Visual data analysis, 6 credits

Visuell dataanalys, 6 hp

732G31

The course is disused.

Main field of study

Statistics

Course level

First cycle

Course type

Single subject and programme course

Examiner

Isak Hietala

Course coordinator

Isak Hietala

Director of studies or equivalent

Ann-Charlotte Hallberg
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Language Campus ECV
F7KSA Bachelor´s Programme in Statistics and Data Analysis 1 (Autumn 2017) 201737-201751 Swedish Linköping, Valla C

Main field of study

Statistics

Course level

First cycle

Advancement level

G1X

Course offered for

  • Bachelor´s Programme in Statistics and Data Analysis

Entry requirements

For admission to the course, general entry requirements apply, as well as MA C and Sh A.

Intended learning outcomes

On completion of the course, the student should be able to:
- account for the role of visualisation methodology in data analysis,
- apply modern visualisation methods, both static and interactive,
- select appropriate visualisation techniques for current problems,
- interpret the results acquired,
- account for explorative data analysis in common statistical programs.

Course content

The course aims to have the student acquire and develop a constructive approach to how statistical data can be illustrated and to introduce common statistical programs.

The following is studied in the course
- one-dimensional visualisation of cross-section data,
- one-dimensional visualisation of time evolution,
- one-dimensional visualisation for comparisons,
- m-dimensional visualisation of cross-section data,
- m-dimensional visualisation of time evolution,
- m-dimensional visualisation for comparisons,
- interactive diagram types,
- descriptive statistics in statistical programs.

Teaching and working methods

Apart from independent studies consists the teaching of lectures, computer exercises and teaching sessions. The lectures provide an overview of the course contents and addresses central concepts and methods. The computer exercises put theory into practice. The teaching sessions consist of overviews of the more complex practical assignments.

Examination

The course is examined through individual written examination and through, in groups, written presentations of completed computer exercises. Detailed information can be found in the study guide.

Students failing an exam covering either the entire course or part of the course twice 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.

Grades

Three-grade scale, U, G, VG

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.

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.

Department

Institutionen för datavetenskap

No examination details is to be found.

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