing computer calculations. Emphasis is on learning how to work in R, from reading in data, to procedures to manipulate data, different formats data can be stored in, work with databases (link datafiles), use logical operators, elementary matrix calculation, and coding simple functions and getting help in R. No statistics are taught during the course, but this course does provide skills which are beneficial when doing statistics in R.

The course can prepare students for the Moodle-based statistics course organized by the Stats Department (TILM3517). The objective of EKOL3159 is for student to gain experience in working in R by independently reading and working out 5 exercises per week.

General description

R is a freely available programming platform, rapidly becoming a modern standard. The concepts are introduced using computer exercises, which students are required to solve independently and present and discuss jointly (with fellow students and teacher) during 3-hour weekly meetings. Note that solving the exercises takes considerable time. Emphasis is on learning the very basics of programming and seeing what you can do with it. This is not a course in doing statistics with R.

Teacher responsible

Jon Brommer
jon.brommer[ät]utu.fi

Teacher

Barbara Class
barbara.class[ät]utu.fi

Teaching

10-Jan-2018 – 28-Feb-2018
Tutorials
Wed 10-Jan-2018 at 14-17, Q111, Quantum
Tue 23-Jan-2018 - 27-Feb-2018 weekly at 15-16, Q111, Quantum
Wed 24-Jan-2018 - 28-Feb-2018 weekly at 14-17, Q111, Quantum

Evaluation

Pass/fail.

Further information

The course is taught each year (in period 3). Sign up for the course in nettiopsu.utu.fi. See the Moodle page of this course for updates and more information. Course will be arranged if at least 8 students register for the course.