Teaching

Data Structures (CS61B)

Here’s a compilation of most of my 61B materials from my four times TAing the course.

Intro to Java	Slides dis1.java introductory notes, Java vs Python + git highly recommend this git guide
Pointers	Slides IntList.java Java Pointers and Linked List interactive java visualizer Objects (exam prep) slides
Inheritance	Slides Slides (exam prep) Code Notes on Static vs. Dynamic method selection Casting notes: runtime vs compile time errors
Exceptions, Packages, access modifiers	Slides java access modifiers demo
Iterators and Iterables	Slides Code
Asymptotics	Slides (exam prep)
Disjoint Sets	Slides Spring discussion Slides Question 2.4 Code
LLRBs, Hashing, Heaps	hash tables review Spring disc Slides
Tree Traversals, Tries, KD Trees	Slides Red Black Trees (+skiplists)
Graphs: DFS, BFS, Dijkstra's, A*, Prim's, Kruskal's	Graphs and Graph Algorithms review Video (using above slides) Spring dis Slides Pseudocode: Dijkstra's, A\*, Prim's, Kruskal's
Sorting	Slides: ALL comparison sorts reviewed! + exam prep WS Videos (using above slides) Spring Slides

Algorithms & Intractable Problems (CS 170)

9/6/19: Maximum Subarray Sum in Linear Time
9/27/19: Dis 5 Slides (Dijkstra, Bellman Ford, Greedy Algorithms, MSTs)
Dis 11: Reductions & Complexity Classes
Dis 12: Approximation Algorithms

Intro Python & Programming (CS 61A)

These lessons are interactive and come with programming exercises :)

1. First Python Lesson
   • Getting you familiar with some python power! Expressions, arithmetic, names, and functions
2. Understanding Names + Advanced Functions and Frames
   • Going in depth as to what’s going on when we call functions
   • Plus, boolean logic!

Python Libraries (Data Science)

1. Numpy
   • the building block of data science with python
2. Pandas
   • manage and process your data
3. Matplotlib + Seaborn
   • Data Visualization