Course syllabus DVBD - Data Visualisation and Big Data (ŠAVŠ - Sklad předmětů)

     Czech          English          

Course title:
Data Visualisation and Big Data
Semester:
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Course supervisor:
Supervising department:
Prerequisites for registration: none
Time allowance:
full-time, 0/1 (hours of lectures per week / hours of seminars per week)
Type of study:
usual
Form of teaching: seminar
Mode of completion and credits:
Classified fulfillment of requirements (1 credit)
Course objective:
The aim of this course is to teach students the principles of Supplier Relationship Management. This course combines theory, case studies and exercises to provide students with a foundation for understanding, managing and analyze different environments.
 
Course methods:
seminar - presentations, case study, lectures
 
Course content:
The content of the course has not been saved in this language version.
 
Learning outcomes and competences:
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Teaching methods and workload (hours of workload):
Type of teaching method
Daily attendance
Direct teaching
     Attendance of lectures
8 h
Self-study
     Course reading and ongoing preparation
8 h
     Composing of individual (seminar) work
8 h
     Composing of presentation
4 h
Total
28 h
 
Assessment methods:
Requirement type
Daily attendance
Active lecture/seminar/workshop/tutorial participation
40 %
Term paper
30 %
Presentation
30 %
Total100 %
 
Course completion:
- Preparation and active participation on seminars
- Team work and problem solving cases
- Exercise to improve student analytical skills
 
Support for combined/distance forms of study:
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Reading list:
Study plans:
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Run in the period of:
WS 2013/2014 (and older)
Course tutor:
Teaching language:
Czech, English
Room:
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Last modification made by Mgr. Luděk Švejdar on 11/15/2017.

Type of output: