MINA310 Project Management and Research Methods
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2017 - 2018 .
Course responsible: Lindis Skipperud
Teachers: Deborah Helen Oughton, Brit Salbu
ECTS credits: 10
Faculty: Faculty of Environmental Sciences and Natural Resource Management
Teaching language: EN
Limits of class size:
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel, final delivery in January block. There will also be one week intensive teaching in the Autumn Parallel.
Course frequency: Annually
First time: 2007H
Last time: 2018V
M-RAD, M-MINA, M-BIOL.
Research methods: Statistics and data handling, database and literature resources, efficient scientific writing Project management: Design (stats), implementation and management of projects. Introduction to generic management/statistical tools.
The students will be competent in designing research projects (Master projects), analysing and evaluating data using appropriate statistical techniques, extract literature, and critical evaluated available data for their own use. They will be trained in making oral and written presentations.
Lectures, Database search, datahandling, project design.
Lectures and other information needed will be available at Canvas.
Organinsation and management of research- codes of conduct- ethical issues- policy versus academic research- corporate policies, contact management. Report presentation, style, format and technical writing- verbal presentation including material organisation and delivery, development of visual aids- handling questions and post-presentation auditing. Executive meetings, protocols and communication skills. Experimental design, analysis and interpretation- project planning and pilot study. Analysis of environmental data using different techniques. Interactive computing skills: advanced word processing, analytical packages, spreadsheets, literature search and the Internet as a learning resource. Learning material: Module handbook and different research articles, handbooks and handouts.
Coursework 100%. Eight pieces of coursework to assess students ability to enterpret data and apply statistical techniques. One project proposal with presentation to demonstrate students ability to design and plan a MSc project. Analysis of given cases, workshops/tutorials.
The final written research proposal, describing the future MSc project work, will be evaluated and given the grade passed or not passed. To pass the course, a grade corresponding to C is needed. The project description needs to be written in English
Lectures and and supporting computer laboratories to impart knowledge and applied workshops to familiarise with various statistical techniques: 60 hours. Other study hours: 140 hours. Total hours per semester: 200 hours.
Special requirements in Science
Reduction of credits:
5 credits versus ECOL300
Type of course:
Lectures and supporting computer laboratories to impart knowledge and applied workshops to familiarise with various statistical techniques: 40t (intensive week). Other study hours: 160 hours. Total study hours per semester: 200 hours. Other study hours: interpret data, literature search, design and plan a MSc project, make a presentation.
The course will be held in close collaboration with Dr. Huw Jones from Middlesex University, UK. Due to their coming, there is a need of one intensive week of teaching in the parallell.
An external examiner as described in NMBUs rules will evaluate the project description.
Examination details: :