Colleges

Knowledge and understanding:
1.1 Understanding the principles of industrial experiments, including: main effects, interaction diagrams, and interaction plots.
1.2 Identifying statistical measures and their elements, including: hypothesis testing, analysis of variance, and confidence intervals.
1.3 Identifying recent developments in statistical metrics and their applications in various engineering fields.
1.4 Outline of modern research in experimental design.
Skills:
2.1 Application of theories and principles specific to statistical methods, such as variance and standard deviation, in experimental design.
2.2 Solving Complex Engineering Problems in Experimental Design.
2.3 Designing and evaluating complex engineering problems through the design of experiments.
2.4 Employ appropriate technologies, tools, and materials to address complex experimental design problems in engineering fields.
2.5 Present the results of experimental design problems verbally and in writing through reports and presentations.
2.6 Statistical data analysis for experimental design problems using multiple methods, including the full factorial design and the fractional factorial design.
2.7 Use of Commercial Software in Applying Experimental Designs and Statistical Methods.
Values, autonomy and responsibility:
3.1 Display integrity and professionalism in all experience design activities.
3.2 Independently managing experimental design tasks.
3.3 Contribute effectively to teamwork.