Scientific Literacy
Introduction to units
Concepts, principles and theories
- Why units are important
- What SI base units are
Manipulating and presenting data
- What the common metric prefixes are and how they relate to the base unit
- What the difference is in powers of 10 between different metric prefixes
- How to convert from small units to big units
- How to convert from big units to small units
- How to apply metric prefix conversions to calculations
Scientific numeracy
Concepts, principles and theories
- Define what is meant by accuracy and precision
- Define scientific notation and how we represent numbers in this format
- Define when it is appropriate to think in terms of decimal places and significant figures in a value
Manipulating and presenting data
- How to round a value to the requested decimal places or significant figures
- How to calculate percentage and percentage change
- How to write values as powers of 10
- How to convert between metric prefixes and apply to calculations
- How to determine the most suitable graph type for a given set of data
- Define what should be plotted on each axes of a graph and how to select suitable ranges
Interpreting and analysing data
- How to identify the slope and intercept value from the trendline equation
- How to rearrange the trendline equation to calculate the concentration of an unknown
- How to determine the central tendencies and distribution for a set of data
- How to identify outliers in a set of data
- How to rearrange and solve the C1V1 = C2V2, pH and proton concentration and ideal gas law equations
Micropipetting numeracy
Using instruments and equipment
- How to apply micropipetting skills and knowledge when identifying minimum, maximum and measured volumes using different types of micropipettes
- How to differentiate what each number in the display dial represents
- How to recognise appropriate actions in the case of the micropipette malfunctioning
Manipulating and presenting data
- How to convert volumes in millilitres to microlitres and vice versa
Moles and molarity
Concepts, principles and theories
- Define a mole
- Define molarity
Manipulating and presenting data
- How to use the periodic table to identify the molar mass of a substance
- How to calculate the number of moles from the mass and the molar mass
- How to rearrange the moles equation to isolate and calculate mass or molar mass
- Define molarity
- How to calculate the number of moles from the concentration and volume
- How to rearrange the moles equation to isolate and calculate concentration or volume
Calculating error
Manipulating and Presenting Data
- How to calculate the percent error in measurements
- How to use error propagation rules to determine the cumulative effect of errors
Interpreting and Analysing Data
- How to assess the significance of error on laboratory measurements
Concepts, Principles and Theories
- Identifying the absolute error for different types of laboratory glassware
Calculating pH
Manipulating and presenting data
- How to calculate the pH from the proton concentration
- How to calculate the proton concentration from the pH
- Define the relationship between pH and proton concentration
- How to determine the proton concentration of a strong acid
- How to determine the hydroxide concentration of a strong base
- How to calculate the proton concentration using the Kw equation
- How to calculate the pH of a resulting solution from a neutralisation reaction
Concepts, principles and theories
- How to apply the pH equation to different situations
Beer-Lambert equation
Manipulating and presenting data
- How to calculate the absorbance using the Beer-Lambert equation
- How to convert between metric prefixes
- How to rearrange the Beer-Lambert equation to isolate and calculate the concentration
- How to rearrange the Beer-Lambert equation to isolate and calculate the absorption coefficient
- How to calculate the absorbance using the light absorption ratio version of the Beer-Lambert equation
- How to rearrange the Beer-Lambert equation to isolate and calculate the percentage light exiting a solution
Concepts, principles and theories
- When to apply the fundamentals of Beer's Law to various solution scenarios
COSHH risk assessment
Working in a Safe Manner
- How to interpret hazard warnings
- How to identify safe procedures
Interpreting and Analysing Data
- How to interpret experimental methods and chemical SDS for use in a COSHH form
Concepts, Principles and Theories
- How to identify the use and components of the COSHH form
Solutions and Dilutions
Single step dilutions
Concepts, principles and theories
- When to utilise dilutions
Manipulating and presenting data
- What the C1V1 = C2V2 equation can be used to calculate
- How to rearrange the C1V1 = C2V2 equation to isolate each component
- How to identify which concentration or volume component needs calculating and then perform the relevant calculation
Dilution factors
Manipulating and presenting data
- How to calculate dilution factors from concentration
- How to calculate dilution factors from volume
- How to calculate volumes and concentrations knowing dilution factor
Interpreting and analysing data
- How to identify givens and unknowns in scenario based practice
Concepts, principles and theories
- How to identify the appropriate algebraic rearrangement to solve for unknowns
Serial dilutions
Concepts, principles and theories
- Define what is meant by a serial dilution and 10-fold dilution
Manipulating and presenting data
- How to calculate the dilution factor when given the concentrations of solutions in the series
- How to rearrange the dilution factor equation to calculate the successive concentrations in a serial dilution
- How to rearrange the dilution factor equation to calculate the volume of solution and diluent required for each step in a dilution series
Quantitative Skills (Available for: Biomedical Science, Chemistry, Pharmacy & Forensics)
Fundamental numeracy
Concepts, principles and theories
Working familiarity with terms such as decimal places, significant figures, precision, powers of 10, normalised scientific notation, reference ranges and more
Applying this familiarity to answer a range of questions in biomedical contexts
Manipulating and presenting data
Importance of portraying scientific values in different ways e.g to various precisions and in different notations
Converting values between different representational formats
Interpreting and analysing data
Making use of numerical data and text information from a biomedical experimental scenario
Using the skills learned throughout the sheet to interpret and analyse this data
Units and unit conversions
Manipulating and presenting data
How to convert values to scientific notation and select appropriate units
How to perform unit conversions within calculations involving concentration
How to calculate the concentration of a solution
How to calculate dimensions of microscopic objects
Concepts, principles and theories
How to identify which of two solutions is more concentrated
How to describe to what extent a change in volume affects the concentration of a solution
How to describe the process of converting a concentration from mg/mL to g/L
How to identify the type of white blood cell based on its size
Manipulating and presenting data
How to calculate centrifuge force based on radius and RPM
How to determine percentage of lymphocytes in a blood sample
How to calculate monocyte cell count based on percentage and total cell count
How to dilute solution volume from a stock solution
How to calculate number of moles in a mass of EDTA and molarity of an EDTA solution
Concepts, principles and theories
How to identify the variable that needs to be isolated in a dilution calculation
How to apply the mathematical operation to rearrange equations to isolate a specific variable
How to identify constants in formulae
Interpreting and analysing data
How to identify the likely type of a white blood cell based on its measured diameter
Data visualisation and graphing
Concepts, principles and theories
Why appropriate graph types must be used for varying data types
How to identify presentation issues in a scatter plot
Manipulating and presenting data
Choose appropriate data, axes and and plot elements to construct a graph
Calculate protein concentration using a scatter plot's trendline formula
Averages, spread and precision
Manipulating and presenting data
How to identify and calculate the outlying value in a patient dataset
How to determine to what extent a patient's blood glucose level compares to the standard deviation of a reference group
Concepts, principles and theories
How to differentiate between mean and median in datasets with and without outliers
How to identify whether a dataset demonstrates high or low accuracy and precision
Interpreting and analysing data
How to calculate mean, median and mode for patient blood glucose datasets
How to calculate the standard deviation for a patient dataset
How to calculate data ranges in specific standard deviations from the mean of the dataset
Statistical Principles (Biomed)
Data types and measurement
Manipulating and presenting data
How to record data and identify errors in data tables and lab books
Obtaining and recording data
How to assess and construct data results
Concepts, principles and theories
How to classify various types of data
Data display and distribution
Concepts, principles and theories
How to identify the correct equation for constructing histograms
Manipulating and presenting data
How to calculate data frequency for histogram construction
Interpreting and analysing data
How to interpret histogram distributions and results
Interpreting averages and quartiles
Manipulating and presenting data
How to calculate statistical values from various data sets
How to construct box plots
Interpreting and analysing data
How to interpret statistical values and plots
Variability and confidence intervals
Interpreting and analysing data
How to analyse and compare statistical values
Manipulating and presenting data
How to calculate standard deviation for various datasets
How to calculate standard error for various datasets
How to calculate confidence intervals for various datasets
Concepts, principles and theories
How to describe and predict statistical values
Correlation
Concepts, principles and theories
How to identify appropriate statistical values under different circumstances
Interpreting and analysing data
How to interpret statistical values
Statistical Tests
Statistical tests for comparing groups
Concepts, Principles and Theories
- Distinguish between falsifiable and non-falsifiable hypotheses
Interpreting and Analysing Data
- Identify dependent and independent variables
- Determine the number of groups being compared
- Distinguish whether the data is paired or independent
- Assess whether example data has a normal distribution
- Draw conclusions about which test to perform based on key characteristics of the study design
t-test fundamentals
Manipulating and Presenting Data
- How to identify the appropriate type of t-test
- How to calculate the t statistic and degrees of freedom
- How to obtain the critical value from t-distribution tables
Interpreting and Analysing Data
- How to define hypotheses
- How to assess whether example data meets the normality and equal variances assumptions
- How to drawing conclusions about t-tests results based on the p-value
Chi-square test (genetics)
Manipulating and presenting data
- How to categorise organisms into their phenotypic groups
- How to obtain the proportions of organisms with each phenotype from a data set
- How to calculate the chi-square statistic
Interpreting and analysing data
- How to define an appropriate null hypothesis
- How to interpret a chi-square statistic
- How to assess whether to reject the formulated null hypothesis based on the p-value obtained
Non parametric tests
Concepts, Principles and Theories
- Identify the type of data being measured as the dependent variable
Manipulating and Presenting Data
- Identify the appropriate type of non-parametric test to perform based on study features
Interpreting and Analysing Data
- Examine the features of non-parametric tests for comparing two groups
- Assess whether example data distributions are appropriate to analyse with non-parametric tests
- Interpret the output, and draw conclusions based on the results of a non-parametric test
ANOVA analysis
Concepts, Principles and Theories
- Identify the factor being investigated in a study
- Identify the limitations of the results of a one-way ANOVA
Interpreting and Analysing Data
- Examine the features of the one-way ANOVA
- Distinguish whether the group data are independent
- Assess whether example data sets have a normal distribution
- Compare variance in different data sets
- Interpret the output of tests, and draw conclusions based on the results of ANOVA and further tests
Chemistry
Physical Chemistry
Equilibria
Calculating equilibrium constant
Manipulating and presenting data
- How to use an ICE table to calculate concentrations and moles
- How to calculate the equilibrium constant, Kc, using equilibrium concentrations
Concepts, principles and theories
- How equilibrium shifts due to changes in concentration or pressure
- How to write the equilibrium expression for a reaction
- How to interpret Kc in regards to product or reactant favourability
Equilibrium and Gibbs free energy
Interpreting and Analysing Data
- How to calculate the reaction quotient, Gibbs free energy change and rate constants given experimental data
Concepts, Principles and Theories
- How to write equilibrium and reaction quotient equations
- How to identify if a reaction is endothermic or exothermic based on the sign of the enthalpy change
- How to rearrange equations
States of matter and phase diagrams
Manipulating and presenting data
- How to calculate experimental values for binary systems
Interpreting and analysing data
- How to interpret graphs and ternary phase diagrams to calculate percentage of components
Concepts, principles and theories
- How to identify correct binary phase diagrams
- How to define degrees of freedom for ternary systems
Kinetics
Introduction to kinetics
Manipulating and Presenting Data
- How to construct graphs of kinetics data
- How to use the slopes and intercepts of kinetics graphs to calculate initial concentrations and rate constants
Interpreting and Analysing Data
- How to calculate the concentration of reactants, time taken for a change in concentration to occur, and the reaction rate constant using integrated rate equations
Concepts, Principles and Theories
- How to identify the order of a reaction based on the rate equation
- Relating the effect of changing concentration on the rate of reaction based on the rate equation
Kinetics: order of reaction
Concepts, Principles and Theories
- How to identify which experiments would be suitable for determining the reaction order with respect to each reactant order
Manipulating and Presenting Data
- How to derive the reaction order equation from the rate of reaction equation
- How to calculate the reaction order
Interpreting and Analysing Data
- How to calculate the rate constant of a reaction
Iodine clock reaction (persulfate variation)
Interpreting and Analysing Data Concepts, Principles and Theories
How to calculate rate reactions from concentrations and time
How to calculate reaction order and rate constant
How to calculate activation energy from an Arrhenius plot
Arrhenius equation: activation energy
How to use the iodine clock reaction
How to derive the linearised form of the Arrhenius equation
Thermodynamics
Inorganic pyrotechnics
Manipulating and presenting data
- How to calculate moles, mass, volume, theoretical yield, changes in enthalpy, entropy, and Gibbs free energy
Interpreting and analysing data
- How to interpret the results of change in Gibbs free energy
Concepts, principles and theories
- How to determine the oxidation states of elements in different molecules
- How to balance equations and analyse the causes of observable features of redox reactions
Thermodynamics: heat capacity and calorimetry
Obtaining and Recording Data
- How to record temperature changes during a calorimetry experiment
Manipulating and Presenting Data
- How to use cooling curves to extrapolate temperature data to account for heat losses during calorimetry experiments
Interpreting and Analysing Data
- How to calculate heat exchange, heat capacity, and enthalpy change from experimental data
Concepts, Principles and Theories
- How to identify endothermic and exothermic reactions
- Defining an isolated system
- Distinguishing between heat capacity and specific heat capacity
Ideal gas law
Interpreting and Analysing Data
How to convert between different units of volume and pressure
How to calculate different variables according to the ideal gas law and Boyle's, Charles's and Avogadro's laws
Concepts, Principles and Theories
Identifying the relationships between pressure, volume, moles and temperature according to the ideal gas law
Titration
Determine an unknown concentration of acid by titration
Interpreting and analysing data
- Interpreting equivalence points in titration curves
- Calculating concentration of a species from titration data
Designing and planning an experiments
- How to standardise NaOH with KHP
Concepts, principles and theories
- Why solutions of NaOH need to be standardised
Making a buffer
Concepts, principles and theories
- How to apply and rearrange the pH and pKa equations
Manipulating and presenting data
- How to calculate the proton concentration from the pH
- How to calculate the relative concentration of A- and HA from the Ka and proton concentration
- How to determine the relative moles of A- and HA from the relative concentration
- How to calculate the relative volumes of A- and HA to take from stock solutions
- How to determine the actual volumes of A- and HA to take from stock solutions
Designing and planning experiments
- How to calculate the required volumes of weak acid and conjugate base needed to make a buffer solution of desired pH
Acid base titration
Concepts, principles and theories
- How to use titration data
Interpreting and analysing data
- How to calculate the concentration of an analyte using titration data
Henderson-Hasselbach equation
Manipulating and presenting data
- How to calculate the pH of a solution using the Henderson-Hasselbalch equation
- How to rearrange the Henderson-Hasselbalch equation to isolate and calculate the pKa
- How to rearrange the Henderson-Hasselbalch equation to isolate and calculate the conjugate base:acid ratio
Concepts, principles and theories
- How to use the Henderson-Hasselbach equation in different situations
Chemical tests
Concepts, principles and theories
- Why precipitates form and what their colours indicate
- What the causes of effervescence are
- What the chemical equations and reactions are that can be leveraged for chemical test
- How to balance chemical equations
Interpreting and analysing data
- How to identify halide ions based on precipitate colour
- How to identify the presence of a metal based on flame colour
- How to use a litmus paper and determine results
- How to use carbonyl tests and identify results
Analytical Chemistry
Mass spectrometry fundamentals
Concepts, principles and theories
- How a mass spectrometer works to achieve fragmentation of a molecule
- How to identify lost radicals and their effect on mass spectrometry data
Using instruments and equipment
- What the required steps are to run a mass spectrometer
Interpreting and analysing data
- How to identify the structure of a fragment ion based on its m/z value
- How to determine m/z value of the base peak from a spectrum
- How to determine m/z value for molecular ion peak
Identification of an unknown compound
Interpreting and analysing data
- Identify peaks on a mass spectrum of an unknown compound
- Identify functional groups from an IR spectrum
- Interpret and assign hybridisation and splitting patterns of an H-NMR spectrum to an unknown compound
- Interpret and assign hybridisation of a C-NMR spectrum to an unknown compound
Concepts, principles and theories
- Calculate empirical formula from percent mass
- Use a combination of analytical techniques to identify an unknown compound
Chromatography
Thin layer chromatography (TLC) analysis
Obtaining and Recording Data
- How to measure and record the distances of different components on a TLC plate
Manipulating and Presenting Data
- How to calculate retention factor values of various TLC plates
Interpreting and Analysing Data
- Determining the composition and the purity of unknown compound through analysis of various retention factors
Gas chromatography analysis
Using Instruments and Equipment
- Relating the vapour pressure of analytes to their retention times during GC analysis
- Predicting the order of elution of different compounds
- Predicting how changes to GC system parameters will impact retention and separation
Interpreting and Analysing Data
- Proposing modifications to GC methods
Concepts, Principles and Theories
- How to define key terms such as retention time and resolution
- How to solve problems relating to sample preparation methods in GC
HPLC analysis
Designing and Planning Experiments
- How normal and reverse phase HPLC differ
- How HPLC compares to standard column chromatography
Using Instruments and Equipment
- What key components make up the HPLC instrument
Obtaining and Recording Data
- How column efficiency and selectivity relate to resolution
- How column length and particle size affect column efficiency
- How the polarity of the mobile and stationary phases affect column selectivity
Interpreting and Analysing Data
- What is meant by resolution
- How bands in the column relate to chromatogram peaks
Spectroscopy
Beer-Lambert equation
Manipulating and presenting data
- How to calculate the absorbance using the Beer-Lambert equation
- How to convert between metric prefixes
- How to rearrange the Beer-Lambert equation to isolate and calculate the concentration
- How to rearrange the Beer-Lambert equation to isolate and calculate the absorption coefficient
- How to calculate the absorbance using the light absorption ratio version of the Beer-Lambert equation
- How to rearrange the Beer-Lambert equation to isolate and calculate the percentage light exiting a solution
Concepts, principles and theories
- When to apply the fundamentals of Beer's Law to various solution scenarios
UV-Vis calibration curves
Using Instruments and Equipment
- Describing how a spectrophotometer works
- Identifying the correct order of steps when running a sample for UV-Vis
- How to take an accurate reading using a UV-Vis spectrophotometer
Manipulating and Presenting Data
- How to select the data required to construct a calibration curve
- How to use a calibration curve to calculate absorption coefficients and concentrations of unknown samples
Interpreting and Analysing Data
- How to use the Beer-Lambert law to calculate absorbances, absorption coefficents and concentrations based on experimental data
Concepts, Principles and Theories
- Identifying the components of the Beer-Lambert equation
- Explaining the limitations of the Beer-Lambert law
Infrared spectroscopy analysis
Interpreting and analysing data
- Identify key peaks in an IR spectrum
- Correspond peaks with functional groups
- Use spectra to identify corresponding compounds and molecules
NMR spectroscopy fundamentals
Interpreting and analysing data
- Identify the number of proton chemical environments and predict the number of signals in the 1H NMR spectrum
- Relate number of protons to relative intensity of peaks
- Identify splitting patterns from neighbours
Concepts, principles and theories
- How chemical environments will result in peaks of different chemical shifts
NMR: Interpreting spectra
Interpreting and Analysing Data
- How to predict the splitting pattern and chemical shift of different chemical environments
- How to relate the integration in an NMR spectrum to the number of protons in the chemical environment
Concepts, Principles and Theories
- How to name different splitting patterns based on their appearance
- How to assign different signals in an NMR spectrum based on a chemical structure
13C-NMR fundamentals
Interpreting and Analysing Data
- How to interpret 13C NMR and DEPT-135 spectra
- How to assign chemical shifts to carbon environments in a compound
Concepts, Principles and Theories
- How to differentiate between the terms upfield and downfield
- Predicting where carbon atoms might resonate in a 13C NMR spectrum
Inorganic Chemistry
Redox and Electrochemistry
Stoichiometry: balancing chemical reactions
Concepts, Principles and Theories
- How to count the number of atoms of a particular element based on the molecular formula
- How to balance chemical equations using stoichiometric coefficients
Redox and electrochemistry
Concepts, principles and theories
- How to determine oxidation numbers of elements
- How to identify the components of a Galvanic cell
- How to apply basic redox principles to identify oxidation and reduction reactions
- How to balance half and full redox reaction equations
Interpreting and analysing data
- How to calculate the cell potential of a redox reaction
The oxidation states of vanadium
Concepts, principles and theories
- How to apply basic principles of oxidation-reduction reactions
- How to balance oxidation-reduction half reactions
- How to balance oxidation-reduction full reactions
Coordination compounds
Manipulating and presenting data
- How to calculate the theoretical yield of a synthesised coordination compound
Concepts, principles and theories
- How to identify ligand types, geometry and the structures of different coordination compounds
- How to identify the reaction conditions required for organometallic coordination compounds
Organic Chemistry
Introduction to naming organic molecules
Concepts, principles and theories
- How to identify and name the parent chain
- How to identify the functional group and its position on the parent chain
- How to name organic molecules with functional groups
Naming multi-chain molecules
Concepts, principles and theories
- How to name an alkane with side chains
- How to name an alkane with side chains and functional groups
Synthesis of paracetamol
Working in a safe manner
- How to identify experimental hazards and proper disposal methods
Manipulating and presenting data
- How to calculate the yield and Rf values
Concepts, principles and theories
- How to interpret TLC and melting point data to determine the purity of the synthesised product
- How to interpret spectra relating to the synthesis
Introduction to food tests
Concepts, principles and theories
- What the different food groups are
- How and when to use different food tests
- How food tests interact with macromolecules to give results
Interpreting and analysing data
- How to determine if various food tests are positive or negative: iodine solutions, Benedict's reagent, emulsion and biuret reagent
- How to identify the macromolecule composition from food test results
Biosciences
Agarose Gel
Analytical foundations
Using instruments and equipment
- Answer questions about gel electrophoresis setup and procedure
Obtaining and recording data
- Compare and measuring migration distances of bands on a gel
Manipulating and presenting data
- Generate standard curves for migration distance
Interpreting and analysing data
- Draw conclusions from looking at gels
Concepts, principles and theories
- Answer questions related to agarose gel electrophoresis
Selecting appropriate time, voltage and concentration
Interpreting and analysing data
- How to identify the ideal time, voltage and agarose concentration conditions to run effective gels
- How to determine the usability of gel results for various purposes considering imperfect results
Concepts, principles and theories
- How to use gels to to verify the presence of DNA
- How to use gels to quantify DNA fragment length
Using instruments and equipment
- How to adjust time, concentration and voltage to obtain optimal results
- How to determine if your gel has run for the required time
Troubleshooting potential errors
Interpreting and analysing data
- How to verify the presence of all DNA fragments
- How to quantify the length of all DNA fragments
Concepts, principles and theories
- How to determine the loading errors causing the results
- How to determine the gel preparation error causing the result
- How to determine the post-run error causing the result
Pathogen identification experiment
Concepts, principles and theories
- What the purpose of experimental controls is
- How many experimental controls need to be run for a scenario
- How to identify the appropriate DNA ladder for an experiment
- How to identify the presence of a pathogen using gel electrophoresis
Interpreting and analysing data
- How to determine if gels are giving the expected results from controls
- How to match control bands with sample bands
- How to determine the validity of results and what conclusions can be drawn
Triplet repeat disease risk
Manipulating and presenting data
- How to calculate the length of the repeat region and PCR amplicon for reference samples
- How to calculate appropriate values and assemble a standard curve
- What are appropriate axes titles and graph title for the standard curve
