KEAM Syllabus 2026 — Complete Topic List with Free Study Notes | Shishya
KEAM · Syllabus
KEAM Syllabus 2026 — every subject & topic The complete Kerala Engineering Architecture Medical (KEAM) syllabus: 3 subjects, 71 topics. Every topic links to free study notes, practice questions and topic-wise quizzes.
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Physics weightage ×3 Units and Measurement Kinematics Laws of Motion Work, Energy and Power Motion of System of Particles and Rigid Body Gravitation Mechanics of Solids and Fluids Heat and Thermodynamics Oscillations and Simple Harmonic Motion Waves Electrostatics Current Electricity Magnetic Effects of Current and Magnetism Electromagnetic Induction and Alternating Current Electromagnetic Waves Optics Dual Nature of Matter and Radiation Atomic Nucleus Solids and Semiconductor Devices
Chemistry weightage ×2 Some Basic Concepts of Chemistry Structure of Atom Classification of Elements and Periodicity Chemical Bonding and Molecular Structure States of Matter Chemical Thermodynamics Equilibrium Redox Reactions and Electrochemistry Chemical Kinetics Surface Chemistry Hydrogen and s-Block Elements p-Block Elements d- and f-Block Elements Coordination Compounds General Principles and Processes of Isolation of Metals Basic Principles of Organic Chemistry Hydrocarbons
Mathematics weightage ×5 Sets, Relations and Functions Complex Numbers Quadratic Equations Sequences and Series Permutations and Combinations Mathematical Induction and Binomial Theorem Matrices and Determinants Linear Inequations Trigonometric Functions and Identities Trigonometric Equations Inverse Trigonometric Functions Solutions of Triangles Straight Lines Pair of Straight Lines Circles Conic Sections Three-Dimensional Geometry Don't just read the syllabus — find out which topics YOU need
A free KEAM diagnostic mock maps your weak topics against this exact syllabus in ~10 minutes.
Principles of Communication
Organic Compounds with Halogens
Organic Compounds with Oxygen
Organic Compounds with Nitrogen
Polymers
Biomolecules
Environmental Chemistry
Chemistry in Everyday Life Vectors
Statistics
Probability
Limits and Continuity
Differentiation
Applications of Derivatives
Integration
Applications of Integrals
Differential Equations
Linear Programming