Smart Worksheet Library - Skills & Competencies

Smart Worksheet Library - Skills & Competencies


Scientific Literacy



Introduction to units

Concepts, principles and theories
  1. Why units are important
  2. What SI base units are
Manipulating and presenting data
  1. What the common metric prefixes are and how they relate to the base unit
  2. What the difference is in powers of 10 between different metric prefixes
  3. How to convert from small units to big units
  4. How to convert from big units to small units
  5. How to apply metric prefix conversions to calculations

Scientific numeracy

Concepts, principles and theories
  1. Define what is meant by accuracy and precision
  2. Define scientific notation and how we represent numbers in this format
  3. Define when it is appropriate to think in terms of decimal places and significant figures in a value
Manipulating and presenting data
  1. How to round a value to the requested decimal places or significant figures
  2. How to calculate percentage and percentage change
  3. How to write values as powers of 10
  4. How to convert between metric prefixes and apply to calculations
  5. How to determine the most suitable graph type for a given set of data
  6. Define what should be plotted on each axes of a graph and how to select suitable ranges
Interpreting and analysing data
  1. How to identify the slope and intercept value from the trendline equation
  2. How to rearrange the trendline equation to calculate the concentration of an unknown
  3. How to determine the central tendencies and distribution for a set of data
  4. How to identify outliers in a set of data
  5. How to rearrange and solve the C1V1 = C2V2, pH and proton concentration and ideal gas law equations

Micropipetting

Using instruments and equipment
  1. How to apply micropipetting skills and knowledge when identifying minimum, maximum and measured volumes using different types of micropipettes
  2. How to differentiate what each number in the display dial represents
  3. How to recognise appropriate actions in the case of the micropipette malfunctioning
Manipulating and presenting data
  1. How to convert volumes in millilitres to microlitres and vice versa

Moles and molarity

Concepts, principles and theories
  1. Define a mole
  2. Define molarity
Manipulating and presenting data
  1. How to use the periodic table to identify the molar mass of a substance
  2. How to calculate the number of moles from the mass and the molar mass
  3. How to rearrange the moles equation to isolate and calculate mass or molar mass
  4. Define molarity
  5. How to calculate the number of moles from the concentration and volume
  6. How to rearrange the moles equation to isolate and calculate concentration or volume

Single step dilutions

Concepts, principles and theories
  1. When to utilise dilutions
Manipulating and presenting data
  1. What the C1V1 = C2V2 equation can be used to calculate
  2. How to rearrange the C1V1 = C2V2 equation to isolate each component
  3. How to identify which concentration or volume component needs calculating and then perform the relevant calculation

Dilution factors

Manipulating and presenting data
  1. How to calculate dilution factors from concentration
  2. How to calculate dilution factors from volume
  3. How to calculate volumes and concentrations knowing dilution factor
Interpreting and analysing data
  1. How to identify givens and unknowns in scenario based practice
Concepts, principles and theories
  1. How to identify the appropriate algebraic rearrangement to solve for unknowns

Serial dilutions

Concepts, principles and theories
  1. Define what is meant by a serial dilution and 10-fold dilution
Manipulating and presenting data
  1. How to calculate the dilution factor when given the concentrations of solutions in the series
  2. How to rearrange the dilution factor equation to calculate the successive concentrations in a serial dilution
  3. How to rearrange the dilution factor equation to calculate the volume of solution and diluent required for each step in a dilution series

Calculating pH

Manipulating and presenting data
  1. How to calculate the pH from the proton concentration
  2. How to calculate the proton concentration from the pH
  3. Define the relationship between pH and proton concentration
  4. How to determine the proton concentration of a strong acid
  5. How to determine the hydroxide concentration of a strong base
  6. How to calculate the proton concentration using the Kw equation
  7. How to calculate the pH of a resulting solution from a neutralisation reaction
Concepts, principles and theories
  1. How to apply the pH equation to different situations

Acid base titration

Concepts, principles and theories
  1. How to use titration data
Interpreting and analysing data
  1. How to calculate the concentration of an analyte using titration data

