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R Programming

This course gives you tools for a professional statistician to work with data analysis, machine learning and applications in artificial intelligence. In the course, you will learn, among other things, to write and organize R programs, to perform statistical calculations and simulations using R packages, and to improve R program code.

Statistical programming skills are required when working with data analysis, machine learning and with AI applications. R is nowadays a standard tool for professional statisticians working in data science as well as for many researchers. This course gives you programming skills in the programming language R.

In this course you will learn basic programming concepts such as data structures, functions and objects, strings, conditional statements, iterations. You will also learn methods for code performance optimization and debugging and to develop your own R packages. The course also provides an introduction to object-oriented programming and parallel programming.

  • Course structure

    The course is given at day time, full time.

    The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.

    Teaching format

    The teaching forms consists of lectures and computer labs. The course is given in English.

    Course Information

    More information for registered students will be found in Athena.

    Assessment

    Examination will be in the form of a written test and a written hand in assignment.

    Examiner

    Course coordinator

    Ellinor Fackle Fornius.

    You will find Ellinor's reception hours in the link above. If you want to visit Ellinor outside of her reception hours, you are welcome to e-mail herfor an appointment.

    Teacher

    Also teaching the course is Jessica Franzén.

  • Contact

    If you have questions about the course, please contact the course coordinator:

    Ellinor Fackle Fornius.

    You will find Ellinor's reception hours in the link above. If you want to visit Ellinor outside of her reception hours, you are welcome to e-mail herfor an appointment.

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.