The main objective of the course is to provide the student with the theoretical foundations and operational tools to design and plan experiments as well as to analyze data and optimize processes in chemical research.

Various design tools will be discussed underlying their respective differences, advantages, and disadvantages. Fundamentals of multivariate analysis to treat complex systems in the field of chemistry and pharmacology will be addressed.  A practical activity with the Stat Ease DesignExpert software will complete the course.

The student will therefore be able to evaluate the characteristics of the several approaches for screening and optimization of processes in chemical research. The student will also be able to suggest the choice of the methodology and tools for experimental design most suitable to address a specific problem.

1. Introduction to the Design of Experiments (DOE)

2. Screening Designs and their applications

3. Optimization Designs and their applications

4. Responses Analysis

5. Practical activities

D1 – KNOWLEDGE AND ABILITY TO UNDERSTAND.

§  describe the main algorithms presented in the course for correct use

§  describe the fundamental parameters for evaluating the results

§  describe the advantages and disadvantages of the different algorithms studied

D2 - ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.

§  to select the most suitable method to address a data analysis problem

§  to predict what type of information will be possible to extract from the data under examination

§  to evaluate the possibility of alternative design tools to solve the problem

§  to concretely apply the selected design tools and calculate the relevant informative statistical parameters

D3 - INDEPENDENCE OF JUDGMENT.

§  to acquire the knowledge and skills capable of developing a critical understanding of main tools for the design of experiments

§  to select the techniques and statistical parameters useful for extracting specific information from the data under examination

§  to draft and justify a critical discussion on the methods used and the information obtained from the data analysis

D4 - COMMUNICATION SKILLS.

To be able to communicate and transmit the concepts and notions learned during the training activity with appropriate terms and appropriate examples.

D5 – LEARNING ABILITY.

To understand the different techniques studied and their methodological placement for the purpose of correct use aimed at the problem to be solved.

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it