Cosmic Insights: Data-Driven Astronomy and AI Mastery with Internship

Course Details

Cosmic Insights: Data-Driven Astronomy and AI Mastery with Internship

Data Science

Created by

Vishnu Vasudev

Last Update

September 26, 2023

Created On

September 21, 2023

Description

**Astronomy and Astrophysics**meld observation and theoretical inquiry to explore the cosmos. **Astronomy involves**precise observation and analysis of celestial objects, from stars and planets to galaxies and cosmic events. It seeks to understand the universe's layout, motions, and appearances. **Astrophysics delves** further, probing the underlying physics governing these celestial entities. It uncovers the physics of stars, galaxies, and cosmic phenomena, unraveling the universe's fundamental secrets. In unison, they bridge the gap between observation and theoretical understanding, shedding light on the vast mysteries of the cosmos.

Overview

Join our transformative program, 'Cosmic Insights: Data-Driven Astronomy and AI Mastery with Internship,' where you'll embark on a journey of profound discovery at the intersection of astronomy, artificial intelligence, and hands-on experience. This comprehensive course combines an in-depth understanding of celestial mysteries with the power of data-driven analysis and practical application. **Following the coursework, you'll undertake a 2-month internship, putting your skills to work in real-world scenarios. By the course and internship's end, you'll emerge as a proficient data scientist and researcher, poised to unlock the universe's enigmas with code and insight**.

Features

Comprehensive Curriculum

Hands-on Internship

Stellar Faculty

Project-Based Learning

Science Communication

Networking

Instructor Led Live Classes

2- Months Menter Lead Internship Program

Doubt clearing live classes

Doubt clearing through mail and support team

Assignment & Quiz in all the modules

End-to-End Projects

Career Guidance

Resume Building

Regular Assessments

Internship Portal Access

Course completion certificate

What you'll learn

Astronomy Fundamentals

Python Mastery

Image Processing

Machine Learning and Deep Learning

Project-Based Expertise

Data Analysis

Science Communication

Internship Experience

Career Readiness

Prerequisites

Curriculum

25 modules

0. About Course

1. Introduction to Image Processing (Theory)

Duration • 1 hour

Binary image

grayscale image,

RGB image,

Computer Vision,

Phases of DIP,

Astronomical images,

Common image file format

2. Introduction to Astronomy at Large (Theory and Hands-on)

Duration • 1 hour

Details from stars,

Observational Astronomy,

Radio Astronomy, Infrared Astronomy,

Optical Astronomy,

High Energy Astronomy,

Astronomical Data,

FITS data,

Google collab

3. Basics of python, Data Types (Hands-on)

Duration • 1 hour

Basic Data types, Operators, List, Python Iterables, Dictionary

4. Advanced Python (Functions and Loops) (Hands-on)

Duration • 1 hour

Functions,

Conditionals,

Loops

5. Numpy (Hands-on)

Duration • 1 hour

Introduction and application of Numpy in scenarios.

6. Matplotlib and Image Processing with OpenCv (Hands-on)

Duration • 1 hour

Plotting diagram: line plot, Multiple plot in same canvas, Introduction to OpenCv, Application of OpenCv

7. OOPs in Python (Hands-on)

Duration • 1 hour

Procedure oriented programming,

4 pillars of OOPs,

Instance of class,

special methods,

8. Introduction to Image Processing (Hands-on)

Duration • 1 hour

Cv2 in image processing,

Read image,

Alpha channel

9. Image Convolution & Gaussian Denoising (Hands-on)

Duration • 1 hour

Convolutional operation, strides, padding, denoising, image sharpening, median filter

10. Block Matching and 3D Filtering (Hands-on)

Duration • 1 hour

BM3D,

Edge filters,

Robert's operator,

Sobel operator,

ridge filters

11. Fourier Transforms in Image Processing (Hands-on)

Duration • 1 hour

Discrete Fourier transform step by step operations.

12. Pixel Scaling and Normalization (Hands-on)

Duration • 1 hour

Linear scaling,

Z scaling,

Log normalisation

13. Feature Detection and Extraction (Hands-on)

Duration • 1 hour

Canny algorithm,

Multi scale basic features,

Histogram of oriented gradients,

Astropy

14. Astronomical data analysis (FITS Intro) (Hands-on)

Duration • 1 hour

FITS reading,

Overview and data analysis,

Path directories

15. Astronomical data analysis on NGC3184 (Hands-on)

Duration • 1 hour

NGC3184 galaxy’s FITS file,

Plotting and analysis,

How to access FITS files from archives

16. Searching for Black Hole (Hands-on)

Duration • 2 hours

Astroquery, How to make your own FITS file, Astropy visualisation modules, Black hole

17. Intro to Machine Learning (Theory)

Duration • 1 hour

Supervised,

Unsupervised and reinforced learning,

Optimisation,

Cost function

18. Intro to Machine Learning (Hands-on)

Duration • 1 hour

Linear regression, Least square method, R2 score, Gradient descent

19. Star Type detection using Machine Learning - Project (Hands-on)

Duration • 1 hour

HR diagram, Treating data frame, Training model

20. Intro to Deep Learning - Neural Networks (Theory)

Duration • 1 hour

Deep learning,

Artificial neurons,

Neural network,

Activation function,

ReLu,

SoftMax,

21. Intro to Convolutional NN (Theory)

Duration • 1 hour

Convolutional Neural Network,

Architecture,

Convolutional operation,

Strides, padding,

Pooling, fully connected,

Forward propagation,

ANN learn, back propagation.

22. Implementation of NN (Hands-on)

Duration • 1 hour

Building neural network from scratch,

Preparing data, weight & bias,

Defining nodes, sigmoid activation,

Forward & backward propagation,

Learning rate, training iteration,

Cost function

23. Building Final Project - Galaxy Zoo (Hands-on)

Duration • 2 hours

Data set description, Read csv file, Training and testing, Visualise random images, Preprocessing images, Make the model, Fit the model, Implement on test data, Culmination

Internship

Duration • 40 hours

Menter Lead internship

Instructors

Vishnu Vasudev

Vishnu Vasudev embodies a fascinating journey - an M.Tech. in Electronics and a UGCNET scholar who evolved from a project engineer and dedicated assistant professor to become a Research Fellow in Astrophysics at the prestigious College of Engineering, Chengannur. Beyond academia, he's a celebrated YouTuber, author of two enlightening books on Astrophysics, and a distinguished Abdul Kalam Doctoral Fellow. His multifaceted expertise and passion illuminate both the scientific and educational realms.

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Course Details