About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 20 hours to complete

Suggested: 4 weeks of study, 6-12 hours/week...

English

Subtitles: English
User
Learners taking this Course are
  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Operations Analysts
  • Researchers
User
Learners taking this Course are
  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Operations Analysts
  • Researchers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 20 hours to complete

Suggested: 4 weeks of study, 6-12 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
6 hours to complete

Basic Constraint Programming

8 videos (Total 128 min), 3 readings, 1 quiz
8 videos
3.1.1 Constraint Programming Solvers13m
3.1.2 Domains + Propagators18m
3.1.3 Bounds Propagation21m
3.1.4 Propagation Engine21m
3.1.5 Search25m
3.1.6 Module 1 Summary4m
Workshop 919m
3 readings
Course Overview10m
Start of Course Survey10m
Workshop 9: CP Basic Search Strategies10m
Week
2
6 hours to complete

Advanced Constraint Programming

7 videos (Total 143 min), 1 reading, 1 quiz
7 videos
3.2.2 Restart and Advanced Search20m
3.2.3 Inside Alldifferent14m
3.2.4 Inside Cumulative14m
3.2.5 Flattening39m
3.2.6 Module 2 Summary6m
Workshop 1030m
1 reading
Workshop 10: CP Advanced Search Strategies10m
Week
3
5 hours to complete

Mixed Integer Programming

6 videos (Total 102 min), 1 reading, 1 quiz
6 videos
3.3.2 Mixed Integer Programming17m
3.3.3 Cutting Planes14m
3.3.4 MiniZinc to MIP13m
3.3.5 Module 3 Summary4m
Workshop 1126m
1 reading
Workshop 11: MIP Modelling10m
Week
4
6 hours to complete

Local Search

10 videos (Total 160 min), 2 readings, 1 quiz
10 videos
3.4.2 Constraints and Local Search12m
3.4.3 Escaping Local Minima- Restart6m
3.4.4 Simulated Annealing7m
3.4.5 Tabu List9m
3.4.6 Discrete Langrange Multiplier Methods28m
3.4.7 Large Neighbourhood Search24m
3.4.8 MiniZinc to Local Search16m
3.4.9 Module 4 Summary8m
Workshop 1230m
2 readings
Workshop 12: Local Search10m
End of Course Survey10m
4.9
3 ReviewsChevron Right

Top reviews from Solving Algorithms for Discrete Optimization

By JGMay 12th 2019

very good introduction, lessons are fun to watch and exercises are useful

Instructors

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Prof. Jimmy Ho Man Lee

Professor
Department of Computer Science and Engineering
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Prof. Peter James Stuckey

Professor
Computing and Information Systems

About The University of Melbourne

The University of Melbourne is an internationally recognised research intensive University with a strong tradition of excellence in teaching, research, and community engagement. Established in 1853, it is Australia's second oldest University....

About The Chinese University of Hong Kong

Founded in 1963, The Chinese University of Hong Kong (CUHK) is a forward looking comprehensive research university with a global vision and a mission to combine tradition with modernity, and to bring together China and the West. CUHK teachers and students hail from all corners of the world. CUHK graduates are connected worldwide through an expansive alumni network....

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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.