This is not your traditional math class! Rather than focusing on rote memorization or rigid formulas, this course emphasizes developing a deeper understanding of mathematical and statistical reasoning. Instead of simply teaching students how to calculate an average (mean), for instance, I will guide them toward discovering how to develop a value that they believe best represents an average. This reflective approach helps students think critically about the meaning and application of mathematical concepts, rather than just performing calculations. The course prioritizes practical applications over theoretical repetition. You will engage with real-world case studies and utilize modern tools such as MATLAB, R, and Python to solve problems across fields like medicine, social sciences, and business. We will explore statistical reasoning, data analysis, and numerical algorithms, always with the goal of helping students connect these abstract concepts to professional and real-life scenarios. By encouraging students to question, analyze, and understand the underlying logic of mathematical principles, the course fosters critical thinking and problem-solving skills. By the end, you will not only know how to perform calculations but also understand the "why" behind them, enabling you to apply mathematical reasoning effectively in academic and professional contexts.