- How to identify appropriate trendline for the standard curve
- How to calculate the number of repeats in the TRD region for the patient sample and low-risk control
Using instruments and equipment
- How to decide the contents and controls to run in each gel lane
Obtaining and recording data
- How to record migration distances of ladder bands
- How to record migration distances for control samples and patient sample
Concepts, principles and theories
- How to select the appropriate DNA ladder for experimental scenarios
Interpreting and analysing data
- What actions to take if the gel results are not as expected
- How to identify the slope and y-intercept from the standard curve graph
- How to determine the patient's disease risk based on calculated repeats
EcologyMark-release-recapture
Interpreting and Analysing Data
Estimate the population size of a range of mark-recapture scenarios
Concepts, Principles and Theories
Apply principles around the application of mark-release-recapture
Obtaining and Recording Data
How to use both visual and textual information to measure the number of marked and unmarked individuals
Simpson’s biodiversity index
Interpreting and analysing data
Interpret and use case study data to calculate Simpson's Diversity Index
Concepts, principles and theories
When to apply Simpson's Diversity Index to various situations
Compare the diversity of different habitats
Genetics
The Hardy-Weinberg principle
Concepts, principles and theories
- How and when to apply the Hardy-Weinberg principle
- How to identify variables and apply Hardy-Weinberg equations
- How and when to infer genotypes from phenotypes
- How to determine if evolutionary pressures are being applied to a biological system
Interpreting and analysing data
- How to calculate allele frequency using Hardy-Weinberg equations
- How to calculate genotype frequency using Hardy-Weinberg equations
Manipulating and presenting data
- How to summarise a large set of data
PCR primer design
Designing and planning experiments
- Use the key principles of PCR to design primers
- Write DNA sequences of primers
- Design primer extensions
Concepts, principles and theories
- How primers are affected by length, melting temperature and GC content
- How restriction enzymes create overhang regions
Gene regulation: the lac operon
Manipulating and Presenting Data
- How to plot graphs showing cell mass and sugar concentration
Interpreting and Analysing Data
- Defining cell molecular states and activities based on growth conditions
- Justifying a molecular phenotype based on graphical data
Concepts, Principles and Theories
Identifying the different parts of the lac operon
Describing the impact of different sugars on the regulation of the lac operon and the relative levels of transcription and repression
qPCR in molecular diagnostics
Manipulating and Presenting Data
- Defining the logarithmic plot parameters and defining the fluorescence threshold
- Defining the axes and trendline of the standard curve
- How to calculate the template concentration using the standard curve
- How to quantify the ΔΔCT and FC for all the samples required
Interpreting and Analysing Data
- Identifying the different phases of an amplification plot and determining the cycle start and end values
- Identifying the differences between the probe, reference and quencher signals
- Identifying a baseline and cycle threshold from an amplification plot
- Identifying the CT value from the amplification plot
- Concluding the meaning of a negative ΔCT
- Assessing the nature of the fold difference observed and determining whether or not the food was safe for consumption
Concepts, Principles and Theories
- Identifying the reasons why the reference signal is subtracted from the probe signal
Introduction to BLAST®
Obtaining and Recording Data
- How to gather metadata associated with BLAST® entries
- How to align two sequences using BLAST®
Interpreting and Analysing Data
- How to interpret the alignment data to determine the type of mutation.
Obtaining and Recording Data
- How to gather query cover and identity data for different organisms for evolutionary comparisons
- How to gather identity data for the forensic scenario. How to use the genome viewer to gather metadata associated with specific genes for both Prokaryotes and Eukaryotes.
Interpreting and Analysing Data
- How to interpret % identity in an evolutionary comparison.
- How to determine if any of the crime scene exhibits came from a human source
MicrobiologyMicroscopy: estimating size
Concepts, principles and theories
- What the purpose of various parts of a microscope are
Obtaining and recording data
- How to count divisions on a stage micrometer and eyepiece graticule
Using instruments and equipment
- How magnification can affect calibration
Interpreting and analysing data
- How to calibrate an eyepiece graticule
- How to calculate the length of an object in a microscope
Histological staining
Concepts, principles and theories
- What the steps in histological staining are and their purpose
- How to differentiate between different staining methods
- How each of the different reagents is used to contribute to the staining of different cellular parts
Using instruments and equipment
- How to use each of the reagents and solutions in an H&E stain
Interpreting and analysing data
- How to identify good and poor results for an H&E stain
- How to identify specific problems with a stain and adjust to fix errors
Counting microbial populations
Obtaining and Recording Data
- How to identify and count colonies on a microbial plate for use in colony forming units per millilitre calculations
Manipulating and Presenting Data
- How to calculate volumes for specific dilutions
- How to calculate colony forming units per millilitre for different dilutions
- How to calculate the average colony forming units per millilitre
Interpreting and Analysing Data
- Defining whether the colony forming units per millilitre are above or below a pre-defined clinical threshold to make a diagnosis
Introduction to bacterial growth curves
Manipulating and Presenting Data
How to define the type and axes of a standard curve and use this to calculate the CFU/mL from an optical density value
How to calculate the number of divisions of a bacterial progenitor cell and the total number of cells after a defined period of growth
How to calculate the generation time of a bacteria based on a defined exponential phase
Defining the title of a growth curve graph
Interpreting and Analysing Data
- How to interpret death phases based on initial inoculum concentration
- Distinguishing between each of the different growth phases from the interactive bacterial growth curve and using this to calculate the generation time
- Defining how different growth conditions impact phase behaviour and generation time
Concepts, Principles and Theories
- How to identify the correct definition of each bacterial growth phase
Hemocytometry analysis
Obtaining and Recording Data
How to accurately count using a haemocytometer in various ways
Using Instruments and Equipment
How to use the differences between the measurements of the counting grid
How to select the appropriate areas of the grid to count various types of cells using a haemocytometer
Manipulating and Presenting Data
How to calculate and convert cell counts into cell concentrations
Bacterial identification
Designing and Planning Experiments
