A comprehensive review of the course concepts applied to complex logic problems. Includes the course Posttest.

Analyzing statistics for reliability, sample size, and representative quality, while identifying the misuse of averages and partial claims.

Identifying fallacies that bypass logic to target emotions: scare tactics, flattery, peer pressure, and appeals to pity.

Developing the skills to assess the validity and reasonableness of evidence, and ensuring explanations are relevant and testable.

Recognizing errors in inductive logic: hasty generalizations, biased generalizations, and non sequiturs.

A deep dive into common logical errors: Slippery Slope, Circular Reasoning, Ad Hominem, Red Herring, and the Straw Man.

Evaluating source reliability by recognizing bias, determining levels of expertise, and understanding the specific challenges of eyewitness testimony.

Analyzing how language is used to influence: euphemisms, dysphemisms, and the subtle power of biased questioning.

Building logical conclusions from evidence and identifying causal relationships, including 'post hoc' and 'chicken or the egg' errors.

The mechanics of deductive reasoning: identifying premises and conclusions, and assessing the overall structure of a formal argument.

Focuses on identifying the core issues of complex problems, breaking them into manageable parts, and prioritizing components for effective resolution.

Establishes the foundation of critical thinking by distinguishing between reason and emotion, and fact versus opinion (thinking vs. knowing). Includes the course Pretest.

A comprehensive 35-minute review session for Topic 9, covering economic theories, fiscal policy nuances like crowding out and lags, and a deep dive into the Federal Reserve's monetary tools to prepare students for their exam.