Immunology (5 cr)
Code: SX00EC95-3007
General information
Enrollment
27.11.2023 - 10.12.2023
Timing
18.03.2024 - 26.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
1 op
Mode of delivery
80 % Contact teaching, 20 % Distance learning
Unit
School of Rehabilitation and Examination
Campus
Myllypurontie 1
Teaching languages
- Finnish
Seats
0 - 37
Degree programmes
- Biomedical Laboratory Science
Teachers
- Marja Miettinen
Teacher in charge
Marja Miettinen
Groups
-
SXJ23S1Bioanalytiikan tutkinto-ohjelma päivä
Objective
Learning outcomes
As a student you can describe the structures, functions and disorders of the human defence system and explain the antigen-antibody reaction. You are able to explain the pre-analytical requirements of immunochemical assays and their clinical significance. You are able to perform the most common immunochemical definitions and understand the principles of their functioning, while also assessing the reliability of results.
You understand the principle behind vaccination and are familiar with the general features of the Finnish vaccination programme.
Content
Contents
Human immune system
Antigens and antibodies
Natural and acquired immunity
Hormone and antibody tests
Pre-analytics of the most common immunochemical assays
Principles and definitions of the most common immunochemical methods
Location and time
N/A
Materials
Duodecim Oppiportti: Immunologia
Hedman Klaus, Heikkinen Terho, Huovinen Pentti, Järvinen Asko, Meri Seppo ja Vaara Martti (toim.).2011. Immunologia. Mikrobiologia, immunologia ja infektiosairaudet, kirja 2. Duodecim.
Lectures
Instructions for laboratory work
Current articles
Teaching methods
Interactive lectures (Zoom), laboratory work, compulsory
Learning assignments
Employer connections
N/A
Exam schedules
Exam 21.5.2024
Re-exams in August and September 2024
International connections
N/A
Completion alternatives
N/A
Student workload
Lectures 24 h, laboratory work 20 h, independet study 88 h, exam 3 h
Further information
Learning assignments: In May 2024
Assignments must be returned on time, in order to be evaluated during the course. It is not possible to raise assignment evaluation.
To pass the whole course a student must pass all the assignments and the final exam.
It is not allowed to use or distribute any tasks, assignments or MATERIALS in any other way than in the student's own studies. Distributing ONLY with the teacher's personal permission.
The use of artificial intelligence is not allowed. Students are not allowed to use artificial intelligence to create the content of works without separate permission or approval.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Assessment criteria
Satisfactory (1–2)
0–5
Assessment framework, see the appendix.
Assessment criteria for beginners are applied.
Assessment methods and criteria
Exam 1 - 5
Learning assignment 1 - 5
Work reports appr. /suppl.
Prerequisites
Prior competence
Anatomy, Physiology and Pathophysiology, Pre-analytics and Methods in Laboratory Work