Discrete Mathematics: Open Doors to Great Careers 2

Learn the core topics of Discrete Math to open doors to Computer Science, Data Science, Actuarial Science, and more!

3.60 (36 reviews)
Udemy
platform
English
language
Math
category
instructor
Discrete Mathematics: Open Doors to Great Careers 2
1,057
students
6 hours
content
May 2018
last update
$22.99
regular price

What you will learn

Refresh your math knowledge.

Gain a firm foundation in Discrete Mathematics for furthering your career.

Learn one of the mathematical subjects crucial for Computer Science.

Learn one of the mathematical subjects needed for Data Science.

Why take this course?

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The sequel to the course Discrete Mathematics: Open Doors to Great Careers.

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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

After taking this course, you will feel CARE-FREE AND CONFIDENT. I will break it all down into bite-sized no-brainer chunksI explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.

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

30 day full refund if not satisfied.

Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!

Screenshots

Discrete Mathematics: Open Doors to Great Careers 2 - Screenshot_01Discrete Mathematics: Open Doors to Great Careers 2 - Screenshot_02Discrete Mathematics: Open Doors to Great Careers 2 - Screenshot_03Discrete Mathematics: Open Doors to Great Careers 2 - Screenshot_04

Reviews

Jo
February 14, 2020
Listen, I get that this subject matter is dry by default, but GOOD LORD, you've made it even MORE BORING! We need this to be more interesting. You've made a stellar asmr video. It's all black and white too? Where's the color? where are the illustrations, examples ANYTHING!
Steven
March 26, 2018
Part 2 of a 2 part course. The first 2 parts of the first course were very good. From there, it's all downhill. The instructor doesn't do a particularly good job of building on material he has previously taught and the exercises are confusing and frustrating.
Kamran
October 22, 2017
Curriculum seems as if it is incomplete. Ends at efficiency of algorithms without properly describing time complexity and other parts related to time complexity. The course can benefit with more material.

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789338
udemy ID
3/11/2016
course created date
2/8/2020
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