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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
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
Distance 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)
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online Learning
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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 % Contact teaching, 60 % Distance 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)
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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.
Employer connections
- Possible virtual excursions
Exam schedules
If an exam is held, the date and method will be announced in the course opening information.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Contact teaching
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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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.
Employer connections
-Virtual excursions
Exam schedules
If an exam is held, the date and method will be announced in the course opening information.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Distance 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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online Learning
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Distance 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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online Learning
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Contact teaching
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)
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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.
Employer connections
-Virtual excursions
Exam schedules
Exam is held in the end of the course.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Contact teaching
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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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.
Employer connections
-Virtual excursions
Exam schedules
If an exam is held, the date and method will be announced in the course opening information.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Distance 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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online Learning
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Contact teaching
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)
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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.
Employer connections
- Possible virtual excursions
Exam schedules
If an exam is held, the date and method will be announced in the course opening information.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Distance 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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Contact teaching
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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
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
Employer connections
-Virtual excursions
Exam schedules
If an exam is held, the date and method will be announced in the course opening information.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- 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
Distance 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
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.
Course Competences
This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.
The learning objectives of the course
Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
Content
In this course you'll study
- Identification technologies
- Intelligent Transport Systems and Fleet management
- Strategic Information Systems
Location and time
Online
Materials
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 schedules
Assessment is based on learning assignments. This course doesn't have an exam.
Completion alternatives
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
Avoin AMK: no limits
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Technology and Knowledge and understanding: Student 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. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student 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: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.
Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
Qualifications
- Logistiikan maailma