This course helps you master the topic of transformers for natural language processing, including the architecture, training, and prompt design

Software-based and physical side-channel attacks have similar techniques. But physical attacks can observe properties and side effects that are usually not visible on the software layer. Thus, they are often considered the most dangerous side-channel attacks. In this course, we learn both about physical side-channel attacks but also about more advanced software-based side channels using prefetching and branch prediction. You will work with these attacks and understand how to mitigate them.

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

Learn about data structures that are used in computational thinking – both basic and advanced.

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

Understand machine learning's role in data-driven modeling, prediction, and decision-making.

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn the core techniques of computational linguistics alongside the cognitive science that makes it all possible and the ethics we need to use it properly.

Extend your knowledge of the core techniques of computational linguistics by working through case-studies and visualizing their results.