Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2018

Abstract

This paper presents a newpostgraduate level course, named Applied Statistical Analysis with R. Wepresent the course structure, teaching methodology including the assessmentframework and student feedback. The course covers the basic concepts ofstatistics, the knowledge of applying statistical theory in analyzing real dataand the skill of developing statistical applications with R programminglanguage. The first half of each lesson is dedicated to teaching students thestatistical concepts while the second half focuses on the practical aspects ofimplementing the concepts within the RStudio console. The Project-BasedLearning (PBL) approach is adopted to encourage students to apply the knowledgegained to solve real world problems, answer complex questions and generatehigh-quality results. We present various interesting projects to show how thestudents have implemented their statistical knowledge in solving real problems.It is concluded that combining hands-on experience using RStudio and PBL is aneffective teaching methodology to achieve the desired learning outcomes. Morethan 80% of students agree with the quality and usefulness of projects andthere is a strong positive correlation of 0.74 between the final project gradeand the final grade obtained by the students.

Keywords

Applied statistical analysis, Project-based learning, RStudio

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

2018 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE): Wollongong, Australia, December 4-7: Proceedings

First Page

581

Last Page

588

ISBN

9781538665220

Identifier

10.1109/TALE.2018.8615145

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TALE.2018.8615145

Download

Share

COinS