Courses

Diploma In Geoinformatics

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ALL
Instructor
admin
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Course Description

Geographic Information Systems & Global Positioning System

Introduction to Geoinformatics,Introduction to GIS:Overview, History and Concepts of GIS,Purpose and Benefits of GIS,Applications of GIS,Data Models in GIS,

Raster Data Structure,Vector Data Structur,Data Structures in GIS:Data Compression Techniques,Geographic Data Acquisition,Analogue to digital conversion,Map Projections,

Geoid/Datum/Ellipsoid,Coordinate systems:Scale factor,Distortion on map projections,Classification of map projections,Polyconic, LCC, Mercator, UTM projections,

Map projections transformation,Geographic Data Quality & Structure:Data Quality,Data Uncertainty of Geo-spatial Data,Functional Elements of GIS,Digital Cartography:

Categories of maps,Cartographic design,Colour and pattern,Map lettering, Generalization, Symbolisation,OSGeo Introduction,Open Source GIS,QGIS Installation, Overview of QGIS interface,

Plugins,Google layer plugin,Database creation,Using QGIS plugin in QGIS,Global Positioning System:Introduction to surveying,Introduction to GPS,History of GPS,Segments of GPS,Operating Principle,Surveying with GPS,Methods of observations,Differential GPS,

Kinematics GPS,Application of GPS,GPS in INDIA,Research Areas and Future developments in GPS,Global GPS programmes and India’s Contribution,Adjustments and Errors,

GIS and GPS: Present status and future scenario

 

Remote Sensing

Introduction to Remote Sensing,Overview and concept of remote sensing,In-situ Vs. Remote sensing methods,Advantages and limitations,History of Components of a Remote Sensing System,Scope and application areas,Energy sources & radiation principles,Electromagnetic radiation,Energy interactions in atmosphere,Energy interactions with earth surface features,Spectral response patterns of common earth surface features,Atmospheric influence on spectral response,Remote sensing data acquisition & platforms,Data acquisition and Platforms,Satellites and satellite orbits,Data acquisition & interpretation,Image vs. Photograph,Energy recording technology,Across track and along track scanning,Image resolutions,Colour fundamentals & false color composites,Image Interpretation,Elements & techniques of image interpretation,Visual interpretation,Satellites and sensors,Major earth observation satellite programmes,Current Satellites & sensors,Multispectral Remote Sensing,Thermal Remote Sensing,Advanced Remote Sensing,Hyperspectral remote sensing,Introduction,Multispectral Vs hyperspectral remote sensing,Hyperspectral sensor system,Scope and application areas,Fuzzy Analysis,Hyperspectral  Image Classification using SVM,Microwave remote sensing,Introduction,Radar System and Microwave,Components of Active Microwave Remote Sensing,SAR and SLR,Geometric and other Characteristics of Side Looking Radar Imagery,Response of common earth surface features,Radar image interpretation,Passive microwave remote sensing,Scope and Applications,

 

Digital Image Processing

Introduction to Digital Image processing,Digital image fundamentals,Image processing fundamentals,Image processing system considerations,Scope & application areas,Image Statistics,Univariate and multivariate statistics,Image histogram and its significance,Digital data acquisition,remote sensing data acquisition,Acquisition of Digital Images,Direct Digital Recording,Scanning of Analog Images,Remote sensing data products and formats,Remote sensing data products,Image formats:

