MATLAB and Simulink Seminars, 6 Dec
Session 1: Introduction to MATLAB and Simulink for Engineers and Scientists
10-11 am
Used worldwide in industry and academia in different areas of interest, MATLAB and Simulink work together for an integrated workflow, combining textual and graphical programming enabling to model, simulate and prototype complex systems, ensuring to focus on the creative side of engineering.
Come along to this seminar to learn how interactive tools in the MATLAB environment together with its high-level technical computing language and the graphical properties of Simulink help to increase productivity and simplify design workflows.
Highlights
- Data Analytics in MATLAB: import, explore and visualise data
- Machine Learning in MATLAB
- Interactive code with Live Scripts
- Simulation and Model-Based Design in Simulink
- Hardware support (Arduino, Raspberry Pi)
- Online Self-paced Training
- Using MATLAB from your browser and your phone
The event is free, but registration is essential here -Just pop your email into the box which says "Enter your contact information to continue" to open registration for the event.
Session 2: Deep Learning Made Easy
Deep learning is a machine learning technique that learns features and tasks directly from data. It can achieve state-of-the-art accuracy in many humanlike tasks, considered algorithmically unsolvable with traditional machine learning. It is frequently used to develop applications such as face recognition, automated driving, and image classification.
The main tasks are to assemble large data sets (images, text, or sound), create a neural network, to train, visualise, and evaluate different models, using specialised hardware - often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them.
Highlights
- Learn the fundamentals of deep learning
- Deep Learning workflow in MATLAB
- Build a network from scratch
- Access and explore various pre-trained models
- Transfer learning with pre-trained models
- Learn how to improve the accuracy of deep networks
- Speed up network training with parallel computing on a cluster
The event is free, but registration is essential here -Just pop your email into the box which says "Enter your contact information to continue" to open registration for the event.
About the Presenter
Martina Sciola joined MathWorks as a Technical Specialist Engineer for Education in 2018 after her PhD studies at the University of Sheffield.
With a background on Biomedical Engineering, Martina’s PhD focused on personalised cardiovascular modelling. She also had the opportunity to work as a research associate on a project that explored the diagnosis of pulmonary hypertension, as well as being a research coordinator for an EU project that established a new centre of excellence of medicine at the University of Sheffield.
Her interests include Healthcare, Clinical applications, In silico medicine and Biomedical Engineering.