Logistics Information TechnologyLaajuus (5 cr)
Code: TLTT6500
Credits
5 op
Teaching language
- English
Responsible person
- Juha Pesonen
Objective
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Qualifications
- Logistiikan maailma
Assessment criteria, approved/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Enrollment
18.11.2024 - 09.01.2025
Timing
13.01.2025 - 19.05.2025
Number of ECTS credits allocated
5 op
Virtual portion
2.5 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
20 - 25
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS23SMMLogistiikka - tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (10 h) and group and individual assignments. Course is design for part-time studies.
Students enrolled in the course will be removed from the implementation three weeks after the first contact lessons if they have not completed the assignment announced at the beginning of the course.
Practical training and working life connections
Possible virtual excursions and visit lecturers.
Exam dates and retake possibilities
Opintojakso ei sisällä koetta
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
18.11.2024 - 09.01.2025
Timing
13.01.2025 - 30.04.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
20 - 58
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS23S1Logistiikka - tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
Exam is held in the end of the course.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2024 - 22.08.2024
Timing
26.08.2024 - 18.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
20 - 36
Degree programmes
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Groups
-
TLP22S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
-
TLP24VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (approximately 30 h), lab exercises and group assignments.
Students enrolled in the course will be removed from the implementation three weeks after the start of the course if they have not completed the assignment announced at the beginning of the course.
Practical training and working life connections
Virtual excursions and possible visiting lecturers
Exam dates and retake possibilities
The exam will be held as an on-site exam in December
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2024 - 22.08.2024
Timing
26.08.2024 - 18.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
2.5 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
20 - 25
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS23KMMLogistiikka - tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (10 h) and group and individual assignments. Course is design for part-time studies.
Students enrolled in the course will be removed from the implementation three weeks after the first contact lessons if they have not completed the assignment announced at the beginning of the course.
Practical training and working life connections
Possible virtual excursions and visit lecturers.
Exam dates and retake possibilities
Opintojakso ei sisällä koetta
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2024 - 22.08.2024
Timing
26.08.2024 - 18.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
10 - 15
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Groups
-
UTIVERKKOInstitute of New Industry, online learning (mechanical, logistics and civil engineering)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Teaching methods
Course contains self study and peer learning. The material to be submitted in several assignments includes a video. No contact lessons or webinars.
Students enrolled in the course will be removed from the implementation three weeks after the start of the course if they have not completed the assignment announced at the beginning of the course.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
20.11.2023 - 04.01.2024
Timing
08.01.2024 - 19.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Groups
-
UTIVERKKOInstitute of New Industry, online learning (mechanical, logistics and civil engineering)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment. No contact lessons or webinars.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
20.11.2023 - 04.01.2024
Timing
08.01.2024 - 20.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Face-to-face, 60 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS22SMMLogistiikka - tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (10 h) and group and individual assignments.
Practical training and working life connections
- Possible virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
20.11.2023 - 04.01.2024
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 55
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS22S1Logistiikka - tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
Exam is held in the end of the course.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2023 - 24.08.2023
Timing
28.08.2023 - 19.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 15
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Groups
-
UTIVERKKOInstitute of New Industry, online learning (mechanical, logistics and civil engineering)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment. No contact lessons or webinars.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2023 - 24.08.2023
Timing
28.08.2023 - 19.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Face-to-face, 60 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 15
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Groups
-
TLS22KMMLogistiikan tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (10 h) and group and individual assignments.
Practical training and working life connections
- Possible virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2023 - 24.08.2023
Timing
28.08.2023 - 19.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 20
Degree programmes
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Groups
-
TLP21S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
-
TLP23VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (approximately 30 h), lab exercises and group assignments.
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.04.2023 - 30.04.2023
Timing
01.05.2023 - 31.08.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 5
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
LOGRAKVERKKOLogistiikan ja rakentamisen verkko-opetus
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment. No contact lessons or webinars.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.11.2022 - 05.01.2023
Timing
09.01.2023 - 19.05.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 5
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
LOGRAKVERKKOLogistiikan ja rakentamisen verkko-opetus
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment. No contact lessons or webinars.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.11.2022 - 05.01.2023
Timing
09.01.2023 - 19.05.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 55
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
TLS21S1Logistiikan tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
Exam is held in the end of the course.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2022 - 25.08.2022
Timing
29.08.2022 - 21.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
TLP20S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (approximately 30 h), lab exercises and group assignments.
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2022 - 25.08.2022
Timing
29.08.2022 - 21.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 5
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
LOGRAKVERKKOLogistiikan ja rakentamisen verkko-opetus
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online Learning
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment. No contact lessons or webinars.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.08.2022 - 25.08.2022
Timing
29.08.2022 - 21.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Bachelor's Degree Programme in Logistics
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
TLS21KMMLogistiikan tutkinto-ohjelma (AMK)
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
Course contains lectures (10 h) and group and individual assignments.
Practical training and working life connections
- Possible virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.03.2022 - 31.05.2022
Timing
01.03.2022 - 31.08.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 10
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
LOGAKTIIVILogistiikan aktiivitoteutukset
-
ZJA22KTAvoin AMK, tekniikka
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 60
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
TLS20S1Bachelor's Degree Programme in Logistics
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Teaching methods
-lectures
-distance learning
-small group learning
-assignments
-learning tasks
Practical training and working life connections
-Virtual excursions
Exam dates and retake possibilities
If an exam is held, the date and method will be announced in the course opening information.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma
Enrollment
01.10.2021 - 28.02.2022
Timing
01.10.2021 - 31.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Online learning
Unit
School of Technology
Teaching languages
- English
Seats
0 - 10
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
- Juha Pesonen
Teacher in charge
Juha Pesonen
Groups
-
ZJA21STAvoin AMK, tekniikka
-
LOGAKTIIVILogistiikan aktiivitoteutukset
Objectives
The objective of the course
Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage. After this course you know the most common automatic data gathering methods in logistics, understand how they work and how companies benefit from them. You know what kind of information systems companies utilize and understand how they can bring competitive advantage. You can also conduct a research and present the findings in a compact manner.
Technology and Knowledge and understanding: You can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. You know how positioning systems work and are utilized for logistics processes. You understand what Intelligent transport systems is and how it affects road transport. You can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.
Investigation and information retrieval: You can form a research question related to the scope of the course, conduct a comprehensive research within given time frame and present the findings in a compact manner.
Communication and team work: You can give constructive feedback to others and can take part in a conversation.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Time and location
Online
Learning materials and recommended literature
Is described in the learning environment.
Teaching methods
Course contains self study, peer learning and online studies. Course contains a variety of learning assignment.
Exam dates and retake possibilities
Assessment is based on learning assignments. This course doesn't have an exam.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Content scheduling
Course is conducted completely without contact lessons.
Further information for students
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
You know the basics of technologies that are utilized in logistics processes to gather data automatically. You can describe the basic functions and benefits of these systems and name a few information systems. You can conduct an research individually or as a member of a group and present the findings. You can give feedback to students and take part in conversations.
Prerequisites
- Logistiikan maailma