Algorithm Design and Analysis
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Computer Science Essentials for Software Development,
How do you optimally encode a text file? How do you find shortest paths in a map? How do you design a communication network? How do you route data in a network? What are the limits of efficient computation?
This course, part of the Computer Science Essentials for Software Development Professional Certificate program, is an introduction to design and analysis of algorithms, and answers along the way these and many other interesting computational questions.
You will learn about algorithms that operate on common data structures, for instance sorting and searching; advanced design and analysis techniques such as dynamic programming and greedy algorithms; advanced graph algorithms such as minimum spanning trees and shortest paths; NP-completeness theory; and approximation algorithms.
After completing this course you will be able to design efficient and correct algorithms using sophisticated data structures for complex computational tasks.
What you'll learn
- How to represent data in ways that allow you to access it efficiently in the ways you need to
- How to analyze the efficiency of algorithms
- How to bootstrap solutions on small inputs into algorithmic solutions on bigger inputs
- Solutions to several classic optimization problems
- How to critically analyze whether a locally optimal approach (greedy) can provide a globally optimal solution to a problem
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| Rating | 2.0★ based on 1 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 6 - 8 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $149 |
| From | University of Pennsylvania, PennX via edX |
| Instructor | Sampath Kannan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Engineering |
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What people are saying
learn from additional sources
The course alone is not helpful in learning about algorithms as I've had to learn from additional sources to do quiz questions and assignments.
currently on week
Currently on week 2.
follow the instructor
It's hard to follow the instructor's train of thought and answers to quiz questions are not explained well.
helpful in learning
learning about algorithms
train of thought
algorithms as
course alone
explained well
it 's hard
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| Rating | 2.0★ based on 1 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 6 - 8 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $149 |
| From | University of Pennsylvania, PennX via edX |
| Instructor | Sampath Kannan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Engineering |
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