About this Course

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Advanced Level
Approx. 24 hours to complete
English
Subtitles: English, Korean
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 24 hours to complete
English
Subtitles: English, Korean

Offered by

National Research University Higher School of Economics logo

National Research University Higher School of Economics

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Introduction into particle physics for data scientists

4 hours to complete
5 videos (Total 46 min), 2 readings, 1 quiz
5 videos
Introduction into the course11m
Experimental particle physics13m
Testing hypotheses experimentally12m
Particle physics simulation7m
2 readings
About the University10m
Lecture slides10m
Week
2

Week 2

5 hours to complete

Particle identification

5 hours to complete
7 videos (Total 62 min), 1 reading, 2 quizzes
7 videos
Tracking system7m
Ring Imaging Cherenkov detector6m
Calorimeters11m
Muon system8m
Machine learning in particle identification6m
Uniform classifiers12m
1 reading
Lecture slides10m
1 practice exercise
Particle identification quiz30m
Week
3

Week 3

7 hours to complete

Search for New Physics in Rare Decays

7 hours to complete
4 videos (Total 41 min), 1 reading, 1 quiz
4 videos
Lepton Flavour Violation14m
Classifier Constraints12m
Data vs Simulation Agreement5m
1 reading
Lecture slides10m
Week
4

Week 4

4 hours to complete

Search for Dark Matter Hints with Machine Learning at new CERN experiment

4 hours to complete
5 videos (Total 41 min), 1 reading, 1 quiz
5 videos
Search for Dark Matter at Accelerator Experiment11m
Getting Data Before Experiment is built10m
Going Deeper9m
Looking Ahead3m
1 reading
Lecture slides10m

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About the Advanced Machine Learning Specialization

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings....
Advanced Machine Learning

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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