BIP, BIL and BSQ,Levels of data correction,Image rectification & restoration,Geometric correction,Radiometric correction,Noise removal,Image enhancement,Contrast manipulation,Gray level thresholding,Level slicing,Contrast stretching,Spatial feature manipulation,Spatial filtering,Convolution,Edge enhancement,Linear edge enhancement,Nonlinear edge enhancement,Multi image manipulation (/image transformation),Spectral ratioing,Vegetation indices,Principal component analysis,Application of principal component analysis,Introduction to image data fusion,Image fusion techniques,HIS,Image classification,Introduction,Unsupervised classification,Clustering (k-means),ISODATA algorithm,Supervised Classification,Classification stage,Supervised classification algorithms,Minimum distance classification,Parallelepiped classifier,Maximum likelihood classifier,Other approaches,Mahalanobis classifier,Table look up classification,Comparison of supervised & unsupervised classification methods,Field data,Introduction,Kinds of field data,Sampling scheme and sample size,Post classification steps,Recoding,Post classification filtering Assessment of classification accuracy,Area statistics calculation,Advanced DIP,Change Detection,What is Change Detection,Consideration Of Remote Sensing Systems for Change Detection Analyses,Environmental Characteristics Consideration For Change Detection Analyses,Types of Change Detection Algorithms

 

Geospatial Programming (IT Domain)

C programming

C basics,C character set, Identifiers and keywords, Data types, constants, variables and C constructs: If statement, if….else statement,if…..else if….else statement, while statement,do….while statement, for statement, switch statement, nested control statement, break operator, continue operator, Comma operator, Goto statement,basic Commands to write, compile & execute programs,Programs to implement Pointers, array of pointers,Programs to implement arrays using pointers,arrays, declarations, expressions statements, symbolic constants, compound statements,arithmetic operators, unary operators, relational and logical operators, assignment operators,conditional operators, bit operators,Pointers,Arrays,array & pointer relationship, pointer arithmetic, dynamic memory,allocation, pointer to arrays, array of pointers, pointers to functions, array of pointers to functions, Preprocessor directives: #include, #define, macro’s with argumentsfile handling [text , binary]

DBMS

Introduction to DBMS ,Types of DBMS:Introduction to Hierarchical Model, Network and Relational Models, Object Oriented Database,Data models (conceptual physical and logical),DDL Commands,Data Integrity & integrity rules,DML Commands: Select/Insert/Update/Delete,DCL Commands: Rollback, Commit, savepoint,Number Functions: -Single Value Functions: NVL,ABS,CEIL etc, Group Value Functions: AVG,COUNT,MAX etc,Grouping Things Together (Group By, Having Clause) ,Joining,Introduction to PL/SQL,Exceptions,Cursors,Procedures ,Functions,Triggers ,Packages,Indexes, Clusters, Snapshots, Creating Database,Users, Roles  & Privileges, Import & Export

Core Java

JVM Architecture,Setting a ClassPath,Simple Program in Java (Compile & Run),Data Types & Identifiers,Operators,Conditional Statements,Array & Looping (Mix concepts),Classes & Objects,Access Modifiers (Private, Public, Protected, Default)

Inheritance (IS A, HAS A),Polymorphism (Overloading & Overriding) (Super & This Keyword),Packages & Imports,Visibility of Access Modifiers,Final with Variable, Classes & Methods,Static,Abstract & Interface,Passing an object in Argument,Inner Classes & Wrapper Class,Collections,Exception Handling,Threading,I/O Classes,Applet,JDBC overview through ODBC,

Advanced Java & JSP

Web Architecture,RMI,Servlets,JSP,Session Management,HTML, XML, JavaScript,Architecture of the Web,HTML programming,DHTML,CSS,JavaScript,The Purpose and Nature of XML,XML Syntax and Structure rules,XML Document Type Declaration,XML and Data Binding,XML linking mechanisms,XML style language

 

Geospatial Programming (GIS Domain)

Python – Introduction,What is Python?,Python Installation – Windows,Introducing Dictionaries ,Defining Dictionaries,Modifying Dictionaries ,Deleting Items From Dictionaries ,Introducing Lists ,Defining Lists Adding Elements to Lists ,Searching Lists ,Deleting List Elements ,Using List Operators ,Introducing Tuples ,Declaring variables ,Referencing Variables ,Assigning Multiple Values at Once ,Formatting Strings ,Exceptions and File Handling,

