Skip to main content

Intelligent logistics (5 cr)

Code: LO00EB64-3007

General information


Enrollment
06.04.2023 - 21.04.2023
Registration for the implementation has ended.
Timing
11.09.2023 - 15.12.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
RDI portion
5 cr
Mode of delivery
Contact learning
Unit
Department of Logistics and Marine Technology
Campus
Kotka Campus
Teaching languages
English
Seats
20 - 60
Degree programmes
Degree Programme in Logistics
Teachers
Eeva Ala-Krekola
Teacher in charge
Eeva Ala-Krekola
Groups
LOKT23SD
Double Degree in Logistics Engineering
LLKT23SD
Double Degree in Business Logistics
LOKT21SP
Logistics, full-time studies
Course
LO00EB64
No reservations found for realization LO00EB64-3007!

Objective

You are familiar with a wide selection of intelligent logistics applications.
You know the functional principles as well as benefits and limitations of operative, tactical and strategic logistics ICT systems.
You are able to estimate the impact of emerging technologies on intelligent logistics.

Content

What intelligent logistics applications are there?
What are the functional principles as well as benefits and limitations of operative, tactical and strategic logistics ICT systems?
What benefits and the limitations are there in logistics ICT systems?
How might emerging technologies impact intelligent logistics?

Course material

To be informed on digital learning environment Learn

Study forms and methods

If the student wishes to follow an individual learning track, the student writes a plan for the individual learning track. The plan must comply with the learning outcomes of the course and has to be approved first by the teacher of the course and then by the student's work place. The individual learning track must be agreed with the teacher prior to the course start.

RDI and work-related cooperation

The course includes project work done in cooperation with the working life.

Timing of exams and assignments

To be informed on digital learning environment Learn

Student workload

5 cr / 135 h

Evaluation scale

1-5

Assessment methods and criteria

To be informed on digital learning environment Learn

Go back to top of page