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Graduate Aptitude Test in Engineering (GATE-2025)

REVA University’s entrance exam for UG program admissions in engineering and technology.

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The General Aptitude section in GATE is a mandatory part across all papers and comprises two main components:

General Aptitude
Section Topics
Verbal Aptitude - Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
- Basic vocabulary: words, idioms, and phrases in context
- Reading and comprehension
- Narrative sequencing
Quantitative Aptitude - Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2D and 3D plots, maps, and tables
- Numerical computation and estimation: ratios, percentages, powers, exponents, logarithms, permutations, combinations, and series
- Mensuration and geometry
- Elementary statistics and probability
Analytical Aptitude - Logic: deduction and induction
- Analogy
- Numerical relations and reasoning
Spatial Aptitude - Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping
- Paper folding, cutting, and patterns in 2D and 3D
Aerospace engineering
Section Core Topics Special Topics
Section 1: Engineering Mathematics Linear Algebra, Calculus, Differential Equations Fourier Series, Laplace Transforms, Numerical Methods, Complex Analysis, Probability and Statistics
Section 2: Flight Mechanics Atmosphere, Airplane Performance, Static Stability Dynamic Stability, Euler Angles, Equations of Motion, Longitudinal and Lateral-Directional Dynamics
Section 3: Space Dynamics Central Force Motion, Trajectory, Orbital Period, Kepler’s Laws, Escape Velocity None
Section 4: Aerodynamics Basic Fluid Mechanics, Potential Flow Theory, Airfoils and Wings, Compressible Flows Wind Tunnel Testing, Shock-Boundary Layer Interaction
Section 5: Structures Strength of Materials, Flight Vehicle Structures, Structural Dynamics Vibration of Beams, Theory of Elasticity
Section 6: Propulsion Basics of Thermodynamics, Aerothermodynamics of Aircraft Engines, Engine Performance, Turbomachinery, Centrifugal Compressor, Axial Turbines, Rockets Aerothermodynamics of Non-Rotating Components, Turbine Blade Cooling, Compressor-Turbine Matching, Surge and Stall
Agriculture engineering
Section Topics
Section 1: Engineering Mathematics Linear Algebra, Calculus, Vector Calculus, Differential Equations, Probability and Statistics, Numerical Methods
Section 2: Farm Machinery Machine Design, Farm Machinery, Performance Parameters, Cost Analysis of Implements and Tractors
Section 3: Farm Power Sources of Power, Farm Power (IC Engines), Tractors and Power Tillers
Section 4: Soil and Water Conservation Engineering Fluid Mechanics, Soil Mechanics, Hydrology, Surveying and Levelling, Soil and Water Erosion, Watershed Management
Section 5: Irrigation and Drainage Engineering Soil-Water-Plant Relationship, Irrigation Water Conveyance and Application Methods, Agricultural Drainage, Groundwater Hydrology, Wells and Pumps
Section 6: Agricultural Process Engineering Engineering Properties of Agriculture Produce, Evaporation and Drying, Size Reduction and Material Handling, Processing of Agriculture Produce, Storage Systems
Section 7: Dairy and Food Engineering Heat and Mass Transfer, Preservation of Food
Architecture and planning
Part Section Topics
Part A: Common Section 1: Architecture, Planning, and Design Architectural Graphics, Visual Composition, Computer Applications, Anthropometrics, Space Standards, Universal Design, Building Bye Laws, Codes and Standards
Section 2: Construction and Management Project Management (PERT, CPM), Estimation, Professional Practice, Disaster-Resistant Structures, Temporary Structures
Section 3: Environmental Planning and Design Ecosystems, Environmental Pollution, Sustainable Development, Climate Change, Climate Responsive Design
Section 4: Urban Design, Landscape, and Conservation Urban Design Theories, Public Spaces, Urban Renewal, Heritage Conservation, Landscape Design, Site Planning
Section 5: Planning Process Urban Planning Concepts, Smart City, Social and Economic Analysis, Development Guidelines (URDPFI)
Section 6: Housing Housing Typologies, Neighbourhood Concepts, Affordable Housing, Real Estate Valuation
Section 7: Services and Infrastructure Firefighting, Safety Systems, Water Supply, Stormwater Drainage, Waste Management, Road Design, Pedestrian Planning
Part B1: Architecture Section B1.1: History and Contemporary Architecture Art and Architecture Principles, World History (Egyptian to Post-Modern), Indian Vernacular Architecture, Works of Renowned Architects
Section B1.2: Building Construction and Structural Systems Building Techniques, Prefabrication, Strength of Materials, Alternative Building Materials, Structural Systems, High Rise and Long Span Structures
Section B1.3: Building Services and Sustainability Solar Architecture, Comfort in Built Environments, Air-Conditioning, Sustainable Strategies, Water Supply, Plumbing, Elevators, and Escalators
Part B2: Planning Section B2.1: Regional and Settlement Planning Regional Delineation, Transit-Oriented Development (TOD), Housing Policies, Slums, Squatters, Housing Standards
Section B2.2: Planning Techniques and Management GIS and Remote Sensing, Surveys, Urban Economics, Planning Legislation, Land Information System, Demography
Section B2.3: Infrastructure Planning Transportation Planning, Road Capacity, Traffic Flow Analysis, Mass Transportation, Intelligent Transportation Systems
Biomedical engineering
Topic Subtopics
Engineering Mathematics
Linear Algebra Matrix algebra, Systems of linear equations, Eigenvalues, and Eigenvectors.