Beer-Lambert equation

Manipulating and presenting data
  1. How to calculate the absorbance using the Beer-Lambert equation
  2. How to convert between metric prefixes
  3. How to rearrange the Beer-Lambert equation to isolate and calculate the concentration
  4. How to rearrange the Beer-Lambert equation to isolate and calculate the absorption coefficient
  5. How to calculate the absorbance using the light absorption ratio version of the Beer-Lambert equation
  6. How to rearrange the Beer-Lambert equation to isolate and calculate the percentage light exiting a solution
Concepts, principles and theories
  1. When to apply the fundamentals of Beer's Law to various solution scenarios

Henderson-Hasselbach equation

Manipulating and presenting data
  1. How to calculate the pH of a solution using the Henderson-Hasselbalch equation
  2. How to rearrange the Henderson-Hasselbalch equation to isolate and calculate the pKa
  3. How to rearrange the Henderson-Hasselbalch equation to isolate and calculate the conjugate base:acid ratio
Concepts, principles and theories
  1. How to use the Henderson-Hasselbach equation in different situations




Quantitative Skills (Biomedical and Chemistry)

Fundamental numeracy

Concepts, principles and theories
  1. Working familiarity with terms such as decimal places, significant figures, precision, powers of 10, normalised scientific notation, reference ranges and more
  2. Applying this familiarity to answer a range of questions in biomedical contexts
Manipulating and presenting data
  1. Importance of portraying scientific values in different ways e.g to various precisions and in different notations
  2. Converting values between different representational formats
Interpreting and analysing data
  1. Making use of numerical data and text information from a biomedical experimental scenario
  2. Using the skills learned throughout the sheet to interpret and analyse this data

Units and unit conversions

Manipulating and presenting data
  1. How to convert values to scientific notation and select appropriate units
  2. How to perform unit conversions within calculations involving concentration
  3. How to calculate the concentration of a solution
  4. How to calculate dimensions of microscopic objects
Concepts, principles and theories
  1. How to identify which of two solutions is more concentrated
  2. How to describe to what extent a change in volume affects the concentration of a solution
  3. How to describe the process of converting a concentration from mg/mL to g/L
  4. How to identify the type of white blood cell based on its size

Scientific formulae

Manipulating and presenting data
  1. How to calculate centrifuge force based on radius and RPM
  2. How to determine percentage of lymphocytes in a blood sample
  3. How to calculate monocyte cell count based on percentage and total cell count
  4. How to dilute solution volume from a stock solution
  5. How to calculate number of moles in a mass of EDTA and molarity of an EDTA solution
Concepts, principles and theories
  1. How to identify the variable that needs to be isolated in a dilution calculation
  2. How to apply the mathematical operation to rearrange equations to isolate a specific variable
  3. How to identify constants in formulae
Interpreting and analysing data
  1. How to identify the likely type of a white blood cell based on its measured diameter

Data visualisation and graphing

Concepts, principles and theories
  1. Why appropriate graph types must be used for varying data types
  2. How to identify presentation issues in a scatter plot
Manipulating and presenting data
  1. Choose appropriate data, axes and and plot elements to construct a graph
  2. Calculate protein concentration using a scatter plot's trendline formula

Averages, spread and precision

Manipulating and presenting data
  1. How to identify and calculate the outlying value in a patient dataset
  2. 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
  1. How to differentiate between mean and median in datasets with and without outliers
  2. How to identify whether a dataset demonstrates high or low accuracy and precision
Interpreting and analysing data
  1. How to calculate mean, median and mode for patient blood glucose datasets
  2. How to calculate the standard deviation for a patient dataset
  3. How to calculate data ranges in specific standard deviations from the mean of the dataset



Statistical Principles

Data types and measurement

Manipulating and presenting data
  1. How to record data and identify errors in data tables and lab books
Obtaining and recording data
  1. How to assess and construct data results
Concepts, principles and theories
  1. How to classify various types of data

Data display and distribution

Concepts, principles and theories
  1. How to identify the correct equation for constructing histograms
Manipulating and presenting data
  1. How to calculate data frequency for histogram construction
Interpreting and analysing data
  1. How to interpret histogram distributions and results

Interpreting averages and quartiles

Manipulating and presenting data
  1. How to calculate statistical values from various data sets
  2. How to construct box plots
Interpreting and analysing data
  1. How to interpret statistical values and plots

