DATA3770 Health technology project Course description

The students will carry out an IT project in cooperation with a relevant health care environment, for instance at the Faculty of Health Sciences at OsloMet, individually or in groups of up to five students.

In addition to the projects on offer, students can find their own projects within a relevant company, public organization or nonprofit. In this case, it is the student's responsibility to find a supervisor for the project within the external organization. All student-initiated projects must be approved by the course coordinator before the start of the project. 

Completion of the course requires a placement in the relevant health care environment corresponding to two days a week over a 12-week period.If the project is carried out during the summer, the work must correspond to four days a week over a six-week period.

The elective course will only run if a sufficient number of students a registered.

Grade scale A-F.

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:

• is capable of identifying and discussing key issued related to e-health and health technology
• has a fundamental understanding of processes and organisational structures in the health service
• has a fundamental understanding of the rules and requirements relating to ethics, security, and data protection that form the basis of e-health and health technology

Skills

The student:

• masters fundamental health concepts and is able to communicate with health personnel by using these concepts
• is familiar with the most important development methods that are used in health technology
• is capable of solving practical problems relevant to industry or society in the area of e-health and health technology

General cmpetence

The student is capable of:

• applying technical principles together with a fundamental understanding of health subjects in order to solve relevant problems within health technology and e-health
• communicating professional issues in the areas of health technology and e-health clearly in both written and oral form
• assessing how an e-health project must relate to rules and regulations, ethics, security and data protection

The students shall acquire basic knowledge of the use of quantitative methods in analytical chemistry. The course includes training in relevant analytical techniques and instrumentation methods for the recording and processing of measurement data. Handling of errors, uncertainty estimates and quality assurance in quantitative analytical chemistry will also be addressed. 

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 knows the principles that form the basis for:

• Data processing and statistical analysis of measurement data
• quantitative methods with the use of internal and external standards and standard addition
• acid and base equilibria, preparation of buffer solutions
• molecular spectroscopy techniques such as UV-VIS and fluorescence spectroscopy
• atom spectroscopy techniques such as flame spectroscopy and ICP
• detection limit determination, sources of noise in spectroscopy and chromatography
• chromatographic separation, descriptions of column efficiency and separation ability
• chromatographic techniques such as gas chromatography and liquid chromatography
• quality control and quality assurance in a chemical laboratory

Skills

The student is capable of:

• performing quantitative analyses in accordance with specific procedures
• calibrating and adjusting common measurement instruments
• assessing sources of error and calculating the uncertainty in analytical measurements
• choosing the appropriate laboratory equipment and using it correctly
• using different chromatographic and spectroscopic techniques and using the instrumentation correctly to produce reliable measurement data
• using software to aquire and process data from chemical instrumentation
• using Excel and other relevant software packages in data processing and interpretation

General competence

The student:

• has basic knowledge of quality requirements in a chemical laboratory
• is capable of performing quantitative analyses using different quantification techniques and separation and measurement methods
• has insight into statistical methods for the processing of chemical measurement data
• has knowledge of how accuracy and precision in measurement results are affected by sources of error and uncertainty in instrumentation, procedures and work techniques
• has insight into the application, limitations and functioning of spectroscopic and chromatographic methods

The teaching is organised as lectures, exercises and laboratory instruction.

The following coursework is compulsory and must be approved before the student can sit the exam:

• 1-day laboratory workshop, no written assignments (4 h, groups of 10-15 students)
• 3-day laboratory course with 3 written assignments (one individual and two in groups of 2-4 students, 10-20 pages per assignment)
• Some exercise sessions related to the laboratory course will be compulsory. These sessions will be announced separately.

Individual written exam under supervision, 3 hours.

The exam result can be appealed.

In the event of a resit or rescheduled exam, oral examination may be used instead of written. If oral exams are used for resit and rescheduled exams, the exam result cannot be appealed.

A handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator's internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.