Ph.D Admissions 2019

Admission Notice-Ph.D Programme

Ph.D. Chemistry Syllabus

Course Name: Ph.D. Chemistry
Syllabus for Entrance test of Ph.D. programme

UNIT-I: Inorganic Chemistry
Chemical periodicity, shapes of molecules (VSEPR Theory), Concepts of acids and bases, Non-aqueous solvents. , Transition elements and coordination compounds, reaction mechanisms, Inner transition elements, redox chemistry, Organometallic compounds, Bioinorganic chemistry, Characterisation of inorganic compounds by IR, Raman, NMR, EPR, Mössbauer, UV-vis, NQR, MS, electron spectroscopy and microscopic techniques, Nuclear chemistry.
UNIT-II: Physical Chemistry:
Basic principles of quantum mechanics, Approximate methods of quantum mechanics, Atomic structure and spectroscopy, Chemical bonding in diatomic, Huckel theory for conjugated π-electron systems, Chemical applications of group theory, Molecular spectroscopy, Chemical thermodynamics, Statistical thermodynamics, Electrochemistry, Chemical kinetics, Colloids and surfaces, Solid state, Polymer chemistry.
UNIT-III: Organic Chemistry:
IUPAC nomenclature of organic molecules, stereoisomers, Aromaticity, Organic reactive intermediates, Organic reaction mechanisms , Common named reactions and rearrangements , Pericyclic ,Principles and applications of photochemical reactions in organic chemistry, Synthesis and reactivity of common heterocyclic compounds containing one or two heteroatoms (O, N, S), Chemistry of natural products, Structure determination of organic compounds by IR, UV-Vis, 1H & 13C NMR and Mass spectroscopic techniques.
UNIT-IV: Interdisciplinary topics:
Chemistry in Nano-science and technology, Catalysis and green chemistry, Medicinal chemistry, Supra molecular chemistry, Environmental chemistry.

Ph.D. Physics Syllabus

Syllabus for the admission of Ph.D. programme

General Aptitude and Reasoning: Data interpretation, Coding-decoding, Figure Classification. Arithmetic number series, Critical reasoning and verbal deduction, numerical reasoning.
Unit -II
Computer:Basic of computers, MSoffice, DOS, Generation of computers, Internet, LAN, VAN, Languages of computers
Mathematical Physics: Differential equations, Matrices and determinants, Complex numbers, Fourier’s and Laplace Transforms
Classical Mechanics: Lagrangian and Hamiltonian mechanics along with their applications
Quantum Mechanics:Wave function and Uncertainty principle, Schrodinger equation, Postulates of quantum mechanics, one dimensional applications, Dirac and Matrix formulation, Angular momentum
Electronics:Theory and applications ofP-N Junction Diode, Bipolar Junction Transistors (BJT) and Field Effect Transistors (JFET and MOSFET), Operational Amplifiers and their applications.
Digital Electronics: Number systems, Boolean algebra, Logic Gates and their applications (FLIP-FLOPS).
Solid State Physics: Crystal Structures, Dielectric, Magnetic, Optical and Electronic properties of materials, Superconductors.
Nuclear Physics: Nuclear reactions, nuclear models and Particle Detectors.

Computer Science & Engineering Syllabus


Unit – I
Digital Logic: Number system, Information representation, Computer arithmetic on fixed & floating point numbers, Boolean algebra, Combinational circuits, sequential circuits,.
Programming Languages: Paradigms, Data types, operations, Expressions, Control structures, I/O statements, Parameter passing techniques. Language constructs for object-oriented, functional, logic & concurrent programming.
Optimization: Linear Programming: LPP in the standard form, canonical forms, conversion in standard form, Simplex prevention of cyclic computations in Simplex & Tableau, Big-M method, Dual Simplex & revised simplex.
Unit – II
Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data-path, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, secondary storage.
Data structure: Arrays, stacks, queues, linked lists, tree, binary search trees, and binary heaps.
Algorithms: Analysis, Asymptotic notation, notions of space and time complexity, worst and average case analysis, design: Greedy approach, Dynamic programming, divide-and-conquer, Tree and graph traversals, connected components, spanning trees, shortest paths, hashing, sorting, searching. Asymptotic analysis (best, worst, average case) of time and space, upper and lower bounds, basic concepts of complexity classes P, NP, NP-hard, NP-complete.
Unit – III
Operating system: Processes, threads, inter-process communication, concurrency, synchronization, deadlock, CPU scheduling, Memory management and virtual memory, file systems, I/O systems, Protection and security.
Database: ER-model, relational model (relational algebra, tuple calculus), database design (integrity constraints, normal forms), query languages (SQL), file structures (sequential files, indexing, B and B+ trees), transactions and concurrency control.
Information Systems and Software Engineering: information gathering, requirement and feasibility analysis, data flow diagrams, process specifications, input/output design, process life cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
Computer Network: ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control techniques, routing algorithms, congestion control, TCP/UDP and sockets, IP (v4), application layer protocols (ICMP, DNS, SMTP, POP, ftp, http); Basic concepts of hubs, switches, gateways and routers. Network security basic concept of public key and private key cryptography, digital signature, firewalls.
Unit – IV
Set Theory & Algebra: Sets, Relations, Functions, Groups, Partial orders, Lattice, Boolean algebra.
Graph Theory: Connectivity, spanning trees, cut vertices & edges, covering, matching, independent sets, coloring, Planarity, and isomorphism.
Theory of Computation: Regular languages and finite automata, context free languages and push-down automata, recursively enumerable sets and Turing machines, undesirability.
Compiler Design: Lexical analysis, Parsing, syntax directed translation, runtime environments, intermediate and target code generation, Basic of code optimization.

