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Analysing Complexity

Approx. 12 hours to complete

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Course Summary

This course teaches how to analyze the complexity of algorithms in computer science, using techniques such as big O notation and recurrence relations.

Key Learning Points

Understand the basics of algorithm analysis
Learn different techniques of analyzing algorithms
Gain knowledge on how to apply the techniques to real-world problems

Learning Outcomes

Understand the fundamentals of analyzing algorithms
Learn how to apply the techniques to solve real-world problems
Gain knowledge on how to design efficient algorithms

Prerequisites or good to have knowledge before taking this course

Basic knowledge of programming and data structures
Familiarity with mathematical concepts

Course Difficulty Level

Intermediate

Course Format

Online Self-Paced
Video Lectures
Quizzes and Assignments

Similar Courses

Data Structures and Algorithms
Algorithmic Toolbox
Design and Analysis of Algorithms

Related Education Paths

Notable People in This Field

Donald Knuth
Clifford Stein
Ronald L. Rivest

Related Books

Description

The first course of the specialization ANALYZING COMPLEXITY will teach you what unifying patterns lie at the core of all complex problems. It advances your knowledge of your own field by teaching you to look at it in new ways.

ANALYZING COMPLEXITY is constructed in the following way: Week I. "What is Complexity?" - What is at the core of all complex problems Week II. "Complex Physical Systems" - What complex problems all have in common in the inanimate world Week III. "Complex Adaptive Systems" - What complex problems all have in common in nature Week IV. "Complex Cultural Systems" - What complex problems all have in common in human society Week V. "Complexity, Fragility, and Breakdown" - Why complex problems arise Week VI. "Complexity in the Anthropocene" - What complex problems face us today

Outline

What is complexity?
Complexity
Defining Complexity as a Concept
Complexity and Energy Flows
Complex Systems
Assessments - Specialisation Overview
Specialisation Assessment Overview
A Preview of the Briefing Paper Assignment
Assessment Overview for Course 1: Analysing Complexity
Resources
Glossary
Resources
Glossary
Glossary
Multiple Choice - Mod 1
Short writing for Module 1: What is complexity?

Complex Physical Systems
Complexity in the Non-Living World
Cosmic Complexity
Chemical Complexity
Planetary Complexity
Complex Physical Systems
Resources
Glossary
Resources
Glossary
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Glossary
Resources
Glossary
Glossary
Multiple Choice - Mod 2
Short writing for Module 2: Complex physical systems

Complex Adaptive Systems
Complex Adaptive Systems
Dissipative Structures
Cellular Complexity
The Complexity of Brains
Complex Ecosystems
Adaptive Systems and Ecosystems
Resources
Glossary
Resources
Glossary
Resources
Glossary
Resources
Glossary
Resources
Glossary
Glossary
Multiple Choice - Mod 3
Short writing for Module 3: Complex adaptive systems

Complex Cultural Systems
Human Complexity
The Evolution of Language
Social Complexity
Linguistic Complexity
Complexity Wealth and Consumption
Complex Cultural Systems
Resources
Glossary
Resources
Glossary
Resources
Glossary
Resources
Glossary
Resources
Glossary
Glossary
Multiple Choice - Mod 4
Short writing for Module 4: Social complexity

Complexity, Fragility, and Breakdown
The Breakdown of Complexity
The Breakdown of Stars and the Universe
The Breakdown of Organic Chemicals
The Breakdown of Species
The Breakdown of Societies
The Breakdown of Economies
Fragility and Collapse
Resources
Glossary
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Glossary
Resources
Glossary
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Glossary
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Glossary
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Glossary
Glossary
Multiple Choice - Mod 5
Short writing for Module 5: Limits to complexity

Complexity in the Anthropocene
The Anthropocene
Measuring Sustainability in the Anthropocene
Global Politics in the Anthropocene
Population Health in the Anthropocene
Increasing Complexity and the Anthropocene
The Final Assignment
Resources
Glossary
Resources
Glossary
Resources
Glossary
Resources
Glossary
Glossary
Multiple Choice - Mod 6
Short writing for Module 6: Complexity in the Anthropocene

Summary of User Reviews

Coursera's 'Analysing Complexity' course has received positive reviews from users. Many users found the course to be informative and well-structured. The course is highly recommended for those who want to learn about complexity and its analysis.

Key Aspect Users Liked About This Course

well-structured and informative

Pros from User Reviews

In-depth explanations of complex concepts
Engaging and interactive course content
Excellent course materials and resources
Great platform for networking with other learners

Cons from User Reviews

Some users found the course to be too difficult
Lack of personal interaction with instructors
Course assignments can be time-consuming
Limited opportunities for hands-on learning

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