Programplaner og emneplaner - Student
STKD6510 Data Science for Social Innovations II Emneplan
- Engelsk emnenavn
- Data Science for Social Innovations II
- Studieprogram
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International Summer School - Faculty of Technology, Art and Design
- Omfang
- 10.0 stp.
- Studieår
- 2017/2018
- Programplan
-
- Emnehistorikk
-
Innledning
None.
Forkunnskapskrav
One half year of university studies (30 ECTS), in addition to the international summer school's general requirement. The requirement needs to be met by 1 March.
Læringsutbytte
After completing this course the student should have the following learning outcome:
Knowledge
On successful completion of this course the student has leading knowledge of:
- the potential of data analytics for solving different real-life problems
- the core principles of data analytics (machine learning, statistics)
- the main components of data analytics from infrastructure/technical perspectives
- the visualization techniques to understand and/or communicate data and findings
- programming languages applicable to data analytics including, for example, SQL, Python, Matlab, R, or SPSS
Skills
On successful completion of this course the student has a progressive ability to:
- apply data analytics techniques to formulate a hypothesis, collect data, analyze it and reach conclusions about the data
- critically draw conclusions from different sources of data
- plan and design a real-world data analytics application
- analyze real-world data by building an app with a real-world application
- clearly identify and define a problem and craft a solution using data analytics
- construct a data analytics solution from a set of general requirements such as organizational goals or user scenarios.
- synthesize primary and secondary data sources the ability to accurately pinpoint trends, correlations and patterns in complex data sets
- identify new opportunities for organizational change including process improvements, cost reduction or efficiency improvements.
General Competence
On successful completion of this course the student is proficient and can master:
- data analytics principles
- methods/tools for data analytics and data visualization
- using data analytics to solve real-world problems
- data analytics visualizations in presentations
Arbeids- og undervisningsformer
The course comprises 40 hours of language instruction (4 hours * 10 weeks) organized as whole class instruction.
Arbeidskrav og obligatoriske aktiviteter
None.
Vurdering og eksamen
- Oral examination of a group project, which counts for 60% of the grade.
- A 4,000 to 6,000-word group project report, which counts for 40% of the grade
Each group may consist of 2-5 candidates.
Oral presentations cannot be appealed.
Both exams must be passed in order to pass the course.
Vurderingsuttrykk
The final assessment will be graded on a grading scale from A to E (A is the highest grade and E the lowest) and F for fail.
Sensorordning
Two internal examiners will be used.