Recommended Textbooks

Computer Science

Textbooks

• Andrew S. Tannenbaum, Todd Austin
  Structured Computer Organization, 4th ed.
  Pearson 2013
  ISBN 978-0-27376924-8

Structured Computer Organization provides a good introduction to computer hardware and architecture. Although it is not needed for this course, it can serve as a useful resource for all students who want to get an introduction and overview to the architecture of computers.

Python

Introductory Texts

• A list of recommended books will be available soon.

Image Processing

Textbooks

• Rafel C. Gonzales, Richard E. Woods
  Digital Image Processing, 4th ed.
  Pearson Education, 2017
  ISBN: 978-0133356724

Digital Image Processing  by Gonzales and Woods is one of the leading textbooks in the field of digital image processing and gives a good introduction to basic concepts and methodologies. It covers all impotant areas of image processing (e.g. intensity transformations, spatial filtering, image processing in the frequency domain, image restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, fundamentals of object recognition). Examples presented in the book, however, do not focus on microscopic images like our course, but show a broad scope of applications.

• Rafel C. Gonzales, Richard E. Woods
  Digital Image Processing Using MATLAB, 3rd ed.
  Pearson Education, 2020
  ISBN: 978-0133356724

Whereas the Digital Image Processing book presented above emphasizes the mathematical principles, Digital Image Processing Using MATLAB focuses less on mathematics, but more on algorithms and their software implementation.

Mathematics & Physics

Textbooks

• Gilbert Strang:
  Introduction to Linear Algebra
  Wellesley-Cambridge Press, Wellesley 2016
  ISBN-978-0-9802327-7-6
  
  
• Gilbert Strang:
  Computational Science and Engineering
  Wellesley-Cambridge Press, Wellesley 2007
  ISBN 978-0-9614088-1-7

These books of Gilbert Strang give a good introduction into the framework of mathematical methods used in the course. Topics include applied linear algebra and fast solvers, differential equations, Fourier analysis and optimization.

• Daniel Fleisch, Laura Kinnaman:
  A Student's Guide to Waves
  Cambridge University Press, Cambridge 2015.
  ISBN 978-1-107643260

This book helps to understand the fundamental concepts of waves and the mathematics of wave equations. It is a good supplematal text which helps to understand the important principles.