New Online Math Courses with “Making Math”

Harnessing the Power of Mathematica®– the ultimate application for computations.

We have created a revolutionary series of online math courses, powered by Mathematica®, the well-known computational application.  We offer these because we think that IT professionals working in data-driven careers need to have a strong understanding of higher level math.

Mathematica Graph

Frequency Plot Graph from Mathematica

These new online math courses are unique, because they are designed to:

  • Teach practical applications and “real-world” knowledge of math concepts
  • Develop answers and solutions with Mathematica, which eliminates manual problem solving
  • Offer the same hands-on, interactive teaching methods as our IT courses 
  • All using our new, exclusive learning environment called “Making Math”

To accomplish all this, we partnered with Wolfram Research to integrate their Mathematica application for computations into each of these college-level courses.  You’ll have access to this powerful engine when you enroll – eliminating the rote work typically found in math courses. These kind of graphs are widely using on online trading forex websites and platforms as you can pin point market activities as shown in this forex brokers website.

Probability Density Graph from Mathematica

Probability Density Graph

Instead, you will learn by doing:  Exploring math concepts in our Making Math learning environment, guided by your one-on-one instructor and aided by Mathematica.

Our new math courses have been created to expand your math skills for use in your career.   Innovative tools, great instructors, and a whole new approach to learning mathematics await you.  Click on the links below to learn about those that interest you. 

For more details on why we developed our math courses and how “Making Math” works with Mathematica, click here.  For more information, please contact our Student Services team at info@oreillyshool.com or call them at (707) 827-7288.

Function and Fourier Fit Graph

Function and Fourier Fit from Mathematica

135 Clock-hours, 9 CEUs
$540.00 (plus fees)

Using interactive lessons and the power of Mathematica, students in this course will learn hands-on through experimentation. Computer homework problems are assigned weekly and are followed up with literacy problems, which are done on paper. Traditional lectures are not a part of this course. Course Details>

Prerequisites:  High School Geometry and two semesters of high school algebra.

135 Clock-hours, 9 CEUs
$540.00 (plus fees)

The basic question throughout this course is, “What measures growth, and how does that give me a calculational advantage?” The course starts with data based questions about growth, moves on to average growth, and then to derivatives via instantaneous growth rates. There’s a heavy introductory dose of differential equations to help internalize the idea that derivatives measure growth. Course Details>

Prerequisites: MTH 010: Math Before Calculus, or equivalent skills.

135 Clock-hours, 9 CEUs
$540.00 (plus fees)

Following the lead of Emil Artin in his mid-fifties honors course at Princeton, we say that the integral measures area. Our job, then, is to find out how to calculate those areas. Many of your favorite results about integrals come directly from that definition. To do the calculations, the Fundamental Theorem of Calculus is presented as the Fundamental Formula. Virtually all applications of the integral can then be done with this one elementary, albeit elusive, formula. You’ll find a bit more about differential equations here, and a bit of a surprise in the lesson on the Gauss-Green Formula. Upon completion of the course, students will have a working knowledge of the fundamental definitions and theorems of elementary calculus, be able to complete routine derivations associated with calculus, recognize elementary applications of integral calculus, and be literate in the language and notation of calculus. Course Details>

Prerequisites: MTH 020: Calculus 1 – Derivatives, or equivalent skills.

90 Clock-hours, 6 CEUs
$360.00 (plus fees)

This course begins with an introduction to splines and some of its applications. Then it proceeds to cover series, Taylor polynomials, convergence and power series. Course Details>

Prerequisites: MTH 021: Calculus 2 – Integrals, or equivalent skills.

180 Clock-hours, 12 CEUs
$720.00 (plus fees)

This is a combined course in calculus of several variables, and a course in what has been called Advanced Calculus for Engineers, or Vector Calculus. The emphasis is on gradients and what they measure, flows in a vector field and how you analyze them, and the famous theorems of Gauss and Stokes Course Details>

Prerequisites: MTH 021: Calculus 2 – Integrals, or equivalent skills.

180 Clock-hours, 12 CEUs
$720.00 (plus fees)

Techniques and applications of ordinary differential equations, phase plane analysis, including Fourier series and boundary value problems, linear systems, linearization, Lyapunov’s method, flows, bifurcations, and an introduction to partial differential equations.. Course Details>

Prerequisites: MTH 023: Vector Calculus, or equivalent skills.

180 Clock-hours, 12 CEUs
$720.00 (plus fees)

This course is highly applied and computationally focused. The course combines the important underlying theory with applied examples from electrical engineering, computer science. The focus is on matrix action, the geometry of matrix action, and the underlying reasons for what we see, how we solve, and what makes it all work. The foundation is the singular value decomposition of matrices. Course Details>

Prerequisites: MTH 023: Vector Calculus, or equivalent skills.

180 Clock-hours, 12 CEUs
$720.00 (plus fees)

In this course, you will be introduced to mathematical probability including the calculus of probability. The topics covered include combinatorial analysis, random variables, expectation, distribution functions, moment-generating functions, and central limit theorem. The course concludes with statistics topics such as sampling, confidence intervals and hypothesis testing. Course Details>

Prerequisites: MTH 023: Vector Calculus, or equivalent skills.