Logistics Information Technology - TLTL255E

Logistics Information Technology, 4 cr - TLTL255E

Logistics Information Technology (TLTL255E-3001), 01.01.2021 – 31.05.2021,
4 cr (TLS19KM) — Face-to-face + -
Language of instruction

English

Timing

01.01.2021 - 31.05.2021

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

-lectures
-distance learning
-small group learning
-assignments
-learning tasks

Working life cooperation

-Virtual excursions

Campus

Main Campus

Exam dates and re-exam possibilities

If an exam is held, the date and method will be announced in the course opening information.

Learning assignments and 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.

Enrollment

04.01.2021 - 12.01.2021
Groups
- TLS19KM
Alternative learning 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.

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Logistics Information Technology (TLTL255E-3005), 01.10.2020 – 31.05.2021,
4 cr (LOGAKTIIVI) — Online learning + -
Language of instruction

English

Timing

01.10.2020 - 31.05.2021

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

Course contains self study, peer learning and online studies. Course contains a variety of learning assignment.

Learning materials and recommended literature

Is described in the learning environment.

Exam dates and re-exam possibilities

Assessment is based on learning assignments. This course doesn't have an exam.

Learning assignments and student workload

One credit corresponds to an average of 27 hours of work, which means that the load of four credits is approximately 108 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

01.10.2020 - 28.02.2021

Content scheduling

Course is conducted completely without contact lessons.
Groups
- LOGAKTIIVI
Alternative learning 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.

Seats

0 - 30

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

4 cr
Logistics Information Technology (TLTL255E-3006), 01.03.2021 – 30.08.2021,
4 cr (ZJA21KT, ...) — Online learning + -
Language of instruction

English

Timing

01.03.2021 - 30.08.2021

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

Course contains self study, peer learning and online studies. Course contains a variety of learning assignment.

Learning materials and recommended literature

Is described in the learning environment.

Campus

Main Campus

Exam dates and re-exam possibilities

Assessment is based on learning assignments. This course doesn't have an exam.

Learning assignments and student workload

One credit corresponds to an average of 27 hours of work, which means that the load of four credits is approximately 108 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

01.03.2021 - 31.05.2021

Content scheduling

Course is conducted completely without contact lessons.
Groups
- ZJA21KT
- VAz21K1
- LOGAKTIIVI
Alternative learning 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.

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

4 cr
Show all (3) Hide

Student can describe the benefits of automatic identification systems for business and can compare RFID and bar code systems through their strengths and weaknesses. Student can describe the basic operation method for most common identification systems.

Student can describe how a system used for collecting data from vehicles work and can list what kind of data can be collected. Student can also summarize what kind of benefits transport companies achieve by collecting data.

Student can describe how the most common information systems are utilized and what kind of benefits they can bring. Student can describe and summarize how new technologies like Bid Data, Industrial Internet of Things and Blockchain are related to logistics and business management.

Student can conduct a research on a chosen subject and present the findings in a compact manner. Student also learns how to use video to deliver results.

YHT-OPP: Student knows how to gather information from various sources and assess its trustworthiness. Student can make a compact presentation based on the received information.
TELIN: Students learns what kind of information systems are utilized by logistics companies.
EUR-ACE Knowledge and Understanding: Student receives good understanding of the technologies used by logistics companies.
EUR-ACE Transferable Skills: Student practices working in a group and participates in giving and receiving of feedback.
EUR-ACE Investigations: Student knows how to conduct searches utilizing different sources of information.

The contents of the course comprises the basics from the fields of:
- Identification and positioning systems and technologies
- Bar code and RFID-technologies and their usage in company processes
- GPS positioning system
- Intelligent transport systems
- Fleet telematics
- Information systems and their strategic meaning
- Big Data and Industrial Internet of Things

Basic use of computers
Basic knowledge of logistics processes

0-5

Satisfactory (1)
Recognices the most important information systems used by companies. Knows the most important intelligent transport systems and most of the identification and data capture technologies.

Fair (2)
Knows fairly the information systems used by companies. Knows most of the intelligent transport systems and identification and data capture technologies.

Good (3) Knows most of the information systems used by companies and is aware of their strategic meaning. Knows intelligent transport systems and can use identification and data capture technologies for problem solving.

Very good (4) - Knows most of the information systems used by companies and understands their strategic meaning. Understands the role of intelligent transport systems in society and can apply identification and data capture technologies for problem solving.

Excellent (5) - Knows broadly different information systems used by companies and understands their strategic meaning. Understands the benefits of intelligent transport systems for companies and the whole society. Can apply identification and data capture technologies in an innovative manner for problem solving.

Logistics Information Technology, 4 cr - TLTL255E

Upcoming implementations