course-details-portlet

IP500817 - Scientific theory and methods

About

Examination arrangement

Examination arrangement: Assignment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Assignment 100/100

Course content

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. The relationship between basic research, applied research and action research4. Research methods 

Constraint understanding for research planning/practical issues

Methods to do research that DO NOT involve human subjects

 

 

Field

Controlled-laboratory based

Simulation based

Methods to do research that involve human subjects

Field

Controlled-laboratory based

Simulation based

Frameworks of data collection within the different research methods

Qualitative

Quantitative

Applied statistical methods

5. 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

Language (scientific terminology)

References

Etc.

Learning outcome

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.

Compulsory assignments

  • Obligatoriske arbeidskrav

Further on evaluation

Project work (100%).

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Product and System Design (840MD)
Ship Design (850MD)

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2019

Term no.: 1
Teaching semester:  SPRING 2020

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Marine Technology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Ocean Operations and Civil Engineering

Phone:

Examination

Examination arrangement: Assignment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Assignment 100/100

Submission 2019-12-06

INSPERA
Room Building Number of candidates
Spring ORD Assignment 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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