Programming in R, 6 credits

Programmering i R, 6 hp

732G36

The course is disused.

Main field of study

Statistics

Course level

First cycle

Course type

Single subject and programme course

Director of studies or equivalent

Ann-Charlotte Hallberg
Possible deviation from course syllabus/programme syllabus
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Language Campus ECV
Single subject course (Half-time, Day-time) Autumn 2015 201534-201543 English Linköping

Main field of study

Statistics

Course level

First cycle

Advancement level

G2X

Entry requirements

For acceptance to the course, the student should have passed courses covering a total of 60 ECTS in statistics, computer science, mathematics, applied mathematics, engineering or equivalent and including a basic course in programming in languages like C, Java, Python, Matlab. Documented knowledge of English equivalent to Engelska B/Engelska 6: internationally recognized test, e.g. TOEFL (minimum scores: Paper based 575 + TWE-score 4.5, and internet based 90+TWE-score 20), IELTS, academic (minimum score Overall band 6.5 and no band under 5.5), or equivalent.

Intended learning outcomes

After completion of the course the student should on an be able to:
- write R programs based on programming techniques such as reading data from file or Internet, assignment and manipulation of data structures, defining own functions, iterations, conditional (if-then-else) statements and debugging.
- speed up R programs by using parallel programming and performance enhancement tools

Course content

The course introduces general programming techniques and their practical implementation in the R language. More specifically, the course includes:
- Reading data from file, from the internet, and printing to output
- Data structures, functions and objects
- Iteration and conditional statements
- Graphics in R
- Debugging
- Introduction to object-oriented programming
- Performance enhancement
- Parallel programming

Teaching and working methods

The teaching comprises lectures and computer exercises. The lectures are devoted to presentations of concepts and methods. The computer exercises provide practical experience of programming in R. Homework and independent study are a necessary complement to the course.
Language of instruction: English.

Examination

Written reports on computer exercises. One final written or oral examination. Detailed information about the examination can be found in the course’s study guide.

Grades

ECTS, EC

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department

Institutionen för datavetenskap

No examination details is to be found.

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