Artificial Intelligence is a research area that aims at artificially creating intelligence like humans. In recent years, artificial intelligence was successfully applied to various domains with the advances on machine learning and deep learning utilizing big data and computation power. This lecture expects students to acquire knowledge that is essential for creating applications of artificial intelligence, explaining basic concepts and theories of artificial intelligence.
Students will be able to acquire knowledge that is essential for creating applications of artificial intelligence.
classification, regression, gradient-based method, perceptron, activation function, backpropagation, automatic differentiation, convolutional neural network
|✔ Specialist skills
|✔ Intercultural skills
|Critical thinking skills
|✔ Practical and/or problem-solving skills
Lectures are given by Zoom.
|Artificial Intelligence applied to the real world
|Essential Mathematics for Machine Learning
|Linear Algebra, Probability Theory and Statistics, Calculus
|Loss function, empirical risk minimization, overfitting，regularization，bias and variance，linear model (regression)，ridge regression
|Linear model (classification)，logistic regression, gradient methods
|Single-layer Neural Network
|single-layer perceptron, activation functions, computational graph, automatic differentiation
|Multi-layer Neural Network
|multi-layer perceptron, hidden units, backpropagation, softmax function
|Convolutional Neural Network
|convolutional neural network, dropout
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Cource materials are distributed via T2SCHOLA.
Based on multiple times of the reports
Basic knowledge of linear algebra, differential and integral calculus, and mathematical statistics is required.
Students of the doctor course is required to register XCO.T679 "Fundamentals of progressive artificial intelligence" instead of XCO.T489 "Fundamentals of artificial intelligence."