NUSChBE

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National University of Singapore · Chemical & Biomolecular Engineering

Chemical Engineering
Roadmap

Visualise the big picture of the ChBE curriculum. See how every module connects, revisit foundational concepts, and revise through condensed materials built for examinations.

Course Connections

Prerequisite / builds upon

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Available Courses

Select a course to access its interactive study materials.

Year 1

CN1101Chemical Engineering Principles & Practice IIntroduction to chemical engineering — process streams, units, material balances, energy considerations, lab safety, and career pathways in ChBE.

MA1512Differential Equations for EngineeringFirst and second order ODEs, non-homogeneous equations, systems of ODEs, Laplace transforms, and power series solutions with engineering applications.

MA1513Linear Algebra with Differential EquationsVectors, matrices, linear systems, determinants, eigenvalues, and linear transformations — with applications to solving systems of differential equations.

Year 2

CN2103Material & Energy BalancesSystematic analysis of steady-state and transient material and energy flows through chemical process systems. Covers recycle, bypass, and combustion.

CN2104Chemical Engineering ThermodynamicsPhase equilibria, equations of state, thermodynamic property estimation, activity coefficients, fugacity, and reaction equilibria for chemical processes.

CN2105Reaction EngineeringMaster reactor design and analysis using a systematic 6-step framework. Covers Batch, CSTR, and PFR reactors — isothermal to non-isothermal, liquid to gas phase.

CN2106Transport PhenomenaUnified treatment of momentum, heat, and mass transfer. From fluid statics and pipe flow to convective heat transfer and boundary layers.

EE2211Introduction to Machine LearningSupervised and unsupervised learning algorithms from first principles. Linear regression, classification, model evaluation, neural networks, and real-world applications.

Year 3

CN3105Data Science for ChBEMachine learning fundamentals applied to chemical engineering. Linear regression, classification, neural networks, and real-world ChBE case studies.