Green Logistics (5 op)
Toteutuksen tunnus: TE00BQ67-3005
Toteutuksen perustiedot
Ilmoittautumisaika
03.08.2024 - 05.09.2024
Ajoitus
02.09.2024 - 15.12.2024
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Toimipiste
Kupittaan kampus
Opetuskielet
- Englanti
Paikat
13 - 56
Koulutus
- Liiketoiminnan logistiikan koulutus
Opettaja
- Harri Heikkinen
Ryhmät
-
PLILOS23KUPLILOS23Kuljetukset
-
PAUTOS22KUKuljetustekniikka
-
LIPATMODKuljetusJaHuolintaLIPAT Kuljetus ja huolinta
-
ExcLIPAT24ExcLIPAT24
- 05.09.2024 11:00 - 14:00, Green Logistics TE00BQ67-3005
- 19.09.2024 11:00 - 14:00, Green Logistics TE00BQ67-3005
- 26.09.2024 11:00 - 14:00, Green Logistics TE00BQ67-3005
- 10.10.2024 11:00 - 14:00, Green Logistics TE00BQ67-3005
- 24.10.2024 14:00 - 17:00, Green Logistics TE00BQ67-3005
- 07.11.2024 12:00 - 15:00, Green Logistics TE00BQ67-3005
- 14.11.2024 11:00 - 14:00, Green Logistics TE00BQ67-3005
Tavoitteet
Green logistics is the process of minimizing damage to the environment due to the logistic operations of an organization. As concern for the environment rises, companies must take more account of the external costs of logistics associated mainly with climate change, air pollution, noise etc.
The student is able to
- take into account environmental issues in logistics
- calculate the emissions of transports
Sisältö
• environmental effects of logistics
• eco balance of logistics
• green logistics as part of the supply chain management
• responsible logistics
• recycling and waste disposal logistics
• the emissions and energy consumption of transportation
• City logistics
Oppimateriaalit
Material presented and shared in Itslearning
Opetusmenetelmät
Lectures, Exercises
Tenttien ajankohdat ja uusintamahdollisuudet
No exam :)
Pedagogiset toimintatavat ja kestävä kehitys
The course learning objectives are directly related to sustainability! No reason to more explain!
Opiskelijan ajankäyttö ja kuormitus
Lectures 42 h
Exercises 40 h
Independent studies 51 h
Total 133 h (equal to 5 cr.)
Sisällön jaksotus
1st lecture on Thu 5th September, 11:15 to 14:00 at LEM_B173.
The lecture times and locations are presented at Lukkari Timetable System.
If you cannot participate the first lecture, please contact the teacher before that. In the case the maximum number of course attendants is exceeded, the students who have been absent the first lectures without any pre-notification and/or not enrolled the course before the first lecture will be discharged
Viestintäkanava ja lisätietoja
ItsLearning
Arviointiasteikko
H-5
Arviointimenetelmät ja arvioinnin perusteet
Evaluation 0 to 5.
The course evaluation is only based on exercises. One exercise has 10 to 35 % factor of final grade. To pass the course with certain grade, the following percentage of total points of exercises must be achieved:
Grade 1 = at least 40 %
Grade 3 = at least 60 %
Grade 5 = at least 85 %
The tasks are designed so that artificial intelligence is not used to complete them. The teacher does not have a system to identify the fraudulent use of artificial intelligence or the skills. If a student collects his credits with the help of artificial intelligence, but finds himself in trouble in his later studies or in working life because he has not really learned the subject, the responsibility for this lies with the student - not the teacher or the educational institution.
Hylätty (0)
The student has achieved less than 40 % of the course maximum points. Exercises are failed due to plagiarism, other cheating or missing notations to references.
Arviointikriteerit, tyydyttävä (1-2)
The student has achieved 40 to 59 % of the course maximum points. Exercises are done without any cheating, and there are notations to references in the exercises.
Arviointikriteerit, hyvä (3-4)
The student has achieved 60 to 84 % of the course maximum points. Exercises are done without any cheating, and there are proper notations to the references in the exercises.
Arviointikriteerit, kiitettävä (5)
The student has gained at least 85 % of the course maximum points. All the exercises are submitted with very good or excellent grade. The exercises indicate excellent information combination and analysis skills.