| Proj No. | A2023-251 |
| Title | E-learning on Predicting Battery Degradation |
| Summary | Learn how to build a setup that will help you predict a battery's performance as it ages using a Trinket M0 and software algorithms and teach others about it through Interactive learning. In battery-powered devices, it is important to give the user insight into the condition of the battery. We've all seen examples of this in devices like phones, laptops, and even flashlights. They provide predictions of capacity and/or time remaining before the battery must be recharged. E-learning has gone from a niche type of teaching for techy subjects to being a preferred, growing and almost necessary way to teach EVERYTHING. Technology is expanding and people’s need and desire to learn on their own time and at their pace is making e-learning the goal for many companies. This project is to address the above-mentioned issue by developing an interactive learning software and/or hardware for the topic. The project is for Semester 2 to be completed within 2 semesters. The platform for the E-learning environment is highly flexible. You could use excel with power point with embedded equation. Or it can be developed using HTML, Java, or web programming languages. You may also use Netbeans IDE, Moodle or similar platform. Or you could implement in Cadence Virtuoso, ADS, Matlab. For hardware, you can build simple circuit using off-the-shelf components to help student to see, touch and learn to make education interesting. |
| Supervisor | A/P Boon Chirn Chye (Loc:S2 > S2 B2B > S2 B2B 66, Ext: +65 67905958) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Project Lab (Loc: S2-B4a-01/02) |
| Single/Group: | Single |
| Area: | Smart Electronics and IC design |
| ISP/RI/SMP/SCP?: |