Search result for Problem based learning examples Online Courses & Certifications
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University Teaching
by Dr. Lily Min Zeng , Tracy, Xiaoping Zou- 4.8
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Approx. 18 hours to complete
University Teaching is an introductory course in teaching and learning in tertiary education, designed by staff at the Centre for the Enhancement of Teaching and Learning at the University of Hong Kong. - Explain key teaching and learning concepts and relevant evidence in relation to effective university teaching. Student diversity in learning (I) : Three examples...
Knowledge-Based AI: Cognitive Systems
by Ashok Goel , David Joyner- 0.0
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Approx. 7 weeks
At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition....
Free
Problem-Solving Skills for University Success
by Katherine Olston , Lydia Dutcher- 4.9
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Approx. 23 hours to complete
In this course, you will learn how to develop your Problem Solving and Creativity Skills to help you achieve success in your university studies. Apply learnt problem solving and creative ideation skills to a real-life context and reflect on personal learning processes Learning Outcomes Learning Outcomes 1b Learning from Other People...
Assessing Achievement with the ELL in Mind
by Claire McLaughlin , Ellen Manos- 4.5
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Approx. 22 hours to complete
Project Based Learning and Learning Outcomes Project Based Learning and Language Objectives Classroom Application: Examples of Project Based Assessment Bonus Reading: Classroom Guide: Ten Takeaway Tips for Project Based Learning Bonus Video: Supporting ELLs Through Project Based Learning Project Based Learning & Assessment Aligning Project Based Learning to Outcomes Designing Problem Based Assessment...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. The Machine Learning Process The Three Kinds of Machine Learning...
Automated Reasoning: Symbolic Model Checking
by Hans Zantema- 0.0
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Approx. 13 hours to complete
BDD Examples BDD based symbolic model checking NuSMV source of foxes and rabbits problem Problem 1: colored marbles Problem 2: reaching equal values Problem 3: deadlocks in packet switching networks...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Supervised learning Unsupervised learning Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Setting factor loadings and examples...
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Data Structures and Algorithms
by Brynn Claypoole , Abe Feinberg , Kyle Stewart-Franz- 0.0
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4 Months
You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices....
Evaluations of AI Applications in Healthcare
by Tina Hernandez-Boussard , Mildred Cho- 4.5
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Approx. 11 hours to complete
Learning Objectives Examples of AI in Healthcare Learning Objectives OAP Examples Learning Objectives The Problem Learning Objectives Real World Examples of AI Bias Learning Objectives The Problem Examples Problem Formulation...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. Introduction to Deep Learning...
