Curricula

Objectives

The student has an understanding of the measurement technology in industry and understands their physical and chemical principles. The student can design the PC based measurement solutions. The student can analyze the measurement results and understands the uncertainty relating to them.

TSASO - Design competence
The student can make choices between different measurement methods.

EA-ER - Engineering practice
The student can apply theory in measurement solutions of the laboratory. The student can implement the simple PC based measurement solutions.

Content

analyzing of measurement data
measurement methods
physical and chemical principles of measurements
PC based measurement solutions (Labview)

Learning materials and recommended literature

Luentomoniste (pdf).

Teaching methods

-lectures
-distance learning
-small group learning
-labs
-exercises
-learning tasks

Alternative completion methods

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.

Further information for students

Avoin AMK 5

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate (1): The student identifies the basic knowledge and terminology but in the interpreting of the essential concepts the skills are still inadequate.

Satisfactory (2): The student is familiar with the basic knowledge and terminology but in the application of the essential concepts the skills are still inadequate.

Evaluation criteria, good (3-4)

Good (3): The student:
•understands the physical and chemical principles of measurements
•can estimate the measurement reliability
•can design the PC based measurement solution
•understands the system so deeply that the student can find the reasons of malfunctions.

Very good (4): The student masters the essential knowledge and can apply the knowledge.

Evaluation criteria, excellent (5)

Excellent (5): The student masters the essential knowledge and can apply the knowledge acquired in a creative and innovative manner.

Prerequisites

Basic knowledge of mathematics and physics