Selected statistical methods with applications
The course contains 2-4 (depending on the course occasion) selected statistical areas/themes which are determined before each course occasion. The areas/themes have normally not been dealt with during previous courses (or only to a limited extent). The course is intended to broadening the students' knowledge in statistics, provide good examples of current statistical method and give inspiration for subjects for the bachelor thesis.
Examples of areas/themes that could be included in the course are missing data, survival analysis, text analysis, bayesian methods and introduction to machine learning. Other themes can also be included in the course.
For each area/theme, the course relates theory to practice by alternating theoretical lectures, practical exercises and programming. A central element is the students' independent work with a number of problems (case studies), which are presented in both written and oral presentations.
Information for admitted students autumn 2024
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
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For new international students
The course contains 2-4 (depending on the course occasion) selected statistical areas/themes which are determined before each course occasion. The areas/themes have normally not been dealt with during previous courses (or only to a limited extent). The course is intended to broadening the students' knowledge in statistics, provide good examples of current statistical method and give inspiration for subjects for the bachelor thesis.
Examples of areas/themes that could be included in the course are missing data, survival analysis, text analysis, bayesian methods and introduction to machine learning. Other themes can also be included in the course.
For each area/theme, the course relates theory to practice by alternating theoretical lectures, practical exercises and programming. A central element is the students' independent work with a number of problems (case studies), which are presented in both written and oral presentations.
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Course structure
The course is given at day time, half time.
Teaching format
The teaching forms consist of lectures and exercises.
Course information
Course description ht-24 (180 Kb)
Assessment
Examination will be in the form of written assignments and oral presentations.
Examiner
Teachers fall 2024
Course coordinators
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course reports
