ECOL340 Exploring and Analyzing Data in Ecology and Natural Resource Management
Credits (ECTS):5
Course responsible:Richard Bischof
Campus / Online:Taught campus Ås
Teaching language:Engelsk
Limits of class size:30
Course frequency:Annually
Nominal workload:125 hours
Teaching and exam period:This course starts in the autumn parallel. This course has teaching/evaluation in the autumn parallel.
About this course
Learning outcome
Knowledge: After completing the course, students will possess the conceptual and practical knowledge necessary to work with their own data during thesis preparation.
Skills: After completing the course, students shall have the skills to perform the following:
- Basic programming in R
- Data preparation (import, quality control, formatting)
- Data visualization and exploration (graphs, summaries, tabulation
- Statistical tests and models
- Interpreting and presenting results (inferences, predictions, graphs)
Competence: After completing the course, students shall possess the competence to explore and analyze data with R, today's primary statistical software. This competence can serve as a basis for adding more advanced analytical tools and specialized methods to the student’s repertoire during future studies.
- Lectures and hands-on exercises. Group work forms an important part of the course.
- The teachers are present or available for individual questions during teaching session and normal office hours. In addition, 1-hour long weekly tutorial sessions are offered in parallel with the course.
- A completed bachelor degree and at least one course in statistics.
- Students should have chosen a topic for their master's thesis and have access to data to work with during the course (either their own or their supervisor’s).
- Formative evaluation throughout the course. The final grade is determined based on performance during 8 short assignments which students are to complete (mostly R scripts) and deliver weekly. Assignments involve a combination of individual and group work. The collection of all weekly assignments to be delivered by a student constitutes one "mappe".
- An external censor evaluates the mandatory assignment setup which is then used to score student performance.
- First lecture is compulsory. In addition students are required to attend a minimum of 75% of teaching sessions.
Registration deadline is August 31.
Students should have chosen a topic for their master's thesis and have access to data to work with during the course (either their own or their supervisor’s).
- 36 houres.
- M-ECOL, M-NF, M-SF, M-MINA, M-REIS, M-FORNY
- Letter grades
- Special requirements in Science