Module also offered within study programmes:
General information:
Name:
Transport Management
Course of study:
2019/2020
Code:
ZZIP-1-612-s
Faculty of:
Management
Study level:
First-cycle studies
Specialty:
-
Field of study:
Management and Production Engineering
Semester:
6
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr inż. Gdowska Katarzyna (kgdowska@zarz.agh.edu.pl)
Module summary

Sustainable transport and logistics are crucial for modern economy. This course provides a review of the most important problems of transport management together with analytical tools and methods used for support decision making process in transportation management. Students are provided with the set of tools used for typical transportation problems. Students prepare a project which consists of identification, description, analysis and original solution (optional) to a transportation problem.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence: is able to
M_K001 be a leader of small project teams and to collaborate with professionals of different fields ZIP1A_K03 Presentation,
Execution of exercises,
Execution of a project
M_K002 acquire knowledge by oneself ZIP1A_K01 Test,
Execution of exercises,
Execution of a project
Skills: he can
M_U001 use software tools to deal with transportation management problems ZIP1A_U03, ZIP1A_U01 Execution of exercises,
Execution of a project
M_U002 identify, describe, and solve transportation problems ZIP1A_U03, ZIP1A_U02 Test,
Execution of exercises,
Execution of a project
Knowledge: he knows and understands
M_W001 of managerial problems in transportation of people and goods ZIP1A_W05 Test
M_W002 of processes, approaches, models, and tools used in transportation and logistics ZIP1A_W05 Test
Number of hours for each form of classes:
Sum (hours)
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
60 30 0 0 0 0 0 0 0 30 0 0
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
Social competence
M_K001 be a leader of small project teams and to collaborate with professionals of different fields - - - - - - - - + - -
M_K002 acquire knowledge by oneself - - - - - - - - + - -
Skills
M_U001 use software tools to deal with transportation management problems - - - - - - - - + - -
M_U002 identify, describe, and solve transportation problems - - - - - - - - + - -
Knowledge
M_W001 of managerial problems in transportation of people and goods + - - - - - - - - - -
M_W002 of processes, approaches, models, and tools used in transportation and logistics + - - - - - - - + - -
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 100 h
Module ECTS credits 4 ECTS
Udział w zajęciach dydaktycznych/praktyka 60 h
Preparation for classes 15 h
przygotowanie projektu, prezentacji, pracy pisemnej, sprawozdania 25 h
Module content
Lectures (30h):

Lectures cover following subjects:
1. Introduction – transportation of people and goods
2. Optimization in transportation problems
3. Transportation of people
3a. Public transit systems
3b. Transit service planning
3c. Frequency and headways determination,
3d. Timetable development
4. Transportation of goods
4a. Transport systems – classification, requirements, network design and configuration
4b. Transport costs and pricing
4c. Vehicle routing
5. Sustainable transport and logistics
6. New trends in transportation of people and goods

Workshops (30h):

During classes students discuss and solve selected problems:
1 Warm-up – up-to date transportation problems described in substantial literature and professional journals – assignment
2. Combinatorial optimization models for transportation
3. Selected heuristics for transportation problems
4. Summary – presenting a transportation problem with own analysis and developed solutions
5. Final test – material presented during lectures and classes and assigned for self-study.

Additional information
Teaching methods and techniques:
  • Lectures: lecture, presentation, disscusion, e-learning
  • Workshops: mini-lecture, case-study, presentation, team-work exercise, project, e-learning, disscusion, test
Warunki i sposób zaliczenia poszczególnych form zajęć, w tym zasady zaliczeń poprawkowych, a także warunki dopuszczenia do egzaminu:

1. All grades are calculated according to the scale compliant with the regulations of the AGH studies. A score of 50% is required to obtain the lowest positive grade (satisfactory, 3.0).
2. To pass the auditorium classes students need to obtain 50% of the TOTAL score calculated as a weighted average of scores from the test (0-100), assignment (1-100), project (1-100), and presentation (0-100) with following weights – test 40%, assignment – 10%, project – 30%, and presentation – 20%. Oral answers allow students to get additional points for the overall assessment.
3. Final grade of the course is equal to the final grade from the auditorium classes.
4. If the student does not obtain positive grade from classes at the required date, he/she is entitled to write a retake in a form agreed with the lecturer.

Participation rules in classes:
  • Lectures:
    – Attendance is mandatory: No
    – Participation rules in classes: Attendance in lectures is not mandatory, but highly recommended. Students actively listen to the lecture, and in case of any doubts are invited to ask questions or express their opinions. Students are invited to initialize discussion on topics most interested to them as well as to participate in discussions initialized by the lecturer. During the lecture, students should make their own notes, especially when solving tasks on the board. Learning materials for each lecture are available on the Moodle platform after every lecture. Students may be asked to get familiarized with additional materials for self-study (materials are available on the Moodle platform). It is not allowed to record or film a lecture without the consent of the teacher.
  • Workshops:
    – Attendance is mandatory: Yes
    – Participation rules in classes: Before the classes, students should prepare scheduled assignments and during the class present them to the group. Students are invited to participate actively in every task assigned to them during the class. Students are invited to consult any doubts on their choice of the project and presentation topics as well as their progress on the project execution. Students are invited to participate actively in 2 last classes in order to present their project and watch presentations of other teams.
Method of calculating the final grade:

The final grade is calculated as the average of grades with the following weights:
| Grade | Weight |
| Test | 40% |
| Assignment | 10% |
| Project | 30% |
| Presentation | 20% |

Sposób i tryb wyrównywania zaległości powstałych wskutek nieobecności studenta na zajęciach:

Absence from lectures or exercises needs to be made up by studying the issues discussed in the classroom with the help of lecture notes available on the e-learning platform. If someone omits the test, then have to write it on the date agreed with the lecturer. If someone is absent during the presentation, need to discuss the project with the teacher on the agreed date.

Prerequisites and additional requirements:

Prerequisites and additional requirements not specified

Recommended literature and teaching resources:

Timm Gudehus, Herbert Kotzab, Comprehensive logistics, Berlin ; Heidelberg : Springer, 2009.
Juan de Dios Ortúzar, Luis G. Willumsen, Modelling transport,Chichester : John Wiley & Sons, 2001.

Scientific publications of module course instructors related to the topic of the module:

Katarzyna Gdowska, Ana Viana, João Pedro Pedroso, Stochastic last-mile delivery with crowdshipping, Transportation Research Procedia ; ISSN 2352-1465. — 2018 vol. 30, s. 90–100. —
Katarzyna Gdowska, Roger Książek, Urban transit network timetabling problem in terms of sustainable urban transportation, Selected aspects of sustainable engineering [VIII Krakow conference of young scientists : 26–28 September 2013], Krakow : Wydawnictwa AGH, 2016, s. 85–98.

Additional information:

None