Core Module Information
Module title: Scientific Communication and Data Handling

SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: BMS09113
Module leader: Peter Barlow
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:

The aim of this module is to develop your scientific communication, data handling and interpretation skills and provide you with the key skills to undertake scientific investigations. There?will be a focus on locating appropriate scientific sources,?developing effective reading strategies, and developing?critical reading and writing skills. The difference?between being descriptive and critical, scientific and reflective writing styles, and how these are used in scientific publications and writing will be considered. Data analysis, including how to organise, manage and present data as well as an introduction to statistical analysis will be taught, enabling you to become familiar with data analysis tools. A key focus will be on the evaluation and synthesis?of scientific concepts from research articles into an oral presentation that will be presented to the class. You will be expected to use and become familiar with MS Office packages including Word, PowerPoint and Excel for the analysis and presentation of your data.

Learning Outcomes for module:

LO1: Summarise and present data using appropriate graphs and descriptive statistics using standard tools such as Excel.

LO2: Have a basic understanding of statistical analysis including how to manipulate data to find parameters such as errors and standard deviations.

LO3: Evaluate and synthesise information from a variety of sources into a written piece of work which is fully referenced.

LO4: Present scientific data in a clear and concise manner to an audience of your peers, and be able to answer questions confidently and effectively.

Full Details of Teaching and Assessment
2022/3, Trimester 2, FACE-TO-FACE, Edinburgh Napier University
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: SIGHTHILL
Partner: Edinburgh Napier University
Member of staff responsible for delivering module: Peter Barlow
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
A mixture of face to face and independent learning will be employed on this module to support your learning. Face to face teaching will involve lecture and smaller group tutorial classes to cover key concepts. Smaller group sessions will allow discussion of key challenges and focus on deepening your understanding of key concepts and ideas. You will be taught to use a variety of data presentation and analysis tools, for example Excel (LO1). Data analysis and an introduction to statistics will be taught within group sessions in class but you will be expected to work independently using a range of resources provided online via Moodle to develop your knowledge and practice your skills in preparation for assessment submissions (LO2 & 3). Assessment will consist of two components (LO1 - 4). To ensure every learner is as active as possible, all classes will contain collaborative interactive exercises, and questions are encouraged within all face to face teaching and via Moodle.

Formative Assessment:
Formative assessment opportunities will be available throughout the module with a series of quizzes to test your interpretation of data analysis and understanding of statistics (LO2). This will enable you to gain an understanding of your progress with the subjects and help to prepare you for the final summative assessment. Drafts will be discussed in class and examples of good practice will be shared during teaching sessions to help you to understand the requirements of a well written submission (LO1 & 4).

Summative Assessment:
The summative assessment for this module is composed of two components. Component 1 covers LO’s 1 and 2 and deals with data analysis and basic statistics, and is composed of a short report on some pre prepared data to be analysed, presented, and interpreted and is worth 60% of the mark (LO1 and 2). Component 2 is composed of two elements. The first will be a fully referenced, short, written abstract, summarising a collection of articles on a subject of choice related to the programme of study (LO3). This will be worth 20%. The second element will take the form of a presentation based on the written abstract to the class to share your knowledge and understanding of the topic of choice (LO4) and will also be worth 20% of the overall mark.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 24
Face To Face Tutorial 12
Independent Learning Guided independent study 164
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 60 1 and 2 7 , WORDS= 800
Oral Presentation 20 4 13 HOURS= 00.10
Report 20 3 (abstract) 10 , WORDS= 500
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
Scientific Communication and Data Handling