[100% Off] ADHD: Everyday Strategies for Elementary Students Free Course Coupon

Description

This course will provide an overview of ADHD diagnosis and treatment. Course participants can expect to learn about ADHD as a developmental disorder that begins early in childhood, and participants will also learn about evidence-based approaches for diagnosing ADHD. Following that, two evidence-based treatment approaches (the Daily Report Card and Parenting Strategies) will be introduced. (Note these course activities are informational and are not intended to replace working with a licensed/trained professional).

Learning Objectives: Students will be able to identify the behaviors characteristic of ADHD, the components of a diagnosis, and evidence-based treatment procedures that can be used in the school or home.
1. Identify the key areas of functional impairment, symptom presentation, and diagnostic decision-making for youth with ADHD.
2. Develop a behavioral intervention suitable for treating ADHD in the school setting.
3. Apply effective parenting and teaching strategies for supporting youth with ADHD in the home, classroom, and neighborhood regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches?

This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the “right to be forgotten.”

This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair.

Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.

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