Notes
Computer Vision
This course introduces Python and OpenCV for computer vision tasks. Learn image and video manipulation, object detection, and deep learning integration. Gain practical skills for real-world applications in robotics, automation, and more.
Introduction to Digital Engineering
This course provides an introduction to data-driven engineering, covering essential programming elements for system implementation, programming methods aiding data analysis, data acquisition, verification, and visualization. Students will also be introduced to fundamental machine learning techniques and data-driven modeling, with practical applications across various engineering fields.
Introduction to Geospatial Data Analytics
This course provides an introduction to geospatial data analytics using Geographic Information Systems (GIS) and Remote Sensing technologies as foundational tools. This course is designed for individuals who are new to geospatial data processing and have a growing interest in data science.
Introduction to Probability and Statistics
This course covers key concepts in descriptive statistics and graphical representation. Topics include measures of central tendency and dispersion, elementary probability, and both discrete and continuous random variables. Students will learn about expectation, as well as the binomial, normal, and Student's t-distributions. The course also addresses large and small sample inference and estimation, culminating in an understanding of the Central Limit Theorem.
Introduction to Python Programming
This course covers fundamental programming concepts using Python, encompassing statements, conditionals, loops, functions, file I/O, debugging, data parsing, display techniques, and library usage.
Linear Algebra
Essential foundation in linear algebra covering systems of equations, matrices, vectors, determinants, and complex numbers. Practical applications in various fields highlighted.
Numerical Analysis
This course covers root-finding algorithms, interpolation, integration, differentiation, linear systems, and numerical ODE solutions for practical problem-solving. Gain vital skills for diverse applications in science and engineering.