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BIOL2461: ECOLOGY

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type Open
Level 2
Credits 20
Availability Available in 2024/2025
Module Cap
Location Durham
Department Biosciences

Prerequisites

  • Level 1 Organisms and Environment BIOL1161.

Corequisites

  • At least one other level 2 Biological Sciences module.

Excluded Combinations of Modules

  • None.

Aims

  • To study the interactions that determine the distribution and abundance of organisms.
  • To develop concepts of evolutionary history for understanding distributions and abundance of organisms.

Content

  • Ecological niches and life-history attributes.
  • Models of population dynamics.
  • Population estimation techniques.
  • Community ecology and biodiversity.
  • Metapopulations and biogeography.

Learning Outcomes

Subject-specific Knowledge:

  • Knowledge of how the life histories of organisms and their ecological niches are inter-related.
  • Knowledge of the theoretical bases for models of population dynamics.
  • Knowledge of how theories of population dynamics are extended to incorporate species interactions, and thus biodiversity.

Subject-specific Skills:

  • To be able to relate theoretical concepts in ecology to an applied context, for example population harvesting and conservation biology.
  • To be able to apply problem-solving skills to quantitative problems in data collection and data analysis, population estimation and ecological modelling at an intermediate level.

Key Skills:

  • Numeracy, in data analysis, and calculations involved in data handling problems.
  • IT skills, in use of statistics software packages.
  • Communication skills and graphics.
  • Team work.
  • Self-motivation, in self-guided learning.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures deliver subject-specific knowledge.
  • Workshops reinforce subject-specific knowledge and understanding gained from lectures and the development of key and subject-specific skills.
  • Practical Exercises allow students to utilise subject-specific knowledge gained from lectures, and support the development of key and subject-specific skills.
  • Tutorials give enhancement of the student learning experience, supporting attainment of all learning outcomes.
  • Self-guided learning contributes to subject-specific knowledge and self-motivation.
  • Analytical exercise (data handling and interpretation) demonstrates subject-specific skills in data handling and key skills in data analysis and interpretation applied to Ecology.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures24BlockBlock24 
Practical Exercises3BlockBlock6Yes
Workshops6 3 per term1-2 hours8Yes
Tutorials21 per term1 hour2Yes
Preparation & Reading160 
Total200 

Summative Assessment

Component: Continuous AssessmentComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Practical skills and data analysis 50Yes
Oral presentation 50Yes

Formative Assessment

Formative assessments will be provided to develop the skills for each summative assessment as appropriate.

More information

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