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Factorial and Fractional Factorial Designs
by Douglas C. Montgomery- 4.8
Approx. 12 hours to complete
This course is an introduction to these types of multifactor experiments. Unit 1: Introduction to Factorial Design Course Introduction Introduction to Factorials Course Description Course Textbook and Resources Best Practices in Online Learning (or How to Succeed in This Class) Unit 1: Introduction Addition of Center Points to a 2^k Design...
Introduction to Psychology
by Paul Bloom- 4.8
Approx. 15 hours to complete
This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. Welcome to Introduction to Psychology How to take this course About this course From the world to the mind The psychology of groups Clinical psychology Positive psychology...
Cryptography: Boolean functions and related problems
by Kutsenko Aleksandr , Anastasiya Gorodilova , Natalia Tokareva , Stjepan Picek , George Pintus- 4.3
Approx. 5 hours to complete
The course invites you to learn more about cryptography; you'll learn some important math which stands behind the ciphers, and defines how resistant the particular cipher will be to different types of attacks. From cryptanalysis to cryptographic Boolean functions Introduction and history Introduction to quantum infrotmation technology Description of Quantum Key Disrtribution (QKD) protocol BB84...
Deploying Machine Learning Models
by Ilkay Altintas , Julian McAuley- 3.5
Approx. 11 hours to complete
In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e. Introduction to Recommender Systems Review: Introduction to Latent Factor Models...
Random Models, Nested and Split-plot Designs
by Douglas C. Montgomery- 4.6
Approx. 9 hours to complete
A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. Course Introduction Course Description Course Textbook and Resources Best Practices in Online Learning (or How to Succeed in This Class) Unit 1: Introduction...
Audio Signal Processing for Music Applications
by Xavier Serra , Prof Julius O Smith, III- 4.8
Approx. 49 hours to complete
We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications. Introduction to Audacity Introduction to SonicVisualizer Introduction to sms-tools Introduction to Python...
Antibiotic Stewardship
by Stan Deresinski, MD , Elizabeth Robilotti , Marisa Holubar , Lina Meng, PharmD, BCPS, BCCCP , Emily Mui- 4.5
Approx. 6 hours to complete
This video based course will introduce learners to the basic principles of appropriate antibiotic use, demonstrate how to apply these principles to the management of common infections, and outline how to develop and maintain an antimicrobial stewardship program. The course will also explore strategies to implement principles of antimicrobial stewardship both in your practice and also at a program level....
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Giving Sense to Your Leadership Experience
by Valérie Gauthier- 4.6
Approx. 21 hours to complete
This course is part of a Specialization on Leadership called “Inspirational Leadership: Leading with Sense”, so you may want to take the course “Building Your Leadership Skills” prior of taking this course. 0- Giving Sense to Your Leadership experience, introduction Lesson description To complete the course "Giving Sense to Your Leadership Experience...
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Introduction to Supervised Learning Course Materials Introduction to Support Vector Machines Introduction to Training and Testing Project Description...
Internet of Things V2: DragonBoard™ bring up and community ecosystem
by Ganz Chockalingam , Harinath Garudadri- 3.4
Approx. 21 hours to complete
In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. Introduction to Lesson 1 Introduction to Lesson 2a Introduction to Lesson 2b Introduction to Lesson 2c Introduction to Lesson 2d Introduction to Lesson 3a Introduction to Lesson 3b...