Search result for How to learn game theory Online Courses & Certifications
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Competitive Programming for Beginners
by Filipp Rukhovich , Ilia Stepanov , Oleg Hristenko , Vladislav Nevstruev- 0.0
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Approx. 153 hours to complete
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. You will also learn how to submit your solution to the testing system....
English for Journalism
by John Cotton , Eve Litt- 4.8
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Approx. 43 hours to complete
In unit 2, you will learn how to research, pitch, and interview. Unit 2: How to Research, Pitch, and Interview Game 2: Vocabulary Practice Game 5: Changing Direct Speech to Reported Speech Game 2: Match Lead to Lead Type Game 4: When to Use Passive Voice Game 1: Matching Language to Definitions...
Introduction to Psychology
by Paul Bloom- 4.8
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Approx. 15 hours to complete
We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury. How to take this course Piaget's Developmental Stage Theory How are children different from adults? From the world to the mind...
Game Design and Development 1: 2D Shooter
by Brian WinnTop Instructor- 4.7
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Approx. 15 hours to complete
If you love games and want to learn how to make them, then this course will start you down that path. From Game Player to Game Developer The Game Design Process - Part 1: How are Games Made? The Game Design Process - Part 2: The Role of the Game Designer...
Objective-C for Swift Developers
by Gabrielle Miller-Messner- 0.0
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Approx. 5 weeks
With this knowledge you will be able to confidently answer some of the most commonly asked interview questions related to Objective-C. lesson 3 Adding Functionality to a Class: Methods and Messages Master how to write and call methods in Objective-C. lesson 4 Migrate an App from Objective-C to Swift: Part I Learn how to write custom classes....
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Gamification
by Kevin Werbach- 4.8
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Approx. 17 hours to complete
Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively. 3 The Game vs. 3 Gaming the Game...
Serious Gaming
by Jeroen Jansz , Mijke Slot- 4.5
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Approx. 9 hours to complete
Have you ever wondered how playing games can help us to train people, deal with societal challenges or raise awareness of contemporary social issues? State of the art theories from game studies, philosophy and media psychology will be used to help you understand how serious games work and how they appeal to players. Introduction to game theory...
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English for Career Development
by Brian McManusTop Instructor , Robyn Turner- 4.8
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Approx. 40 hours to complete
Welcome to English for Career Development, a course created by the University of Pennsylvania, and funded by the U. Unit 2 will take you through the steps necessary to produce a professional-looking resume. Language Focus- Using Modal Verbs to Write Politely Game 3: Unit 3 Vocabulary Flashcards Game 3: Matching Answers to Questions...
A Scientific Approach to Innovation Management
by Alfonso Gambardella , Arnaldo Camuffo , Chiara Spina- 4.6
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Approx. 14 hours to complete
How can innovators understand if their idea is worth developing and pursuing? In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls. How to derive hypotheses from a theory How firms and startups can gather and analyze data to test hypotheses...
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. Introduction to TensorFlow Introduction to Deep Learning Introduction to Convolutional Neural Networks (CNNs) Introduction to Restricted Boltzmann Machines Introduction to Autoencoders...
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