## Online Joint Class IF TelU & UiTM

Online Joint Class IF TelU & UiTM. Having run the Online Joint Class with Communication Visual Design-Telkom University, Universiti Teknologi MARA Malaysia now collaborates with Informatics (IF), School of Computing, Telkom University. There are 12 classes will be implemented under the program Online Joint Class with various interesting topics.

Today (10/05/2023) two classes of Online Joint Class were held successfully this morning. The 1st Online Joint Class covered the topic on Clustering which was held at 09.00 AM (GMT+7)/ 10.00 (MYT) by presenting Ts. Dr. Sofianita Mutalib from College of Computing, Informatics and Media, UiTM as the speaker. Dr Sofianita explained clearly about the topic on Clustering 1 on this Online Joint Class to around 100 students from Telkom University and Universiti Teknologi MARA (UiTM) Malaysia.

Online Joint Class Topic 1: Clustering 1

In the presentation on Online Joint Class about Clustering 1, Dr. Sofianita discussed what Cluster Analysis is. Based on her explanation, cluster analysis is finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. Cluster Analysis is also one of unsupervised learning methods which do not have any predefined classes or any previous group information.

In the 1st topic of Online Joint Class, Dr. Sofianita also mentioned two methods of clustering, which are Partitional Clustering and Hierarchical Clustering. The former one is a division data objects into non-overlapping subsets (clusters) such that each data object is in exactly one subset, while the latter clustering is a set of nested clusters organized as a hierarchical tree.

The students of computing should also know between the similarity and dissimilarity in Clustering in OJC Clustering 1. Ts. Dr. Sofianita Mutalib explained the similarity of Clustering as the following:

• Numerical measure of how alike two data objects are
• Value is higher when objects are more alike
• Often falls in the range [0,1] cluster

Meanwhile, the dissimilarity of Clustering (e.g., distance):

• Numerical measure of how different two data objects are
• Lower when objects are more alike
• Minimum dissimilarity is often 0
• Upper limit varies

Online Joint Class Topic 2: Cloud Data Storage with Firebase and Flutter

The 2nd topic of the Online Joint Class delivered today is Cloud Data Storage with Firebase and Flutter. Muhammad Johan Alibasa, S.T., M.T., Ph.D., a lecturer of Telkom University introduced the use of firebase and flutter as cloud data storage to hundreds of students from Telkom University and Universiti Teknologi MARA Malaysia.

According to Dr. Johan in the 2nd topic of Online Joint Class, Firebase is a platform for building and growing popular apps and games. It is supported by Google and relied upon by millions of companies worldwide. While Flutter is an open-source framework by Google for building beautiful, natively compiled, multi-platform apps from a single codebase. Flutter transforms the app development process.

It was such an honor to have Dr. Sofianita and Dr Johan in the Online Joint Class. Next schedule for the Online Joint Class is as follows:

 No Date Time Topic 1 24-May-23 10.30-12.00 Maps and Place API with Flutter 2 24-May-23 12.30-15.00 UI Testing 3 31-May-23 12.30-15.00 Web vs Mobile Design 4 10-May-23 09.00-11.00 Data Mining – Clustering 1 5 17-May-23 09.00-11.00 Data Mining – Clustering 2 6 16-May-23 13.00-15.00 Digital Electronics 7 18-May-23 15.00-17.00 Analog Electronics 8 7-Jun-23 13.00-15.00 Data Mining – Association Analysis II 9 14-Jun-23 13.00-15.00 Data Mining – Association Analysis II 10 To be announced Data Mining 11 Data Mining

Don’t miss those interesting Online Joint Class topics to get more insight on those fields. See you!

***(IO)