Variability and confidence intervals

Interpreting and analysing data
  1. How to analyse and compare statistical values
Manipulating and presenting data
  1. How to calculate standard deviation for various datasets
  2. How to calculate standard error for various datasets
  3. How to calculate confidence intervals for various datasets
Concepts, principles and theories
  1. How to describe and predict statistical values

Correlation

Concepts, principles and theories
  1. How to identify appropriate statistical values under different circumstances
Interpreting and analysing data
  1. How to interpret statistical values


Biosciences



Agarose gel

Analytical foundations

Using instruments and equipment
  1. Answer questions about gel electrophoresis setup and procedure
Obtaining and recording data
  1. Compare and measuring migration distances of bands on a gel
Manipulating and presenting data
  1. Generate standard curves for migration distance
Interpreting and analysing data
  1. Draw conclusions from looking at gels
Concepts, principles and theories
  1. Answer questions related to agarose gel electrophoresis

Selecting appropriate time, voltage and concentration

Interpreting and analysing data
  1. How to identify the ideal time, voltage and agarose concentration conditions to run effective gels
  2. How to determine the usability of gel results for various purposes considering imperfect results
Concepts, principles and theories
  1. How to use gels to to verify the presence of DNA
  2. How to use gels to quantify DNA fragment length
Using instruments and equipment
  1. How to adjust time, concentration and voltage to obtain optimal results
  2. How to determine if your gel has run for the required time

Troubleshooting potential errors

Interpreting and analysing data
  1. How to verify the presence of all DNA fragments
  2. How to quantify the length of all DNA fragments
Concepts, principles and theories
  1. How to determine the loading errors causing the results
  2. How to determine the gel preparation error causing the result
  3. How to determine the post-run error causing the result

Pathogen identification experiment

Concepts, principles and theories
  1. What the purpose of experimental controls is
  2. How many experimental controls need to be run for a scenario
  3. How to identify the appropriate DNA ladder for an experiment
  4. How to identify the presence of a pathogen using gel electrophoresis
Interpreting and analysing data
  1. How to determine if gels are giving the expected results from controls
  2. How to match control bands with sample bands
  3. How to determine the validity of results and what conclusions can be drawn

Triplet repeat disease risk

Manipulating and presenting data
  1. How to calculate the length of the repeat region and PCR amplicon for reference samples
  2. How to calculate appropriate values and assemble a standard curve
  3. What are appropriate axes titles and graph title for the standard curve
  4. How to identify appropriate trendline for the standard curve
  5. How to calculate the number of repeats in the TRD region for the patient sample and low-risk control
Using instruments and equipment
  1. How to decide the contents and controls to run in each gel lane
Obtaining and recording data
  1. How to record migration distances of ladder bands
  2. How to record migration distances for control samples and patient sample
Concepts, principles and theories
  1. How to select the appropriate DNA ladder for experimental scenarios
Interpreting and analysing data
  1. What actions to take if the gel results are not as expected
  2. How to identify the slope and y-intercept from the standard curve graph
  3. How to determine the patient's disease risk based on calculated repeats



Molecular Biology

PCR primer design

Designing and planning experiments
  1. Use the key principles of PCR to design primers
  2. Write DNA sequences of primers
  3. Design primer extensions
Concepts, principles and theories
  1. How primers are affected by length, melting temperature and GC content
  2. How restriction enzymes create overhang regions

Enzyme kinetics: plotting fundamentals

Manipulating and presenting data
  1. Manipulate data to construct Michaelis-Menten and Lineweaver-Burk plots
  2. Identify and interpret Michaelis-Menten and Lineweaver-Burk plots
Concepts, principles and theories
  1. Apply the Michaelis-Menten equation to a variety of scenarios to calculate Km and Vmax
  2. Identify the strengths and weaknesses of Michaelis-Menten in conjunction with other analytical methods

Protein purification and yield

Concepts, principles and theories
  1. How to apply total activity and specific activity in context
  2. How to differentiate percent recovery and purification factor
  3. How to determine level of success of purification for outlined objective
Interpreting and analysing data
  1. How to apply total activity and specific activity in context
  2. How to differentiate percent recovery and purification factor
  3. How to determine level of success of purification for outlined objective

