Executive Certificate in SmartCity Executive Training

SET

To be announced

This course provides an introduction to what is the blueprint of a Smart City with technology concentration on: Digital Assets, Virtual Currency, Blockchain Technology, and Data Analytics. Students will gain a basic understanding of the underlying technology concepts and their practical applications. The course explores the principles, applications, and challenges associated with digital assets, virtual currency, blockchain, and data analytics.

About the Course

Course Time: 18:30 - 21:30 with 2 breaks

Enrolment: To be announced in March 2024

Commencement: To be announced in May 2024

Course Schedule

Class Duration: 2 evening classes per week with 3 hours per class

Total Duration: 4 lectures (3 hours each) with a total of 12 hours

Assessment Methods

Part A: Individual or group case study to assess understanding of Data Analytics (50%).

Completion Requirements: Final score is no less than 50 and class participation and attendance no less than 70%

Course Language

English, Cantonese

Mode of Study

Face to face

Venue

Lingnan Union Park Centre, 771-775 Nathan Road, Prince Edward, Kowloon

Course Structure

course 2 structure

Course Syllabus

Lecture-1: Introduction to Digital Assets and Virtual Currency

Overview of digital assets and virtual currency
Basic concepts of cryptocurrencies and their uses
Introduction to blockchain technology and its relevance to digital assets
Blockchain Technology Fundamentals
Introduction to popular cryptocurrencies (e.g., Bitcoin, Ethereum)
Use cases and real-world applications of cryptocurrencies
Overview of cryptocurrency wallets, exchanges, and transactions

Lecture-2: Security Challenges, Best Practices & Compliance Issues in the Digital Assets and Virtual Currency

Privacy concerns and solutions in blockchain technology
Introduction to cryptographic techniques used in digital assets
Case Studies and Future Trends

Lecture-3: Introduction to Blockchain, Smart Contract and Cyper Security

Analyzing transaction data on the blockchain
Understanding the transparency and security of blockchain data
Introduction to Smart Contracts
Understanding blockchain architecture and components
Consensus mechanisms and cryptographic principles
Exploring different types of blockchains (public, private, permissioned)
Cryptocurrencies and Their Applications
Basics of smart contracts and their benefits
Overview of smart contract platforms (e.g., Ethereum)
Use cases and potential applications of smart contracts
Security and Privacy Considerations

Lecture-4: Introduction to AI, Big Data and its Applications

Introduction to data analytics and its importance in the digital assets space
Data collection, cleaning, and preprocessing techniques
Basic exploratory statistical data analysis techniques for digital assets
Basic of machine learning and deep learning
Algorithm for machine learning and data mining: Decision Tree, Random Forest, Dimension Reduction, Clustering, Regression, CNN, RNN….etc

Course Calendar