Subjects Offered

Integrated M. Sc.  Ph. D. Program – Applied  Physics

SEMESTER – I

  • Classical Mechanics PH6101
  • Mathematical Physics PH6103
  • Quantum Mechanics-I PH6105
  • Electronics for Scientists PH6107
  • Physics Laboratory-I : Electronics PH6191
  • Physics Laboratory-II : Modern Physics PH6193

SEMESTER – II

  • Quantum Mechanics-II PH6202
  • Statistical Mechanics PH6204
  • Electrodynamics PH6206
  • Condensed Matter Physics PH6208
  • Physics Laboratory-III : Modern Optics PH6292
  • Physics Laboratory-IV: Condensed Matter Physics PH6294

Summer Internship

  • Academic/Industrial Summer Internship

SEMESTER – III

  • Atomic & Molecular Physics
  • Nuclear and Particle Physics
  • Computational Methods
  • Elective-I
  • Physics Laboratory-V : Spectroscopy and Advanced Physics
  • Project-I

SEMESTER – IV

  • Elective-II
  • Elective-III
  • Open Elective
  • Project-II

Elective-I

  • Vacuum Technology
  • Thin film Technology
  • Experimental Techniques for Condensed Matter Research
  • Nuclear Techniques for Condensed Matter

Elective-II

  • Magnetic and Optical Materials
  • Semiconductor Technology
  • Nanoscience and Technology
  • Soft Materials and Biophysics

Elective-III

  • Nonlinear Optics
  • General Relativity and Cosmology
  • Quantum Optics
  • Plasma Physics
  • Nonlinear Oscillations and Waves

Integrated M. Sc.  Ph. D. Program -Applied  Chemistry

SEMESTER – I

  • Inorganic Chemistry 1 CH6101
  • Organic Chemistry 1 CH6211
  • Physical Chemistry 1 CH6321
  • Analytical Chemistry I CH6431
  • Physical and Analytical Chemistry Lab-I CH6391
  • Organic Chemistry Lab-I CH6291
  • Inorganic Chemistry Lab-I CH6191

Semester II

  • Inorganic Chemistry II CH6202
  • Organic Chemistry II CH6212
  • Physical Chemistry II CH6322
  • Analytical Chemistry II CH6432
  • Physical and Analytical Chemistry Lab-II CH 6392
  • Organic Chemistry Lab-II CH6292
  • Inorganic Chemistry Lab-I ICH6192
  • Industry/ academic internship

Semester III

  • Core Paper I
  • Core Paper II
  • Elective I
  • Elective II
  • Research Project I

Semester IV

  • Core Paper III
  • Elective III
  • Open Elective I
  • Research Project II
  • Total
  • Grand Total

Integrated M. Sc. Ph.D in  Mathematics & Data Science

SEMESTER-I

  • Analysis
  • Algebra
  • Programming and Data Structures
  • Differential Equations
  • Numerical Analysis
  • Programming and Numerical Analysis Lab with MATLAB

SEMESTER-II

  • Topology
  • Optimization Technology
  • Numerical Linear Algebra
  • Statistical Inference
  • Discrete Mathematics
  • Statistical Lab with R

SEMESTER-III

  • Functional Analysis
  • Data Analytics-I
  • Design and Analysis of Algorithms
  • Open Elective
  • Elective-I
  • Data Analytics Lab with Statistical Software

SEMESTER-IV

  • Machine Learning
  • Stochastic Processes with Financial Applications
  • Data Analytics-II
  • Elective-II
  • Project
  • Seminar + Viva

SEMESTER-V**

  • Fuzzy Logic and Applications
  • Functional Analysis and Optimization
  • Advanced Numerical Methods
  • Multi Criteria Decision Making and Decision Analysis
  • Computational Fluid Dynamics
  • Complex Analysis
  • Differential Equations
  • Research Methodology

**        Each Ph. D candidate will choose minimum three courses including research  methodology

SEMESTER-VI Literature survey Registration seminar

ELECTIVE-I

  • Advanced Complex Analysis
  • Number Theory & Cryptography
  • Fuzzy Sets and Applications
  • Advance Programming and Data Structures

ELECTIVE-II

  • Numerical Solutions of ODE and PDE
  • Multi-objective Programming
  • Artificial Intelligence
  • Data Base Management Systems
  • Image Processing and Pattern Recognition
Applied Science KIIT Coursess

Ph.D Course work

PHYSICS

  • Applied Solid State Physics
  • Experimental Techniques in condensed matter Physics
  • Semiconductor Technology
  • Nanoscience & Nanotechnology
  • Nuclear and particle Physics
  • Simulation & Computational Physics
  • Physics of Biological Macromolecules

CHEMISTRY

  • Synthetic Methods in Organic Chemistry
  • Environmental Chemistry
  • Material Sciences
  • Electrochemical Thermodynamics & kinetics
  • Storage Cell
  • Analytical & Spectroscopic Techniques

MATHEMATICS

  • Fuzzy Logic and Applications
  • Functional Analysis and Optimization
  • Advanced Numerical Methods
  • Multi Criteria Decision-Making and Decision Analysis
  • Computational Fluid Dynamics
  • Complex Analysis
  • Differential Equations

B.TECH

  • PHYSICS in Semester II (School of Civil, Electrical, Computer Sciences)
  • PHYSICS LAB in Semester I (Mechanical, Electronics)
  • CHEMISTRY in Semester I (Civil, Electrical, Computer Sciences)
  • CHEMISTRY LAB in Semester II (Mechanical, Electronics)
  • EVS in Semester II (Civil, Electrical, Computer Sciences)
  • EVS in Semester I (Mechanical, Electronics)

B.TECH  & M. TECH

  • MATHEMATICS-I in Semester I & II (Civil, Mechanical, Electrical, Electronics Computer Sciences)
  • MATHEMATICS-II in Semester I & II (Civil, Mechanical, Electrical, Electronics Computer Sciences)
  • MATHEMATICS-III in Semester III (Civil, Mechanical, Electrical, Electronics Computer Sciences)
  • DM
  • Mathematics-IV
  • Numerical Methods
  • Advanced Math-I
  • Advanced Mathematics
  • NMCE
  • QMCM

Open Elective subjects for 6th semester B.Tech. Programme

  • Quantum Mechanics for Engineers
  • Renewable Energy Sources
  • Advanced Numerical Techniques

Open Elective subjects for 7th semester B.Tech. Programme

  • Solid Waste Management
  • Applied Superconductivity
  • Open Science, Innovation and Sustainability
  • Energy Storage Technology and Management