Industrial Computing and Business IntelligenceLaajuus (5 cr)
Code: 5K00DL63
Credits
5 op
Objectives
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
Databases, data warehouses, ERP, MES, cubes, datamining BI
Assessment criteria, satisfactory (1-2)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Enrolment period
18.11.2024 - 13.01.2025
Timing
13.01.2025 - 31.05.2025
Credits
5 op
Mode of delivery
Contact teaching
Unit
Mechanical Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Mika Moisio
Person in charge
Mika Moisio
Groups
-
22I228K
-
22I190
-
22I111
-
22AI112P
-
22I180
-
22I160
-
VAPAA
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
Assessment criteria, satisfactory (1-2) (course unit)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4) (course unit)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5) (course unit)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Assessment scale
0-5
Enrolment period
02.12.2023 - 15.01.2024
Timing
15.01.2024 - 30.04.2024
Credits
5 op
Mode of delivery
Contact teaching
Unit
Mechanical Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Mika Moisio
Person in charge
Mika Moisio
Groups
-
21I111
-
21I228K
-
21I190
-
21I180
-
21I160
-
VAPAA
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
Assessment criteria, satisfactory (1-2) (course unit)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4) (course unit)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5) (course unit)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Assessment scale
0-5
Enrolment period
02.12.2022 - 16.01.2023
Timing
01.01.2023 - 23.05.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
Mechanical Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Mika Moisio
Person in charge
Mika Moisio
Groups
-
21AI112
-
20I111
-
20I160
-
20I180
-
20I190
-
20I228K
-
VAPAA
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
Assessment criteria, satisfactory (1-2) (course unit)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4) (course unit)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5) (course unit)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Assessment scale
0-5
Enrolment period
02.07.2022 - 31.08.2022
Timing
02.09.2022 - 16.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
Mechanical Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Mika Moisio
Person in charge
Sami Kalliokoski
Groups
-
20AI112
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
Assessment criteria, satisfactory (1-2) (course unit)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4) (course unit)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5) (course unit)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Assessment scale
0-5
Enrolment period
02.12.2021 - 11.01.2022
Timing
12.01.2022 - 15.05.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
Mechanical Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Mika Moisio
Person in charge
Sami Kalliokoski
Groups
-
19I228K
-
19I190
-
19I111
-
19I180
-
19I160
-
VAPAA
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
Assessment criteria, satisfactory (1-2) (course unit)
The student recognizes the basic concepts, functions and impressive quantities of information technology and information management in industrial economics. The student is aware of the laws governing the subject and performs the given tasks, if necessary assisted.
Assessment criteria, good (3-4) (course unit)
Students are familiar with the dominant laws of IT and information management in industrial economics, influential functions and quantities. The student performs independently of the given assignments.
Assessment criteria, excellent (5) (course unit)
The student is well versed in all aspects of industrial economics and information management and is able to apply his / her skills to a variety of topics in the field.
Assessment scale
0-5