A Special version of a Statistical Analysis Course

Statistical Analysis is a core second-semester course for engineering students, designed to provide a foundational understanding of regression analysis and introductory concepts in time series. The course spans five weeks, with a total of 20 instructional hours, and is offered in the flexible, digital ELITE modality, which leverages synchronous web conferencing via Zoom and extensive interaction through the Canvas Learning Management System (LMS). This innovative modality accommodates over 100 students distributed across multiple university campuses, fostering a collaborative and immersive learning environment. The course is led by a distinguished faculty member from the institution, supported by a multidisciplinary team of tutor professors stationed at different campuses. These tutor professors play a pivotal role in offering tailored feedback, academic guidance, and close monitoring of student progress. Additionally, guest experts from industry are integrated into two to three sessions, providing real-world insights into the professional applications of linear regression and time series analysis, thereby bridging academic concepts with industry practices. Active learning strategies are embedded within the course structure. All instructional materials are systematically organized on the Canvas LMS platform. The course culminates in a cross-campus collaborative project, which is designed to apply linear regression and time series concepts to analyze global indicators of happiness. To ensure robust evaluation, the course integrates two asynchronous argumentative exams which serve as key learning evidence, assessing the development of competencies in statistical reasoning and problem-solving. Through its innovative digital structure, cross-campus collaboration, and industry integration, this course exemplifies a cutting-edge approach to engineering education in the digital era.