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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
  • TLS23SMM
    Logistiikka - 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
  • TLS23S1
    Logistiikka - 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
  • TLP22S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP24VS
    Bachelor'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
  • TLS23KMM
    Logistiikka - 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
  • UTIVERKKO
    Institute 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
  • UTIVERKKO
    Institute 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
  • TLS22SMM
    Logistiikka - 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
  • TLS22S1
    Logistiikka - 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
  • UTIVERKKO
    Institute 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
  • TLS22KMM
    Logistiikan 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
  • TLP21S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP23VS
    Bachelor'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
  • LOGRAKVERKKO
    Logistiikan 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
  • LOGRAKVERKKO
    Logistiikan 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
  • TLS21S1
    Logistiikan 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
  • TLP20S1
    Bachelor'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
  • LOGRAKVERKKO
    Logistiikan 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
  • TLS21KMM
    Logistiikan 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
  • LOGAKTIIVI
    Logistiikan aktiivitoteutukset
  • ZJA22KT
    Avoin 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
  • TLS20S1
    Bachelor'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
  • ZJA21ST
    Avoin AMK, tekniikka
  • LOGAKTIIVI
    Logistiikan 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