FILKOM UB Academic and Cultural Exchange on Information Technology
FACE IT
September 15 – November 21, 2025 | Faculty of Computer Science, Universitas Brawijaya
AI+X: Understanding and Applying Artificial Intelligence
Welcome to the
2025 FILKOM UB Academic and Cultural Exchange on Information Technology (FACE IT)
This year’s theme, “AI+X: Understanding and Applying Artificial Intelligence,” invites students from around the world to explore how AI can be integrated across various domains — from healthcare and agriculture to education, healthcare, and beyond.
Over an immersive two-month journey, you’ll engage in interactive online classes, hands-on workshops, and a one-week on-campus experience in Malang, East Java. Earn 10 ECTS credits, collaborate with peers and lecturers from diverse backgrounds, and experience the richness of Indonesian culture.
Whether you’re passionate about data science, machine learning, or real-world AI applications, FACE IT 2025 is the place to expand your knowledge, network globally, and create unforgettable memories.
Welcome to the future of learning — welcome to FACE IT.
Program Highlights
- Online Phase 1: 16 September – 24 October 2025
- Offline (On-Campus): 27 October – 01 November 2025
- Online Phase 2: 03 – 21 November 2025
- Comprehensive Facilities: Accommodation, local transportation, meals, and course materials—everything you need to succeed, provided at no cost.
- Cultural and Educational Immersion: From the breathtaking Mount Bromo to the historic Kayutangan Heritage, students enjoy exclusive cultural experiences, including a special Batik course and Malang’s culinary delights.
- Earn 10 Academic Credits: Boost your academic portfolio while expanding your global network. This program is equivalent to 4 courses: Artificial Intelligence (2 credits), Advanced AI (3 credits), AI Applications (3 credits), and Global Perspective (2 credits).
Seize this opportunity to learn, explore, and grow in a program designed to empower the next generation of tech leaders.
Registration Fee
The program is completely FREE for international students.
This package includes:
- Accommodation
- Local transportation
- Meals twice a day
- Course materials
- Earn a total of 10 academic credits
- Cultural and field trips, including visits to Kayutangan Heritage and a Special Batik Course
- CODE competition registration
This package DOES NOT include:
- Plane tickets to and from Indonesia
- Travel insurance
- Trip to Mount Bromo
- Other personal expenses
International students who wish to join the trip to Mount Bromo will need to pay a fee of IDR 700,000. This package includes transportation to Bromo, entrance fees, Jeep rental, snacks, a tour guide, and a photographer. Please note that breakfast and personal expenses are not included.
The registration fee for the program is Rp. 600.000,-.
This package includes:
- Local transportation during the program
- Meals during the course
- Course materials
- Earn a total of 10 academic credits
- Opportunities to meet with international students during the program
- Cultural and field trips, including visits to Kayutangan Heritage, Batu city experience and a Special Batik Course
- CODE competition registration
This package DOES NOT include:
- Transportation to and from Malang
- Accommodation
- Trip to Mount Bromo
- Other personal expenses
Indonesian students who wish to join the trip to Mount Bromo will need to pay a fee of IDR 450,000. This package includes transportation to Bromo, entrance fees, Jeep rental, snacks, a tour guide, and a photographer. Please note that breakfast and personal expenses are not included.
Please note that this package does not include meals during the trip or other personal expenses.
Registration period to the course has now expired
Selected and confirmed applicants will receive an email with attendance details shortly
Venue
Faculty of Computer Science, Universitas Brawijaya, Malang, Indonesia
Jl. Veteran, Ketawanggede, Lowokwaru, Kota Malang, Jawa Timur, Indonesia – 65145
Agenda
The syllabus of the FACE IT 2025 program can be downloaded form here: https://s.ub.ac.id/syllabus-ai-x
All meetings in the FACE IT 2025 program will be conducted online via Google Meet. Each session will be recorded and uploaded to Eling (https://eling.ub.ac.id/), the official Learning Management System (LMS) of Filkom UB. Students who are unable to attend live sessions will have the opportunity to review the recordings asynchronously at their convenience. Additionally, all lecture materials, assignments, and supporting resources will be made available through Eling throughout the duration of the program.
