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2:20 PM Tuesdays, Sep 3 - Dec 17, 工一 108

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Instructor: Prof. Jinn-Liang Liu 劉晉良

2024 Fall Course

Introduction to Artificial Intelligence

人工智慧

國立清華大學動力機械工程學系

This course introduces a basic knowledge of supervised

machine learning (an important part of Artificial Intelligence)

from the perspective of Algorithm, Big data, Coding, and

Deployment to autonomous vehicles. The course topics

include deep learning, convolution neural network, recurrent

neural network, generative AI, machine learning theory, software

engineering, and computer programming. Project assignments

provide students hands-on experience on software design of

machine learning models and real-world tests on autonomous

(not fully yet, a research in progress) driving of a Toyota car and

a mobile robot.

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Course Outline

Course Contents

1. Introduction to AI and Machine Learning
2. A Tutorial for ML Beginners
3. Deep Learning
4. Convolutional Neural Network
5. Recurrent and Attention Neural Network
6. Theory of Machine Learning
7. Introduction to Autonomous Operating (AI) System
8. Course Projects: Autonomous Driving of Car or Robot

Prerequisites:

1^st Year Calculus, Physics, Computer Science

(Basic Python, C++, and C)

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Text Books:

Lecture Notes on http//mx.nthu.edu.tw/~jlliu

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Grading Policy:

Reports on Projects 100%

生成式人工智慧倫理聲明 (有條件開放參考範例(1))�Generative AI Ethical Guidelines (Example 1: Conditionally open)

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Course Website: http//mx.nthu.edu.tw/~jlliu

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Demo Videos: car 1, car 2, car 3, robot

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