Kursplan

SYLLABUS

Advanced Programming in R, 6 ECTS Credits

COURSE CATEGORY   Master´s Programme in Statistics and DataMining
MAIN FIELD OF STUDY   Computer Science
SUBJECT AREA   Informatik/Data- and Information Science – IF1

COURSE CODE

732A44

AIM OF THE COURSE

After completion of the course the student should on an advanced level 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
- use external statistical and data mining packages in R.

CONTENTS

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
- Statistics and numerical linear algebra in R
- Using external R packages for data mining
- Graphics in R
- Debugging
- Introduction to object-oriented programming
- Performance enhancement
- Parallel programming

TEACHING

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.

Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

ADMISSION REQUIREMENTS

For acceptance to the course, the student must have a bachelor’s degree with a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics, and computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Basic undergraduate courses in statistics and programming are also required.
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), IELTS, academic (minimum score Overall band 6.5 and no band under 5.5), or equivalent.

GRADING

The course is graded according to the ECTS grading scale A-F

CERTIFICATE

Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.

COURSE LITERATURE

The course literature is decided upon by the department in question.

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.

Advanced Programming in R
Avancerad programmering i R

Department responsible
for the course or equivalent: IDA - Department of Computer and Information Science

Registrar No: 2009-1028

Course Code: 732A44

Exam codes: see Local Computer System

Subject/Subject Area : Computer Science

Level		Education level			Subject Area Code		Field of Education
A1X		Advanced level					TE