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2019/20 Undergraduate Module Catalogue

BLGY1304 Research Experience and Skills Level 1

10 creditsClass Size: 100

Module manager: Dr Tom Bennett
Email: T.A.Bennett@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2019/20

This module is mutually exclusive with

BLGY1306Research and Study Skills Level 1

Module replaces

BLGY1302 (part)

This module is not approved as a discovery module

Objectives

The aim of the module is to introduce the students to the thought processes and essential communication skills required to be a successful scientist. The objectives of the tutorial component are to:
- enhance the ability to use library and other resources;
- develop the skills required to present written reports;
- solve analytical problems and gain numerical skills;
- argue a case persuasively;
- develop/practice skills required for the preparation and delivery of oral presentations with the use of basic visual aids.

Learning outcomes
On completion of this module students should be able to demonstrate the ability to:
- explain the scientific method and analyse data;
- read, comprehend and discuss scientific literature;
- conduct literature searches and demonstrate skills in using library resources;
- write formal scientific communications and explain scientific concepts;
- effectively delivery oral presentations incorporating skills gained in the module;
- discuss current issues relating to the public awareness of science, from a rational, scientific standpoint.

Skills outcomes
This module is about developing academic skills which will support your learning throughout your degree course. During the course of the module you will learn to research information, analyse it and present it in various formats for example as an essay or an oral presentation using appropriate visual aids. You develop skills in data analysis and/or experimental design. However these skills are also of value to future employers as most graduate jobs whether in biology or more broadly require the ability to research, analyse and present information in a variety of formats.

Students will develop academic skills which will support your learning throughout your degree course in the context of specific research areas, thereby gaining experience of cutting edge research in the fields of zoology and ecology. This is designed to provide greater insight into the scientific method and provide first-hand experience of the breadth of research and current issues in fields of study relevant to their programme of study. The skills developed in this module will provide the foundation for developing into independent learners.


Syllabus

Research is the most exciting aspect of science and of biology. It is only through rigorous observation and carefully designed experimental programmes that we expand our knowledge of the world around us.

Being able to design and carry out experiments, analyse and present the results, is therefore paramount to being a biologist.

This module will allow students to work on small research projects as part of a team, supervised by a tutor, to discover new things about selected study systems and develop their research skills for the future.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture21.002.00
Seminar151.0015.00
Tutorial81.008.00
Private study hours75.00
Total Contact hours25.00
Total hours (100hr per 10 credits)100.00

Private study

75 hours of private study; preparing for tutorial group sessions and completing assessed coursework.

Opportunities for Formative Feedback

Students' progress is monitored by their tutors through assessed work and attendance of and performance in the tutorial sessions.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Report.25.00
Presentation.25.00
Report.25.00
Presentation.25.00
Total percentage (Assessment Coursework)100.00

In-course assessments will be set by your tutor: 2 in semester 1 and 2 in semester 2. These will be a combination of oral presentations and written reports which include a literature component and data analysis.

Reading list

There is no reading list for this module

Last updated: 27/11/2019

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