| Department of Civil

B.Tech. in Civil Engineering

The Department of Civil Engineering at Shiv Nadar University offers a four-year undergraduate curriculum leading to the B.Tech. degree. The undergraduate curriculum is designed to equip students with a strong skill set such that they not only become outstanding professional civil engineers, but also learn to engage with social and management sciences to consider the larger social, economic, and environmental ramifications of civil works. The Civil Engineering faculty has diverse backgrounds with deep knowledge, and a range of skills and experience. In just six short years, the faculty have expanded the scope of teaching & research beyond traditional civil engineering to overlap with chemical, mechanical, and materials engineering, as well as with the geological, biological, mathematical, and computer sciences. The Department requires students to complete a minimum of 160 valid credits, of which 103 credits are in mandatory core courses.

Total Credits


Core Credits


Major Electives


CCC + UWE credits

Core & Elective Courses

Core Courses

Engineering Mechanics

Fundamentals of Mechanics, Equivalent Force-Couple Systems, Simple Resultant, Equilibrium of 2D and 3D Systems, Truss, Friction, Methods of Virtual Work and Potential Energy,

Dynamics and Vibrations.

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Engineering Graphics

Engineering Graphics

Material Science and Engineering

Structural morphology, basic structural elements and force systems, Mechanical properties (strength, structural performance), Classical building materials, New age building materials, Miscellaneous materials:

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Strength of Materials

Stresses and Strains, Principal stress & principal strain, Transformation of plane strain, Mohr’s circle for plane strain, Constitutive Relationships, Beam statics, Beam bending & Shear, Torsion, Buckling

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Fluid Mechanics

Studies fluids ( liquids , gases , and plasmas ) and the forces, Fluid statics; Fluid kinematics; Fluid dynamics; Flow through pipes; Dimensional analysis and similitude; Boundary Layer Analysis; & Flow Measurement Devices

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Engineering Hydrology

Hydrologic cycle – types of precipitation, measurement of rainfall – spatial measurement methods – temporal measurement methods, precipitation and losses, stream flow measurement, hydrographs, floods and flood routing

Structural Analysis I

Structure, load, response, Force response in statically determinate structures, Displacement response in statically determinate structures, Analysis of statically indeterminate structures

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Concrete Technology

Cement, aggregate, concrete, chemical and mineral admixture, Mix design, Properties of fresh and hardened concrete, Durability and special concrete

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Elements of Surveying

measuring linear distances and angles, chain, compass, plane table, levelling and contouring, Area and volume calculation, Theodolite, and Electronic devices in Surveying.

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Hydraulic Engineering

Types of open channel flow, resistance relationships in open channel flow, Uniform Flow, use of momentum principle in open channel flow, concept of specific energy and specific force, velocity measurement, flow profiles, draw down and back water curves, hydraulic jumps, basic characteristics of jump, energy dissipation due to jumps, flow through culverts and bridge piers, types of turbines and pumps, operating characteristic curves, cavitation.

Structural Analysis II

Course Objective:
1.    Understand analysis of statically indeterminate structures and its application to one dimensional members
2.     Understand different methods and their advantages to analyze the indeterminate structures
3.    Understand matrix method of analysis and be able to develop computer programs to analyze two dimensional plane structures
4.    Understand plastic analysis of structures and be able to analyze collapse load for beams and frames
1.    Unit-I: Introduction to Statically Indeterminate Structures
Review of analysis for statically determinate structures, Degree of indeterminancy and stability of structures, Overview of analysis of indeterminate structures by force methods and displacement methods, Importance of matrix analysis
2.    Unit-II: Analysis of Statically Indeterminate Beams
Theorem of three moments, energy methods, flexibility coefficients, Two hinged arches: Reaction, horizontal thrust, effect of yielding of supports, temperature change, Column analogy method: method development, analysis of beams by column analogy method
3.    Unit-III: Analysis of Statically Indeterminate Structures
Moment distribution method: Introduction, method development, solution of continuous beam, effect of settlement and rotation of support, frames with or without lateral sway
Kani’s method: Introduction, basic concepts, application to beams and frames with and without side sway
Slope deflection method: Introduction, development of slope deflection equations, application to continuous beams and frames with and without lateral sway
4.    Unit-IV: Matrix Stiffness method
Introduction, stiffness and flexibility coefficient, member stiffness matrix, transformation, compatibility and equilibrium, assemblage of structural stiffness matrix, Imposing support conditions, banded property of structural stiffness matrix, computer implementation
5.    Unit-V: Plastic Analysis
Introduction, stress-strain curve, beams in pure bending, plastic moment of resistance, shape factor, load factor, plastic hinge and mechanism, plastic analysis of simple structures, upper and lower bound theorems

