IB Chemistry home > Syllabus 2025 (Core & AHL)

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Tool 1: Experimental techniques

Addressing safety of self, others and the environment

  • Recognize and address relevant safety, ethical or environmental issues in an investigation.

Measuring variables - Understand how to accurately measure the following to an appropriate level of precision.

  • Mass
  • Volume
  • Time
  • Temperature
  • Length
  • pH of a solution
  • Electric current
  • Electric potential difference

Applying techniques - Show awareness of the purpose and practice of:

  • preparing a standard solution
  • carrying out dilutions
  • drying to constant mass
  • distillation and reflux
  • paper or thin layer chromatography
  • separation of mixtures
  • calorimetry
  • acid–base and redox titration
  • electrochemical cells
  • colorimetry or spectrophotometry
  • physical and digital molecular modelling
  • recrystallization
  • melting point determination
Tool 2: Technology

Applying technology to collect data

  • Use sensors
  • Identify and extract data from databases
  • Generate data from models and simulations

Applying technology to process data

  • Use spreadsheets to manipulate data
  • Represent data in a graphical form
  • Use computer modelling
Tool 3: Mathematics

Applying general mathematics

  • Use basic arithmetic and algebraic calculations to solve problems
  • Carry out calculations involving decimals, fractions, percentages, ratios, reciprocals and exponents
  • Carry out calculations involving logarithmic functions
  • Carry out calculations involving exponential functions (additional higher level)
  • Determine rates of change from tabulated data
  • Calculate mean and range
  • Use and interpret scientific notation (e.g. 3.5 × 106)
  • Use approximation and estimation
  • Appreciate when some effects can be ignored and why this is useful
  • Compare and quote values to the nearest order of magnitude
  • Understand direct and inverse proportionality, as well as positive and negative correlations between variables
  • Calculate and interpret percentage change and percentage difference
  • Calculate and interpret percentage error and percentage uncertainty
  • Distinguish between continuous and discrete variables

Using units, symbols and numerical values

  • Apply and use International System of Units (SI) prefixes and units
  • Identify and use symbols stated in the guide and the data booklet
  • Express quantities and uncertainties to an appropriate number of significant figures or decimal places

Processing uncertainties

  • Understand the significance of uncertainties in raw and processed data
  • Record uncertainties in measurements as a range (±) to an appropriate level of precision
  • Propagate uncertainties in processed data, in calculations involving addition, subtraction, multiplication, division and (HL only) exponents
  • Express measurement and processed uncertainties—absolute, fractional (relative), percentage—to an appropriate number of significant figures or level of precision
  • Apply the coefficient of determination (R2) to evaluate the fit of a trend line or curve

Graphing

  • Sketch graphs, with labelled but unscaled axes, to qualitatively describe trends
  • Construct and interpret tables, charts and graphs for raw and processed data including bar charts, histograms, scatter graphs and line and curve graphs
  • Plot linear and non-linear graphs showing the relationship between two variables with appropriate scales and axes
  • Draw lines or curves of best fit
  • Interpret features of graphs including gradient, changes in gradient, intercepts, maxima and minima, and areas
  • Draw and interpret uncertainty bars
  • Extrapolate and interpolate graphs
Inquiry 1: Exploring and designing

Exploring

  • Demonstrate independent thinking, initiative, and insight
  • Consult a variety of sources
  • Select sufficient and relevant sources of information
  • Formulate research questions and hypotheses
  • State and explain predictions using scientific understanding

Designing

  • Demonstrate creativity in the designing, implementation and presentation of the investigation
  • Develop investigations that involve hands-on laboratory experiments, databases, simulations, modelling
  • Identify and justify the choice of dependent, independent and control variables
  • Justify the range and quantity of measurements
  • Design and explain a valid methodology
  • Pilot methodologies

Controlling variables - Appreciate when and how to:

  • calibrate measuring apparatus
  • maintain constant environmental conditions of systems
  • insulate against heat loss or gain
Inquiry 2: Collecting and processing data

Collecting data

  • Identify and record relevant qualitative observations
  • Collect and record sufficient relevant quantitative data
  • Identify and address issues that arise during data collection

Processing data

  • Carry out relevant and accurate data processing

Interpreting results

  • Interpret qualitative and quantitative data
  • Interpret diagrams, graphs and charts
  • Identify, describe and explain patterns, trends and relationships
  • Identify and justify the removal or inclusion of outliers in data (no mathematical processing is required)
  • Assess accuracy, precision, reliability and validity
Inquiry 3: Concluding and evaluating

Concluding

  • Interpret processed data and analysis to draw and justify conclusions
  • Compare the outcomes of an investigation to the accepted scientific context
  • Relate the outcomes of an investigation to the stated research question or hypothesis
  • Discuss the impact of uncertainties on the conclusions

Evaluating

  • Evaluate hypotheses.
  • Identify and discuss sources and impacts of random and systematic errors
  • Evaluate the implications of methodological weaknesses, limitations and assumptions on conclusions
  • Explain realistic and relevant improvements to an investigation