Data Management and ERPLaajuus (5 cr)
Code: 4_EIA8220
Credits
5 op
Learning objectives
The student understands the basic software architecture and how an ERP system uses the data that is needed in current business life. Also the student understands how the data model is designed and organized in the database.
The student understands the basic ERP system architecture and why this kind of software is needed. The student knows the main modules of the ERP system and the importance of them. The student can use the ERP system in a way it is used in daily business.
Content
Software (ERP) Projects
Data Design
Database
Forms
Reports
Use of ERP System
Logging
Basic data (company info, currencies, …)
Materials
Customers
Production
Purchasing
Storage
Shipping
Accounting
Materials
Provided in Moodle
Announced at the beginning of the course
Enrollment
01.12.2024 - 15.01.2025
Timing
07.01.2025 - 25.04.2025
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Markus Saulio
Student groups
-
IE23SPMechanical Engineering
Materials
Provided in Moodle
Announced at the beginning of the course
Enrollment
01.08.2024 - 15.09.2024
Timing
04.09.2024 - 13.12.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Markus Saulio
Student groups
-
EI21SPMechanical Engineering
Teaching methods
Objectives
The student understands the basic software and how an ERP system uses the data that is needed in current business life. The student understands how the data model is designed and organized in the database.
The student understands the basic ERP system architecture and why this kind of software is needed. The student knows the main modules of the ERP system and their importance. The student can use the ERP system in a way it is used in daily business.
Methods
The course has a lot of assignments. There is a short introduction to the topic before each assignment.
The course has four main sections:
• General overview of data management systems and ERP (lessons in the class, presence is not mandatory)
• Running business simulation system RealGame (group work in the class, presence is mandatory)
• Running the Savonia Smart Factory (group work in the lab, presence is mandatory)
• Exploring systems such as CRM, SCM, BI, … (group work, presence is mandatory in final presentation seminars)
The work groups write reports of the exercises.
Grading Scale
0 – 5
Evaluation principles
The evaluation is based on the exercise reports and presentation (pass / fail) and personal learning diary (grades 0-5).
Student workload
Estimation of time usage for a student
Lessons and supported studying 37 h
• Lessons, exercises in the lab, seminar and wrap up
Independent learning and working 98 h
• Case study, exercises
Total workload estimation 135 h
Materials
Lessons and other materials will be shared in Moodle. Sources need to be found from library.
Enrollment
01.08.2023 - 15.09.2023
Timing
04.09.2023 - 20.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Seats
0 - 25
Teachers
- Markus Saulio
Student groups
-
EI20SPMechanical Engineering
Teaching methods
Objectives
The student understands the basic software and how an ERP system uses the data that is needed in current business life. The student understands how the data model is designed and organized in the database.
The student understands the basic ERP system architecture and why this kind of software is needed. The student knows the main modules of the ERP system and their importance. The student can use the ERP system in a way it is used in daily business.
Methods
The course has a lot of assignments. There is a short introduction to the topic before each assignment.
The course has four main sections:
• General overview of data management systems and ERP (lessons in the class, presence is not mandatory)
• Exploring systems such as CRM, SCM, BI, … (group work, presence is mandatory in final presentation seminars)
• Running business simulation system RealGame (group work in the class, presence is mandatory)
• Running the Savonia Smart Factory (group work in the lab, presence is mandatory)
The work groups write reports of the exercises.
Grading Scale
0 – 5
Evaluation principles
The evaluation is based on the exercise reports and presentation (accepted / not accepted) and personal learning diary (grades 0-5).
Student workload
Estimation of time usage for a student
Lessons and supported studying 45 h
• Lessons, exercises in the lab, seminar and wrap up
Independent learning and working 90 h
• Case study, exercises
Total workload estimation 135 h
Materials
Lessons and other materials will be shared in Moodle. Sources need to be found from library.