Soil Mechanics

This course is intended to provide an understanding of the nature of soil, fundamentals of mechanical behavior of soil, a concise and clear knowledge of the basic principles of soil mechanics, and awareness of the applications to geotechnical engineering problems. It provides the basic principles of the subject and illustrates how, why and with what limitations these principles can be applied in practice.
COURSE CONTENT: Soil formation and nature, Soil description and classification, Permeability and seepage, Compaction, Effective stress and pore pressure, Compressibility and consolidation, Shear Strength, Contact Pressure and stress distribution, Slope Stability.

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Water Resources Engineering

The objective of this Course is provide:
To understand water requirement for the irrigation crops
To know the design criteria for safe design of canal
To understand design concept of diversion headwork’s
Analyze forces acting on gravity dam its failure and carry out stability analysis of gravity dams
Understand design principles of spillways
To understand the about storage capacity of reservoirs

Learning Outcomes: Upon successful completion of the course, student should be able to
Calculate the crop water requirements
Estimate the capacity of a reservoir for different purposes
To design the various hydraulic structures such as irrigation canal, diversion headwork’s, gravity dam, spillway on the basic of hydraulic design principal

Transportation Engineering - I

The course presents an introduction to Transportation Engineering and focuses primarily on road transportation related issues. Main topics covered are: 

Introduction: Breadth and scope of Transportation Engineering, modes of transportation and their comparison, effect of transportation systems on economy, impact on environment; Road transport Characteristics, Classification of roads, Road development plans in India, network patterns. 
Traffic Engineering: Traffic Studies, Origin-Destination studies, speed and delay studies, accident analysis, volume studies, passenger car equivalent, etc.; Traffic control Devices, marking, Signs, Signals, Regulations; Speed-flow-density relationship, Greenshields model, signal timing estimation, capacity and Level-of-Service analysis. 
Roadway Geometry: Road, road user and vehicle characteristics, factors affecting design standards, cross-section elements, Stopping and overtaking sight distances, Road alignment, site selection, plan evaluation, Horizontal alignment, vertical alignment, design of summit and valley curves. 
Materials: Sub-grade soil, classification, group index, sub-grade soil stabilization; Aggregate, physical properties, mechanical properties, test on aggregates; Bituminous material, classification, tests on bitumen.
Pavement Design: Necessity of pavement, types of pavements & characteristics, design parameters, wheel loads and axle loads, tyre pressure, load repetitions, ESWL; rigid and flexible pavement design, stresses in rigid pavement. 
Lab Work based on various testing methods for materials such as soil, aggregates, and bitumen as well as exercises based on traffic engineering concepts.

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Design of Reinforced Concrete Structures

Introduction to reinforced concrete; Loads and load combinations; Basis of structural design, design philosophies, limit states method; Design for flexure, shear, bond and torsion; 

Design of structural components of buildings; Limit state of serviceability.

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Foundation Engineering and Design

Soil mechanics for analysis and design of foundations, both shallow and deep, and of earth retaining structures. Theory of lateral earth pressure; Methods of analyses; Bearing capacity theories; Design of shallow foundations: strip footings, isolated footings, combined footings, rafts, Foundations in difficult grounds; Ground improvement techniques; Soil reinforcement.

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Estimating, Costing and Project Management

Cash Flow Analysis, Uncertainty and Risk Analysis. Various phases of Project, Project proposal, Components of planning, Objectives of planning, factors affecting planning. Job Planning: Bar diagrams and bar charts, C.P.M. , P.E.R.T. : Event identification, event time, network preparation and analysis, precedence network and cost interaction. principles of estimating. Methods of taking out quantities of items of work. Mode of measurement, measurement sheet and abstract sheet, bill of quantities.

