Toteutussuunnitelma
2016
Laurean yhteiset opinnot
Laurea Leppävaara
Täydentävä osaaminen ja yhteiset opinnot
Implementation plan
2016
Laurea common studies
Laurea Leppävaara
Complementary competence and common studies
Toteutussuunnitelma · Complementary competence (bachelor's studies) (CCA), Laurea Leppävaara · Ryhmä CCA16SY · Lukukausi 1/2016-2017
Business Intelligence (A9169), 10 op
Implementation plan · Complementary competence (bachelor's studies) (CCA), Laurea Leppävaara · Group CCA16SY · Semester 1/2016-2017
Business Intelligence (A9169), 10 cr
Business Intelligence (A9169), 10 cr
Implementation plan (PDF), 1 page
- Implementation
- CCA1611
- Semester
- 1/2016-2017
- Dates
- 9 Sep 2016–23 Dec 2016
- Type
- ENTERPRISE SYSTEMS AND BUSINESS INTELLIGENCE (A840)
- Group
- CCA16SY
- Campus
- Laurea Leppävaara
- Language of instruction
- English
- Teachers
- Tissari Lassi (Teacher in charge)
- Status
- Ready
Show text version
1/1
Implementation plan Finished
Study unit Business Intelligence (A9169), 10.0
Implementation CCA1611: 1/2016-2017 (09.09.2016 - 23.12.2016)
Type ENTERPRISE SYSTEMS AND BUSINESS INTELLIGENCE (A840)
Groups Primary: CCA16SY Others :
Involved in the project
Lecturers
Number of participants Minimum: Maximum:
Enrolment period 16.05.2016 08:00 - 31.05.2016
Main timing for implementation
Applicabililty For exchange students: Yes For elective studies: Yes Open UAS student:
No Suitable for virtual UAS: Yes
Teachers Tissari Lassi (Teacher in charge)
Campus Laurea Leppävaara
Main location for implementation At the campus
Implementation method Optima realization/student group, Web/virtual Language: English Virtuality:
0 cr Integration of R&D: 0 cr
Implementation class
Focus areas
Evaluation at the latest 23.01.2017 Storing of graded material ends.: 23.12.2017
Exam days Re-exams: 01.12.2016, 19.01.2017
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.
Previous studies
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