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Graduate Homework & Projects

choc_covid19_mi3

fall2019-helloworld

hello-world

Using the tutorial

hw1

Programming Assignment 1: C++ Review

hw2_gameoflife

hw3_syntaxchecker

Write a C++ program that uses a stack to analyze source code written in any language (C, C++, Lisp…you name it) and report the location of any mismatched delimiters. For this assignment, delimiters are defined to be: ( ) { } [ ]

hw5_databasebst

In this assignment, you will push your C++ skills to the limit by implementing a simple database system using binary search trees. Though the end product will be a far cry from Oracle or MySQL, your DB will allow the user to insert, delete, and query data. The data itself will be persistent (stored on disk), so that you may process it over several sessions. The DB itself will contain data that would be commonly found in a university’s computer system. In our case, this information consists of student and faculty records. The information for each will be stored in its own tree (or “table” in DB terminology). Though I will provide you with a general outline of the program, many of the implementation details will be up to you. In the same spirit, I will give you a point in the right direction as far as some of the C++ techniques go, but it will also be your responsibility to research the techniques in more detail.

hw6_sortingalgorithmtimes

We’ve learned several sorting algorithms, as well as which algorithms are “asymptotically” better than others. But though it is important to know that, on paper, a O(n2) algorithm runs slower than a O(n lg n) algorithm, it is also important to realize just how drastically these algorithmic choices can effect your program’s performance at run time. To drive this point home, the (simple) assignment for this week is to implement 4 sorting algorithms and time them on large input.

kneed

Knee point detection in Python :chart_with_upwards_trend:

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pca

pca is a python package to perform Principal Component Analysis and to create insightful plots.