The Hardy-Weinberg principle

Concepts, principles and theories
  1. How and when to apply the Hardy-Weinberg principle
  2. How to identify variables and apply Hardy-Weinberg equations 
  3. How and when to infer genotypes from phenotypes
  4. How to determine if evolutionary pressures are being applied to a biological system
Interpreting and analysing data
  1. How to calculate allele frequency using Hardy-Weinberg equations
  2. How to calculate genotype frequency using Hardy-Weinberg equations
Manipulating and presenting data
  1. How to summarise a large set of data

Chi-square test (genetics)

Manipulating and presenting data
  1. How to categorise organisms into their phenotypic groups
  2. How to obtain the proportions of organisms with each phenotype from a data set
  3. How to calculate the chi-square statistic
Interpreting and analysing data
  1. How to define an appropriate null hypothesis
  2. How to interpret a chi-square statistic
  3. How to assess whether to reject the formulated null hypothesis based on the p-value obtained



Microbiology

Microscopy: estimating size

Concepts, principles and theories
  1. What the purpose of various parts of a microscope are
Obtaining and recording data
  1. How to count divisions on a stage micrometer and eyepiece graticule
Using instruments and equipment
  1. How magnification can affect calibration
Interpreting and analysing data
  1. How to calibrate an eyepiece graticule</li><li>How to calculate the length of an object in a microscope

Histological staining

Concepts, principles and theories
  1. What the steps in histological staining are and their purpose
  2. How to differentiate between different staining methods
  3. How each of the different reagents is used to contribute to the staining of different cellular parts
Using instruments and equipment
  1. How to use each of the reagents and solutions in an H&E stain
Interpreting and analysing data
  1. How to identify good and poor results for an H&E stain
  2. How to identify specific problems with a stain and adjust to fix errors



Biomedical Science

Pharmacokinetics: single dose

Concepts, principles and theories
  1. What is meant by absorption and bioavailability
  2. What is the volume of distribution
  3. What factors contribute to the elimination of a drug from the body
  4. What is the difference between zero order and first order elimination kinetics
  5. What is meant by the elimination half-life, elimination constant and total clearance
  6. What is meant by the steady state and therapeutic window
Manipulating and presenting data
  1. How to calculate the bioavailability when the IV and non-IV dose are the same and when the doses are different
  2. How to calculate the volume of distribution and total clearance
  3. How to calculate steady state for a single dose and multiple doses
  4. How to calculate the dose interval for a dosage regimen
  5. How to calculate the loading dose and maintenance dose
  6. How to graphically estimate the initial plasma concentration and rate
Interpreting and analysing data
  1. How to estimate the volume of distribution from a graph
  2. How to calculate steady-state concentration
  3. How to analyse graphs to estimate the drug's half-life
  4. How to analyse a graph's trendline to calculate pharmacokinetic parameters

Pharmacokinetics: multiple doses

Manipulating and presenting data
  1. How to calculate suitable drug dose intervals
  2. How to calculate loading dose and maintenance dose amounts for given drug parameters
  3. How to calculate time to achieve steady state

Competitive antagonism

Manipulating and presenting data
  1. How to calculate and determine drug concentrations
  2. How to calculate and record the normalised response %
  3. How to calculate the dose ratios for each antagonist
Interpreting and analysing data
  1. How to correctly plot a dose-response curve
  2. How to identify the type of physiological response being measured
  3. How to determine maximum response from plots
  4. How to analyse the effect of the antagonist
  5. How to identify errors in dose-response curves and remedies for error
  6. How to determine gradient for Schild plot
Concepts, principles and theories
  1. How to abbreviate maximum response and concentration at which half-maximal response is achieved
Designing and planning experiments
  1. How to select independent and dependent variables for experimental set up
Obtaining and recording data
  1. How to record histamine concentrations and volumes for experiment

Ileum organ bath

Interpreting and analysing data
  1. How to analyse pharmacology data acquired using an organ bath
  2. How to interpret meaning of dose response curves
Manipulating and presenting data
  1. How to plot dose response curves

Ecology

Interpreting and analysing data
  1. Estimate the population size of a range of mark-recapture scenarios
Concepts, principles and theories
  1. Apply principles around the application of mark-release-recapture
Obtaining and recording data
  1. 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
  1. Interpret and use case study data to calculate Simpson's Diversity Index
Concepts, principles and theories
  1. When to apply Simpson's Diversity Index to various situations
  2. Compare the diversity of different habitats