How to determine which samples to use for specific scientific investigations
Interpreting and Analysing Data
How to identify contamination on agar plates
How to interpret a biochemical profile test
Concepts, Principles and Theories
How to apply biochemistry principles to biochemical profile tests
Molecular Biology
Enzyme kinetics: plotting fundamentals
Manipulating and presenting data
- Manipulate data to construct Michaelis-Menten and Lineweaver-Burk plots
- Identify and interpret Michaelis-Menten and Lineweaver-Burk plots
Concepts, principles and theories
- Apply the Michaelis-Menten equation to a variety of scenarios to calculate Km and Vmax
- Identify the strengths and weaknesses of Michaelis-Menten in conjunction with other analytical methods
Protein purification and yield
Concepts, principles and theories
- How to apply total activity and specific activity in context
- How to differentiate percent recovery and purification factor
- How to determine level of success of purification for outlined objective
Interpreting and analysing data
- How to apply total activity and specific activity in context
- How to differentiate percent recovery and purification factor
- How to determine level of success of purification for outlined objective
Western blot analysis
Designing and Planning Experiments
- Determining the reasons for not using a freezer stock to make immediate working solutions
Manipulating and Presenting Data
- How to calculate working dilutions and subsequent concentrations needed for a Bradford assay
- How to build a standard curve by defining the axis titles and ranges
- How to use the equation of a standard curve to interpret novel absorbances from protein samples
- How to calculate specific volumes needed to reach a normalised protein concentration for a western blot experiment
Interpreting and Analysing Data
- Interpreting a Bradford assay and determining whether the protein extraction was useable in a western blot experiment
- Identifying different western blot errors from stylised and real western blot images
- Interpreting western blot results from novel case studies
Concepts, Principles and Theories
- Defining the purpose of western blot as an analytical technique and what it measures
- Distinguishing the different methods of western blot and the procedures and components associated therewith
Analysing ELISA
Manipulating and Presenting Data
- How to calculate the volume needed to resuspend a lyophilised protein
- How to calculate how much stock solution would be required for a specific dilution
- How to calculate a dilution factor
- How to calculate a serial dilution
- How to calculate mean corrected absorbance
- How to calculate the coefficient of variation
- How to rearrange the equation of the standard curve to solve for protein concentration
- How to plot a standard curve and determining an evidence-based outcome using the previous learned skills
Interpreting and Analysing Data
- Determining if protein measurements are reliable based on the calculated coefficient of variation
- Reaching an evidence-based conclusion using gathered data calculated from a novel scenario
Concepts, Principles and Theories
- Identifying the fundamental principles of ELISA and the reasons behind certain practices for the method and analysis
PharmacologyPharmacokinetics: single dose
Concepts, principles and theories
- What is meant by absorption and bioavailability
- What is the volume of distribution
- What factors contribute to the elimination of a drug from the body
- What is the difference between zero order and first order elimination kinetics
- What is meant by the elimination half-life, elimination constant and total clearance
- What is meant by the steady state and therapeutic window
Manipulating and presenting data
- How to calculate the bioavailability when the IV and non-IV dose are the same and when the doses are different
- How to calculate the volume of distribution and total clearance
- How to calculate steady state for a single dose and multiple doses
- How to calculate the dose interval for a dosage regimen
- How to calculate the loading dose and maintenance dose
- How to graphically estimate the initial plasma concentration and rate
Interpreting and analysing data
- How to estimate the volume of distribution from a graph
- How to calculate steady-state concentration
- How to analyse graphs to estimate the drug's half-life
- How to analyse a graph's trendline to calculate pharmacokinetic parameters
Pharmacokinetics: multiple doses
Manipulating and presenting data
- How to calculate suitable drug dose intervals
- How to calculate loading dose and maintenance dose amounts for given drug parameters
- How to calculate time to achieve steady state
Competitive antagonism
Manipulating and presenting data
- How to calculate and determine drug concentrations
- How to calculate and record the normalised response %
- How to calculate the dose ratios for each antagonist
Interpreting and analysing data
- How to correctly plot a dose-response curve
- How to identify the type of physiological response being measured
- How to determine maximum response from plots
- How to analyse the effect of the antagonist
- How to identify errors in dose-response curves and remedies for error
- How to determine gradient for Schild plot
Concepts, principles and theories
- How to abbreviate maximum response and concentration at which half-maximal response is achieved
Designing and planning experiments
- How to select independent and dependent variables for experimental set up
Obtaining and recording data
- How to record histamine concentrations and volumes for experiment
Ileum organ bath
Interpreting and analysing data
- How to analyse pharmacology data acquired using an organ bath
- How to interpret meaning of dose response curves
Manipulating and presenting data
- How to plot dose response curves
Physiology
ECG fundamentals
Obtaining and Recording Data
- How to recording data from ECG traces paper to convert to numerical values
Manipulating and Presenting Data
- How to calculate time between heart beats
- How to calculate the instantaneous heart rate
- How to calculate ECG complex intervals from trace paper
Interpreting and Analysing Data
- How to compare relative heart rates between subjects
Concepts, Principles and Theories
- How to identify key parts of an ECG trace, including waves and complexes
- How to apply methods of calculating heart rate
ECG in action
Using Instruments and Equipment
How to interrogate correct electrode placement in an ECG
Interpreting and Analysing Data
- How to identify issues with ECG traces
- How to estimate electrical axis of the heart based on QRS complex magnitudes
Concepts, Principles and Theories
How to apply Einthoven's Triangle to evaluate electrode placement to form appropriate leads
Membrane potential
Interpreting and Analysing Data
How to interpret membrane data and diagrams to identify concentrations and permeability
How to determining the electrochemical and concentration gradients
Concepts, Principles and Theories
- What a membrane potential is
- How membrane potential is effected by changes in confirmation to membrane transport proteins
- How the potential of a membrane changes throughout a action potential
Manipulating and Presenting Data
- How to calculate the membrane potential using the Nerst and GHK equations.
