December 9-11 and 15, 2025 | Universitas Muhammadiyah Pontianak
As part of the International Mobility and Exchange Program, participating students continued their academic immersion through a series of specialized classes conducted by faculty members of Universitas Muhammadiyah Pontianak (UMP), providing hands-on learning and interdisciplinary exposure.
On December 9 (Day 9), students attended Pak Wahid’s IoT class, where they were introduced to basic Android development using Android Studio. The session focused on teaching students how to display a list of names on an Android mobile phone application, giving them practical experience in mobile and IoT-related development. The class was supported by a student assistant, Bang Kizki, who guided participants during the hands-on activities.
On December 10 (Day 10), the immersion featured Pak Doddy’s class, from a Mechanical Engineering instructor, which explored the application of IoT in heat transfer systems. The discussion highlighted how IoT technologies are used to monitor and optimize thermal systems, including their advantages and limitations. To enrich the learning experience, Pak Doddy also toured the exchange students around the research facilities, where ongoing studies involving motorbike energy were being conducted, offering insights into applied research in mechanical engineering.
On December 11 (Day 11), students joined Ibu Isti’s class, which focused on Digital Convergence and Horizontal Integration Strategies in Digital Product Management. The session emphasized how digital products evolve through integration across platforms and technologies. Exchange students were also given the opportunity to share their thesis topics, fostering meaningful academic exchange as both groups discussed their respective research studies and perspectives.
The academic activities concluded on December 15 (Day 15) with Ibu Alda’s class on Computer Vision, where students were introduced to various tools and techniques used in the field. The lecture covered core concepts, fundamental techniques, and key algorithms in computer vision, providing students with foundational knowledge relevant to image processing and intelligent systems.
These academic engagements strengthened interdisciplinary learning, encouraged research discussions, and enriched the overall international exchange experience by combining theory, practice, and collaboration across different fields of study.
This post was reviewed and cleared for posting by the University Information Unit with POST ID: SOC-260106-0004.