Chemistry



Physical Chemistry

States of matter and phase diagrams

Manipulating and presenting data
  1. How to calculate experimental values for binary systems
Interpreting and analysing data
  1. How to interpret graphs and ternary phase diagrams to calculate percentage of components
Concepts, principles and theories
  1. How to identify correct binary phase diagrams
  2. How to define degrees of freedom for ternary systems

Calculating equilibrium constant

Manipulating and presenting data
  1. How to use an ICE table to calculate concentrations and moles
  2. How to calculate the equilibrium constant, Kc, using equilibrium concentrations
Concepts, principles and theories
  1. How equilibrium shifts due to changes in concentration or pressure
  2. How to write the equilibrium expression for a reaction
  3. How to interpret Kc in regards to product or reactant favourability

Redox and electrochemistry

Concepts, principles and theories
  1. How to determine oxidation numbers of elements
  2. How to identify the components of a Galvanic cell
  3. How to apply basic redox principles to identify oxidation and reduction reactions
  4. How to balance half and full redox reaction equations
Interpreting and analysing data
  1. How to calculate the cell potential of a redox reaction

Iodine clock reaction (persulfate variation)

Interpreting and analysing data
  1. How to calculate rate reactions from concentrations and time
  2. How to calculate reaction order and rate constant
  3. How to calculate activation energy from an Arrhenius plot
Concepts, principles and theories
  1. How to use the iodine clock reaction 
  2. How to derive the linearised form of the Arrhenius equation

Determine an unknown concentration of acid by titration

Interpreting and analysing data
  1. Interpreting equivalence points in titration curves
  2. Calculating concentration of a species from titration data
Designing and planning an experiments
  1. How to standardise NaOH with KHP
Concepts, principles and theories
  1. Why solutions of NaOH need to be standardised

Making a buffer

Concepts, principles and theories
  1. How to apply and rearrange the pH and pKa equations
Manipulating and presenting data
  1. How to calculate the proton concentration from the pH
  2. How to calculate the relative concentration of A- and HA from the Ka and proton concentration
  3. How to determine the relative moles of A- and HA from the relative concentration
  4. How to calculate the relative volumes of A- and HA to take from stock solutions
  5. How to determine the actual volumes of A- and HA to take from stock solutions
Designing and planning experiments
  1. How to calculate the required volumes of weak acid and conjugate base needed to make a buffer solution of desired pH

Kinetics: rate equations

Concepts, principles and theories
  1. How to identify which experiments would be suitable for determining the reaction order with respect to each reactant order
Manipulating and presenting data
  1. How to derive the reaction order equation from the rate of reaction equation</li><li>How to calculate the reaction order
Interpreting and analysing data
  1. How to calculate the rate constant of a reaction



Organic Chemistry

Introduction to naming organic molecules

Concepts, principles and theories
  1. How to identify and name the parent chain
  2. How to identify the functional group and its position on the parent chain
  3. How to name organic molecules with functional groups

Naming multi-chain molecules

Concepts, principles and theories
  1. How to name an alkane with side chains
  2. How to name an alkane with side chains and functional groups

Synthesis of paracetamol

Working in a safe manner
  1. How to identify experimental hazards and proper disposal methods
Manipulating and presenting data
  1. How to calculate the yield and Rf values
Concepts, principles and theories
  1. How to interpret TLC and melting point data to determine the purity of the synthesised product
  2. How to interpret spectra relating to the synthesis

Introduction to food tests

Concepts, principles and theories
  1. What the different food groups are
  2. How and when to use different food tests
  3. How food tests interact with macromolecules to give results
Interpreting and analysing data
  1. How to determine if various food tests are positive or negative: iodine solutions, Benedict's reagent, emulsion and biuret reagent
  2. How to identify the macromolecule composition from food test results



Inorganic Chemistry

The oxidation states of vanadium

Concepts, principles and theories
  1. How to apply basic principles of oxidation-reduction reactions
  2. How to balance oxidation-reduction half reactions
  3. How to balance oxidation-reduction full reactions

