Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.
Algorithmic Thinking (Part 2)
Algorithmic Thinking (Part 2)
This course is part of Fundamentals of Computing Specialization
Instructors: Luay Nakhleh
Sponsored by InternMart, Inc
25,589 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(216 reviews)
Intermediate level
Some related experience required
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Fundamentals of Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Sorting, searching, big-O notation, the Master Theorem
What's included
13 videos2 readings1 assignment
Closest pairs of points, clustering of points, comparison of clustering algorithms
What's included
4 readings1 peer review2 app items
Dynamic programming, running time of DP algorithms, local and global sequence alignment
What's included
7 videos1 assignment
Computation of sequence alignments, applications to genomics and text comparison
What's included
1 video3 readings1 peer review1 app item
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.7
216 reviews
- 5 stars
80.55%
- 4 stars
11.11%
- 3 stars
4.62%
- 2 stars
2.31%
- 1 star
1.38%
Showing 3 of 216
RL
5
Reviewed on Mar 24, 2018
Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.
JO
5
Reviewed on Apr 28, 2018
Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.
DB
4
Reviewed on Oct 15, 2023
It is painful to take couple of days to wait for someone \\review applications so that I can move on to next chapter!
Recommended if you're interested in Computer Science
University of Michigan
University of Colorado Boulder
Scrimba
Fred Hutchinson Cancer Center
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy