Physics 568: LARGE SCALE DATA ANALYSIS IN PHYSICS & ASTRONOMY, SPRING 2022

 


Instructor:

 

Prof. Alexandre V. Morozov
Office: Serin E266
E-mail: morozov AT physics.rutgers.edu
Phone:  (848) 445-1387

Office hour:  by request   




Lectures:
Monday and Thursday, 10.20 - 11.40 am, ARC-203


Textbooks:  
Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop.
Information Theory, Inference and Learning Algorithms by David J. C. MacKay.


Reviews:  
Introduction to Machine Learning for physicists by Pankaj Mehta et al.  


Prerequisites:  Basic knowledge of linear algebra and probability theory.


Homework and Exam: One homework per 2-3 weeks. There will be a final take-home project (72 hours, open book, open notes).


The grade is determined according to the following formula: total score = 1/2(homework) + 1/2(final)







Lecture Notes:

Lecture 1 (01/20)   pdf   online (Zoom link sent by email)

Lecture 2 (01/24)   pdf   online (Zoom link sent by email)

Lecture 3 (01/27)   pdf   online (Zoom link sent by email)



Homework:






Students with Disabilities


Please send any comments about this page to morozov at physics.rutgers.edu

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