CIE Short Course is back!

CIE-SF and UC Santa Cruz (UCSC) Extension join hands to offer the short course covering AI & ML, IoT & Smart Cities, Bioinformatics & Smart Robots, and Metaverse.

All attendees will receive a certificate (0.5 CEU) issued by UCSC Extension for completing each 6-hour course

Syllabus: Please click the link to see more details LINK

Class length: 6 hours per course (3 hours per session)

Schedule:

• [10/22] AI and Machine Learning (Dr. D Fong) (Section I and II)
• [10/29] IoT and Tech for Smart Cities (H Geng) (Section I and II)
• [11/05] Bioinformatics and Smart Robots (Dr. W Du) (Section I and II)

All above class times are 9 AM -12 PM, 1:30-4:30 PM

• [11/12] 9 AM -12 PM The Metaverse (Dr. W Kao) (Section I)
• [11/19] 9 AM -12 PM The Metaverse (Dr. W Kao) (Section II)

The Metaverse course (Section I & II) will be offered on the two dates above

Fee: $60 for the 1st course, and 50% off ($30) for the 2nd and additional courses

Registration: https://tinyurl.com/cieshortcourse

Deadline: Registration closes by 10/15, or upon filling the class. Space is limited. Please register early!

Target audience: Industrial professionals who want to start exploring AI & ML, IoT & Smart Cities, Bioinformatics & Smart Robots, and Metaverse.

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AI and Machine Learning

Syllabus: Please click the link to see more details LINK

Lecturer: Dr. David Fong, CITS Group

David Y. Fong, Ph.D.(方玉山博士) is SVP of CITS Group, Inc., a consulting company focused on technology and professional talent exchange between the US and Asia.

Dr. Fong graduated from the EE Department, National Taiwan University and obtained his Master’s and Ph.D. degrees from University of Cincinnati, Ohio, both in Electrical and Computer Engineering, focusing in AI areas. He taught at Clarkson University, New York, after receiving his Ph.D. degree. Afterwards he went into the high-tech industry, working at various established and start-up companies in Silicon Valley.

Dr. Fong was President of CIE/USA-SF in 2000, Chairman of the Board in 2001, and again President in 2003 and Chairman in 2004. In other services for CIE, he served as Chair for Modern Engineering and Technology Seminar (METS), Sino-American Technology and Engineering Conference (SATEC), and Asian American Engineer of the Year Award (AAEOY). Dr. Fong is also interested in the performing arts. He conducts the Ching Ching Chorus from 1990 to 2010, and the Taiwan University Alumni Chorus since 2005.

Course Description

AI is being applied in almost all industries, and having an overall understanding of AI is essential for future advancement in any industry. This short course introduces AI with the goal of giving the audience of what is AI, what AI can do, and what’s the shortcomings and risks of AI. After the course, the students will have the basic view of how to use AI in their own industry, and have the basic skill of determining how to pursue further studies of AI.

Topics covered

• AI overview and history
• Pattern recognition and machine learning
• Machine learning overview
• Statistical pattern recognition
• Other machine learning protocols
• KNN
• SVM
• Decision tree
• Neural networks and Deep learning
• Neural networks overview
• Deep learning
• Backpropagation
• LSTM
• CNN, GAN, Reinforcement learning
• CNN
• GAN
• Reinforcement learning
• AI in vision and language applications
• Computer vision
• Speech recognition
• Natural language processing
• AI risks and ethics
• AI ethics
• Risks and rewards of AI
• Difficult problems in AI

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Internet of Things and Technologies in Smart Cities

Syllabus: Please click the link to see more details LINK

Lecturer: Mr. Hwaiyu Geng, Amica Research

Hwaiyu Geng, CMfgE, P.E., is the founder of Amica Research that promotes sustainable high-tech and manufacturing programs. He has had over 40 years of diversified engineering and manufacturing management experience, worked with Westinghouse, Applied Materials, Hewlett-Packard, and Intel on international multi-million high-tech projects. He has written and presented numerous technical papers at ASME, IIE, Data Center Dynamics conferences, and is also the author/editor of Manufacturing Engineering Handbook (McGraw Hill, 2e, 2017), Semiconductor Manufacturing Handbook (McGraw Hill, 2e, 2018), Data Center Handbook (John Wiley & Sons, 2e, 2021), IoT & Data Analytics Handbook (John Wiley & Sons, 2017). He is a visionary and patent holder.

