Programplaner og emneplaner - Student
ACIT4830 Special Robotics and Control Subject Course description
- Course name in Norwegian
- Special Robotics and Control Subject
- Study programme
-
Master's Programme in Applied Computer and Information Technology
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Curriculum
-
SPRING 2023
- Schedule
- Programme description
- Course history
-
Introduction
The course provides an arena where students can learn about specific technologies and methods that are relevant for applications in robotics and control. These themes can be varied from;artificial intelligence methods;for robotics and control, Internet of Things and;sensor network systems, autonomous; and distributed systems, embedded systems,;industrial process control, and other special subjects;within robotics and;control.
The first part of the course is organised as a series of lectures and seminars. The second part of the course is a practical project. The course is completed by the students submitting a report and giving a presentation of their work.
Recommended preliminary courses
Robotics and Control;courses:
- ACIT4810 - Advanced Methods in Modelling, Simulation, and Control
- ACIT4820 - Applied Robotics and Autonomous Systems
Required preliminary courses
Se mer utfyllende omtale av praksis i programplanen
Learning outcomes
Antall dager veiledet praksis:
- 25 dager pedagogisk praksis i videregående skole
Praksis skal være veiledet og vurdert, det er praksislærer som vurderer praksis
Hvis en student ikke består en praksisperiode kan denne gjennomføres på nytt. Får studenten vurdert samme praksisperiode til ikke bestått to ganger må studiet avbrytes, jf. § 8-2 i forskrift om studier og eksamen ved OsloMet - storbyuniversitetet
Teaching and learning methods
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 this course the student:
- has basic knowledge of point set topology
- has basic knowledge of measure theory
- has basic knowledge of Fourier analysis
- has basic knowledge of complex function theory
Skills
On successful completion of this course the student:
- is able to prove some of the most fundamental results of mathematical analysis
- is able to apply basic notions and results in proofs and derivations
General competence
On successful completion of this course the student:
- is able to understand literature within these topics
- can transfer with trust this understanding to own research.
Course requirements
None.
Assessment
Individual oral exam.
The oral exam 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 applying 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.
Permitted exam materials and equipment
For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Grading scale
Two internal examiners. External examiner is used periodically.
Examiners
Professor Lars Tuset
Course contact person
- General topology, including locally compact Hausdorff spaces
- Measure theory, including Riesz¿ representation theorem
- Completeness of Lp spaces, product measures, and complex measures with the Radon- Nikodym theorem
- Fourier analysis, including the inversion theorem
- Complex function theory, including the Cauchy- and Liouville theorems, and harmonic functions
Lecturer might exclude or include topics depending on the students attending the course.