Analyysitekniikat, automaation perusteet, näytelogistiikka (7 cr)
Code: 7B00EG13-3001
General information
- Enrolment period
- 05.08.2019 - 30.11.2019
- Registration for the implementation has ended.
- Timing
- 14.04.2020 - 14.12.2020
- Implementation has ended.
- Credits
- 7 cr
- Mode of delivery
- Contact learning
- Unit
- Biomedical Laboratory Science
- Campus
- TAMK Main Campus
- Teaching languages
- Finnish
- Degree programmes
- Degree Programme in Biomedical Laboratory Science
- Teachers
- Siru Suoniemi
- Ulla Kähkönen
- Laura Hilden
- Elina Järvenpää
- Person in charge
- Kirsi Mansikkamäki
- Small groups
- Pienryhmä a1 (Size: 4 . Open UAS : 0.)
- Pienryhmä a2 (Size: 4 . Open UAS : 0.)
- Pienryhmä b1 (Size: 4 . Open UAS : 0.)
- Pienryhmä b2 (Size: 4 . Open UAS : 0.)
- I (Size: 3 . Open UAS : 0.)
- II (Size: 3 . Open UAS : 0.)
- III (Size: 3 . Open UAS : 0.)
- Small groups
- Pienryhmä a1
- Pienryhmä a2
- Pienryhmä b1
- Pienryhmä b2
- I
- II
- III
- Course
- 7B00EG13
Objectives (course unit)
Part 1 analysis techniques
The student
- knows the operating principles, measuring methods and areas of application of the measuring devices used in clinical laboratory
- knows the basic principles related to the preparation, preservation and use of reagents, calibrators/constants and controls
- knows factors affecting the measurement quality and common sources of error
- can explain the principles and practical use of the measuring devices used in the teaching
- can perform simple reactions which take place in immunological measurements and can describe their operating principles
- learns how to work in a supervised small group and to pay attention to the occupational safety and ergonomics of himself/herself and others
Part 2. Basics of automation and sample logistics
The student
- knows the concept of an automatic production line and its operating principles
- knows the operational environment of an automated laboratory
- knows the basics of automation and various automatic analysers and their operating principles and areas of application in analytics and production
- is able to search for and critically evaluate information in international articles about the effect of automation
- can explain the meaning of sample logistics and how automation affects its operation
- can specify factors relating to occupational hygiene and ergonomics in automation and knows how to prevent adverse effects in his/her own work
Content (course unit)
Part 1. Analysis techniques
Note: The use and measuring principle of a spectrophotometer are covered in a preliminary manner
Practical course of general laboratory practice and occupational safety
Reactions between the measured substance and the reagent
Preparation, storage and use of reagents
Calibration, control and quality management of the instruments and methods
Operating principles and sources of error in measuring instruments
Applications in clinical laboratory and special analytics
Photometry, electrochemical and immunoassay methods and flow cytometry Basics of mass spectroscopy, chromatography and electrophoresis
End point and kinetic measurement
Potentiometric, amperometric and other electrochemical measurements Immunochemical measurements
Exercises in small groups, in a clinical laboratory environment Working in a small group
Part 2. Basics of automation and sample logistics
Basics of automation and fully automated clinical laboratory environment
Use of automatic analysers in analysis and mass production in clinical laboratories
Current and future automation solutions in special fields
Sample logistics
The job description of a biomedical laboratory scientist in automation and sample logistics
Occupational hygiene and ergonomics in automation work
Prerequisites (course unit)
Student has acceptably completed Practical course of general laboratory practice 7B00EG12 study module.
Assessment criteria, satisfactory (1-2) (course unit)
Part 1.
The student
- can name the operating principles and measuring methods of the more common measuring devices.
- can list some preanalytical and analytical error factors that interfere with measurements.
- needs significant guidance and support in exercises.
- pays attention to occupational safety while working in the teaching laboratory and follows given work instructions but cannot justify his/her activities.
- works within the group and gives and receives feedback.
Part 2.
The student
- knows the key concepts of the automation line and can name some of its parts.
- recognizes the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- The written report follows the TAMK thesis reporting guidelines in general but contains many shortcomings.
- The student's reflection is repetitive and the sources consist of a number of Finnish-language articles.
- The work has been returned within the deadline.
Assessment criteria, good (3-4) (course unit)
Part 1.
The student
- can explain the operating principles and measuring methods of the more common measuring devices.
- can list the most important preanalytical and analytical error factors that interfere with measurements and can explain their effects.
- can perform laboratory exercises under guidance.
- pays attention to occupational safety while working in the teaching laboratory, follows given work instructions and can justify his/her activities.
- works responsibly within the group and can give and receive feedback actively and constructively.
Part 2.
The student is able
- to explain the key concepts of laboratory automation.
- to describe different automation solutions and their differences.
- to justify the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- to present a thoughtful and critical perspective on the given topic.
Finnish and international articles have been used as sources. The written report is mainly written in accordance with TAMK's thesis reporting guidelines. The work has been returned within the deadline.
Assessment criteria, excellent (5) (course unit)
Part 1.
The student
- analyses the differences of the operating principles and measuring methods of more common measuring devices.
- can list preanalytical and analytical error factors that interfere with measurements and can explain their effect mechanisms.
- performs laboratory exercises independently, relying on given instructions and verifies issues with the teacher when necessary.
- pays attention to occupational safety while working in the teaching laboratory, follows given work instructions and can justify his/her activities.
- works constructively and responsibly within the group, gives and receives feedback actively.
Part 2.
The student is able
- to explain the key concepts of laboratory automation and various automation solutions.
- to analytically justify the importance of preanalytics and sample logistics in automation and mass production as a basis for quality.
- to present a reflective and critical perspective on the given topic, broadening his/her understanding of the subject.
Several Finnish and international articles have been used as sources. The report is written in accordance with TAMK's thesis reporting guidelines and the written language is good. The work has been returned within the deadline.
Assessment criteria, pass/fail (course unit)
-
Location and time
Syksy 2019 ja kevät 2020 analyysitekniikat , Automaatio ja näytelogistiikka syksy 2020
Exam schedules
Kevät 2020 analyysitenkiikka, immunologiset menetlmät suoritetaan kirjallisena työnä.
Syksyn 2020 automaatio ja näytelogistiikka suunnitellaan keväällä 2020.
Assessment methods and criteria
Numeraalinen arviointi.
Assessment scale
0-5
Teaching methods
Luennot, laboratorioharjoitukset ja itsenäinen työskentely.
Automaatiossa ja näytelogistiikassa vierailevia luennoitsioita, kiertokäyntejä ja kirjallinen työ.
Completion alternatives
Hyväksiluku, osittainen, aikaisempien tutkintojen pohjalta.
Further information
Kurssi sisältää kaikille pakollisisia harjoituksia opetuslaboratoriossa. Läsnäolopako teoriatunneilla 80%.
Kurssin tulee olla suoritettu analyytekniikan osalta ennen syksyllä 2020 alkavia kliinisen kemian opintoja.
Syksyn 2020 opetuksen osalta toteutussuunnitelma täsmentyy kevään j2020 aikana.