12th Grade Data Mining Passages

Develop skills to critically evaluate online information by identifying misinformation in science-related content. Focus on applying analytical skills to verify sources and distinguish credible science news from misleading information.

Understand the rising need for drone pilots in construction, mining, and aggregates, focusing on how drone technology boosts productivity and safety. Identify key skills necessary for success, such as aerial data processing, and examine its applications within these industries. Gain insights into career opportunities and technological developments in this field.

Explore the essential aspects of computational thinking by focusing on techniques such as problem decomposition, abstraction, and data mining. Develop the ability to approach complex problems methodically, enhancing skills in algorithmic thinking and efficient problem-solving.

Examine the core standards governing expert testimony in legal cases, emphasizing the Frye and Daubert principles. Understand how expert opinions are evaluated in courtrooms and learn the criteria for admissibility based on scientific acceptance and reliability.

Explore the classification of data structures into linear and non-linear types, focusing on stacks, queues, and trees. Gain an understanding of key functionalities and advantages to make informed decisions when selecting the appropriate data structure for specific applications.

Focuses on understanding current environmental issues in North Carolina, encouraging critical examination of information sources and comprehension of scientific implications. Develops skills in evaluating opposing viewpoints, understanding environmental science, and exploring strategies for local and collective action.