Course - Scientific theory and methods - IP500817
IP500817 - Scientific theory and methods
This course is no longer taught and is only available for examination.
Examination arrangement: Project
Grade: Letter grades
|Evaluation||Weighting||Duration||Grade deviation||Examination aids|
1. Introduction to science - Historic philosophic concepts of science (Aristotelian heritage and its transformation over the centuries) - Differences in science traditions 2. Research Ethics - Science, ethics and society - Research ethics - Perspectives, norms, objectivity and subjectivity - Plagiarism and copying, referencing 3. Research methods - Constraint understanding for research planning/practical issues - Frameworks of data collection within the different research methods - Qualitative x Quantitative - Applied statistical methods 4. Research Documentation and Communication - Literature surveys and annotated bibliography - (How to not re-invent the wheel) - How to plan, organize and write a master thesis, conference paper, journal paper or a technical report. - Structure of the thesis - Language (scientific terminology) and References
Learning outcome: know the body of techniques for investigating phenomena, acquiring new knowledge, or correcting and integrating previous knowledge. knowledge of the differences between observable, empirical and measurable evidence. basic skills in using a practical approach towards scientific investigations. T be able to plan, conduct experiments and gather observable, empirical and measurable evidence (data) to support a hypothesis. has practical understanding to create a common sense based experimental design. is able to apply basic statistical methods to analyze and validate data (exploratory statistics up to the level of One-way Analysis of Variance (ANOVA)). shall have basic skills and knowledge in validating data with regards to errors and other restrictions related to the experimental setup. has gained the pre-requisite to take an advanced course in statistical experimental design (Statistical DOE). be able to communicate his/her research through reports, scientific papers, and oral presentations. able to approach a research problem by applying practical approaches to scientific investigation, collection of data through observation and experimentation, and the formulation and testing of hypotheses. Most importantly understand the iterative nature of this process.
Learning methods and activities
Teaching methods and activities: Lectures, In-class exercises, project work & regular homework. Mandatory assignment: 3 project works.
- Mandatory assignments
Further on evaluation
Project work (100%).
Admission to a programme of study is required:
Naval Architecture (850MD)
Product and System Design (845ME)
Product and System Engineering (840MD)
Recommended previous knowledge
Engineering BSc, Statistics for engineers
Credits: 7.5 SP
Study level: Second degree level
Language of instruction: English
- Marine Technology
- Ann Rigmor Nerheim
- Henrique Murilo Gaspar
- Henry Peter Piehl
- Houxiang Zhang
- Karl Henning Halse
- Vilmar Æsøy
Department with academic responsibility
Department of Ocean Operations and Civil Engineering
Examination arrangement: Project
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Project 100/100 INSPERA
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"