Spirometry fundamentals: lung volume and functions
Interpreting and Analysing Data
- How to interpret spirometer traces
- How to calculate lung volumes, capacities and other key metrics
- How to compare volumes and capacities to reference ranges
Concepts, Principles and Theories
- How to identify the main functions, and factors when carrying out a spirometer test.
- What volumes and capacities are measured during a spirometer test
Clinical Biomedical Science
Clinical Biochemistry
Liver function
Manipulating and Presenting Data
- How to use an equation of a line to calculate the concentration of serum alkaline phosphatase and total bilirubin concentration in patient serum
Concepts, Principles and Theories
- How general processes of the liver are carried out and how pathophysiology intersects with normal function
- How liver function tests work and their constraints
Interpreting and analysing data
- How to analyse a panel of liver function tests to diagnose a specific liver abnormality
- Determine the differences in why specific enzymes are raised in specific conditions
- Compare calculated parameters to clinical reference ranges and make a clinical diagnosis
Kidney function
Manipulating and Presenting Data
- How to calculate uncorrected and corrected glomerular filtration rate (GFR) specifically including creatinine clearance
- How to calculate urinary volume per minute
Concepts, Principles and Theories
- How general processes of the kidneys are carried out
- How kidney function tests measure kidney parameters and their purpose and appropriateness for certain renal pathologies
Interpreting and analysing data
- How to identify the correct stage of renal disease and how it impacts function
- How to interpret proteinuria
- How to interpret a panel of different blood results in relation to clinical kidney disease
Manipulating and Presenting Data
- How to calculate fasting and non-fasting glucose concentration for different patients for an oral glucose tolerance test
Concepts, Principles and Theories
- How glucose is regulated and the effects of different hormones, tests and pathologies
Interpreting and analysing data
- Clinically diagnosing different patients based on oral glucose tolerance test data
- Interpreting urinary tests and a panel of blood results in a clinical context
Endocrine disorders
Interpreting and analysing data
- Evaluating clinical case studies and formulating a diagnosis, proposing further testing and suggesting treatment choices and outcomes
Concepts, Principles and Theories
- How the endocrine system functions
- Recalling key components of the endocrine system
Clinical Immunology
Autoimmune disease and diagnosis
Concepts, Principles and Theories
- By using knowledge of key diagnostic tests in conjunction with autoimmune disease symptoms, complex immunological and haematological patient profile data to inform diagnosis
Interpreting and Analysing Data
- Interpreting reference range data to inform the patient profiles
Manipulating and presenting data
- By generating a standard curve and calculating serum immunoglobulin concentration
- Using appropriate controls and applying the principles of reference ranges
Internal quality control and systemic lupus erythmatosus diagnosis
Concepts, Principles and Theories
- By using your knowledge of key diagnostic tests and indicators of systemic lupus erythematosus
Interpreting and Analysing Data
- By interpreting images of anti-nuclear antibody testing, and indirect immunofluorescence performed on Crithidia luciliae
Manipulating and presenting data
- By determining ICQ internal ranges, constructing Levey Jennings plots and applying Westgard rules to establish the validity of diagnostic results
Clinical Microbiology
Diagnosing respiratory pathogens
Designing and Planning Experiments
- Choosing the correct media for sputum samples
- Determining how to carry out further identification using the blood bottle sample
- Defining the preliminary steps before carrying out PCR
- Defining which further investigations would be necessary in order to differentiate between a commensal and pathogenic bacteria
Manipulating and Presenting Data
- How to calculate the relative proportions of bacterial isolates resistant to specific antibiotics
Interpreting and Analysing Data
- How to identify different bacteria on agar plates
- How to identify bacteria in blood culture using classical and molecular techniques
- How to interpret antibiotic sensitivity assay results and determine the most suitable antibiotic for treatment
Concepts, Principles and Theories
- Identifying a microbial organism growing on an agar plate
- How to select the correct differential or selective growth media to use for pathogen isolation
- Identifying the expected microscopic morphology and any further biochemical tests that could be used to help differentiate between S. pneumoniae and K. pneumoniae
- Identifying the different biochemical tests used in a microbiological lab
- Defining the principles behind blood bottle cultures
- Exploring the virulence factors and intrinsic resistances of K. pneumoniae
- Recognising the distinction between hospital-acquired and community-acquired infections and how antibiotic resistance impacts stewardship policies
Diagnosing urogenital pathogens
Designing and Planning Experiments
- Determining the appropriate media to use for both E. coli and N. gonorrhoeae
- Determining an appropriate media for an alternative fungal pathogen
Interpreting and Analysing Data
- Diagnosing E. coli as the cause of the UTI based on the interpretation of the agar plates
- Assessing the various biochemical tests and Gram stains for both E. coli and N. gonorrhoeae
- Determining the susceptibility of E. coli to antibiotics C and D and interpretation of the growth data to define their respective mechanisms of action
- Interpreting the problems with the PCR gel
- Building a biochemical profile of N. gonorrhoeae and by
- Diagnosing N. gonorrhoeae as the most likely causative organism
Concepts, Principles and Theories
- Defining the benefits of chromogenic agar
- Defining antibiotic susceptibility testing methods and the various mechanisms of antibiotic resistance.