Course Description

What is the Internet of things-the general technology of the fourth industrial revolution? How do demographic trends, urbanization, inequality, climate change and technology impact the plan and design of a smart city? This session offers a holistic view of IoT’s anatomy, ecosystem and taxonomy. Based on the framework of a smart city, this session discusses how technologies and other megatrends are being implemented in infrastructures, buildings, telecommunication, government, healthcare, transportation, etc. Use cases illustrate how IoT, AI, Metaverse, 5G, BIM, GIS, blockchain, fintech, DLT, NFT, 3D printing, ITS, CAV, and many more are being applied. The session ends with transformation of the technologies and project management. The following is an outline of the session:

• Introduction & Smart City Pillars (Guiding principles: holistic & heuristic view, megatrends, data analytic, problem-solving approach, creativity, invention, and innovation)
• Under/Above-ground infrastructures (IoT, GIS, sensors, edge/cloud computing, SCADA, circular economy, etc.)
• Building (Building info management, digital twins, 3D Scanning, etc.)
• Telecommunication (5G, community network, cybersecurity)
• Government (Metaverse, DLT, blockchain, NFT, AI, flying taxi, ITS, C-V2X, CAV, fuel cell, etc.)
• Smart City Ecosystem (Healthcare, EMR/EHR, SOAP, VR/AT/MR, Robotics, FinTech, 3D Printing, etc.)
• Transformation and project management (Strategy, business model, project management triangle, vendor selection matrix, RACI, PERT, etc.)

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Bioinformatics and Smart Robots

Syllabus: Please click the link to see more details LINK

Lecturer: Dr. Winncy Du, San Jose State Univ. (SJSU)

Dr. Winncy Du is a professor with Mechanical Engineering Department at San Jose State University. She is also the director of Robotics, Sensor, Machine Intelligence Lab and a visiting professor of MIT. She received her PhD & MS degrees from Georgia Tech, her 1st MS from West Virginia University and BS degrees from Jilin University, China. She holds a PE license and is an American Society of Mechanical Engineers (ASME) fellow and an IEEE senior member. She is the sole author of the textbook “Resistive, Capacitive, Inductive, and Magnetic Sensor Technology & Principles” and a contributor of other two sensor books. She is a PI/co-PI of 20+ research grants and the leader of 100+ industry sponsored projects. She has taught 17 different courses range from AI, robotics, sensors, control, mechatronics, biomechanics, to dynamics. Her has received three College of Engineering awards and five ASME awards.

Topics covered

• Sensors and biomedical instrumentation
• Bioinformatics
• AI in biomedical data acquisition, processing and storage
• Biomedical robotics

Course Description

9-12 AM: Introduction to Bioinformatics

By 2029, the U.S. will add more than 8,000 new bioinformatics jobs. Current average salary on bioinformatics is over $170,000 a year. This short course would help you to fill these roles and join this growing workforce.

• Bioinformatics: What is Bioinformatics? Its relation with Biotechnology and other life sciences subjects along with its applications. Its interdisciplinary feature: computer science, mathematics, molecular biology, genetics, and statistics and other domains.
• Essentials in Bioinformatics: DNA Sequencing Techniques, Tools and Methods in the Analysis of Simple Sequences, Structural Bioinformatics (protein structure), and Functional Bioinformatics (FunctionalGenomics).
• Bioinformatics Databases- An introduction to different databases that are used in basic bioinformatics. E.g.: NCBI, PubMed, PubChem etc.

1:30-4:30 PM Intelligent Robotics

This course provides key insights into Industrial Robotics and a real understanding of how to apply artificial intelligence to automated processes using industrial robots.

• Introduction: Types of industry robot (Robotic arms), major configurations, and applications.
• Robot Kinematics & Dynamics: forward kinematics (coordinate system assignment, D-H parameters and table), inverse kinematics, Jacobian, velocity, dynamics equations, and trajectory design.
• Smart Sensors in Robots: Machine vision systems, tactile sensors, ultrasonic sensors, etc.

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All about The Metaverse: What, Why, Who, Where, When and How

Syllabus: Please click the link to see more details LINK

Lecturer: Dr. William Kao, UC Santa Cruz (UCSC) Extension

Dr. William Kao received his BSEE, MSEE and PhD from the University of Illinois Urbana-Champaign. He worked in the Semiconductor and Electronic Design Automation industries for more than 30 years holding several senior and executive engineering management positions at Texas Instruments, Xerox Corporation, Cadence Design Systems.

Dr. Kao has authored more than 40 technical papers on IC CAD at IEEE Journals and Conferences, and holds eight USA software and IC design patents. He was an Adjunct Professor at UCLA Electrical Engineering Department where he taught courses in computer aided IC design.

Dr. Kao currently teaches Clean Technology and Emerging Technology courses at the University of California Santa Cruz, Silicon Valley Extension.

Course Topics covered

• What is the Metaverse? Definition, History
• Key Elements and Characteristics of the Metaverse
• Technologies involved in the Metaverse: Augmented. Virtual and Mixed Realities AR/VR/MR, Blockchain, Crypto Currencies, Non-Fungible Tokens (NFTs)
• Why, The Need for the Metaverse? Benefits of the Metaverse.
• Top Metaverse Use Cases: Education, Retail, Gaming, Tourism, Workplace, Fashion, Real Estate, Advertising, Entertainment (virtual concerts, events), Sports
• Who, Key Companies involved in the Metaverse: Facebook (now Metaverse), Apple, Amazon, Microsoft, Nvidia, Roblox, Walmart, Netflix, Nike, Unity, Fortnite
• How the Metaverse will work, how to enter into the Metaverse.
• Metaverse Challenges, Issues and Concerns
• Conclusion, Key Takeaways, The Future of the Metaverse