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Arkistoitu opetusohjelma 2017–2018
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
LUOYY027 Introduction to R 2 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Other studies
Course unit descriptions in the curriculum
Yhteiset opinnot/LUO
Faculty of Natural Sciences

Learning outcomes

After the course the student is familiar with the R environment. Further, the student is familiar with the basic R operations and objects, data exploration and data visualization.

General description

R is one of the most widely used software for statistics and data science. In this course, the students will have the chance to become familiar with basic R objects, operations, visualizations tools and programming. The course will have in-class and online components. The online material (more information here: http://www.uta.fi/cast/events/Ronline.html) should be done before the first day of the course or between the two in-class days of the course. The second in-class day of the course will offer the chance to get a deeper knowledge about R and to analyze own data.

Modes of study: pre-assignment, participation in course work

BOTH online and in-class parts are required for the completion of the course.

 Pre-assignment: Please write a short (half A4) text stating:

1)    Your name & disciplinary background

2)    State your own motivation for participating on this course and what do you expect to learn.

Enrolment for University Studies

Enrolment time has expired

Teachers

Paulo Canas Rodrigues, Teacher responsible
Paulo.Rodrigues[ät]uta.fi

Teaching

26-Apr-2018 – 8-May-2018
Lectures
Thu 26-Apr-2018 at 9-16, ML 50 (K 114), Linna Building, lunchtime 12-13
Tue 8-May-2018 at 9-16, ML 40 (B 0040), Pinni B, lunchtime 12-13
Independent work
Exercises

Evaluation

Pass/fail.

Further information

Maximum number of students is 20. Priority will be granted for the first enrolments, based on the proportions: 60% PhD students 30% MSc students and 10% BSc students. Students should check the selection result via NettiOpsu after the enrolment period.