STK4030 - Modern data analysis
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Course content
Modern data analysis refer to methods where fewer assumptions (such as a linear relation between response and explanatory variables) are made and where instead data determine the relation. Some keywords are nearest neighbor methods, kernel smoothing and generalized additive models. Statistical classification is problems where the response variable is a categorical variable("classes"). The course will present classical classification methods as well as more advanced methods based on modern regression methods. A central problem in the course is searching for structures in data, often referred to as "data mining" or "learning from data".
Learning outcomes
During the course you will learn many different methods for regression and classification. You will learn practical use of these methods as well as basic understanding of them. You will also learn how to choose between the different available methods.
Admission
Students at UiO must apply for courses in StudentWeb.
International applicants, if you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Prerequisites
Recommended prior knowledge
STK1100 - Probability and statistical modelling, STK1110 - Statistical methods and data analysis 1, STK1120 - Statistical methods and data analysis 2.
Overlap
10 credits against STK9030 - Modern data analysis.
Starting the fall semester 2009, STK4030 will overlap 5 credits against UNIK4590 - Pattern Recognition.
The information about overlaps is not complete. Contact the department for more information if necessary.
Teaching
3 hours of lectures/exercises per week.
Exam information
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 September 15th for the autumn semester and February 15th for the spring semester.
Exam resources
Permitted aids at the exam if written: Approved calculator.
Oral exam: no aids permitted.
Information about approved calculators (Norwegian only)
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 taught in 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.
Assessment and grading
Course grades are awarded on a descending scale using alphabetic grades from A to E for passes and F for fail. Read more about the grading system .
Explanations and appeals
A student may appeal against an awarded grade and/or file a formal complaint about exam procedures
Possibility of make-up exams and re-takes
This subject offers new examination in the beginning of the subsequent term for candidates who withdraw during an ordinary examination or fail an ordinary examination. Deferred examinations for students who due to illness or other valid reason of absence were unable to sit for their final exams will be arranged at the same time. (These valid reasons has to be documented within given deadlines.)
Information about deferred and new examination (also called repeat examination) is found here
Withdrawing from exams and limits on re-takes
A student can sit for this exam up to 3 times. If a student wishes to withdraw from the exam, s/he must do this in StudentWeb at least two weeks prior to the first day of the exam. Failure to do so will be counted as one of the three opportunities to sit for the exam.
Exam options for students with special needs
Students may apply for access to alternative exam resources or exam forms on the basis of chronic illness and/or special needs that create a marked disadvantage to other students in the exam situation. Mothers who are breastfeeding may apply for extra time to complete the exam.
Evaluation of this course
Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. As a student at the University of Oslo you will therefore be asked to participate in various types of evaluation of our courses, facilities and services. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, in-depth evaluation of this course, a so called "periodic evaluation".
Contact us
Department of Mathematics
Visiting address:
Niels Henrik Abel's building, Moltke Moes vei
Visiting hours:
Monday-friday 09:00-14:30
Postal address:
P.O.box 1053, Blindern
NO-0316 Oslo
Fax: +47 22 85 43 49
E-mail: studieinfo@math.uio.no
Web: http://www.mn.uio.no/math/english/