Google Map API

Introduction to Google map API,Mapping Fundamentals,Creating first map Application,Use of Marker icons and Info Windows             Geocoding ,Google API and KML

PostGIS

Introduction to PostGIS,Spatial Objects for Postgre SQL,Simple spatial SQL,Viewing data in PostGIS,Creating spatial Indexes,Spatial analysis in SQL ,Distance Queries, Spatial Joins

DesktopGIS Customisation

Q-GIS

Introduction to the QT and QGIS Classes,Customization of Quantum GIS using Python,How to create a python plugin for QGIS,The python syntax (indentation, colon, …),My first python plugin: display a message box,The main QGIS API classes and their relations,Constants and settings: QGis and QgsApplication classes,Plugin interface: Q-GIS Interface and common methods used in plugins

Arc-GIS

Introduction to Arcpy and Python window,Working with Map Layers,Create a search cursor using list of string fields in python,Create a search cursor using an SQL expression in python,Geo Server,An Introduction to Geoserver,Anatomy of a Geoserver Application, Styling,Feature Map Layer, Geoserver User Interface,Non-Spatial Query ,Web Mapping, Web Services and GIS ,Different Kinds of Web Mapping,Working with Geoserver, Building Geoserver, Developing applications using Geoserver

Creating Mapping Application Using HTML, Java Script and Geoserver,Connecting Geoserver with spatial database,Fetching and displaying layers on QGIS from Geoserver

 

Geostatistics with R and Spatial Analysis

Introduction to R Syntax,Introduction & Installation of R, R Basics,Finding Help, Code Editors for R,Command Packages,Manipulating and Processing Data in R,Reading and Getting Data into R,Exporting Data from R,Data Objects-Data Types & Data Structure.Viewing Named Objects,Structure of Data Items, Manipulating and Processing Data in R (Creating, Accessing, Sorting data frames, Extracting, Combining, Merging, reshaping data frames),Descriptive statistics

and sampling Techniques,Central Tendency, Median, Mode, Standard deviation, variance,Handling Spatial Data in R,Frequency distribution, Covariance and Correlation,Regression:  Linear & Multivariate,Covariance & Correlation in multivariate data, data transformations (logarithmic, indicator, Normal-score, rank-order),Geographically Weighted Regression (GWR),Introduction to Graphical Analysis,Using Plots(Box Plots, Scatter plot, Pie Charts, Bar charts, Line chart) ,Plotting variables, Designing Special Plots, Simple Liner Regression, Multiple Regression,Probability,Basic concepts of Probability,Random Variable, Discrete Variable and Continuous Variable,Probability Distribution of Discrete Random variable (Binomial, Poison),Probability Distribution of Continuous Variable (Normal),Basic Components of Geo-Statistics,(Spatial Continuity-Variogram Modeling),Spatial estimation (Interpolation Techniques) Nongeostatistical (Deterministic) Estimation,Global Estimation,Local Estimation,Geo-statistical (Probabilistic) Estimation,Optimality criteria,Simple Kriging,Prediction Intervals, Universal Kriging,Examples of Kriging using R,Mapping & Geo-Visualization With R

 

Effective Communication

  • Official & General Conversation
  • Official Letter Writing
  • Official Emailing
  • Essay Writing
  • Event Reporting
  • Formal Speaking (Telephone, Face-to-Face, Public Speaking)
  • Oral & Digital Presentation Skills
  • Listening Skills
  • Cross-Cultural Communication
  • Technology-enabled Communication
  • Confidence Building
  • Formal Etiquettes
  • Body Language
  • Developing Positive Attitude
  • Personal Goal Setting & Career Planning, Job Search Process
  • Resumes & Applications / Cover Letters
  • Handling Interviews
  • Group Discussions
  • Audio Synthesis
  • Mock Interviews

 

Aptitude & General English

Project

About Instructor

  • admin

    Teaching is a very noble profession that shapes the character, caliber, and future of an individual. If people remember me as a good teacher, that will be the biggest honour for me.

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