麻豆网

Overview

Studying forestry and woodland management requires a diverse toolset of field, laboratory, and data analysis skills, and this 30-credit module aims to give students a broad introduction to these in a degree-relevant framework. You will learn to develop hypotheses and collect, record, and present data.

Students will participate in several laboratory practicals and field trips to develop their practical skillset. They will develop data analysis skills through workshops and lectures that will further support skill development. Within this framework, students will learn to develop hypotheses and collect, record, and present data.

Assessment Strategy

• threshold (Grade D; mark range 40-49%)

A threshold student should have a basic knowledge of the essentials of hypothesis formulation, data collection in both the laboratory and the field, and appropriate analysis methods presented in the module. Written and practical work should demonstrate a basic ability to synthesise and interpret data from lectures, readings, and practicals in a structured and logical manner, and all assessments should demonstrate the general capacity to organise acquired knowledge.

-good (Grade C and B; mark range 50-69%)

-A good student should have and demonstrate thorough factual knowledge and relevant skills across all aspects of the module and be able to cite examples and case studies where appropriate. Written and practical work should demonstrate an ability to appropriately tackle the subject and to synthesise lecture material and some information from background reading into coherent arguments.

-excellent (Grade A; mark range 70-100%)

-An excellent student should have a high level of detailed practical and factual knowledge across all aspects of the module and be able to execute the scientific method as it pertains to hypothesis formulation, data collection, and analysis, using examples and case studies where appropriate. Written and practical work should demonstrate an ability to think critically about the subject and to integrate and synthesise practical and lecture material, respectively. All written work should be evidenced with background reading in support of detailed, developed arguments.

Learning Outcomes

• Carry out sample selectionm, record and analyse data in the field and/or the laboratory, ensure validity, accuracy, calibration, precision, replicability and highlight uncertainty and possible bias during collection.

• Demonstrate an ability to prepare, process, interpret and present data, using appropriate qualitative and quantitative techniques.

• Obtain, record, collate and analyse data using appropriate techniques in the field and/or laboratory, working individually or in a group as required.

• Students will demonstrate an ability to undertake field and/or laboratory investigations of living systems in a responsible, safe and ethical manner.