Calculus Mean value theorems, Theorems of integral calculus, Partial derivatives, Maxima and minima, Multiple integrals, Fourier series, Vector identities, Line, surface, and volume integrals, Stokes, Gauss, and Green's theorems.
Differential Equations First order linear and nonlinear differential equations, Higher-order linear differential equations with constant coefficients, Method of separation of variables, Cauchy's and Euler's equations, Initial and boundary value problems, Solution of partial differential equations.
Complex Variable Analysis Analytic functions, Cauchy's integral theorem and formula, Taylor's and Laurent's series, Residue theorem.
Probability and Statistics Sampling theorems, Conditional probability, Mean, median, mode, Standard deviation, Random variables, Distributions (normal, Poisson, binomial), Tests of significance, Linear regression and correlation analysis.
Numerical Methods Matrix inversion, Numerical solutions of nonlinear algebraic equations, Iterative methods for solving differential equations, Numerical integration.
Electrical Circuits Voltage and current sources, v-i relationships (resistor, inductor, capacitor), Transient analysis of RLC circuits, Kirchoff's laws, Thevenin, Norton, Superposition, Peak, Average and RMS values of AC, Phasor analysis, Resonance, Filters, Bode plot.
Signals and Systems Continuous and discrete signals, Sampling theorem, Laplace and Fourier transforms, Impulse response, Transfer function, Convolution, DFT, Z-transform, FIR and IIR filters.
Analog and Digital Electronics Diodes, BJTs, MOSFETs, Operational amplifiers, Number systems, Boolean algebra, Combinational logic circuits, Sequential circuits, ADC, DAC, Microprocessor architecture.
Measurements and Control Systems SI units, Errors in measurement, Accuracy and precision, PMMC, MI instruments, DC potentiometer, Bridges for R, L, C measurement, Control systems, Transfer function.
Sensors and Instrumentation Resistive, capacitive, inductive sensors, ECG, EEG, EMG, EOG measurements, Sphygmomanometer, Ventilator, Pacemaker, Defibrillator, Pulse oximeter, Isolation, Safety of biomedical instruments.
Human Anatomy and Physiology Basics of cell, Types of tissues, Organ systems, Homeostasis, Musculoskeletal, Respiratory, Circulatory, Excretory, Endocrine, Nervous, Gastrointestinal, Reproductive systems.
Medical Imaging Systems Physics, Instrumentation and image formation for X-Ray, CT, SPECT, PET, MRI, Ultrasound.
Biomechanics Kinematics of muscles and joints, Stress and strain, Biomechanical analysis, Gait analysis, Properties of bones, Viscoelastic properties of tissues, Biofluid mechanics.
Biomaterials Metallic, ceramic, polymeric, and composite biomaterials, Biocompatibility, Bioactivity, Biodegradability, Drug delivery, Tissue engineering, Biomaterial characterization (Rheology, Microscopy, Spectroscopy).
Biotechnology
Section Topics
Section 1: Engineering Mathematics Linear Algebra: Matrices and determinants; Systems of linear equations; Eigenvalues and Eigenvectors.
Calculus: Limits, continuity, differentiability; Partial derivatives, maxima and minima; Sequences and series; Test for convergence.
Differential Equations: Linear and nonlinear first-order ODEs, higher-order ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms.
Probability and Statistics: Mean, median, mode, standard deviation; Random variables; Poisson, normal, and binomial distributions; Correlation and regression analysis.
