Debugging 101
Note to reader: this post was written before students had access to VS Code and its associated debugging capabilities. Consequently, some valuable debugging tools like breakpoints are not covered in the post.
Eurisko
Latest posts
Depth-First and Breadth-First Search
To understand what depth-first and breadth-first search are, we must first know what graphs and directed graphs are. A graph is a set of objects (often called nodes) that are connected to each other. A pair of nodes is called an edge, and edges make up the “structure” of a graph. Put simply, a graph is a set of nodes and edges. A directed graph is a special instance of a graph. The difference is…
Efficiently Computing the Determinant of a Matrix, Part 1: Determinant by Cofactors
Note: This post is part 1 of a 2-part series: part 1, part 2.
Efficiently Computing the Determinant of a Matrix, Part 2: Determinant by Elementary Row Operations
Note: This post is part 2 of a 2-part series: part 1, part 2.
Learning to Debug
Note to reader: this post was written before students had access to VS Code and its associated debugging capabilities. Consequently, some valuable debugging tools like breakpoints are not covered in the post.
Simulating a Biological Neuron Using the Hodgkin-Huxley Model
To understand the Hodgkin-Huxley model, we must first understand what a neuron is. A neuron is a type of cell that is most prominently found in nerves and the brain, and neurons the primary building blocks of the nervous system. Neurons are connected by synapses, which allow signals to be sent and received rapidly and precisely.
The Ultimate High School Computer Science Sequence: 9 Months In
The Eurisko sequence started during the summer of 2020 with an initial cohort of 5 high school students, all aged 15-16 years old and entering their junior year (11th grade). The content of this sequence similar to what would be covered in upper-level undergraduate courses (e.g. data structures/algorithms ranging from linked lists & sorting algorithms to graphs & traversals), and some content may…
Linear and Logistic Regression, Part 1: Understanding the Models
Note: This post is part 1 of a 3-part series: part 1, part 2, part 3.
Linear and Logistic Regression, Part 2: Fitting the Models
Note: This post is part 2 of a 3-part series: part 1, part 2, part 3.
Linear and Logistic Regression, Part 3: Categorical Variables, Interaction Terms, and Nonlinear Transformations of Variables
Note: This post is part 3 of a 3-part series: part 1, part 2, part 3.