EPN-V2

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
PhD Programme in Engineering Science
Weight
5.0 ECTS
Year of study
2020/2021
Curriculum
FALL 2020
SPRING 2021
Schedule
Programme description
Course history

Introduction

None.

Recommended preliminary courses

Master's degree in engineering science or related fields. Students are expected to have a basic understanding of the various phases of planning and implementing a research project and the academic writing process, including literature reviews, and analysing and reporting data

Required preliminary courses

Students who complete the course are expected to have the following learning outcomes, defined as knowledge, skills and general competence:

Knowledge

On successful completion of the course, the student:

  • has in-depth knowledge within specific topics in robotics and control that supplement the specialisation syllabus.
  • is at the forefront of knowledge within the topic of his/her doctoral thesis project.
  • has a profound understanding of the state-of-the-art and the latest developments in the field relevant to his/her doctoral thesis.

Skills

On successful completion of the course, the student can:

  • apply theoretical knowledge, scientific methods and simulation tools suitable for solving complex robotics and control problems.
  • plan and conduct scholarly work within the topic of his/her the doctoral thesis project.
  • analyse existing theories, methods and standardised solutions on practical and theoretical engineering problems.

General competence

On successful completion of the course, the student:

  • is competent in literature study, self-study and research-based learning
  • can apply his/her knowledge and skills to carrying out advanced tasks and projects.
  • can communicate issues, analyses and solutions to both specialists and non-specialists.
  • can assess the need for, and initiate innovation in his/her field of expertise.

Learning outcomes

The course is carried out by research-based learning and a major study based on individual work, and is supervised by one or more supervisors (internal/external).

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

None.

Course requirements

The exam consists of individual assignment (report), and an oral seminar and examination (30 minutes per student), of which both must be passed in order to pass the course.

The oral examination cannot be appealed.

Assessment

Pass or fail.

Permitted exam materials and equipment

Two internal examiners. An external examiner is used periodically.

Grading scale

Pass or fail.

Examiners

Two internal examiners. External examiner is used periodically.