May 2025 monthly summary for eth-ait/aitwebsite: Delivered two major Machine Perception course updates for the 2025 Spring term, focusing on content delivery and curriculum structure to improve student readiness and ease of use. Materials Enhancement consolidated tutorials, exercises, slides, and updated download links; Schedule Refresh restructured lectures, renumbering, and study/Q&A sessions. No critical bugs were reported. Overall impact includes improved student experience, clearer curriculum delivery, and maintainable assets for the upcoming semester. Technologies demonstrated include HTML/document maintenance, Git-based version control, change management, and cross-functional collaboration with course authors.

April 2025 performance focused on delivering two essential course-content features for the eth-ait/aitwebsite, improving Spring 2025 readiness and learner experience. Primary work centered on a comprehensive refresh of Course Materials for 2025 Spring Semester – Machine Perception – and updates to Course Schedule and Curriculum to align dates, slides, and topics with generative-model developments and the AIT Open Day. These efforts resulted in up-to-date materials, reliable resource links, and a synchronized calendar, setting a strong foundation for instructors and students.

March 2025 monthly summary for eth-ait/aitwebsite focused on keeping course materials current for the 2025 academic year and ensuring access to updated external resources. Delivered year-aligned content across HTML pages, slides, tutorials, exercises, and course schedule, and refreshed external notebooks/Colab references to reflect current XOR, Eye-Gaze, RNN, and CNN materials. Emphasized accuracy, accessibility, and onboarding efficiency to reduce student confusion and support overhead while demonstrating strong web content management and version control practices.

February 2025 monthly summary for eth-ait/aitwebsite focusing on Machine Perception course page updates and resource alignment.