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Physics for Logistics (3 cr)

Code: TZLF7300-3001

General information


Enrollment

01.11.2021 - 23.01.2022

Timing

10.01.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages

  • English

Seats

0 - 30

Degree programmes

  • Bachelor's Degree Programme in Purchasing and Logistics Engineering

Teachers

  • Pertti Ahonen

Teacher in charge

Pertti Ahonen

Groups

  • TLP20S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP21VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP22VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies

Objectives

The object of the course

You will learn the basic concepts of fluid statics and how to apply mathematical methods of mechanics to logistical processes. You will also learn logical thinking and problem solving strategies.

Course competences (Eur-ACE)

EA-KW: You will obtain the basic knowledge and understanding of the concepts of fluid statics.
EA-EC: You will be able to apply engineering to practice.

The learning objectives of the course

After completing this course you are able to identify the basic principles of fluid statics and the mathematical methods of mechanics on logistical processes.

Content

Fluid statics: Hydraulic lift, hydrostatic pressure, Archimedes' principle and buoyant force.
Logistic processes: f.ex. center of mass of the load, cargo securing, stress of lifting accessories and warehouse shelves.

Learning materials and recommended literature

Material offered by the teacher.
Textbook: Knight, Randal D. Physics for Scientists and Engineers. Pearson International edition. 2nd edition.

Teaching methods

-lectures
-distance learning
-exercises
-learning tasks

Exam dates and retake possibilities

The dates and methods of the exam and two resits will be announced in the course opening information.

Student workload

One credit corresponds to an average of 27 hours of work, which means that the load of three credits is approximately 81 hours. The load is distributed in different ways depending on the course implementation.

Further information for students

Assessment criteria: exercises, exam
Open AMK: 5

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1
You are able to recognize phenomena and the models attached to the field of the course.
You can solve simple course related problems. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.

Satisfactory 2
You are able to understand phenomena and the models attached to the field of the course.
You can solve basic problems with the help of examples. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.

Evaluation criteria, good (3-4)

Good 3
You are able to understand phenomena and the models attached to the field of the course.
You can solve basic problems. You can read different kinds of tables and graphs and you are also able to produce them yourself. Your calculations may have some mistakes.

Very good 4
You are able to understand phenomena and the models attached to the field of the course.
You can solve challenging problems. You can read different kinds of tables and graphs and you are able to produce them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. Your calculations are mainly right.

Evaluation criteria, excellent (5)

Excellent 5
You are able to understand phenomena and the models attached to the field of the course.
You can solve challenging problems. You can read different kinds of tables and graphs and you are able to make make them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. You can apply your knowledge to new situations. Your calculations are right but may have some careless errors.

Prerequisites

Basic knowledge of mechanics and elementary functions and ability to solve simple equations is required.