Numerical Methods: Solution of linear and nonlinear algebraic equations; Integration by trapezoidal and Simpson’s rule; Single-step method for differential equations.
Section 2: General Biology Biochemistry: Biomolecules; Membranes; Metabolism of carbohydrates, lipids, amino acids, nucleic acids; Photosynthesis, respiration, and electron transport chain.
Microbiology: Bacterial classification; Microbial ecology; Microbial diseases and host-pathogen interactions.
Immunology: Innate and adaptive immunity; Antibody structure and function; Molecular basis of antibody persity; Antigen-antibody reaction; Regulation of immune response.
Section 3: Genetics, Cellular and Molecular Biology Genetics and Evolutionary Biology: Mendelian inheritance; Gene interaction; Linkage, recombination, chromosome mapping; Genetic disorders; Population genetics; Selection and inheritance.
Cell Biology: Prokaryotic and eukaryotic cell structure; Cell cycle; Cell communication and signaling; Post-translational modifications.
Molecular Biology: Molecular structure of genes; Regulation of gene expression; DNA replication, transcription, and repair; RNA interference.
Section 4: Fundamentals of Biological Engineering Engineering Principles: Material and energy balances for reactive and non-reactive systems; Stoichiometry of growth and product formation; Theoretical oxygen demand.
Thermodynamics and Bioenergetics: Laws of thermodynamics; Phase equilibria; Membrane potential; Energetics of metabolic pathways.
Transport Processes: Newtonian and non-Newtonian fluids; Molecular diffusion; Oxygen transfer in bioreactor.
Section 5: Bioprocess Engineering and Process Biotechnology Bioreaction Engineering: Rate law, kinetics; Ideal reactors; Enzyme immobilisation; Kinetics of cell growth, substrate utilisation; Batch, fed-batch, continuous processes.
Upstream and Downstream Processing: Media formulation; Filtration; Centrifugation; Chromatography; Extraction, adsorption, drying.
Instrumentation and Process Control: Measurement devices; Valves; Controllers – proportional, derivative, integral control.
Section 6: Plant, Animal and Microbial Biotechnology Plants: Totipotency; Plant tissue culture; Transgenic plants; Somaclonal variation; Protoplast fusion; Production of secondary metabolites.
Animals: Culture media; Hybridoma technology; Transgenic and knock-out animals; Stem cell technology.
Microbes: Production of primary and secondary metabolites; Large-scale production of recombinant proteins.
Section 7: Recombinant DNA technology and Other Tools in Biotechnology Recombinant DNA Technology: Restriction and modification enzymes; Vectors; Gene isolation and cloning; Gene transfer technologies; CRISPR-Cas.
Molecular Tools: PCR; DNA/RNA labelling; Blotting techniques; DNA fingerprinting.
Analytical Tools: Microscopy (light, electron, fluorescent); Spectroscopy (UV, IR, NMR, MS); Flow cytometry; Enzymatic assays.
Computational Tools: Bioinformatics resources; Sequence analysis; Genomics, proteomics, metabolomics; Gene prediction; Systems biology.
Section 8: Civil Engineering Engineering Mathematics: Linear Algebra, Calculus, ODE, PDE, Probability and Statistics, Numerical Methods.
Structural Engineering: Engineering mechanics, Solid mechanics, Structural analysis, Concrete and Steel structures.
Geotechnical Engineering: Soil mechanics, Foundation engineering.
Water Resources Engineering: Fluid mechanics, Hydraulics, Hydrology, Irrigation.
Environmental Engineering: Water treatment, Air pollution, Solid waste management.
Transportation Engineering: Highway and railway design, Pavements, Traffic engineering.
Geomatics Engineering: Surveying principles, Photogrammetry, Remote sensing.
Chemical engineering
Section Topics
1: Engineering Mathematics Linear Algebra: Matrix algebra, Systems of linear equations, Eigenvalues and eigenvectors.
Calculus: Functions of single variable, Limit, continuity, differentiability, Taylor series, Mean value theorems, Definite and improper integrals, Partial derivatives, Gradient, Divergence, Curl, Stokes, Gauss, Green’s theorems.
Differential Equations: First order equations, Higher-order linear differential equations, Cauchy’s and Euler’s equations, Laplace transforms, Heat, wave, and Laplace equations.
Complex Variables: Complex number, Polar form, Triangle inequality.
Probability & Statistics: Definitions of probability, Conditional probability, Mean, median, mode, standard deviation, Poisson, Normal, Binomial distributions, Linear regression.
