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| SYLLABUS |
| Data mining project,
6 ECTS Credits |
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COURSE CATEGORY Master´s Programme in Statistics, Data Analysis and Knowledge Discovery
MAIN FIELD OF STUDY Datalogi
SUBJECT AREA
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COURSE CODE |
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732A32 |
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| AIM OF THE COURSE |
After completion of the course, the student should be able to
- apply previously obtained knowledge in the field of data mining in a real setting
- plan, perform and report on an individual task
- demonstrate insight in research and development work. |
| CONTENTS |
| Project in data mining (classification, prediction, clustering and/or association analysis). |
| TEACHING |
| The actual project will be chosen in cooperation with a supervisor and based on previously gained knowledge in data mining. The work is performed individually with support and guidance of a supervisor. Language of instructions: English |
| EXAMINATION |
Project work and written scientific report according to the practice in the research area.
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 |
Students entering the course should 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 computer science are also required.
Documented knowledge of English equivalent to "Engelska B"; i.e. English as native language or an internationally recognized test, e.g. TOEFL (minimum scores: Paperbased 575 + TWE-score 4.5, internetbased 90 TWE-score 20), 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. |
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Data mining project
Data mining project |
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Department responsible
for
the course or
equivalent:
IDA - Department of Computer and Information |
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| Registrar No: 1330/06-41 |
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Course Code: 732A32 |
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Exam codes: see Local Computer System |
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| Subject/Subject Area : Datalogi |
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| Level |
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Education level |
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Subject Area Code |
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Field of Education |
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| A1X |
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Advanced level |
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TE |
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The syllabus was approved by the Board of Faculty of Arts and Science 2008-09-10
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