Intelligent Transportation (TLKK2500)

Intelligent Transportation, 5 cr - TLKK2500

Intelligent Transportation (TLKK2500-3002), 01.10.2021 – 31.05.2022,
5 cr (ZJA21ST, ...) — Online learning + -
Language of instruction

Finnish

Timing

01.10.2021 - 31.05.2022

Lecturer(s)

Juha Pesonen, Erno Sirviö

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

Described in 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 five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

01.10.2021 - 28.02.2022

Content scheduling

Course is conducted completely online.
Groups
- ZJA21ST
- LOGAKTIIVI
- ZJA22KT
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 - 5

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Intelligent Transportation (TLKK2500-3003), 01.03.2022 – 31.08.2022,
5 cr (LOGAKTIIVI) — Online learning + -
Language of instruction

Finnish

Timing

01.03.2022 - 31.08.2022

Lecturer(s)

Juha Pesonen, Erno Sirviö, Kimmo Lehtonen

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

Described in 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 five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

01.03.2022 - 31.05.2022

Content scheduling

Course is conducted completely online.
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 - 5

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Intelligent Transportation (TLKK2500-3004), 15.03.2022 – 31.05.2022,
5 cr (ZJA21STKUO) — Online learning + -
Language of instruction

Finnish

Timing

15.03.2022 - 31.05.2022

Lecturer(s)

Juha Pesonen, Erno Sirviö, Kimmo Lehtonen

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

Described in 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 five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Content scheduling

Course is conducted completely online.
Groups
- ZJA21STKUO
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, Bachelor's Degree Programme in Purchasing and Logistics Engineering

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Intelligent Transportation (TLKK2500-3005), 09.01.2023 – 19.05.2023,
5 cr (TLS20S1) — Face-to-face + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Juha Pesonen, Kimmo Lehtonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää itseopiskelua, ryhmätyötä, kontaktitunteja ja vertaisoppimista. Opintojaksolla suoritetaan useita oppimistehtäviä. Opintojakso ei sisällä kontaktitunteja tai webinaareja. (not translated)

Learning materials and recommended literature

Kuvataan oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)

Enrollment

01.11.2022 - 05.01.2023
Groups
- TLS20S1
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Seats

0 - 50

Assessment methods

Avoin AMK: Ei rajoituksia (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Intelligent Transportation (TLKK2500-3007), 09.01.2023 – 19.05.2023,
5 cr (TLP20S1, ...) — Face-to-face + -
Language of instruction

English

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Juha Pesonen, Kimmo Lehtonen

Planned learning activities, teaching methods and guidance

Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.

Learning materials and recommended literature

Described in 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 five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

01.11.2022 - 05.01.2023
Groups
- TLP20S1
- TLP22VS
- TLP22VK
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 - 20

Assessment methods

Avoin AMK: no limits

Degree Programme

Bachelor's Degree Programme in Purchasing and Logistics Engineering

Mode of delivery

Face-to-face

Unit

School of Technology
Intelligent Transportation (TLKK2500-3008), 29.08.2022 – 21.12.2022,
5 cr (LOGRAKVERKKO) — Online learning + -
Language of instruction

Finnish

Timing

29.08.2022 - 21.12.2022

Lecturer(s)

Juha Pesonen, Kimmo Lehtonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää itseopiskelua, ryhmätyötä, vertaisoppimista ja verkko-opintoja. Opintojaksolla suoritetaan useita oppimistehtäviä. Opintojakso ei sisällä kontaktitunteja tai webinaareja. (not translated)

Learning materials and recommended literature

Kuvataan oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)

Enrollment

01.08.2022 - 25.08.2022

Content scheduling

Opintojakso suoritetaan kokonaisuudessaan verkossa. (not translated)
Groups
- LOGRAKVERKKO
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Seats

0 - 5

Assessment methods

Avoin AMK: Ei rajoituksia (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Intelligent Transportation (TLKK2500-3009), 09.01.2023 – 19.05.2023,
5 cr (LOGRAKVERKKO) — Online learning + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Juha Pesonen, Kimmo Lehtonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää itseopiskelua, ryhmätyötä, vertaisoppimista ja verkko-opintoja. Opintojaksolla suoritetaan useita oppimistehtäviä. Opintojakso ei sisällä kontaktitunteja tai webinaareja. (not translated)

Learning materials and recommended literature

Kuvataan oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)

Enrollment

01.11.2022 - 05.01.2023

Content scheduling

Opintojakso suoritetaan kokonaisuudessaan verkossa. (not translated)
Groups
- LOGRAKVERKKO
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Seats

0 - 5

Assessment methods

Avoin AMK: Ei rajoituksia (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
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The object of the course
More than a third of the supply chain costs are created by the last-mile delivery. Transport companies require excellent management to be able to reduce costs, deliver products on time and respond to rapid changes. After this course you will know how transport companies optimize fleet utilization and how to improve product distribution while acknowledging the environmental issues of logistics.

Course competences
This course develops and assesses the following knowhow: Transport Competence, Engineering practice (EA-EC), communication and teamwork.

The learning objectives of the course
The student can optimize routes and usage of transportation vehicles and can use the results of optimization in designing a transportation system. The student knows the methods of solving the last mile problem and understands their importance for the operation of a transport company. In addition, the student understands the environmental impact of the last-mile problem. The student is able to work in a group and produce a logical report.

In this course you will study the following topics:
- Ecommerce distribution systems
- Route planning of a transportation system
- Using of a optimization software in transport planning

- Logistiikan maailma
- Projektilogistiikka

0-5

1. The student is able to utilize optimization in the design of a transportation system. The student knows the methods for solving the last mile problem and understands how Transport Companies utilize them. The student is aware of the environmental impacts of distribution transport. The student is able to work in a group and produce a logical report.

2. The student is able to utilize optimization in the design of a transportation system. The student knows several methods for solving the last mile problem and understands how Transport Companies utilize them. The student understands the environmental impacts of distribution transport. The student is able to work in a group and produce a logical report.

3. The student is able to utilize optimization in designing a transportation system in a versatile manner. The student knows several methods for solving the last mile problem and understands their potential for Transport Companies. The student understands the environmental impacts of distribution transport. The student actively participates in group activities and is able to produce a logically progressive report.

4. The student is able to utilize and apply optimization in a versatile manner for the design of transportation systems. The student knows several methods for solving the last mile problem and understands the potential of their utilization for different industries. The student understands the environmental impact of transportation and storage options on last mile transport. The student actively participates in group activities and is able to produce a logically progressive report.

5. The student is able to utilize and apply optimization in a versatile manner for the design of transportation systems. The student knows several methods for solving the last mile problem and understands how they can be used to improve the efficiency of transportation in different industries. The student understands the environmental impact of transport and storage options on last mile transport and is able to make a sound comparison. The student is active in the group and is able to produce an extensive logically progressive report.

Intelligent Transportation, 5 cr - TLKK2500

Upcoming implementations