Inorganic pyrotechnics

Manipulating and presenting data
  1. How to calculate moles, mass, volume, theoretical yield, changes in enthalpy, entropy, and Gibbs free energy
Interpreting and analysing data
  1. How to interpret the results of change in Gibbs free energy
Concepts, principles and theories
  1. How to determine the oxidation states of elements in different molecules
  2. How to balance equations and analyse the causes of observable features of redox reactions

Coordination compounds

Manipulating and presenting data
  1. How to calculate the theoretical yield of a synthesised coordination compound
Concepts, principles and theories
  1. How to identify ligand types, geometry and the structures of different coordination compounds
  2. How to identify the reaction conditions required for organometallic coordination compounds



Analytical Chemistry

Chemical tests

Concepts, principles and theories
  1. Why precipitates form and what their colours indicate
  2. What the causes of effervescence are
  3. What the chemical equations and reactions are that can be leveraged for chemical test
  4. How to balance chemical equations
Interpreting and analysing data
  1. How to identify halide ions based on precipitate colour
  2. How to identify the presence of a metal based on flame colour
  3. How to use a litmus paper and determine results
  4. How to use carbonyl tests and identify results

NMR spectroscopy fundamentals

Interpreting and analysing data
  1. Identify the number of proton chemical environments and predict the number of signals in the 1H NMR spectrum
  2. Relate number of protons to relative intensity of peaks
  3. Identify splitting patterns from neighbours
Concepts, principles and theories
  1. How chemical environments will result in peaks of different chemical shifts

Mass spectroscopy fundamentals

Concepts, principles and theories
  1. How a mass spectrometer works to achieve fragmentation of a molecule
  2. How to identify lost radicals and their effect on mass spectrometry data
Using instruments and equipment
  1. What the required steps are to run a mass spectrometer
Interpreting and analysing data
  1. How to identify the structure of a fragment ion based on its m/z value
  2. How to determine m/z value of the base peak from a spectrum
  3. How to determine m/z value for molecular ion peak

Infrared spectroscopy analysis

Interpreting and analysing data
  1. Identify key peaks in an IR spectrum
  2. Correspond peaks with functional groups
  3. Use spectra to identify corresponding compounds and molecules

Identification of an unknown compound

Interpreting and analysing data
  1. Identify peaks on a mass spectrum of an unknown compound
  2. Identify functional groups from an IR spectrum
  3. Interpret and assign hybridisation and splitting patterns of an H-NMR spectrum to an unknown compound
  4. Interpret and assign hybridisation of a C-NMR spectrum to an unknown compound
Concepts, principles and theories
  1. Calculate empirical formula from percent mass
  2. Use a combination of analytical techniques to identify an unknown compound


Forensics

Scene management: prior to the examination

Working in a safe manner
  1. What Personal Protective Equipment (PPE) to use
  2. How to keep yourself and others safe at a scene
  3. How to manage a crime scene
Obtaining and recording data
  1. How information gathering informs the dynamic health and safety risk assessment
  2. How information gathering informs crime scene management
  3. How information gathering informs forensic assessment processes
Concept, principles and theories
  1. Forensic Science Regulator Codes of Conduct and Practice
  2. ISO 17020 accreditation criteria
  3. Dynamic health and safety risk assessment
  4. Locard's Principle
  5. Crime Scene Management
  6. College of Policing Murder Investigation Manual

Incident scene: assessments and examination

Obtaining and recording data
  1. Why information gathering and communication skills are important in maximising forensic evidence opportunities
  2. How to identify priority forensic evidence and other evidence types relevant to the investigation
  3. How to record observations, actions and priority evidence
  4. How to develop a forensic strategy for evidence recovery and a hypothesis
  5. How to maximise forensic evidence opportunities
Interpreting and analysing data
  1. How to interpret fingerprint, DNA, footwear, drugs, fibres, glass and other forensic evidence
  2. What factors to take into account when considering the value and significance of evidence
  3. How to interpret forensic evidence and its priority and significance for the investigation
  4. How to develop a forensic strategy for evidence recovery and a hypothesis as to the circumstances of the incident
Concepts, principles and theories
  1. Forensic Science Regulator Codes of Conduct and Practice
  2. ISO 17020 accreditation criteria
  3. Dynamic health and safety risk assessment
  4. Locard's Principle
  5. Crime scene management
  6. College of Policing Murder Investigation Manual


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