EPN-V2

ELFT2400 Control Systems Course description

Course name in Norwegian
Kybernetikk
Weight
10.0 ECTS
Year of study
2023/2024
Course history
Curriculum
SPRING 2024
Schedule
  • Introduction

    Admission requirements.

  • Recommended preliminary courses

    The course has an overlap of 10 credits with KJFP2200, MATS2200 and ELFE2600.

    The course has an overlap of 5 credits with KJTF2311 and KJTF2310.

    Under the rule that students have three attempts to take an exam, attempts in equivalent courses also count.

  • Learning outcomes

    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 is capable of explaining:

    • probability, probability calculation and probability distribution
    • basic statistical processing of measurement data
    • confidence and significance, confidence intervals and hypothesis testing, variance analysis
    • errors and uncertainty, error accumulation and uncertainty estimates
    • calibration and calibration curves
    • what a risk assessment is, how a risk assessment is conducted, common methods used and how risk assessment is used in risk management
    • quality control and quality assessment principles

    Skills

    The student is capable of:

    • assessing uncertainty and sources of error in measurement results
    • using statistical methods to interpret and quality check measurement results
    • performing risk assessments of various problems and interpreting and presenting the results of the analysis as a contribution to decisions concerning risk and quality

    General competence

    The student:

    • has basic insight into quality assessments and requirements
    • 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 statistical methods for the processing and interpretation of measurement data
    • has a basic understanding of ethical issues relating to risk assessment, the use of risk acceptance criteria and how risk assessments can be used and abused
  • Teaching and learning methods

    The teaching will mainly consist of lectures and exercises.

  • Course requirements

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

    • Two individual written assignments (1-10 pages each), which correspond to a total of approximately 15 hours of work.
    • One project assignment in groups, 1-5 students per group, which corresponds to approximately 10 hours of work per student.

  • Assessment

    Individual written exam, 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.

  • Permitted exam materials and equipment

    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.

  • Grading scale

    Grade scale A-F.

  • Examiners

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