Curricula

Objectives

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.

Content

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

Time and location

Verkossa

Learning materials and recommended literature

Kuvataan oppimisympäristössä.

Teaching methods

Opintojakso sisältää itseopiskelua, vertaisoppimista ja verkko-opintoja. Opintojaksolla suoritetaan useita oppimistehtäviä.

Exam dates and retake possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä.

Alternative completion methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä.

Student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli neljän opintopisteen opintojakson kuormitus on noin 108 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen.

Content scheduling

Opintojakso suoritetaan kokonaisuudessaan verkossa.

Further information for students

Avoin AMK: Ei rajoituksia

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Satisfactory (1)
Recognizes 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.

Evaluation criteria, good (3-4)

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.

Evaluation criteria, excellent (5)

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.

Prerequisites

Basic use of computers
Basic knowledge of logistics processes