About this Course
4.2
43 ratings
10 reviews
Specialization

Course 5 of 7 in the

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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 9 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English
Specialization

Course 5 of 7 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 9 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
5 hours to complete

Week 1: Introduction to Clustering Algorithms

<p>Welcome to class!</p><p>At the beginning of the class, we will see how algorithms for&nbsp;<strong>clustering&nbsp;</strong>a set of data points&nbsp;will help us determine how yeast became such good wine-makers. At the bottom of this email is the Bioinformatics Cartoon for this chapter, courtesy of <a href="http://bearandfox.com" target="_blank" title="Link: http://bearandfox.com">Randall Christopher</a> and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. How did the monkey lose a wine-drinking contest to a tiny mammal? &nbsp;Why have Pavel and Phillip become cavemen? And will flipping a coin help them escape their eternal boredom until they can return to the present? Start learning to find out!</p><p><img width="550" alt="" src="http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg"></p>...
Reading
5 videos (Total 33 min), 2 readings, 3 quizzes
Video5 videos
Which Yeast Genes are Responsible for Wine Making? 6m
Gene Expression Matrices 6m
Clustering as an Optimization Problem 10m
The Lloyd Algorithm for k-Means Clustering 5m
Reading2 readings
Course Details10m
Week 1 FAQs (Optional)
Quiz1 practice exercise
Week 1 Quiz20m
Week
2
Hours to complete
4 hours to complete

Week 2: Advanced Clustering Techniques

<p>Welcome to week 2 of class!</p> <p>This week, we will see how we can move from a "hard" assignment of points to clusters toward a "soft" assignment that allows the boundaries of the clusters to blend. We will also see how to adapt the Lloyd algorithm that we encountered in the first week in order to produce an algorithm for soft clustering. We will also see another clustering algorithm called "hierarchical clustering" that groups objects into larger and larger clusters.</p>...
Reading
5 videos (Total 35 min), 1 reading, 3 quizzes
Video5 videos
From Coin Flipping to k-Means Clustering 4m
Expectation Maximization 7m
Soft k-Means Clustering 3m
Hierarchical Clustering 7m
Reading1 reading
Week 2 FAQs (Optional)
Quiz1 practice exercise
Week 2 Quiz15m
Week
3
Hours to complete
1 hour to complete

Week 3: Introductory Algorithms in Population Genetics

...
Reading
2 readings, 1 quiz
Reading2 readings
Statement on This Week's Material10m
How Have Humans Populated the Earth?10m
Quiz1 practice exercise
Week 3 Quiz10m
4.2
10 ReviewsChevron Right
Career Benefit

50%

got a tangible career benefit from this course

Top Reviews

By HWJun 10th 2017

the part about EM is the best I know, and first time I understand the EM algorithm.

By MKNov 11th 2018

Absolutely fantastic course. Kudos to the course creators.

Instructors

Avatar

Pavel Pevzner

Professor
Department of Computer Science and Engineering
Avatar

Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

About the Bioinformatics Specialization

Join Us in a Top 50 MOOC of All Time! How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth? When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science. Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional! Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video. You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website. Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!...
Bioinformatics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.