WORKSHOP

Data Analysis and Artificial Intelligence with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

Learn the basics of data analysis and practical machine learning and deep learning for classification problems in MATLAB. Import, preprocess, and analyze your data. Use a machine learning model that extracts information from real-world data or build and train a deep neural network to group your data into predefined categories.

• Import and preprocess data
• Data analysis and visualization
• Classification example using machine learning
• Classification example using deep learning
• Further resources (MATLAB Copilot, Academic Training Suite)

WORKSHOP

Deep Learning for Image Processing with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

This session provides an introduction to practical deep learning for image processing using MATLAB. Attendees will learn how to create and train different kinds of deep neural networks.

• Importing image data
• Perform image classification using pretrained networks
• Build convolutional networks from scratch
• Train networks to locate and label specific objects within images

WORKSHOP

Data Analysis and Artificial Intelligence with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

Learn the basics of data analysis and practical machine learning and deep learning for classification problems in MATLAB. Import, preprocess, and analyze your data. Use a machine learning model that extracts information from real-world data or build and train a deep neural network to group your data into predefined categories.

• Import and preprocess data
• Data analysis and visualization
• Classification example using machine learning
• Classification example using deep learning
• Further resources (MATLAB Copilot, Academic Training Suite)

ΜΕΡΟΣ A.

Deep Learning with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

This session provides an introduction to practical deep learning using MATLAB. Attendees will learn how to create and train different kinds of deep neural networks.

• Importing image data
• Perform image classification using pretrained networks
• Build convolutional networks from scratch
• Use long short-term memory networks

ΜΕΡΟΣ Β.

Teaching and Learning with Generative AI and MATLAB

Η παρουσίαση θα μεταδοθεί και μέσω Teams. Για να το παρακολουθήσετε online ζωντανά συνδεθείτε ΕΔΩ.

ΠΕΡΙΓΡΑΦΗ

Dynamic environments like MATLAB can serve as a playground where engineering students build transversal skills. In this session, you will explore the latest MATLAB teaching tools, like MATLAB Copilot, available at your university, along with best practices for integrating Generative AI into engineering education, like academic integrity, development of instructional content and student assessments.

MathWorks supports educators and students in combining the power of MATLAB and Generative AI to enhance learning outcomes. Together, we aim to thoughtfully integrate these technologies into higher education and with your feedback, continue to advance engineering education for societal impact.

ΜΕΡΟΣ A.

Deep Learning with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

This session provides an introduction to practical deep learning using MATLAB. Attendees will learn how to create and train different kinds of deep neural networks.

• Importing image data
• Perform image classification using pretrained networks
• Build convolutional networks from scratch
• Use long short-term memory networks

ΜΕΡΟΣ Β.

Teaching and Learning with Generative AI and MATLAB

Η παρουσίαση θα μεταδοθεί και μέσω Zoom. Για να το παρακολουθήσετε online ζωντανά συνδεθείτε ΕΔΩ.

ΠΕΡΙΓΡΑΦΗ

Dynamic environments like MATLAB can serve as a playground where engineering students build transversal skills. In this session, you will explore the latest MATLAB teaching tools, like MATLAB Copilot, available at your university, along with best practices for integrating Generative AI into engineering education, like academic integrity, development of instructional content and student assessments.

MathWorks supports educators and students in combining the power of MATLAB and Generative AI to enhance learning outcomes. Together, we aim to thoughtfully integrate these technologies into higher education and with your feedback, continue to advance engineering education for societal impact.

ΜΕΡΟΣ A.

App Design with MATLAB

Το σεμινάριο θα γίνει με πρακτική άσκηση σε υπολογιστές μέσω παραδειγμάτων τα οποία θα εκτελούνται συγχρόνως από τον εισηγητή και τους εκπαιδευόμενους μέσα στο MATLAB.

Agenda

Build your science and engineering portfolio: design and implement MATLAB interactive applications:

1. Basics of Graphical User Interface (GUI) Components
2. Event Handling and Callbacks
3. Deploying MATLAB GUIs
4. Intro to MATLAB Copilot

In this hands-on workshop, you will learn how to build a MATLAB applications with a Graphical User Interface and how an app can be shared with users without any prior knowledge of MATLAB.

ΜΕΡΟΣ Β.

Teaching and Learning with Generative AI and MATLAB

Η παρουσίαση θα μεταδοθεί και μέσω MS Teams. Για να το παρακολουθήσετε online ζωντανά συνδεθείτε ΕΔΩ.

ΠΕΡΙΓΡΑΦΗ

Dynamic environments like MATLAB can serve as a playground where engineering students build transversal skills. In this session, you will explore the latest MATLAB teaching tools, like MATLAB Copilot, available at your university, along with best practices for integrating Generative AI into engineering education, like academic integrity, development of instructional content and student assessments.

MathWorks supports educators and students in combining the power of MATLAB and Generative AI to enhance learning outcomes. Together, we aim to thoughtfully integrate these technologies into higher education and with your feedback, continue to advance engineering education for societal impact.