Semester : Even
Academic Year : 2025/2026
Venue : Informatics Lab
Every : Tuesday (10.00 - 13.25 WIB) for Class "33"
Monday (16.25 - 19.30 WIB) for Class "34"
Tuesday (13.35 - 15.40 WIB) for Class "32"
Saturday (``13.30 - 16.00 WIB) for Class "41"
Week 1 (Semester Program Plan, Study Contract, Book and Supporting Materials)
Week 2 (The Fundamental of Machine Learning) Download | Youtube | ipynb
Week 3 (End to End Machine Learning Project) Download | ipynb | Video
Week 4 (Regression) Download | Video Rekaman | ipynb
Week 5 (Classification) Download
Week 6 (Building Good Training Sets - Data Preprocessing)
Week 7 (Learning Best Practices for Model Evaluation and Hyperparameter Tuning)
Week 8 (Mid Exam)
Week 9 (Combining Different Models for Ensemble Learning)
Week 10 (Applying Machine Learning to Sentiment Analysis)
Week 11 (Predicting Continuous Target Variables with Regression Analysis)
Week 12 (Implementing a Multilayer Artificial Neural Network from Scratch)
Week 13 (Parallelizing Neural Network Training with TensorFlow)
Week 14 (Classifying Images with Deep Convolutional Neural Networks)
Week 15 (Deploying Machine Learning Models in Web Application)
Week 16 (Final Exam)
Semester : Even
Academic Year : 2025/2026
Venue : Informatics Lab
Every : Monday (10.00 - 13.25 WIB) for Class "31"
Tuesday (20.00 - 22.30 WIB) for Class "34"
Week 1 (Semester Program Plan, Study Contract, Book and Supporting Materials)
Week 2 (Introduction of Data Mining) Download Youtube
Week 3 (Getting to Know Your Data) Download Quiz Rekaman
Week 4 (Output: Knowledge Representation) Download
Week 5 (Data Preprocessing)
Week 6 (Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods)
Week 7 (Classification: Advanced Methods)
Week 8 (Mid Exam)
Week 9 (Cluster Analysis: Basic Concepts and Methods)
Week 10 (Advanced Cluster Analysis)
Week 11 (Outlier Detection)
Week 12 (Data Mining Trends and Research Frontiers)
Week 13 (Introduction to Weka)
Week 14 (Writing New Learning Schemes)
Week 15 (Exercises for the Weka Explorer)
Week 16 (Final Exam)
Semester : Even
Academic Year : 2025/2026
Venue : General / Common Lab
Every : Monday (15.00 - 16.00 WIB) for Class "04"
Week 1 (Semester Program Plan, Study Contract, Book and Supporting Materials)
Week 2 (Introduction of Microsoft Family)
Week 3 (Basic of Microsoft Word Part 1)
Week 4 (Basic of Microsoft Word Part 2)
Week 5 (Basic of Microsoft Word Part 3)
Week 6 (Basic of Microsoft Excel Part 1)
Week 7 (Basic of Microsoft Excel Part 2)
Week 8 (Mid Exam)
Week 9 (Basic of Microsoft Excel Part 3)
Week 10 (Email Usage)
Week 11 (Google Drive Usage and Implementation)
Week 12 (Exploration for Research Part 1)
Week 13 (Exploration for Research Part 2)
Week 14 (Reference Manager Part 1)
Week 15 (Reference Manager Part 2)
Week 16 (Final Exam)