Back to group CCA17SY

Business Intelligence (R0359), 10 cr

Implementation plan (PDF), 1 page

Implementation
CCA1711
Semester
1/2017-2018
Dates
13 Sep 2017–22 Dec 2017
Type
MANAGEMENT INFORMATION SYSTEMS (R067)
Group
CCA17SY
Campus
Laurea Leppävaara
Language of instruction
English
Teachers
Tissari Lassi (Teacher in charge), Takala Jouni (Other teacher)
Status
Ready
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Implementation plan Finished



 Study unit                            Business Intelligence (R0359), 10.0
 Implementation                        CCA1711: 1/2017-2018 (13.09.2017 - 22.12.2017)
 Type                                  MANAGEMENT INFORMATION SYSTEMS (R067)
 Groups                                Primary: CCA17SY Others :
 Involved in the project
 Lecturers
 Number of participants                Minimum: Maximum:
 Enrolment period                      15.05.2017 08:00 - 31.05.2017
 Main timing for implementation
 Applicabililty                        For exchange students: Yes For elective studies: Yes Open UAS student:
                                       No Suitable for virtual UAS: No

 Teachers                              Tissari Lassi (Teacher in charge), Takala Jouni (Other teacher)
 Campus                                Laurea Leppävaara
 Main location for implementation
 Implementation method                 Optima realization/student group Language: English Virtuality: 0 cr Integration of
                                       R&D: 0 cr
 Implementation class
 Focus areas                           No connection to focus areas
 Evaluation at the latest              22.01.2018 Storing of graded material ends.: 22.12.2018
 Exam days                             Re-exams: 30.11.2017, 18.01.2018, 15.02.2018

 Having completed the study unit the   The student is able to
 student is able to                    ●      understand the connection between the analytical tools that can be used on real
                                              data in companies and the decision-making
                                       ●      use analytical skills to work with the data, to understand it and to turn it into
                                              intelligence for particular decisional contexts
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