ADSE1310 Internet of Things Course description

The course comprises fundamental methods and laboratory techniques that are key in medical laboratories, and build on knowledge about quality assurance from previous courses. The students acquire practical experience of using different methods and quality assurance of these methods through laboratory work.

The course builds on the computer science courses from the first semester.

No requirements over and above the admission requirements.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

• has a basic technical understanding of the functioning of Internet og computer networks
• has an overview of the most important principles in pervasive computing, and the Internet of Things, which include wearable devices, context aware computing, health monitoring, smart houses, crowd sensing, smart grids and ambient intelligence
• understands the basic technical principles behind different algorithms for autonomous control in the Internet of Things
• has an understanding of how the Internet of Things and pervasive computing affect security and the protection of privacy in our society
• has good knowledge of the scientific advances and technology leaps that enabled the Internet of Things

Skills

The student

• masters basic concepts and has an overview of algorithms used on the internet and in data communication
• is capable of conceptualising architecture for solutions based on the Internet of Things and pervasive computing

General competence

The student

• is capable of designing solutions based on the principles behind the Internet of Things and pervasive computing

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence: 

Knowledge 

The student 

• can explain fundamental methods, such as spectrophotometry, polymerase chain reaction (PCR), chromatography, mass spectrometry and flow cytometry
• can give an account of the structure and measuring techniques of selected instruments
• is familiar with quality assurance systems in laboratory work including accreditation
• is familiar with different sources of error and how they contribute to uncertainty in analysis results
• can describe selected methods used in point of care analysis and self-testing and how these are quality assured.

Skills 

The student

• can perform fundamental biomedical analyses and use analysis instruments that are available in the course in an independent manner
• can follow procedures and creating his/her own simple procedures
• has basic skills in assessment of quality controls
• can assess which pipette techniques are suitable for different sample materials
• can control and adjust pipettes
• can adjust and use a microscope and perform basic maintenance

General competence

The student 

• can understand and perform basic laboratory work pursuant to given procedures in a manner that is accurate and assures quality

Work and teaching methods include lectures, seminars and laboratory work. 

Digital learning resources are made available for students before the laboratory sessions. The time in the laboratory is therefore generally not used to demonstrate how to solve the assignments. 

An individual three-hour written exam.

The exam result can be appealed.

All printed and handwritten aids.

Supervised individual written exam, combination of multiple choice and free text assignments, 3 hours. 

One examiner. The course may be selected for grading by external examiners.