- Distinguishing between bacteriostatic and bactericidal antibiotics and specific recall of a cephalosporin-class antibiotic
- Determining the recommended treatment for N. gonorrhoeae infection and why penA mutations induce resistance to cephalosporins
Diagnosing foodborne pathogens
Designing and Planning Experiments
- Determining the appropriate microbiological media and diagnostic tests for isolating specific organisms
Interpreting and Analysing Data
How to identify various foodborne pathogens and organism characteristics
Interpreting antibiotic susceptibility tests
Identifying organisms from Gram stains
Concepts, Principles and Theories
How to identify the categories of different pathogens
Recalling knowledge of aseptic practice and the terminology surrounding
Identifying different macroscopic morphologies of various bacterial colonies
Defining the suitability of specific agar
Defining the consequences of bacterial toxins on patient pathology
Applying the principles of taxonomic hierarchy and molecular identification techniques for microbial diagnostics
Identifying the correct method of antimicrobial susceptibility test showcased
Parasitology
Designing and Planning Experiments
- Defining the necessary steps required before carrying out specific statistical tests
Manipulating and Presenting Data
- How to calculate the proportion of a specific group with Ancylostoma duodenale egg infection and identifying the significance value
Interpreting and Analysing Data
- How to identify a parasitic species from different stages of parasitic growth development
- Determining whether or not blood markers were outside of the typical reference ranges
- Determining the difference between infection incidence and prevalence
- Determining the reasons behind why quantitative data on egg counts behaved in specific patterns and their statistical significance
- How to analyse sensitivity and specificity data for parasitic detection methods
Concepts, Principles and Theories
- Defining parasite type
- Defining infection characteristics
- Defining staining and identification methods for both Ancylostoma and Entamoeba
Virology, public health and epidemiology
Manipulating and Presenting Data
- How to calculate the odds ratio, risk ratio, basic reproduction number and minimum vaccination coverage
Interpreting and Analysing Data
- How to identify the cause and source of outbreak pathogens
- How to interpret hepatitis serological profiles and suggest future testing procedures for different individuals.
- How to analyse herd immunity data and predict future trends
Concepts, Principles and Theories
- How to define core epidemiological concepts
- How to determine parameters involved with virological screening and serology testing
- Define epidemiological trends for Hepatitis and Poliovirus
Mycology
Designing and Planning Experiments
- Defining the period of time required to incubate an agar plate when growing a filamentous fungi
Manipulating and Presenting Data
- How to calculate the sensitivity and specificity for certain fungal germ tube staining experiments
Interpreting and Analysing Data
- How to identify and diagnose fungal organisms from qualitative and quantitative data
- How to highlight different morphological features and use this, alongside diagnosis data, to formulate other related conclusions
Concepts, Principles and Theories
- How to determine appropriate diagnostic methods including staining and appropriate microbiological media
- Define appropriate treatment
- Define taxonomy, and reasons why fungal organisms should be identified
Haematology and Transfusion Science
Haematopoiesis
Interpreting and Analysing Data
- This has been covered by accurately identifying normal and abnormal morphologies of blood cells from blood films, bone marrow trephine and aspirates enabling you to correlate morphological features with expected reference ranges
Concepts, Principles and Theories
- This has been covered by recalling and consolidating knowledge of haematopoiesis, enabling you to understand the principles of reference ranges and the impact of dysregulation on neoplasm
Haemostasis and quality control
Concepts, Principles and Theories
- By applying your knowledge of primary and secondary haemostasis
Interpreting and Analysing Data
- By considering the IQC data presented and deriving meaningful conclusions relative to quality and validity
Manipulating and presenting data
- By carrying out various calculations using a PTT and PT data sets to generate levy-jennings plots and compare against QC parameters
Primary and secondary haemostasis
Concepts, Principles and Theories
- Recall knowledge of primary and secondary haemostasis and apply this to the evaluation of PFA data and clot curve analysis
- Utilise critical thinking and evaluation of complex case study data
Interpreting and Analysing Data
- How to use internal quality control data to determine quality and validity of data
Haematological malignancies
Concepts, Principles and Theories
This has been covered by demonstrating that you can recall morphological features of cells at various stages of development and consider the clinical significance of this in a complex scenario
Interpreting and Analysing Data
This has been covered by utilisine images of cells at different stages of development, applying this to expected reference ranges and morphology and correlating with abnormal morphologies and underlying conditions. You can also be able to perform calculations for white blood cell count correction
Transfusion science
Concepts, Principles and Theories
- This has been covered by applying your knowledge of primary and secondary haemostasis and applying this to the analysis of clot curve data. You have also utilised critical thinking and evaluation of more complex case study data
Interpreting and Analysing Data
- This has been covered by considering Internal Quality Control data presented and deriving meaningful conclusions relative to quality and validity
Manipulating and presenting data
- This has been covered by carrying out various calculations using a PTT and PT data sets to generate levy-jennings plots and compare against QC parameters
ForensicsScene management: prior to the examination
Working in a safe manner
- What Personal Protective Equipment (PPE) to use
- How to keep yourself and others safe at a scene
- How to manage a crime scene
Obtaining and recording data
- How information gathering informs the dynamic health and safety risk assessment
- How information gathering informs crime scene management
- How information gathering informs forensic assessment processes
Concept, principles and theories
- Forensic Science Regulator Codes of Conduct and Practice
- ISO 17020 accreditation criteria
- Dynamic health and safety risk assessment
- Locard's Principle
- Crime Scene Management
- College of Policing Murder Investigation Manual
Incident scene: assessments and examination
Obtaining and recording data
- Why information gathering and communication skills are important in maximising forensic evidence opportunities
- How to identify priority forensic evidence and other evidence types relevant to the investigation
- How to record observations, actions and priority evidence
- How to develop a forensic strategy for evidence recovery and a hypothesis
- How to maximise forensic evidence opportunities
Interpreting and analysing data
- How to interpret fingerprint, DNA, footwear, drugs, fibres, glass and other forensic evidence
- What factors to take into account when considering the value and significance of evidence
- How to interpret forensic evidence and its priority and significance for the investigation
- How to develop a forensic strategy for evidence recovery and a hypothesis as to the circumstances of the incident
Concepts, principles and theories
- Forensic Science Regulator Codes of Conduct and Practice
- ISO 17020 accreditation criteria
- Dynamic health and safety risk assessment
- Locard's Principle
- Crime scene management
- College of Policing Murder Investigation Manual
Blood pattern analysis: point of impact
Obtaining and Recording Data
- How to measure the width and length of individual bloodstains
Manipulating and Presenting Data
- How to calculate the angle of impact of individual blood stains
Interpreting and Analysing Data
- How to identify and select appropriate bloodstains to measure in a blood spatter pattern
- How to identify the direction of travel for a bloodstain
- Using blood spatter evidence to justify a legal hypothesis
Concepts, Principles and Theories
- Defining the specific terminology on blood dynamics and where to measure on an individual bloodstain