Intelligent Transportation (5 cr)
Code: TLKK2500-3017
General information
- Enrollment
-
18.11.2024 - 09.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 30.04.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- 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
- Kimmo Lehtonen
- Groups
-
TLP22S1Bachelor's Degree Programme in Purchasing and Logistics Engineering
-
TLP25VKBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
-
TLP24VSBachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
- Course
- TLKK2500
Realization has 24 reservations. Total duration of reservations is 36 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 14.01.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Thu 16.01.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
Visiting lecturer Aleksandra Saarikoski VTT
|
Tue 21.01.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Wed 29.01.2025 time 13:15 - 14:45 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
Battery electric trucks
|
Thu 30.01.2025 time 09:00 - 10:30 (1 h 30 min) |
Uudet teknologiat TLTT4500-3021, New Technologies TLTT4500-3022, Intelligent Transportation TLKK2500-3017 |
R35FP05
Valjakka Auditorio
|
Tue 04.02.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017, Älykäs kuljettaminen TLKK2500-3016 |
R35F307
Oppimistila
|
Thu 06.02.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017, Älykäs kuljettaminen TLKK2500-3016 |
R35G301
Oppimistila
|
Tue 11.02.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F133
IT-laboratorio
|
Thu 13.02.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35BP06
IT-tila
|
Tue 18.02.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F133
IT-laboratorio
|
Thu 20.02.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35BP06
IT-tila
|
Tue 04.03.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Thu 06.03.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G203
Oppimistila
|
Tue 11.03.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Tue 18.03.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G205
Oppimistila
|
Fri 21.03.2025 time 11:30 - 13:00 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35BP06
IT-tila
|
Tue 25.03.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G205
Oppimistila
|
Thu 27.03.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G205
Oppimistila
|
Tue 01.04.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F133
IT-laboratorio
|
Thu 03.04.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F204
IT-tila
|
Tue 15.04.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Thu 17.04.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G203
Oppimistila
|
Tue 22.04.2025 time 15:00 - 16:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35F304
Oppimistila
|
Thu 24.04.2025 time 09:00 - 10:30 (1 h 30 min) |
Intelligent Transportation TLKK2500-3017 |
R35G203
Oppimistila
|
Evaluation scale
0-5
Objective
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.
Content
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
Materials
Described in learning environment.
Teaching methods
Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.
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.
Assessment criteria, satisfactory (1)
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.
Assessment criteria, good (3)
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.
Assessment criteria, excellent (5)
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.
Qualifications
- Global supply chain
Further information
Avoin AMK: no limits