DATA 2113 — DATABASE MANAGEMENT & DESIGN
This course builds on the concepts learned in DATA 2113. It introduces statistical methods and their applications in science and engineering and covers fundamental statistical concepts, including descriptive statistics, probability, and inferential statistics. Students will learn to apply statistical techniques to analyze and interpret data, design experiments, and solve real-world engineering and scientific problems. Key topics include probability distributions, hypothesis testing, regression analysis, and quality control. The course emphasizes the use of statistical software for data analysis and visualization, enhancing students’ proficiency in tools such as R or Python. Through hands-on projects and case studies, students will develop critical thinking and problem-solving skills, enabling them to make data-led decisions in their respective fields. By the end of the course, students will be able to communicate statistical findings effectively, understand the ethical considerations in data analysis, and appreciate the role of statistics in quality control and reliability engineering. This course prepares students for more advanced studies and professional practice in science and engineering disciplines.