Numerical Methods: Solutions of linear and non-linear algebraic equations, Trapezoidal and Simpson’s rule, Numerical solutions for differential equations.
2: Process Calculations & Thermodynamics Steady and unsteady mass/energy balances, Gibbs phase rule, recycle, bypass, purge calculations, First and Second laws of thermodynamics, Thermodynamic properties of substances, VLE, Chemical reaction equilibrium.
3: Fluid Mechanics & Mechanical Operations Fluid statics, Newtonian and Non-Newtonian fluids, Bernoulli’s equation, Friction factors, Dimensional analysis, Flow through pipelines, Pumps, Compressors, Boundary layer theory, Settling, Centrifuge, Cyclones, Filtration, Mixing, Conveying solids.
4: Heat Transfer Energy equation, Heat conduction, Convection, Radiation, Heat exchangers, Double pipe, Shell and tube exchangers, Evaporation processes.
5: Mass Transfer Fick’s laws, Diffusion in fluids, Mass transfer coefficients, Analogies in momentum, heat, mass transfer, Distillation, Absorption, Leaching, Liquid-liquid extraction, Membrane separations (Micro, Ultra, Nano-filtration, Reverse osmosis).
6: Chemical Reaction Engineering Reaction rate theories, Kinetics of homogeneous reactions, Ideal reactors, Non-ideal reactors, Catalysis, Catalyst deactivation, Enzyme reaction kinetics (Michaelis-Menten, Monod models).
7: Instrumentation & Process Control Measurement of process variables, Sensors, P&ID symbols, Transfer functions, Controller modes (P, PI, PID), Control valves, Closed loop system analysis, Controller tuning, Cascade and feed-forward control.
8: Plant Design & Economics Process economics, Cost estimation, Depreciation, Cost indices, Rate of return, Payback period, Optimization in process design, Chemical equipment sizing (heat exchangers, contactors).
9: Chemical Technology Inorganic chemical industries (Sulfuric acid, Phosphoric acid, Chlor-alkali), Fertilizers (Ammonia, Urea, SSP, TSP), Natural products (Pulp, Paper, Sugar, Oil, Fats), Petroleum refining, Petrochemicals, Polymerization (Polyethylene, Polypropylene, PVC, Polyester).
Computer science and information technology
Section Topics
1: Engineering Mathematics Discrete Mathematics: Propositional and first-order logic, Sets, relations, functions, partial orders, lattices, Monoids, Groups, Graphs (connectivity, matching, colouring), Combinatorics (counting, recurrence relations, generating functions).
Linear Algebra: Matrices, determinants, systems of linear equations, eigenvalues and eigenvectors, LU decomposition.
Calculus: Limits, continuity, differentiability, Maxima and minima, Mean value theorem, Integration.
Probability & Statistics: Random variables, Distributions (Uniform, normal, exponential, Poisson, binomial), Mean, median, mode, standard deviation, Conditional probability, Bayes theorem.
2: Digital Logic Boolean algebra, Combinational and sequential circuits, Minimization, Number representations, Computer arithmetic (fixed and floating point).
3: Computer Organization & Architecture Machine instructions, Addressing modes, ALU, Data-path, Control unit, Instruction pipelining, Pipeline hazards, Memory hierarchy (cache, main memory, secondary storage), I/O interface (interrupt, DMA mode).
4: Programming & Data Structures Programming in C, Recursion, Arrays, Stacks, Queues, Linked lists, Trees, Binary search trees, Binary heaps, Graphs.
5: Algorithms Searching, Sorting, Hashing, Asymptotic worst-case time and space complexity, Algorithm design techniques (greedy, dynamic programming, pide-and-conquer), Graph traversals, Minimum spanning trees, Shortest paths.
6: Theory of Computation Regular expressions, Finite automata, Context-free grammars, Push-down automata, Regular and context-free languages, Pumping lemma, Turing machines, Undecidability.
7: Compiler Design Lexical analysis, Parsing, Syntax-directed translation, Runtime environments, Intermediate code generation, Local optimization, Data flow analyses (constant propagation, liveness analysis, common sub-expression elimination).
8: Operating System System calls, Processes, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock, CPU and I/O scheduling, Memory management, Virtual memory, File systems.
9: Databases ER-model, Relational model (relational algebra, tuple calculus, SQL), Integrity constraints, Normal forms, File organization, Indexing (B, B+ trees), Transactions, Concurrency control.