Civil Engineering Syllabus

Syllabus for the admission of Ph.Dprogrammes


Structural Engineering

Mechanics: Bending moment and shear force in statically determinate beams. Simple stress and strain relationship: Stress and strain in two dimensions, principal stresses, stress transformation, Mohr’s circle. Simple bending theory, flexural and shear stresses, unsymmetrical bending, shear Centre. Thin walled pressure vessels, uniform torsion, buckling of column, combined and direct bending stresses.

Structural Analysis: Analysis of statically determinate trusses, arches, beams, cables and frames, displacements in statically determinate structures and analysis of statically indeterminate structures by force/ energy methods, analysis by displacement methods (slope deflection and moment distribution methods), influence lines for determinate and indeterminate structures. Basic concepts of matrix methods of structural analysis.

Concrete Structures: Concrete Technology- properties of concrete, basics of mix design.

Concrete design- basic working stress and limit state design concepts, analysis of ultimate load capacity and design of members subjected to flexure, shear, compression and torsion by limit state methods. Basic elements of prestressed concrete, analysis of beam sections at transfer and service loads.

Steel Structures: Analysis and design of tension and compression members, beams and beam columns, column bases. Connections- simple and eccentric, beam–column connections, plate girders and trusses. Plastic analysis of beams and frames.


Geotechnical Engineering

Soil Mechanics: Origin of soils, soil classification, three-phase system, fundamental definitions, relationship and interrelationships, permeability & seepage, effective stress principle, consolidation, compaction, shears strength.

Foundation Engineering: Sub-surface investigations- scope, drilling bore holes, sampling, penetration tests, and plate load test. Earth pressure theories, effect of water table, layered soils. Stability of slopes-infinite slopes, finite slopes. Foundation types-foundation design requirements. Shallow foundations-bearing capacity, effect of shape, water table and other factors, stress distribution, settlement analysis in sands & clays. Deep foundations pile types, dynamic & static formulae, load capacity of piles in sands & clays, negative skin friction.


Water Resources Engineering

Fluid Mechanics and Hydraulics: Properties of fluids, principle of conservation of mass, momentum, energy and corresponding equations, potential flow, applications of momentum and Bernoulli’s equation, laminar and turbulent flow, flow in pipes, pipe networks. Concept of boundary layer and its growth. Uniform flow, critical flow and gradually varied flow in channels, specific energy concept, hydraulic jump. Forces on immersed bodies, flow measurements in channels, tanks and pipes. Dimensional analysis and hydraulic modeling. Kinematics of flow, velocity triangles and specific speed of pumps and turbines.

Hydrology: Hydrologic cycle, rainfall, evaporation, infiltration, stage discharge relationships, unit hydrographs, flood estimation, reservoir capacity, reservoir and channel routing. Well hydraulics.

Irrigation: Duty, delta, estimation of evapo-transpiration. Crop water requirements. Design of: lined and unlined canals, waterways, head works, gravity dams and spillways. Design of weirson permeable foundation. Types of irrigation system, irrigation methods. Water logging and drainage, sodic soils.


Environmental Science and Engineering

Fundamentals of Ecology, Ecosystem and Environment. Air Pollution & Control, population forecasting, Catchment area, Discharge, water distribution system. Water Supply and water treatment and Waste water techniques, Sanitation systems, Noise pollution and control measures and standards, Solid waste management, rules and regulations, Environmental Impact Assessment, EIA notifications, Remote sensing and GIS, Forestry, Wildlife protection, Global and national issues of environment, resource scarcity, energy. Design of pollution management facilities. International protocols.

Ph.D Mathematics Syllabus

Course Name: Ph.D. Mathematics

Syllabus for Entrance Test of Ph.D. Programme 2019


Groups, homomorphism, Sylow theorems. Rings and fields. Vector spaces, subspaces, linear dependence, basis and dimension. Linear transformation, range space, null space, rank and nullity. Matrix representation of a linear transformation. Change of basis. Eigenvalues and eigenvectors. Inner product, orthogonality, Gram-Schmidt process, orthogonal expansion. Quadratic forms, reduction to normalform.

UNIT-II: Real Analysis

The real number system. Sequences and series. Countable and Uncountable sets. Continuity and differentiability of functions of real variable. Uniform convergence and Pointwise convergence. Measurable and Unmeasurable sets. Riemann and Lebesgue integrals. Function of Several Variable and Bounded Variation.

