This course is the fourth of eight courses aiming to help you to become confident working with algorithms and data structure. You will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.
Problems, Algorithms and Flowcharts
Problems, Algorithms and Flowcharts
This course is part of Data Science Foundations Specialization
Instructor: Robert Zimmer
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
In this course you will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.
Details to know
Shareable certificate
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Assessments
10 assignments
Taught in English
Recently updated!
October 2024
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This course is part of the Data Science Foundations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This week, we will cover three key concepts: problems in computer science (CS), algorithms in CS, and flowcharts.
What's included
4 videos3 readings3 assignments2 discussion prompts
This week, we will continue covering the three key concepts: problems in computer science (CS), algorithms in CS, and flowcharts.
What's included
4 videos3 assignments2 discussion prompts
This week, we will cover three key concepts: pseudocode, iteration and conversion from flowcharts to pseudocode.
What's included
5 videos2 assignments3 discussion prompts
This week, we will continue covering three key concepts: pseudocode, iteration and conversion from flowcharts to pseudocode.
What's included
4 videos2 assignments2 discussion prompts
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