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Design of Steel Structures

Design Approach, Limit state analysis as per IS 800:2007, Design of connections, tension, compression member, Design of beams and truss, Plastic analysis of the structure 

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Introduction to Computing and Programming

This course briefs about Computer Structure, the Algorithmic approach to solve a problem, basic introduction to computers and its corresponding concepts for the benefit of students. Apart from this, programming concepts are also discussed in this course using C programming language.

Mathematical Methods I

Core course for all B.Tech. Optional for B.Sc. (Research) Chemistry. Not open as UWE.

Credits (Lec:Tut:Lab)= 3:1:0 (3 lectures and 1 tutorial weekly)

Prerequisites: Class XII Mathematics.

Overview:  In this course we study multi-variable calculus. Concepts of derivatives and integration will be developed for higher dimensional spaces. This course has direct applications in most engineering applications. 

Detailed Syllabus:

  1. Review of high school calculus.
  2. Parametric curves (Vector functions): plotting, tangent, arc-length, polar coordinates, derivatives and integrals.                                                                    
  3. Functions of several variables: level curves and surfaces, differentiation of functions of several variables, gradient, unconstrained and constrained optimization.
  4. Double and triple integrals: integrated integrals, polar coordinates, cylindrical and spherical coordinates, change of variables.
  5. Vector fields, divergence and curl, Line and surface integrals, Fundamental Theorems of Green, Stokes and Gauss.


  1. A Banner, The Calculus Lifesaver, Princeton University Press.
  2. James Stewart, Essential Calculus – Early Transcendentals, Cengage.
  3. G B Thomas and R L Finney, Calculus and Analytic Geometry, Addison-Wesley.
  4. Erwin Kreyszig, Advanced Engineering Mathematics, Wiley.

Past Instructors: Ajit Kumar, Sneh Lata

Mathematical Methods II

Core course for all B.Tech. Programs. Optional for B.Sc. (Research) Chemistry. Not available as UWE.

Credits (Lec:Tut:Lab)= 3:1:0 (3 lectures and 1 tutorial weekly)

Prerequisites: Class XII Mathematics

Overview:  We will study Ordinary Differential Equations which are a powerful tool for solving many science and engineering problems. This course also covers some basic linear algebra which is needed for systems of ODEs.

Detailed Syllabus:

  1. First order ODEs: separable, exact, linear
  2. Second order ODEs: homogeneous and nonhomogeneous linear, linear with constant coefficients, Wronskian, undetermined coefficients, variation of parameters
  3. Laplace transform: definition and inverse, linearity, shift, derivatives, integrals, initial value problems, time shift, Dirac’s delta function and partial fractions, convolution, differentiation and integration of transform
  4. Matrices: operations, inverse, determinant, eigenvalues and eigenvectors, diagonalization
  5. Systems of ODEs: superposition principle, Wronskian, constant coefficient systems, phase plane, critical points, stability


  1. James Stewart, Essential Calculus – Early Transcendentals, Cengage.
  2. Erwin Kreyszig, Advanced Engineering Mathematics, Wiley.

Past Instructors: Ajit Kumar, Neha Gupta

MATHEMATICAL METHODS III ? Probability and Statistics

Core course for B.Tech. except Computer Science. Not available as UWE.

Credits (Lec:Tut:Lab)= 3:0:0 (3 lectures weekly)

Prerequisites: MAT 103 (Mathematical Methods I)

Overview:  Probability is the means by which we model the inherent randomness of natural phenomena. This course introduces you to a range of techniques for understanding randomness and variability, and for understanding relationships between quantities. The concluding portions on Statistics take up the problem of testing our theoretical models against actual data, as well as applying the models to data in order to make decisions.

