Coursera – Specialization in Algorithms 2024-3

Description

Algorithm specialization, name of a training set for a similar idea that a scientist in the computer science field will acquire and, with the help of this course, acquire skills in the basic principles of the design and analysis of algorithms. Algorithms are at the heart of computer science, and this topic has practical applicability in countless industries. This collection period provided an introduction to algorithms for students who have minimal programming experience. Although the course is a relatively difficult industry course, overview and conceptual understanding are emphasized in the implementation of low-level, minor mathematics. At the end of this course, you will reach the level you want to achieve, the technical superiority of the mind and the clairvoyance over algorithms, in the interview with other programmers and scientists in Computer Science Talk.

The skills you can acquire in the Sets Algorithms specialization:

Algorithms
Dynamic programming
Algorithm greedy
Divide and conquer algorithms
Random memory algorithm
Sorting algorithms
Graphics
Data structure
Hash table
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Np completeness

Specifications Volume:

Publisher: Coursera
Teacher: Tim Roughgarden
Language: English,
Education level: average
Number of courses: 4
Duration: 2 months of 10 hours per week

Courses available in the Algorithms Specialization collection:

Specialization in algorithms

Required courses:

Learners should know how to program in at least one programming language (such as C, Java or Python); some familiarity with evidence, including evidence by induction and contradiction; and a discrete probability, such as how to calculate the probability of a poker hand being a full house. At Stanford, a version of this course is taken by sophomore, junior, and senior computer science students.