Brief Course Description
1. Course Title:
Machine Learning for Smart City
2. Language of Instruction:
Vietnamese
3. Course Code:
SCM549072
4. Credits:
3
5. Course Objectives:
Understanding Smart Technology: Grasp concepts and trends related to smart cities.
Analysis and Evaluation: Analyze technology applications in urban management. Problem-Solving Skills: Develop critical thinking and problem-solving abilities. Teamwork and Communication: Train teamwork and effective communication skills. Practical Application: Apply knowledge in practice through research projects. Interdisciplinary Integration: Apply knowledge from various fields to address urban challenges.
6. Brief Description of Course Content:
Machine Learning in Smart City explores how artificial intelligence and machine learning algorithms can revolutionize integrated urban management. This course introduces students to fundamental concepts of AI and machine learning in the context of smart cities, covering both supervised and unsupervised learning techniques. Key topics include classification and decision-making methods such as Decision Trees, Artificial Neural Networks, Support Vector Machines, and Random Forest, as well as clustering methods like K-Nearest Neighbors, K-means Clustering, and Gaussian Mixture Models. Students will gain hands-on experience applying these models to real-world urban problems and learn how to develop data-driven solutions across various dimensions of smart city development.