top of page

I'm a Master of Big Data Analytics in Healthcare

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and systems. In this course, we study such algorithms and systems in the context of healthcare applications.

In healthcare, large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). This data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment. Rich Learning Content, Interactive Quizzes, Taught by Industry Pros, Self-Paced Learning, and Student Support Community.

I' m a Master of Introduction to Computing using Python

How a computer processes programming code

The write-run-debug cycle of writing code, running it, and revising it based on its output.

Procedural programming, or how to write sequential lines of code.

Variables, their types, and their role in complex programs.

Mathematical operators for arithmetic operations, exponents, and more.

Relational operators for evaluating relative values or set membership.

Boolean operators for resolving complex logical statements.

I'm a Master of Cyber-Physical Systems Security

An introduction to security issues relating to various cyber-physical systems including industrial control systems and those considered critical infrastructure systems.

I'm a Master of Machine Learning 1—Supervised Learning

Supervised Learning is an important component of all kinds of technologies, from stopping credit card fraud, to finding faces in camera images, to recognizing spoken language. Our goal is to give you the skills that you need to understand these technologies and interpret their output, which is important for solving a range of data science problems. And for surviving a robot uprising.

I'm a Master of Machine Learning for Trading

Understand data structures used for algorithmic trading.

Know how to construct software to access live equity data, assess it, and make trading decisions.

Understand 3 popular machine learning algorithms and how to apply them to trading problems.

Understand how to assess a machine learning algorithm's performance for time series data (stock price data).

Know how and why data mining (machine learning) techniques fail.

Construct a stock trading software system that uses current daily data.

I'm a Master of Compilers: Theory and Practice

Develop the skills necessary to work on create compilers and similar tools for modern operating systems and devices.

bottom of page