Useful Non-Physics Courses

General useful UIUC courses:

CS 446 -- Machine Learning

CS 512 -- Data Mining

CS 598 -- Machine Learning for Signal Processing (topics course)

CSE 402 -- Introduction to Parallel Programming

ECE 455 -- Optical Electronics.

ECE 464 -- Power Electronics.

ECE 598 -- Computational learning and inference (topics course).

EOL 585 -- College Teaching.

EPSY 590 IPP -- Issues in Professional Preparation.

Math 418 -- Introduction to Abstract Algebra.

Math 518/519 -- Differentiable Manifolds 1 and 2.

Math 542 -- Complex Analysis.

MSE 583 -- Dynamics of Complex Fluids.

STAT 100 -- Introduction to Statistics.

STAT 425 -- Applied Regression and Design

STAT 440 -- Statistical Data Management

STAT 448 -- Advanced Data Analysis

STAT 542 -- Statistical Learning. Theory and proof of popular machine learning algorithms, with practical implementation homework. Has a useful end-of-semester project.

Useful UIUC courses for biophysics students:

MCB 424 -- Microbial Biochemistry

Useful UIUC courses for students interested in data science:

INFO 490 -- Introduction to Data Science

Useful UIUC courses for students who need numerical methods:

CS 101 – Intro Computing: Engrg & Sci (tools course, scientific computing, C, Matlab, Unix/Linux)

CS 357 – Numerical Methods I (theoretical, Python, Mathematica, Matlab, course for large scale programming)

CS 450 – Numerical Analysis (theoretical)

CS 555 -- Numerical Methods for PDEs

Useful UIUC courses for students who need programming experience:

CS 125 – Intro to Computer Science (Java, object oriented programming)

CS 173 – Discrete Structures (prereq for CS 225)

CS 225 – Data Structures (C++, object oriented programming)

Useful on-line courses:

Udacity: “Programming Foundations with Python,” “Design of Computer Programs” These free, self-paced courses are extremely well-structured and interesting.

Code Academy: Offers programming basics for Python, Java, HTML, Ruby, etc.

Udemy: A variety of online courses, including programming with Python Free to University of Illinois students, offers online courses. Search its playlists under "developer" to find series of courses in topics such as "Learn to Program in C++," "Learn to Program in JavaScript," "Learn to Program in Python" and others.

Coursera: Offers "specializations" -- students must pay a fee to earn the specialization certificate; however you can gain the same knowledge by taking the recommended courses for free. Our own university, for example, has a specialization in Data Mining, and Johns Hopkins has one in Data Science.

Khan Academy: Useful on-line courses to brush up on Probability and Statistics, Multivariate Calculus, Linear Algebra, etc.

Structured Query Language (SQL) Tutorial for Data Analysis

Graduate Admissions Contact

S Lance Cooper

Lance Cooper
Associate Head for Graduate Programs
227 Loomis Laboratory
(217) 333-3645

Have questions about the admission process?
Read through the Admissions pages or contact us.


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