| Week | Meeting No. | Date | Topic | Description |
|---|---|---|---|---|
| 1 | 1 | 15-Sep-25 | What is AI and How AI Solves Problems? | Understand what AI is, where it comes from, how it's used today, and why it matters. Learn how AI solves problems, from mazes to real-world decisions. |
| 2 | 17-Sep-25 | Smart Searching: How AI Finds Solutions | Explore how AI searches for the best solution — like finding the shortest route — using step-by-step strategies such as BFS, DFS, and A*. | |
| 3 | 19-Sep-25 | AI That Evolves: Introduction to Genetic Algorithms | Discover how AI mimics evolution using natural selection to find optimal solutions through Genetic Algorithms. | |
| 2 | 4 | 22-Sep-25 | Teaching AI with Rules and Logic | Learn how AI reasons using logic and rules. Includes simple rule-based systems, propositional logic, and expert systems. |
| 5 | 24-Sep-25 | Handling Uncertainty: Making Smart Guesses | Understand how AI makes decisions under uncertainty using probabilities, Bayesian reasoning, and probabilistic inference. | |
| 6 | 26-Sep-25 | Supervised Machine Learning Part I | Learn the basics of machine learning, including supervised learning. Use supervised learning methods to classify data visually with Orange. | |
| 3 | 7 | 29-Sep-25 | Supervised Machine Learning Part II | Continue learning supervised learning. Use supervised learning methods to classify data visually with Orange. |
| 8 | 1-Oct-25 | Unsupervised Machine Learning | Understand how AI finds patterns without labels. Includes K-Means and Hierarchical Clustering using Orange. | |
| 9 | 3-Oct-25 | Exploring Data Visually | Learn how to explore and understand data using charts, distributions, and visual tools to guide analysis. | |
| 4 | 10 | 6-Oct-25 | How to Know if Your AI Works | Discover how to evaluate AI models using accuracy, confusion matrix, precision, recall, and ROC curves. |
| 11 | 8-Oct-25 | Data Preprocessing Part I | Learn the first steps of preparing data; handling missing values, normalizing, and transforming data. | |
| 12 | 10-Oct-25 | Data Preprocessing Part II | Dive deeper into data preparation with feature selection, dimensionality reduction, and encoding. | |
| 5 | 13 | 13-Oct-25 | Midterm Exam | Covers concepts from Weeks 1–12. |
| 14 | 15-Oct-25 | Introduction to Deep Learning | Understand how deep learning differs from traditional AI. Learn about perceptrons and multilayer neural networks. | |
| 15 | 17-Oct-25 | AI for Images | Discover how Convolutional Neural Networks (CNNs) work for image recognition and visual data. | |
| 6 | 16 | 20-Oct-25 | AI for Text | Learn how AI analyzes and generates language using models like Bag-of-Words, TF-IDF, and basic NLP tasks such as sentiment analysis and text classification. |
| 17 | 22-Oct-25 | Learning from Actions: Reinforcement Learning | Learn how AI makes decisions by trying, learning from feedback, and improving over time. | |
| 18 | 24-Oct-25 | Pattern Mining: Association Rules & Sequential Patterns | Explore how AI finds meaningful relationships and patterns in large datasets (e.g., shopping behavior, sequences). | |
| 7 | FACE IT OFFLINE PHASE (27 Oct – 01 Nov 2025) at FILKOM UB, Malang, Indonesia | |||
| 8 | 19 | 3-Nov-25 | Generative AI | Understand how models like GANs and transformers (e.g., ChatGPT) generate realistic text, images, or other content, and explore their creative and practical applications. |
| 20 | 5-Nov-25 | Privacy-Preserving Technology | Explore technologies that allow AI to work with sensitive data without exposing it, including federated learning, homomorphic encryption, and differential privacy. | |
| 21 | 7-Nov-25 | AI in Healthcare | See how AI is applied to diagnose diseases, monitor patients, and predict treatment outcomes. | |
| 9 | 22 | 10-Nov-25 | AI in Agriculture & Environment | Learn how AI supports smart farming, crop prediction, disease detection, and environmental monitoring. |
| 23 | 12-Nov-25 | AI in Transportation & Smart Cities | Discover how AI powers traffic optimization, self-driving vehicles, and urban planning. | |
| 24 | 14-Nov-25 | AI in Biology & Genomics | Understand how AI helps decode genetic data and predict protein interactions in biological research. | |
| 10 | 25 | 17-Nov-25 | AI in Cybersecurity & Networks | Learn how AI detects threats, prevents attacks, and protects digital infrastructures. |
| 26 | 19-Nov-25 | AI Ethics | Discuss the social, ethical, and legal implications of AI, including bias, transparency, accountability, and responsible AI design. | |
| 27 | 21-Nov-25 | Final Exam | Complete the final assessment and submit project reports if applicable. | |
| Date and time | Subtopic | Lecturer | Note |
|---|---|---|---|
| 19 Sept 2024 13.00-15.00 GMT+7 | Introduction Summer Course | M. Ali Fauzi, S.Kom., M.Kom., Ph.D. | Online |
| 20 Sept 2024 13.00-15.00 GMT+7 | Introduction to Data Driven Decision Making | Mochamad Chandra Saputra, S.Kom., M.Eng., M.T., Ph.D. | Online |
| 26 Sept 2024 13.00-15.00 GMT+7 | Data Visualization Part I | Dr.Eng. Fitra Abdurrachman Bachtiar, S.T., M.Eng. | Online |
| 27 Sept 2024 13.00-15.00 GMT+7 | Data Visualization Part II | Ir. Nanang Yudi Setiawan, S.T., M.Kom. | Online |
| 30 Sept- 4 Oct 2024 | Mid Term Evaluation | - | Online |
| 6 -11 Oct 2024 | Offline Session | - | Offline at Faculty of computer science, Universitas Brawijaya, Malang, Indonesia |
| 17-Oct-24 13.00-15.00 GMT+7 | Data Analysis and Interpretation Part I | Dr. Ir. Lailil Muflikhah, S.Kom., M.Sc. | Online |
| 18-Oct-24 13.00-15.00 GMT+7 | Data Analysis and Interpretation Part II | M. Ali Fauzi, S.Kom., M.Kom., Ph.D. | Online |
| 24-Oct-24 13.00-15.00 GMT+7 | Data Analysis and Interpretation Part III | Welly Purnomo, S.T., M.Kom. | Online |
| 25-Oct-24 13.00-15.00 GMT+7 | AI Practical Applications and Case Studies for Decision Making Part I | Rizal Setya Perdana, S.Kom., M.Kom., Ph.D. | Online |
| 31-Oct-24 13.00-15.00 GMT+7 | AI Practical Applications and Case Studies for Decision Making Part II | Putra Pandu Adikara, S.Kom., M.Kom. | Online |
| 1-Nov-24 13.00-15.00 GMT+7 | AI Practical Applications and Case Studies for Decision Making Part III | Rizal Setya Perdana, S.Kom., M.Kom., Ph.D. | Online |
| 4-8 Nov 2024 | Final Evaluation | - | Online |
Contact
- Website: https://filkom.ub.ac.id/face-it/
- Email: iro.filkom@ub.ac.id
- Instagram: @iro.filkom
© 2025. FACE IT. Fakultas Ilmu Komputer
