Programplaner og emneplaner - Student
PENG9200 Scientific Research Methods and Data Analysis in Engineering Science Course description
- Course name in Norwegian
- Scientific Research Methods and Data Analysis in Engineering Science
- Study programme
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PhD Programme in Engineering Science
- Weight
- 5.0 ECTS
- Year of study
- 2020/2021
- Curriculum
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FALL 2020
SPRING 2021
- Schedule
- Programme description
- Course history
-
Introduction
This course covers two central areas of scientific research: the construction and justification of a research plan, and the subsequent analysis and interpretation of its implementation and of the resulting data.
The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.
Recommended preliminary courses
Grade scale A-F.
Required preliminary courses
The course provides basic knowledge of systems, units and functions in the discipline of industrial instrumentation.
Learning outcomes
No requirements over and above the admission requirements.
Content
The students will acquire a broad and concrete theoretical and practical perspective on the production and consumption of empirical research across the fields that compose engineering science. applied mathematics and physics in the broad sense, engineering and technology. They will be familiarised with how practical problems from these areas are translated into research questions and with how research problems can be defined in order to answer those research questions. The students will be introduced to a spectrum of quantitative, qualitative and mixed-method approaches, building on their exising expert knowledge, and learn how quantitative and qualitative analytical methods can provide insight into contemporary research issues in engineering science.
Teaching and learning methods
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 course provides the student with basic knowledge of systems design and industrial instrumentation, i.e.:
- instrumentation of unit operations
- basic instrumentation, hook-up drawings and instrument qualities
- control devices
- installation in potentially explosive atmospheres
- systems design
- PLC architecture
- PLC programming
Skills
The student is capable of:
- analysing systems with regard to systems design, instrumentation and PLC programming, and automating large-scale and small-scale industrial processes
General competence
The student:
- has an overall, detailed understanding of the automation and instrumentation of industrial processes in a project-related and operations-technical perspective
- has insight into the operation of industrial processes and how this is implemented in an efficient, financially sound manner
Course requirements
Lectures and laboratory assignments are central in the teaching.
Assessment
The following coursework is compulsory and must be approved before the student can sit the exam:
- 4 compulsory hand-in exercises. estimimated time 4 hours pr. each.
- 4 lab assignments with submission, estimimated time 5 hours pr. each.
Permitted exam materials and equipment
All aids are permitted.
Grading scale
Pass or fail.
Examiners
Exam is "Open book"