STK9900 - Statistical methods and applications
Course description
Schedule, syllabus and examination date
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Course content
The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is emperical determination of relations between variables) and other multivariable statistical techniques are central. In particular linear regression, analysis of variance, design of experiments, logistic regression, survival analysis and simple time-series analysis is treated.
Learning outcome
The students will become familiar with many important topics in
applied statistics. Teaching will be computer assisted and related to examples. Mathematics is kept at a minimum, while it is expected that the students have a basic knowledge of statistics at the level of STK1000 - Introduction to applied statistics. Use of a software package is integraded into the course. The course is in particular directed towards master and phd students who need knowledge of statistics beyond an introductory course for their thesis work. The students are required to actively take part in practical exercises.
Admission
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
The examination in this course is not available for external candidates. Only students admitted to the course may sit for the examination.
Prerequisites
Recommended previous knowledge
MAT1001 - Mathematics 1 and STK1000 - Introduction to applied statistics
Overlapping courses
- 10 credits overlap with STK4900 - Statistical methods and applications
- 2 credits overlap with STK1110 - Statistical methods and data analysis 1
- 3 credits overlap with STK2120 - Statistical Methods and Data Analysis 2
- 5 credits overlap with STK3100 - Introduction to generalized linear models
- 5 credits overlap with STK4100 - Introduction to generalized linear models
- 3 credits overlap with STK1120 - Statistical methods and data analysis 2 (continued)
- 5 credits overlap with STK2000 - Some central models and methods in statistic (discontinued)
- 10 credits overlap with STK3900 - Statistical methods and applications (discontinued)
The information about overlaps is not complete. Contact the department for more information if necessary.
Teaching
Teaching will be given intensively over two separate weeks, each day from 9.15 - 16.00.
Examination
Depending on the number of students, the exam will be in one of the following four forms:
1.Only written exam
2.Only oral exam
3.A project paper followed by a written exam.
4.A project paper followed by an oral exam/hearing.
For the latter two the project paper and the exam counts equally and the final grade is based on a general impression after the final exam. (The two parts of the exam will not be individually graded.)
What form the exam will take will be announced by the teaching staff within October 15th for the autumn semester and March 15th for the spring semester.
One compulsory assignment has to be approved, before the second week of teaching. Lectures, exercises and the compulsory assignment are given jointly for STK4900 and STK9900, but the exam questions are not the same for the two courses.
Rules for compulsory assignments at the mathematical institute
Examination support material
For written exam: All printed and hand-written resources and approved calculator are allowed.
Information about approved calculators (Norwegian only)
For oral exam: no resources are allowed
Language of examination
Students may, on subjects where the language of instruction is Norwegian and the examination form is written exam, ask for the exam paper in Bokmål, Nynorsk or English. Closing date for registering the chosen examination language is September 1st for the fall semester and February 1st for the spring semester. Please view the web page of the Faculty of Mathematics and Natural Sciences on how to proceed
Subjects where the language of instruction is English will offer the exam paper in English only.
This rule also applies for subjects where the exam form is dependent on the number of students and written exam is chosen by the teaching staff.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
Re-scheduled exams are offered at the beginning of the next semester for students who:
- can document a valid reason for absence from the regular exam (e.g. illness before or during the exam)
- withdraw during the exam
- do not successfully complete the exam during the previous semester.
Read more about re-scheduled exams.
Withdrawal from an examination
If you wish to withdraw from the exam you must do so in StudentWeb at least two weeks prior to the deadline. Failure to do so will be counted as one of the three opportunities to sit the exam.
Special examination arrangements
If you have a disability or a health problem that entails significant inconvenience in an examination situation, you may be considered for special examination arrangements. Mothers who are breastfeeding may apply for extra time to complete the exam.
Evaluation
Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.