2 Courses and Certifications

Coursera Mathematics And Computing Courses & Certifications

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Mathematical Thinking in Computer Science

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Certificate

Mathematical Thinking in Computer Science

Mathematics and computer science have entrenched relationships as math forms an important background in the field of computer science and computer science also has a lot of applicability math. As math is abstract, it helps in learning all the other programming languages. 

Mathematical thinking is critical in all the crucial areas of computer science like bioinformatics, data science, machine learning, algorithms, computer graphics, etc. In this course, Mathematical Thinking in Computer Science by Coursera, you will be taught the most significant and paramount tools used in discrete mathematics like recursion, logic, examples, induction, optimality. 

In this course, we apply a practical approach: try-this-before-we-explain-everything. Due to such a practice, you will be solving a plethora of interactive and mobile-friendly puzzles. These are carefully designed to give you a chance and opportunity to invent many of the crucial ideas and concepts by yourself. 

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6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Combinatorics and Probability

Offered by

Certificate

Combinatorics and Probability

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

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6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill

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