Industrial Computing and Business Intelligence (5 cr)
Code: 5K00BI00-3006
General information
- Enrolment period
- 02.07.2021 - 31.08.2021
- Registration for the implementation has ended.
- Timing
- 01.08.2021 - 15.12.2021
- Implementation has ended.
- Credits
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- School of Industrial Engineering
- Campus
- TAMK Main Campus
- Teaching languages
- Finnish
- Degree programmes
- Degree Programme in Mechanical Engineering
Objectives (course unit)
Student understands industrial IT structure and main applications in strategical and operational purposes. Student can apply and utilize skills and applications for planning of operational strategical activities. Student understands the concept of business intelligence (BI, IoT, Big Data) in global environment.
Content (course unit)
databases, data warehouses, ERP, MES, cubes, datamining BI
Location and time
According to Lukkari
Exam schedules
No Exam
Evaluation methods and criteria
Assigments
Activeness
The general evaluation criterias of TAMK are applied
Assessment scale
0-5
Teaching methods
Online and classroom teaching
Indipendent learning
Assignment
Classroom exercises
Learrning in group
Learning materials
Material in Moodle
Student workload
According to TAMK schedule and Moodle timing instruction.
Classroom and online lessons, independent study and group assignments
Content scheduling
Lectures and assignments
Completion alternatives
No alternative implementations
Practical training and working life cooperation
Possible via assignment
International connections
N.A.
Further information
N.A.
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
The student knows something from topic and is moderately able to interpret and apply the learned knowledge. The student is able moderately to describe how industrial company operates. The student is motivated and takes responsibility to his/her own work.
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
The student knows well the topic and is able to interpret and apply the learned knowledge. The student is able to describe how industrial company operates. The student is motivated and takes responsibility to his/her own work. Everything is done in time and according to instructions.
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
The student knows widely from topic and is widely able to interpret and apply the learned knowledge. The student is widely able to describe and justify how industrial company operates. The student is highly motivated and takes responsibility to his/her own work. Everything is done in time and according to instructions.