CHEMISTRY-09 · Undergraduate · ENGLISH · PLANNED
Connect visible observations, particle models and chemical notation.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Chemistry | Physical Chemistry I: Thermodynamics and Kinetics
Playlist title reserved in the plan; no YouTube playlist or upload has been created yet.
Sign in to save this learning pathPractical outcome: Model a phase change with explicit state variables.
Explain state functions using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain differential work using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain heat capacities using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain thermodynamic cycles using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Use the first concepts from this section. Model a phase change with explicit state variables. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain entropy calculations using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain gibbs energy using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain chemical potential using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Explain maxwell relations using a visual and one worked real-world example. Context: Model a phase change with explicit state variables. End with a prediction or check-for-understanding.
Model a phase change with explicit state variables. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering State functions, Differential work, Heat capacities and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Read a binary phase diagram for a material mixture.
Explain phase rule using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain clapeyron equation using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain clausius-clapeyron approximation using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain ideal solutions using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Use the first concepts from this section. Read a binary phase diagram for a material mixture. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain raoult's law using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain activity using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain fugacity using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Explain equilibrium from free energy using a visual and one worked real-world example. Context: Read a binary phase diagram for a material mixture. End with a prediction or check-for-understanding.
Read a binary phase diagram for a material mixture. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Phase rule, Clapeyron equation, Clausius-Clapeyron approximation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Fit competing kinetic models to a supplied time series.
Explain integrated rate laws using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain half-life by order using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain arrhenius equation using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain elementary steps using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Use the first concepts from this section. Fit competing kinetic models to a supplied time series. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain steady-state approximation using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain pre-equilibrium approximation using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain chain reactions concept using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Explain transition-state theory using a visual and one worked real-world example. Context: Fit competing kinetic models to a supplied time series. End with a prediction or check-for-understanding.
Fit competing kinetic models to a supplied time series. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Integrated rate laws, Half-life by order, Arrhenius equation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Fit competing kinetic models to a supplied time series. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Physical Chemistry I: Thermodynamics and Kinetics, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Molecular models, reaction accounting and supplied laboratory data. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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