Sustainable Infrastructure Engineering (Land) Modules

This module will introduce applied statistical reasoning, introducing fundamental statistical skills and acquainting students with the full process of inquiry and evaluation used in investigations in a wide range of fields. Particularly, the module will cover methods of data collection, constructing effective graphical and numerical displays to understand the data, how to estimate and describe the error in estimates of some important quantities, and the key ideas in how statistical tests can be used to separate significant differences from those that are only a reflection of the natural variability in data.

By the end of this module, students will be able to:

• Explain the foundational principles and concepts that are common to all statistical methods.
• Select appropriate statistical methods in term of its strengths and limitations.
• Apply each of the concepts to practical situations (Six-Sigma DMAIC process) to make appropriate conclusions.

This module introduces the student to manufacturing technologies relevant to today’s mechanical engineering practice. It equips the student with the fundamentals and applicable knowledge to address design, process and quality issues commonly faced in modern manufacturing processes and operations.

The student would be encouraged to explore both traditional and non-traditional manufacturing processes through lectures, laboratory sessions, on-line activities and projects. Assessment of learning will be through continual assessments, evaluation of group projects and the student’s individual performance in a final examination.