Detailed Syllabus:

  1. Probability: sample space and events, classical and axiomatic probability, permutations and combinations, conditional probability, independence, Bayes’ formula 
  2. Random Variables: discrete and continuous probability distributions, mean and variance, binomial and Poisson, normal, joint distributions, covariance, correlation and regression (linear) 
  3. Mathematical Statistics: exploring data, random samples, point estimation, Central limit theorem, Maximum likelihood, chi-square, t and F-distributions, confidence intervals, hypothesis testing


  1. Advanced Engineering Mathematics by Erwin Kreyszig, Wiley.
  2. Introduction to Probability and Statistics for Engineers and Scientists by Sheldon Ross, 2nd edition, Harcourt Academic Press.
  3. Theory and Problems of Beginning Statistics by L. J. Stephens, Schaum’s Outline Series, McGraw-Hill
  4. John E. Freund’s Mathematical Statistics with Applications by I. Miller & M. Miller, 7th edition, Pearson, 2011.

Past Instructors: Charu Sharma, Niteesh Sahni, Suma Ghosh

Introduction to Physics I

The aim of this course is to bridge the gap between the various boards across the country at 10+2 level and bring everyone at the standard undergraduate level. All the engineering branches have their origin in the basic physical sciences. In this course we aim to understand the basic physical laws and to develop skills for application of various physical concepts to the science and engineering through problem solving. This will involve the use of elementary calculus like differentiation and integration.   

Detailed Syllabus        

Mechanics: The inertial reference frames, Newton’s laws of motion in vector notation, Conservation of energy, Application of Newton’s laws of motion, Dynamical stability of systems: Potential energy diagram, Collisions: Impulse, conservation of energy and linear, momentum, Conservation of angular momentum and rotation of rigid bodies in plane Thermal Physics: Averages, probability and probability distributions, Thermal equilibrium and macroscopic variables, Pressure of an ideal gas from Newton’s laws - the kinetic theory of gases. Maxwell’s velocity distribution, Laws of Thermodynamics and the statistical origin of the second law of thermodynamics, Application of thermodynamics: Efficiency of heat engines and air-conditioners, Thermodynamics of batteries and rubber bands

Introduction to Physics II

This is a continuation of PHY 101 and is meant for engineers and non-physics majors. The course will introduce students to Electricity and Magnetism, Maxwell’s equations, Light as an electromagnetic wave, and Wave optics. 
Vector calculus: Gradient, Divergence, Curl and fundamental theorems of vector calculus. Basic laws in electricity and magnetism, Classical image problem, displacement current and continuity equation, Maxwell’s Equations, electromagnetic wave equation and its propagation in free space, conducting media and dielectric medium, Poynting theorem, Electromagnetic spectrum. 
Wave Optics: 
Interference of light waves: Young’s double slit experiment, displacement of fringes, Interference in thin films 
Diffraction: Fresnel’s and Fraunhofer’s class of diffraction, diffraction from single, double & N- Slits, Gratings. 
Polarization: Concept of Polarization in electromagnetic waves, types of polarized waves.

Elective Courses

Sustainable Infrastructure

It has been said that “infrastructure is the backbone of nations,” and that “it is a society’s inventory of systems and facilities that allow it to function properly and smoothly.” We will walk through infrastructure topic areas – energy, water, transportation, communication, natural resources and ecology – and frame the discussion around the key issues to consider and evaluate in planning for a sustainable and resilient infrastructure. This course is an exploration into methods, materials, processes, technologies, practices, and operations which play a part in making infrastructure sustainable. The intersection between policies necessary for sustainable infrastructure and political, economical, social, societal, and cultural factors will also be examined. Class discussions will center on three of the largest challenges of our times: 1) rapid urbanization; 2) existing scarcity of basics like clean water, clean air, food and land, all of which gets exacerbated by rapid urbanization; and 3) the inability and/or unwillingness of governments to anticipate problems and plan in advance of these phenomena.

Remote Sensing and GIS

Introduction to Remote Sensing
• Definition of Remote Sensing, History and scope of remote sensing, Electromagnetic Radiation (EMR) and atmospheric windows, Types of remote sensing.

• Thermal Emission of Radiation, Black body radiation, Radiation Principles: Plank’s Law, Stephen Boltezman law, Wien’s displacement law, Kirchoffs Law, Spectral signatures, Reflectance characteristics of Earths cover types.

Satellite platforms, sensors and resolutions
• Platforms: Airborne and Space borne, Sensors: Passive and Active, resolutions across track and along the track scanning, Optical sensors, Thermal scanners, and Microwave radar. Aerial Photography

• Satellite missions and image characteristics: Landsat series SPOT series, IRS satellite series, NOAA and MODIS series, etc.