10: Computer Networks OSI & TCP/IP protocol stacks, Packet, Circuit, Virtual circuit switching, Data link layer (framing, error detection, Medium Access Control, Ethernet bridging), Routing protocols (shortest path, flooding, distance vector, link state), IP addressing, IPv4, CIDR, IP support protocols (ARP, DHCP, ICMP), NAT, Transport layer (flow control, congestion control, UDP, TCP, sockets), Application layer protocols (DNS, SMTP, HTTP, FTP, Email).
Chemistry
Section Topics
1: Physical Chemistry Structure: Quantum mechanics, Schrödinger equation, Particle in a box, Harmonic oscillator, Hydrogen atom, Approximation methods, LCAO-MO theory, Huckel approximation.
Group Theory & Spectroscopy: Symmetry, Point groups, Atomic & molecular spectroscopy, NMR, Raman spectroscopy.
Equilibrium & Thermodynamics: Laws of thermodynamics, Phase rule, Chemical equilibrium, Electrochemical cells.
Kinetics & Surfaces: Reaction mechanisms, Transition state theory, Photochemistry, Adsorption isotherms, Colloids, Micelles.
2: Inorganic Chemistry Main Group Elements: Hydrides, Oxides, Boranes, Silicates, Noble gases, Acid-base theories.
Transition Metals & Coordination Chemistry: VBT, CFT, Jahn-Teller effect, Electronic spectra, Metal-metal bonding.
Organometallics & Bioinorganic Chemistry: 18-electron rule, Catalysis, Oxygen binding, Metalloenzymes.
Solids & Instrumental Methods: Crystal structures, Band theory, UV-visible, FTIR, NMR, X-ray crystallography.
3: Organic Chemistry Stereochemistry: Chirality, Conformational analysis, Stereoselectivity.
Reaction Mechanisms: Substitutions, Additions, Elimination, Reactive intermediates.
Organic Synthesis: Coupling reactions (Heck, Suzuki, Stille), Green chemistry, Asymmetric synthesis.
Heterocycles & Biomolecules: Pyrrole, Indole, Carbohydrates, Peptides.
Experimental Techniques: Chromatography, NMR, Mass spectrometry.
Data science and artificial intelligence
Topic Key Concepts
Probability & Statistics Permutations, combinations, sample space, independent events, Bayes Theorem, mean, median, variance, standard deviation, random variables, Bernoulli, binomial, Poisson, normal distributions, Central Limit Theorem, z-test, t-test, chi-squared test.
Linear Algebra Vector space, linear dependence/independence, matrices, eigenvalues/eigenvectors, Gaussian elimination, LU decomposition, singular value decomposition.
Calculus & Optimization Limits, continuity, differentiability, Taylor series, maxima/minima, single variable optimization.
Programming, Data Structures Python, stacks, queues, linked lists, search algorithms (linear, binary), sorting (selection, bubble, insertion), pide & conquer (mergesort, quicksort), graph theory, traversals, shortest path.
Database Management ER-model, relational algebra, SQL, normalization, data warehouse schemas, indexing, data transformation, schema models.
Machine Learning Supervised: Regression, classification, decision trees, SVM, neural networks, cross-validation.
Unsupervised: Clustering (k-means, hierarchical), dimensionality reduction, PCA.
AI Search algorithms (informed, uninformed), logic (propositional, predicate), reasoning under uncertainty, inference techniques.
Electronics and communication engineering
Section Topics
Section 1: Engineering Mathematics Linear Algebra: Vector space, basis, matrix algebra, eigenvalues, rank, linear equations.
Calculus: Mean value theorems, integral calculus, partial derivatives, Taylor series, maxima/minima, multiple integrals.
Differential Equations: First order, higher order, Cauchy's, boundary value problems.
Vector Analysis: Vector operations, Gauss, Green, Stokes theorems.
Complex Analysis: Cauchy’s theorems, residue theorem, Taylor/Laurent series.
Probability & Statistics: Distributions (binomial, Poisson, normal), joint and conditional probability.
Section 2: Networks, Signals & Systems Circuit Analysis: Node, mesh analysis, theorems (Thevenin, Norton), steady-state analysis.
Continuous-time Signals: Fourier series, Fourier transform, sampling theorem.
Discrete-time Signals: Z-transform, DTFT, LTI systems, frequency response, group/phase delay.
Section 3: Electronic Devices Energy bands, carrier transport, P-N junction, Zener diode, BJT, MOSFET, LEDs, solar cells.
