Patrik Patera, Ph.D.

Patrik Patera, Ph.D.

Ph.D. from Taiwan Tech

Teaching

Large Language Models and Applications

Graduate course, Taiwan Tech (NTUST), Department of Electronic & Computer Engineering, 2026

This course offers a comprehensive deep dive into Large Language Models (LLMs) and Generative AI, covering theoretical foundations, technical architectures, and real-world applications. Students will explore internal mechanisms like pre-training, transfer learning, and task-specific fine-tuning. The curriculum extends to generative models (specifically text-to-image) and their training methods, equipping students with the practical skills needed to master these cutting-edge technologies.

Intelligent Video Surveillance Systems

Graduate course, Taiwan Tech (NTUST), Department of Electronic & Computer Engineering, 2026

This course provides a comprehensive introduction to state-of-the-art Intelligent Video Surveillance Systems, focusing on advanced computer vision and deep learning methodologies.

Database Design

Graduate course, Taiwan Tech (NTUST), Department of Electronic & Computer Engineering, 2026

This course explores the design and implementation of database systems, covering fundamental data models and query languages such as SQL and stored procedures. Students will examine transaction processing (ACID and concurrency control) and recovery mechanisms, including logging and checkpoints. A core component of the curriculum is a hands-on project involving three-tier database architecture. This course is designed for students with a strong programming background.