Coursera – Algorithms Specialization 2024-3

Published on: 2024-03-14 19:47:20

Categories: 28

Description

Algorithms Specialization, name of a training set for a similar thought a Scientist, Computer Science Industry, and with the help of this course in the fundamental principles of design and analysis of algorithms skills will earn. Algorithms are the heart of computer science are, and this issue has practical applicability countless industry. This collection period, a preliminary on algorithms for students that experience slightly in programming have been has provided. Although the course is relatively difficult industry, but the Overview and conceptual understanding of you in the implementation of low-level, minor math stressed. At the end of this course, you reach the level you want to hit that in the interview, the technical superiority of mind, and the psychic about algorithms with other programmers and scientists in Computer Science Talk.

The skills that in sets Algorithms Specialization will earn:

Algorithms
Dynamic Programming
Algorithm Greedy
Divide and conquer algorithms
Algorithm random storage
Sorting algorithms
Graphs
Data structure
Hash Table
The following graph from a graph
Np-Completeness

Specifications volume:

Publisher: Coursera
instructor: Tim Roughgarden
language: English,
educational level: the average
number of courses: 4
time: 2 months at 10 hours a week

Courses available in the collection Algorithms Specialization:

Algorithms Specialization

Prerequisite course:

Learners should know how to program in at least one programming language (like C, Java, or Python); some familiarity with proofs, including proofs by induction and by contradiction; and some discrete probability, like how to compute the probability that a poker hand is a full house. At Stanford, a version of this course is taken by sophomore, junior, and senior-level computer science majors.