Section 4: Analog Circuits Diode circuits (clipping, clamping), BJT/MOSFET amplifiers, Op-amp circuits (filters, oscillators).
Section 5: Digital Circuits Number representations, Boolean algebra, sequential circuits, data converters (ADC, DAC), semiconductor memories, computer organization.
Section 6: Control Systems Basic components, feedback, block diagrams, Bode/root-locus plots, state variable models, compensation techniques (lag, lead).
Section 7: Communications Random Processes: Correlation, power spectral density.
Analog Communications: Amplitude and angle modulation, receivers.
Information Theory: Entropy, mutual information.
Digital Communications: PCM, digital modulation schemes (ASK, PSK, FSK), error correction codes (Hamming, CRC).
Section 8: Electromagnetics Maxwell’s equations, plane waves, transmission lines, waveguides, optical fibers, antennas.
Electrical engineering
Section Topics
Section 1: Engineering Mathematics Linear Algebra: Matrix algebra, linear equations, eigenvalues, eigenvectors.
Calculus: Theorems, integrals, partial derivatives, Fourier series, vector identities, Stokes/Gauss/Green’s theorems.
Differential Equations: First order, higher order, boundary value problems, separation of variables.
Complex Variables: Cauchy’s theorem, Taylor/Laurent series, residue theorem.
Probability & Statistics: Sampling, distributions, regression, correlation analysis.
Section 2: Electric Circuits Network elements, KCL, KVL, network theorems, transient/steady-state analysis, resonance, two-port networks, star-delta transformation, power factor.
Section 3: Electromagnetic Fields Coulomb’s law, electric/magnetic field, Gauss’s law, Biot-Savart law, Ampere’s law, Faraday’s law, inductance, magnetic circuits.
Section 4: Signals and Systems Continuous/discrete-time signals, Fourier series/transform, Laplace and Z transform, sampling theorem, RMS value.
Section 5: Electrical Machines Transformers, DC machines, 3-phase induction machines, synchronous machines, losses, and efficiency of electric machines.
Section 6: Power Systems Power generation, transmission, load dispatch, fault analysis, protection systems, circuit breakers, system stability.
Section 7: Control Systems Mathematical modeling, feedback, transfer functions, block diagrams, stability analysis, controllers (P, PI, PID), state space model.
Section 8: Electrical & Electronic Measurements Bridges, potentiometers, voltage, current, power measurements, digital instruments, oscilloscopes, error analysis.
Section 9: Analog & Digital Electronics Diode circuits, amplifiers, oscillators, operational amplifiers, active filters, digital logic circuits, A/D & D/A converters.
Section 10: Power Electronics Thyristor, MOSFET, IGBT circuits, DC-DC converters, rectifiers, AC-DC converters, current/voltage inverters, PWM control.
Environmental science and engineering
Section Topics
Section 1: Mathematics Foundation Linear Algebra: Determinants, matrices, systems of linear equations, eigenvalues, eigenvectors.
Calculus: Functions, limits, continuity, differentiability, Taylor series, integrals, partial/total derivatives.
Differential Equations: Linear and non-linear ODEs, Cauchy’s, Euler’s equations, Laplace transform.
Probability & Statistics: Descriptive statistics, probability, distributions, hypothesis testing, correlation, regression models.
Section 2: Environmental Chemistry Fundamentals: Covalent/ionic bonding, chemical equilibria, thermodynamics, kinetics.
Water Chemistry: Water quality, acid-base equilibria, redox reactions, contaminants.
Soil Chemistry: Organic matter, nitrogen, phosphorous, cation exchange capacity.
Atmospheric Chemistry: Urban smog, ozone formation, stratosphere chemistry.
Section 3: Environmental Microbiology Microorganisms: Prokaryotic/eukaryotic microorganisms, microbial persity, plant-soil interactions.
Cell Chemistry: Structure of biomolecules, stereochemistry, cell structure.
Microbial Metabolism: Anabolism, catabolism, enzymes, energy balances.
Microbial Growth & Control: Growth factors, control methods, Monod’s model, culture media.
Section 4: Water Resources & Environmental Hydraulics Water Resources: Global distribution, water quality, threats, conservation.
Surface Water Resources: Hydrological cycle, water balance, runoff models, rainwater harvesting.
Groundwater Resources: Aquifers, Darcy’s law, well hydraulics.
Environmental Hydraulics: Fluid mechanics, pressure measurement, flow through pipes, channel design.
Section 5: Water & Wastewater Treatment and Management Water and wastewater quality parameters, eutrophica

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