Mathematics for AIoT
Training Provider: SINGAPORE UNIVERSITY OF SOCIAL SCIENCES
Course Reference: TGS-2026061641
S$792
Original: S$2,640
Save S$1,848
About This Course
This course introduces key mathematical concepts essential for Artificial Intelligence (AI) and Internet of Things (IoT) applications, with a strong focus on hands-on learning using Python. Topics include linear algebra (vectors, matrices, eigenvalues), probability and statistics (random variables, distributions, inference), and optimisation techniques (gradient methods, duality, linear programming). The course provides opportunities to apply theory through practical exercises using Python libraries such as NumPy, SciPy, and Pandas, building foundational skills for data-driven and intelligent systems.
What You'll Learn
1. Solve problems involving linear systems, vector spaces, and matrix operations relevant to AI and IoT applications.
2. Appraise concepts of eigenvalues and eigenvectors to practical scenarios in machine learning.
3. Demonstrate understanding of probability theory, random variables, and probability distributions to model uncertainty in data.
4. Draw conclusions from data and assess the reliability of AIoT models through statistical inference techniques to
5. Formulate and solve unconstrained and constrained optimisation problems using gradient-based methods and linear programming.
6. Set up Python programs utilising libraries such as NumPy and SciPy to implement mathematical models and algorithms fundamental to AIoT systems.
2. Appraise concepts of eigenvalues and eigenvectors to practical scenarios in machine learning.
3. Demonstrate understanding of probability theory, random variables, and probability distributions to model uncertainty in data.
4. Draw conclusions from data and assess the reliability of AIoT models through statistical inference techniques to
5. Formulate and solve unconstrained and constrained optimisation problems using gradient-based methods and linear programming.
6. Set up Python programs utilising libraries such as NumPy and SciPy to implement mathematical models and algorithms fundamental to AIoT systems.
Entry Requirements
undergraduate degree or an equivalent qualification
Course Details
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