Core Module Information
Module title: Species Identification Skills (distance learning)

SCQF level: 11:
SCQF credit value: 10.00
ECTS credit value: 5

Module code: ENV11420
Module leader: Emilio Pagani-Nunez
School School of Applied Sciences
Subject area group: Life Sciences
Prerequisites

There are no pre-requisites for this module to be added

Description of module content:

Species Identification Skills (online) is designed to provide you with foundational knowledge and practical experience in species identification, focusing on the most representative taxonomic groups worldwide. The module is developed entirely online and emphasises the development of practical skills required for accurate species identification. You will learn to recognise key species all around the world and understand their ecological significance, skills upon which it will be possible to build more specialised local knowledge.

Learning Outcomes for module:

LO1: Discriminate the most representative taxonomic groups worldwide.
LO2: Test your competence to employ taxonomic keys and field guides.
LO3: Critically reflect on species identification challenges across the studied taxa.

Full Details of Teaching and Assessment
2023/4, Trimester 2, ONLINE,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: ONLINE
Location of delivery: ONLINE
Partner:
Member of staff responsible for delivering module: Emilio Pagani-Nunez
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Online Practical classes and workshops 12
Independent Learning Guided independent study 72
Online Lecture 8
Online Seminar 8
Total Study Hours100
Expected Total Study Hours for Module100


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Class Test 60 1,2 HOURS= 00.30
Oral Presentation 40 1,2,3 HOURS= 00.10
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
Contact your module leader