Modern Instrumental Methods of Analysis

This course is designed to familiarize the students with various instrumental methods of chemical analysis that scientists and engineers come across during their course work and research undertakings. The participants are introduced to the principles of chemical analysis, matrix effects, detailed instrumentation, operation and interpretation of data, error analysis and statistical methods of data handling.

NOC:Atomic and Molecular Absorption Spec..

Introduction to Molecular Absorption Spectroscopy, Theoretical Principals of Absorptions Chromo photometric Contributions, Instrumentation, Optical benchmarking ,Practice of Spectrophotometry, Derivative Spectroscopy, Applications of Absorption Spectrometry to Real Systems, Ambient Air Monitoring, Industrial Effluents,Metal Ions,Continuous Monitoring and Bio Chemical Analysis.

NOC:Inductive Couple Plasma Atomic Emmis..

The course material consists of Introduction to pollution control monitoring, Atomic structure, Introduction to Atomic emission Spectroscopy, Interaction of electromagnetic radiation with matter, Instrumentation for inductively coupled plasma atomic emission spectrometry, Applications of ICP  AES for metal ion analysis, Industrial Effluents, Continuous Monitoring etc.

NOC Infrared spectroscopy for pollution ..

Infra Red Spectroscopy is the most preferred technique for synthesis and monitoring almost all organic compounds. The course consists of : Introduction to pollution control monitoring, Atomic structure, Introduction to Infra Red Spectroscopy,Interaction of electromagnetic radiation with matter, Instrumentation for Infra Red Spectroscopy, Applications ofInfra Red Spectroscopy for air pollution, organic compounds in the Industrial Eluents,Continuous Monitoring etc.

NOC Trace and ultra trace analysis of me..

In this course, we will introduce techniques to analyze dynamics of evolving microbial populations. The topics we will look to cover are as follows. 1.Introduction to Evolution and population dynamics; 2.Fitness Landscape and Sequence Spaces; 3.Evolutionary Game Theory (fitness dependent on frequency); 4.Origin of Cooperation (genes to genomes; single-cell to multicellular organisms); 5.Deterministic and Stochastic Description of Finite Populations; 6.Evolutionary Graph Theory; 7.Modeling Infinite Populations.