EPN-V2

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
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.