phdindustrialengineering

Course: How to report & design your experiments


General information

Targeted year: 1° year of the PhD program

CFU: 1

Classes: 3 lessons of 3 academic hours – 1 open discussion class

Held by: Lorenzo Bartolucci, PhD

The three lessons will be held through the MS Teams platform (Class code: b1si3tp).

Objectives

The course aims to provide the theoretical basis of the Design of Experiment methods and the basic structure of scientific writing. In relation to the study of DoE methods, the basics of the theory will be provided together with some practical examples. As regards the scientific writing part, the fundamental elements of a scientific paper will be presented and the creation of a document about a generic laboratory experience will be envisaged in order to verify the concepts covered by the lectures.

Program

Lesson 1 – Theoretical lesson on writing and structure of a paper / thesis.

The fundamental elements of the structure of a paper / thesis will be presented and analyzed deeply.
In particular, the first lesson will cover the following elements:

a. Abstract – structure and essential elements, definition of context, objective and method, presentation of different types of abstracts based on some published examples, importance of keywords and summary of main results

b. Introduction – structure and analysis of the state of art, presentation of tools for literature study and organization of the work summary aimed at defining a clear introduction that allows for a clear statement of the specific contribution of the presented study

c. Bibliography – examples of bibliography and tools for a fast and dynamic realization

Lesson 2 – Theoretical lesson on writing and structure of a paper / thesis

The fundamental elements of the structure of a paper / thesis will be presented and analyzed deeply.

In particular, the second lesson will cover the following elements:

a. Methodology – structure and analysis of examples from literature, analysis of the essential elements and possible tools for effective communication (flowcharts, concept maps)

b. Results – structure and analysis of literature examples, importance of graphic elements, possible tools and quality standards

c. Discussion / Conclusions – structure and analysis of literature examples

Lesson 3 – Theoretical basis of Design of Experiment methods.

a. Introduction to Designed Experiments

b. Basic Statistical Methods

c. Analysis of Variance.

d. Factorial Experiments

e. Regression Modeling

f. Robust Design

g. Examples of practical applications.

(reference text: Design and Analysis of Experiments – Montgomery, Douglas C.)

Expected outcomes

A short report (in the form of an article – 4 pages) about a laboratory activity, which will be reviewed and discussed during the last class.