Opetussuunnitelmat

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

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

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

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

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

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

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

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

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

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

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

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