Programplaner og emneplaner - Student
ACIT4720 Medical sensors and actuators Course description
- Course name in Norwegian
- Medical sensors and actuators
- Study programme
-
Master's Programme in Applied Computer and Information TechnologyMaster's Programme in Applied Computer and Information Technology, Elective modules
- Weight
- 10.0 ECTS
- Year of study
- 2024/2025
- Curriculum
-
FALL 2024
- Schedule
- Programme description
- Course history
-
Introduction
None.
Required preliminary courses
After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The students will obtain
- a basic understanding of contemporary research based knowledge in organizational behavior and leadership. They will also become familiar with the most important topics, concepts, and contributions, which include:
- individual differences and diversity
- attitudes and decision making
- communication
- perceptions and learning
- motivation and team processes
- leadership and organizational culture
Skills
The students will be able to
- critically examine and use different theoretical approaches and perspectives from the subject area to understand and analyze challenges and dilemmas relating to human behavior in organizations
- use knowledge from organizational behavior and leadership theories as well as empirical evidence when making and implementing decisions in organizations
- write a term paper clear and concise
General competence
The students will
- be able to communicate and discuss the major theories and research findings from this field, orally and in writing.
- acquire skills in critical reflection on the subject area's possibilities and limitations.
- convey knowledge through presentation and discussion.
Learning outcomes
Various work methods will be used such as lectures, discussions about current issues, and assignments. A focus will be on learning how to write academic term papers. The students are expected to work on assignments both individually and in groups outside of the joint lectures.
Content
Grade scale A-F.
Teaching and learning methods
The following coursework requirements must have been approved in order for the student to take the exam:
- Coursework 1: The students are required to, in groups of 2-5 people, give an oral presentation of a research paper. For the presentation, the time allocated for each article or case is about 20 minutes including class discussion. The presentation will be evaluated on content, critical reflection and discussion, presentation style, and one discussion question to be presented for class discussions.
The goal of the coursework is for students to familiarize themselves with research articles in the field and gain experience in presenting in front of a group.
All required coursework must be completed and approved by the given deadline in order for the student to take the exam. If the coursework requirements has not been approved, the student will be given the opportunity to submit an improved version one time by the given deadline.
Course requirements
The exam in the course is a semester paper written in groups of 3-4 students. The paper must have a scope of 4000-6000 words. Students receive feedback on their topic choice and on a first draft in a mandatory feedback session during the semester. Font and font size: Arial / Calibri 12 points. Line spacing: 1.5.
The term paper must be written in English.
Students awarded a fail grade are given one opportunity to submit an improved version of the assignment for assessment.
Assessment
A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
On successful completion of the course the student:
- knows the relevance of a selection of mathematical models to real-world phenomena
- has a thorough understanding of how mathematical modelling and scientific computing are utilized in various industrialized settings
- has a repertoire of methods to solve and/or analyze ordinary and partial differential equations (ODEs and PDEs)
- knows how to analyze the dynamics of an ODE system
Skills
On successful completion of this course the student can:
- derive mathematical models from facts and first principles
- apply mathematical modelling techniques on scenarios relevant to industry
- can implement mathematical models on a computer
- analyse ODE systems and use bifurcation theory to elucidate the qualitative behavior of the systems
- implement and use a selection of numerical methods for solving ODEs and PDEs
General competence
On successful completion of this course the student:
- is aware of the usefulness and limitations of mathematical modelling as well as of pitfalls frequently encountered in modelling and simulation
- is able to discuss properties of a system using the equations of the mathematical model
- can explain and use numerical methods and interpret results of numerical simulations
Permitted exam materials and equipment
Grade scale A-F
Grading scale
The exam papers are assessed by one internal and one external examiner.
At least 25% of the exam papers will be assessed by two examiners. The grades awarded for the papers assessed by two examiners form the basis for determining the level for all the exam papers.
Examiners
The assessment will be based on a portfolio of the following:
- One individual project delivery consisting of a report (2000 - 4000 words)
- An individual oral examination (30 minutes)
The portfolio will be assessed as a whole and cannot be appealed.
New/postponed exam
In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.
Course contact person
All aids are permitted, provided the rules for plagiarism and source referencing are complied with.
For the oral exam, students will only have access to the project report.