Highlights of the Course
Algorithmic Design & Complexity,
Premitive and Non-Premitive Structures, Arrays, Stacks, List, Graph, Trees Sets etc.
Advanced Search algorithms
Algorithmic Analysis
Highlights of the Course
Master GIS concepts
Core Spatial Analytics using GIS
2D and 3D Visualizations
Spatio-Temporal Analysis
Virtual Reality with GIS
Highlights of the Course
Complete learning path from core to advaced topics
Handling simple to complex data types
Data organisation & Statistical Analysis
Visual Analytics
Advanced pakages
Highlights of the Course
Fundamentals of AI, AI Agents,
Classical and Adversial Search, Logical Agents and propositional Logic, Inferencing system, Planning and Knowledge representation. Towards Machine Learning.
Highlights of the Course
Graphics Principles, 2D & 3D Graphics, Perspective projections, Raycasting, Shadows and Rendering effects, Color theory and applications, Image Processing concepts, Spatial and Frequency domain operations, Morphology etc
Highlights of the Course
Mobile Platforms, App Design principles, Ubiquitous Communications, Android Plaltform, Java and Kotlin based apps, Databases & Network communications, Sensors Networks, GUI Programming, Spatial Computing, Augmented Reality implementations
This section contains compilation of resources for learning Python Proramming. Python has been rapidly growing and one of the most popular programming language of current time. Read, learn and succeed.
1. Introduction of Python Programming: Durham University
2. NLP in Python Tutorial : The mighty Unknown
3. Python Interview Questions 1: CareerGuru
4. How to Think Like a Computer Scientist: Learning with Python 3 Documentation : Peter Wentworth
5. Practice Questions-Part-1
6 Practice Question -Part-2.
7. Practice Question -Part-3.
8. Practice Question-Part-4
8. Python Cheat sheet
One of the recent disruptive technologies is Bockchain which can be used to set up the transparent, trustless, publicly accessible ledger that allows us to securely transfer the ownership of units of value using public key encryption and proof of work methods.
1. Blockchain for Social Impact: Stanford Graduate School of Business - Center of Social Innovation
One of the most sought after career field is Data Science. It isa multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Access Learning Resouces here.
1. Genetic Algorithm and Its Applications: Analytics Vidya
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Access ML resources here.
1. Deploying Machine Learning Models in Practice: Nick Pentreath
2. Machine Learning Cheat Sheet:
3. AI and ML for Business Applications Q/A-Part-1
4. AI and ML for Business Applications Q/A-Part-2
Site under update process!. Get back after some time for resources on Security and Cyber forensics.
Miscellaneous Resources: Practical/Demo
Android Practice Test 1
Android Practice Test 2
Android Practice Test 3
Android Practice Test 4
Image Processing
Remote Sensing & GIS Technology and Applications
T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 FinalTest1 FinalTest2