Professional Skills 1 - SFB1510

Assessment 1: In-Class Test

Formative tests in numerical and statistical analysis.

In-Class Test

Assessment 2: In-Class Test

Assessment 3: Written Assignment

Written assignments in mathematics and statistics consisting of 10 answers to specific questions based on the analysis of data the students will have to complete at home.

Written assignment

Assessment 1: Written Assignment

A written report on a biomedical science topic including referencing plus an oral presentation

<p>This module provides Key Year 1 skills for successful completion of an Honours Degree in Biomedical science. Students gain early awareness of career pathways in Biomedical Science, HCPC registration and the IBMS Registration Training Portfolio from qualified Biomedical Scientists. Basic generic skills involving literacy, numeracy and use of IT are applied to summarising, understanding, interpreting and presenting data generated by laboratory investigations. Throughout the module the emphasis is on learning the skills that will be used in various parts of the degree programme. Acquisition of learning skills takes precedence over memorising facts. Learning about current topics in biomedical science involves finding peer-reviewed scientific literature (using library facilities and database searches), and summarising it with source attribution as a report using correct scientific style. Basic statistics is taught using spreadsheet and statistics programs. Students build up a portfolio of evidence relating to their skills for Personal Development Planning.</p>

School of Applied Sciences

<p><a href="https://library.hud.ac.uk/readinglists/SFB1510">https://library.hud.ac.uk/readinglists/SFB1510</a></p>

Biomedical & Life Sciences

SFB1510 - Professional Skills 1

Professional Skills 1

enter data correctly into a recognised statistical software package and select appropriate statistical and graphical techniques.

be aware of the basic facilities provided by typical word-processing, database, spreadsheet and statistical programs.

be familiar with university facilities for electronic teaching support.

test observed frequencies against with expected values.

access relevant information on the Web and Intranet

extract, organise and summarise information.

carry out an appropriate statistical test between two or more groups of replicated data and interpret the result(s).

calculate a correlation coefficient and regression equation, interpret both and draw the best fitting line for the latter.

take responsibility for their own learning processes with guidance from staff.

handle computations and manipulations of numerical data.

Understand the importance of maintaining continual professional development .

use a scientific calculator effectively and competently.

calculate appropriate descriptive statistics for a group of (replicate) data.

select, with reasoning, appropriate methods of basic data manipulation and analysis to practical situations encountered in other modules.

operate effectively in the Windows environment.

understand and analyse the significance of a biological topic of current interest.