• Image resolution: Spatial (IFOV), Spectral, Radiometric and Temporal, Image Preprocessing: radiometric, atmospheric and geometric corrections.

Application Studies
• Applications of Remote sensing in Environmental monitoring and assessment
• Applications of Remote sensing in Disaster Management
• Land use/ Land Cover Analysis

Concepts on GIS
• Definition, Basics of GIS and History, Geographic objects: point, line, area and their computer representation, Applications of GIS in various sectors.
• GIS Database (types, structures) and data Model, Geographic information and spatial data types (Map, Attributes, Image data).

Data formats and Models
• Raster data formats, vector data formats, advantages and disadvantages of raster and vector data formats.

Data acquisition and analysis
• Data acquisition (Inputs from RS imagery, GPS), Data entry & preparations (input, editing and attributing). Map scanning and digitizing, data conversion, linking of spatial and non-spatial data.

• Data manipulation and Spatial Data Analysis (Vector/Raster Geoprocessing)- Buffering, Viewshed Analysis, Raster/Vector Overlay Analysis, Map Algebra

Introduction to GIS software and Case studies
• Issues in spatial data quality, introduction to metadata and its importance.
• GIS Software, Introduction to Open Source GIS

Statistics in Structures

Importance of statistics, Data generation for statistics, Random Sampling, Hypothesis testing and goodness of fit, Analysis of variance, Statistics in the context of Civil  Engineering: Normal distribution, Characteristic strength, Factor of Safety, Design loads and ultimate capacity, Economic implications of confidence factor and design methodology.

Pavement Design

Pavement Types, Wheel Loads, Design Factors, Vehicle and Traffic Considerations, Climate, and Environment. 2. Properties of pavement component materials and material characterization,  Stresses in Flexible Pavements. Stresses in Rigid Pavements,  Philosophy of design of flexible and rigid pavements,  Design of flexible and rigid pavements using different methods, Design of overlays and drainage system, Pavement failure and maintenance

Basics of Photogrammetry and GPS

Introduction to Remote Sensing, Satellite platforms, sensors and resolutions Platforms: Airborne and Space borne, Sensors: Passive and Active, resolutions across track and along the track,  Applications of Remote sensing in Environmental monitoring and assessment, Applications of Remote sensing in Disaster Management, Concepts on GIS, Data acquisition and analysis, GIS software and Case studies

Air Quality Science and Engineering

Physical and chemical processes responsible for fate and transport of pollutants in the atmosphere, identifying and evaluating mitigation measures of existing concentrations levels of these air pollutants, atmospheric modeling techniques to examine the distributions of pollutants, Basics of air pollution including unit of expression and measurement techniques; Sources of air pollutants in the environment; Aerosol/particulate matter.

Analysis of Tall Building

Analysis of Tall Building

Transportation Systems

transportation systems, transportation economics, transportation planning, financing and pricing, issues of equity in transportation, transportation safety, transportation regulation and policy, sustainable transportation systems.

Geotechnical Earthquake Engineering

Vibration theory; Engineering seismology, Wave propagation through soils; Dynamic soil properties, Strong ground motion; Seismic hazard analysis; Seismic ground response analysis; Liquefaction and lateral spreading; Seismic microzonation, Seismic analysis and seismic performance assessment of structures.

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Causes of earthquakes and seismic waves; Measurement of earthquakes and measurement parameters, Linear earthquake analysis: idealization of structures, equations of motion for SDOF and MDOF systems, Nonlinear earthquake analysis: force-deformation relationships, equation of motion, controlling parameters, Vibration control systems; Concepts of active and passive controls; Base isolation for earthquake resistant design of structures: isolation systems and their modeling.

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Transportation Law Seminar

Course description not available.

Transport Infrastructure

Travel behavior in Indian cities; introduction to transport-related data sources in India; introduction to land use and transport interaction; definitions of terms and basic principles; introduction to the four-stage modelling process. The first stage (generation): category analysis, regression analysis and modelling trip ends. The second stage (trip distribution): estimating the trip matrix. The third stage (modal split): predicting mode use. The fourth stage (assignment): network assignment.