AI-510: Fundamentals of Data Science
Objective
This course covers data analysis methods that recognize trends and patterns in data. The course will cover scientific computing and the basics of statistics and machine learning focused on supervised learning. Machine learning has a variety of applications, including exploring data analysis and searching the properties of intelligent systems. Throughout, the emphasis will be on classification, regression, and model fitting. General specifications:
12-week program 3 + 2 hours per week
Contents
12 modules including lecture notes and project workbooks cover the following topics: 1. Scientific Computing and Libraries
2. Basics of statistics
3. Introduction to Machine learning and supervised learning
4. Regression
5. Clustering and kNN
AI-520: Advanced Data Science
Objective
The objective of this course is to develop the students’ AI skills through hands-on and project-based learning. The course will cover the gamut of concepts and applications relating to machine learning and deep learning. General specifications:
12-week program 3 + 2 hours per week
Contents
12 modules including lecture notes and project workbooks cover the following topics: 1. Unsupervised learning, k-Mean method
2. Logistic regression
3. Support vector machine
4. Deep learning
5. Reinforcement learning
AI-530: AI Projects
Objective
Participants should draw upon their internships or work experiences to identify real-world industrial projects and develop solutions to them. Participants will commence by working on three predefined projects and finish by proffering innovative solutions to their real-world projects. General specifications:
12-week program 3 + 2 hours per week
Contents
4 project-modules including lecture notes and project workbooks as follows:
1. Project 1: Applications of NLP
2. Project 2: Applications of image processing
3. Project 3: Applications of voice recognition
4. Project 4: Real-world application
FT-510 Blockchain Technologies
Objective
The objective of this course is to provide an overview of the concept, technology, and impacts of blockchain and its applications.General specifications:
12-week program.3 hours per week.
Coursework includes projects and case studies.
Contents
1. Intro to cryptography & cryptocurrencies.2. Overview of consensus protocols.
3. Bitcoin nuts and bolts.
4. Proof of Work and mining strategies.
5. Proof of Stake .
6. Managing and protecting crypto assets.
7. Mining attacks.
8. Cross-chain transactions .
FT-520 FinTech
Objective
The objective of this course is to provide an overview and describe the major areas in FinTech, including money and payment, digital finance, and alternative finance. The course will also examine major technological trends, including cryptocurrencies, Blockchain, AI, and Big Data.General specifications:
12-week program.3 hours per week.
Coursework includes projects and case studies.
Contents
1. Introduction to FinTech .2. Digital Finance & Alternative Finance.
3. Payment, Cryptocurrencies, & Blockchain.
4. Distributed Ledger Technologies, & Enterprise Blockchain.
5. FinTech Regulations, & RegTech.
6. Rise of TechFin.
7. Data & TechFin.
8. The Future of Data-Driven Finance.