In this course, students will gain hands on experience in fundamental operation principles of modern electronics used at the interface with biological systems. They will learn about the basics of fabrication of devices involving microfluidics and microarray device design principles. Students will then gain hands on experience in operating a bioreactor using the knowledge acquired from the lectures. Students will vary the different operational parameters and observe changes to the biomass, resource recovery etc. Next, we will provide students the principles of material science interfacing with biology, in order to design artificial implants and matrices for biomedical applications. The course aims to broaden the knowledge of the chemical, physical and biological properties of the materials, focusing on the materials recently used in the biomedical field. In particular, students will develop critical analysis of biomaterial development and methods of characterization. Furthermore, it will also introduce cutting-edge techniques associated with 3D bioprinting. Finally, students are introduced to data-analytics and modeling. Students will learn to use R and MATLAB through hands-on exercises. Using R students will learn to plot data-distributions, calculate summary statistics, perform dimension reduction analysis (PCA, and other related techniques) and to run elementary bioinformatics scripts. In the modeling part students will work with simple mathematical models for synthetic biology (biological switch and oscillator) and basic predictive models (KNN, decision trees and SVM) using MATLAB.