UNIT-III: Differential Equations

Existence and uniqueness of solutions of initial value problemsfor first order ordinary differential equations. Second order lineardifferential equations. Variation of parameters. Systems of linear differential equations. Solution by matrix method. Laplace transform methods.Applications.Sturm-Liouville problem. Green’s function. First and second order partial differential equations. Method of separation of variables for Laplace, heat and waveequations.

UNIT -IV: Complex Analysis

Algebra of complex numbers, the complex plane, polynomials, Power series, transcendental functions such as exponential, trigonometric and hyperbolic functions.Analytic functions,Cauchy-Riemann equations.Contour integral, Cauchy’s theorem, Cauchy’s integral formula, Liouville’s theorem, Maximum modulus principle, Schwarz lemma. Open mapping theorem.Taylor series, Laurent series, calculus of residues.Conformal mapping, Mobius transformations.

Ph.D Mathematics Syllabus

Research Methodology in Management July 2019


Introduction to Research Methodology : Meaning of Research, Objectives of Research, Motivations in Research, Types of Research, Research Approaches, Significance of Research, Research Methods v/s Methodology, Research and Scientific Methods, Research Process, Criteria of Good Research.


Defining the Research Problem : What is Research Problem?, Selecting the Problem, Necessity of and Techniques in defining the problem, Sample Design: Implication, Steps. Criteria for selecting a sample procedure, Characteristics of Good sampling Procedure, Types of Sample Design, Selecting Random Samples, Complex random sampling Design.


Methods of Data Collection: Collection of Primary Data, Observation Method, Interview method, Collection of Data through questionnaire and Schedules, Other methods. Collection of Secondary Data, Selection of appropriate method for data collection, Case Study Method, Guidelines for developing questionnaire, successful interviewing. Survey v/s experiment


Processing and Analysis of Data: Measures of Central Tendency, Dispersion, Correlation and Regression, Chi- square test : Applications, Steps, characteristics, limitations, Analysis of Variance and Co-varianceTesting of Hypothesis: Meaning, Basic concepts, Flow diagram, Power of a hypothesis test, important parametric tests, Hypothesis Testing of Means, hypothesis testing of Correlation coefficients, Limitations of Tests of hypothesis.


  1. Kothari CR Research Methodology, 3rd edition New age international publisher , New Delhi.


  1. Andrews, F. M. and S. B. Witey Social Indicators of will Being, Plenum Press, NY, 1976.
  2. Bemnet, Roger: Management Research, H. O. 1983.
  3. Fowler, Floyd J. Jr., Survey Methods, 2nd ed., Sage Pub., 1993.
  4. Fox, J. A. and P. E. Tracy: Randomized Response : A method of Sensitive Surveys, Sage Pub., 1986.
  5. Goswami, P. R. Statistical Information Systyem and Librries, New Delhi, Ammol Pub., 1996.
  6. Gupta, S. P. Statistical Methids, 30th ed., Sultan Chand, New Delhi, 2001.
  7. Salking, Neil J., Exploring Research, erd ed., Precentice Hall, NJ, 1997.

Ph.D Pharmacy Syllabus

School of Pharmaceutical Sciences, Bahra University July 2019

UNIT 1: Absorptiometric assay of Organic Compounds, Structural Analysis. Theory and instrumentation of the following: IR, NMR and Mass Spectrometry, Optical Rotatory Dispersion, H.P.L.C, HPTLC, GC and hyphenated techniques (LC-MS), TGA, DTA, DSC and XRD.

UNIT 2: Structure Activity relationships, mechanism of action and synthesis for following class of drugs: Antimicrobial and Antiviral agents, Antimalarial, Anticancer, Analgesics and Anti-inflammatory agents, Antidiabetics, Cardiovascular and Antifertility agents.  Basics of stereochemistry including enantiomers, diastereomers, resolution, meso compounds, configuration and its specifications including sequence rule.Reaction Mechanism and principles of Oxidation, Reduction, Aliphatic and Aromatic nucleophilic and Electrophilic substitutions, Addition, Elimination and Rearrangement reactions.

UNIT 3: Organization of screening for the pharmacological activity of new substances with emphasis on evaluation using in-vivo, in-vitro, ex-vivo, in-situ, in silico toxicity evaluation and other possible animal alternative models.  Neurohumoral transmission in CNS and ANS.  Autacoid Pharmacology.  Fundamentals involved in Physical, Chemical and Biological evaluation of crude drugs. Monograph preparation of herbal drugs and standard tests involved thereof.

UNIT 4:Preformulation (Physical, Chemical and Biopharmaceutical Characteristics of Medicinal Agent).   Stability Testing.  Diffusion and Dissolution.  Product Development Approaches for the Conventional Dosage Form (Tablet, Capsule, Sustained Release Formulation, Injectables, Ointment).  Fundamentals, Basic Concepts and Approaches involved in Newer Drug Delivery Systems.  Biopharmaceutics: Biopharmaceutical Consideration in drug product Design (Factors influencing Dosage Form Design, Drug Dissolution & Bioavailability. Rate-limiting steps in Bioavailability). Bioavailability Assessment and Bioequivalence Studies.  Pharmacokinetics: Principle, Basic concept and Characteristics of Compartment Models. Nonlinear (Dose dependent) Pharmacokinetics.