moodle@CUSAT

M. Sc. Chemistry, Semester II

CHE 2204 Organic Chemistry-III

(Reagents and Synthesis)

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Cloud physics is the study of the physical processes that lead to the formation, growth and precipitation of atmospheric clouds. These aerosols are found in the troposphere, stratosphere, and mesosphere, which collectively make up the greatest part of the homosphere. Clouds consist of microscopic droplets of liquid water (warm clouds), tiny crystals of ice (cold clouds), or both (mixed phase clouds). Cloud droplets initially form by the condensation of water vapor onto condensation nuclei when the supersaturation of air exceeds a critical value according to Köhler theory. Cloud condensation nuclei are necessary for cloud droplets formation because of the Kelvin effect, which describes the change in saturation vapor pressure due to a curved surface. At small radii, the amount of supersaturation needed for condensation to occur is so large, that it does not happen naturally.

Atmospheric electricity refers to electricity that exists in the atmosphere as a result of natural phenomenon. The primary natural source of atmospheric electricity is thunderstorm activity, with lightning being the most spectacular and obvious manifestation of this electricity. However, there are other aspects of atmospheric electricity that cannot be seen visibly, but are helping scientist understand changes in the earth's climate.

After completing the course the student will be able to

• Able to identify different types of clouds 
• Formation of cloud droplets and clouds 
• Understand the theory of Droplet Growth 
• Understand the formation and growth of Ice crystals 
• Understand the precipitation process 
• Acquire the knowledge of Severe storm and Hail formation
• Understand weather modifications 
•  Acquire the knowledge of thunderstorm formation and lightening  
• Understand about the atmospheric electricity
• Acquire the knowledge about the precautions during the thunder and lightning.

This course is aimed to achieve following objectives....

• Describe different types of weather systems

• Analyze characteristic features of dominant weather systems over Indian region

• Interpret and classify different scale of the weather features and forecasting strategies

• Assess challenges and limitations of various forecast process

• Predict weather systems at different space-time domains using synoptic and NWP methods

• Devise and develop forecast process

• Create real time forecast

El Niño and La Niña are opposite phases of what is known as the El Niño-Southern Oscillation (ENSO) cycle. The ENSO cycle is a scientific term that describes the fluctuations in temperature between the ocean and atmosphere in the east-central Equatorial Pacific (approximately between the International Date Line and 120 degrees West).

La Niña is sometimes referred to as the cold phase of ENSO and El Niño as the warm phase of ENSO. These deviations from normal surface temperatures can have large-scale impacts not only on ocean processes, but also on global weather and climate.

El Niño and La Niña episodes typically last nine to 12 months, but some prolonged events may last for years. While their frequency can be quite irregular, El Niño and La Niña events occur on average every two to seven years. Typically, El Niño occurs more frequently than La Niña.

This course is about the well-known population-based optimization techniques developed during last three decades. This course emphasizing on the advanced optimization techniques to solve large-scale problems especially with nonlinear objective functions

An introductory course to make Cyber space  safe from threats and malicious use of Information and Communication Technologies.

PD course combined 2019

Project Guide: Mithun Haridas T P

Project Guide: Mithun Haridas T P

This course deals with analysis and modelling of continuous time and discrete time control systems

Course Objectives:

• To understand the basic need for block diagram and signal flow graph representation
• To have an idea about the concept of stability and various techniques for stability analysis
• To introduce the concept of state space modelling of systems

Course Description

This course deals with

• concepts of probability and statistics
• a mathematical background for communication signal analysis
• advanced concepts of digital communication

Objectives

• To understand and analyze the signal flow in a digital communication system.
• To analyze error performance of a digital communication system in presence of noise and other interferences especially AWGN.
• To understand the importance of the concept of orthogonality in Digital Communication.
• To understand Nyquist’s sampling theorem and its practical implications.
• To learn Intersymbol interference (ISI) and design Nyquist filter for avoiding ISI and practical improvisation of ideal Nyquist filter

This course deals with

1. Elementary Signals & Classification, Systems & Properties
2. Fourier Analysis - Continuous & Discrete
3. Signal Analysis - norm, inner product, orthogonal signal space, power spectral density, energy spectral density
4. Laplace transform & z-transform

ELE 2103 DIGITAL SYSTEM DESIGN

Course Description:

This course gives an overview of the design of digital systems. It introduces the basics of combinational and sequential circuits. It provides the concept of state machines and gives an idea of how to model real time scenarios and applications. The course also gives an idea of how to realize the digital system using hardware description language and also provides an overview of programmable logic devices.

Course Objectives:

• ·         To understand the designing of digital systems
• ·         To get an idea about state machines and modeling of systems
• ·         To have an overview of EDA tools
• ·         To understand the realization of digital systems using VHDL

MTech second semester Seminar