Anadolu Info Package Anadolu Info Package
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Graduate School
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  • Measurement and Data Analitycs
  • Key Learning Outcomes
# Key Learning Outcomes
1 To be able to use knowledge and skills in measurement and data analytics.
2 To be able to identify problems that can be solved through data analytics
3 To be able to develop projects and ideas towards the solution of problems
4 To have scientific and ethical values in the process of research studies
5 To be able to take the initiative personally or as a group member when multidimensional problems are encountered during implementation.
6 To be able to work in harmony with group members in the field or from other disciplines in all types of coordination and cooperation activities.
7 To be use different software and technologies related to data analytics
8 To be able to improve the acquired skills lifelong learning purposes
9 To be able to inform certain people and institutions regarding the field when necessary, and to be able to deliver to them ideas and solutions to problems with the support of data in written or verbal form.
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