Coursera – Algorithms Specialization 2024-3 – Download

explanation

Algorithms Specialization is the name of a training set for like-minded scientists and the computer science industry and with the help of this course you will acquire the basic principles of algorithm design and analysis techniques. Algorithms are at the heart of computer science, and this problem has practical applicability across numerous industries. During this collection, a preliminary introduction to algorithms was provided for students with some programming experience. Although this course is a relatively challenging industry, it emphasized an overview and conceptual understanding of low-level minor math implementations. By the end of this course, you will have reached the level you want to achieve in interviews with other programmers and scientists on Computer Science Talk: technical supremacy of the mind, and spiritualism over algorithms.

The skills available from the Algorithm specialization set include:

algorithm
dynamic programming
Algorithm Greedy
Algorithm divide and conquer
Algorithm random storage
sorting algorithm
graph
data structure
hash table
the next graph in the graph
Np-completeness

Specification Volume:

Publisher: Coursera
teacher: Team Rough Garden
Language: English,
Education level: average
Number of courses: 4
Time: 2 months, 10 hours a week

Courses available in the Algorithms Specialty Collection:

Algorithm Specialization

precondition:

Learners must know how to program in at least one programming language (such as C, Java, or Python). Some knowledge of proof, including proof by induction and contradiction; And there are also some discrete probabilities, such as how to calculate the probability of a poker hand being full. At Stanford, sophomore, junior, and senior computer science majors take this course.