Discrete Mathematics Open Doors to Great Careers 2

Jul 4, 2018
Ebooks & Course
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Learn the core topics of Discrete Math to open doors to Computer Science, Data Science, Actuarial Science, and more!

Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as:

Computer Science
Data Science
Actuarial Science
Financial Mathematics
Cryptography
Engineering
Computer Graphics
Economics

If you’re looking to gain a solid foundation in Discrete Mathematics, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for you. If you’re a working professional needing a refresher on discrete mathematics or a complete beginner who needs to learn Discrete Mathematics for the first time, this online course is for you.

Why you should take this online course: You need to refresh your knowledge of discrete mathematics for your career to earn a higher salary. You need to learn discrete mathematics because it is a required mathematical subject for your chosen career field such as computer science or electrical engineering. You intend to pursue a masters degree or PhD, and discrete mathematics is a required or recommended subject.

Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, four years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International.

In this course, I cover core topics such as:

Set Theory
Functions
Relations
Partial Order Relations
Algorithms
Algorithm Efficiency

Practice problems are provided for you, and detailed solutions are also provided to check your understanding.

SALE PAGE | Price: $19,99

Discrete Mathematics Open Doors to Great Careers 2: Videos, PDFs | Size: 604 MB

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