TEACHING

Digital Signal Processing​

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DELTA MOOCX Free Online Course

https://univ.deltamoocx.net/courses/course-v1:AT+AT_001_1101+2021_09_13/about

Optimization​

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In this course, unconstrained optimization problems, linear programming, and nonlinear constrained optimization problems are presented. Mathematical derivations and MATLAB simulations are used to analyze and obtain the solutions to these problems. For unconstrained optimization problems, one- dimensional search, gradient, Newton’s, conjugate direction, quasi-Newton methods are presented. For linear programming problems, simplex method is introduced. Last, Lagrange and Karush-Kuhn-Tucker multipliers are presented for solving nonlinear constrained optimization problems.

Robotics​

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This course consists of lectures on the theory of robotics. In the beginning of this course, kinematics, differential motions, and dynamics are reviewed. Also, trajectory planning and motion control. Last, actuators and sensors are mentioned.

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https://univ.deltamoocx.net/courses/course-v1:AT+AT_010_1101+2021_09_13/about

智慧機器人學 Intelligent Robotics​

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ITRI College + Non-free course

https://collegeplus.itri.org.tw/courses/intelligence_robotics/

Machine Learning​

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瞭解Python程式語言於機器學習應用，以及機器學習的理論背景、評估如何使用適當的演算法於實際例子、內容包括回歸分析於資料預測、資料維度減少方法於資料特徵提取、資料分類方法包括支援向量機與類神經網路方法。課程主要配合Python例子增進學員了解機器學習的相關知識與提升在資訊處理時代之競爭力。

Neural Network​

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Introduction, layer perceptron, backpropagation network, learning vector quantization, self-organizing map, hopfield neural network, and applications.

Deep Learning​

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Introduction to AI, Python, Tensorflow, CNN, ResNet, RNN and LSTM, RCNN, Fast-CNN & Faster-CNN, Yolo, object detection competition, Autoencoder, VAE, and GAN .