Repository specifically for tcss503-22-wi Students

Overview

TCSS503: Algorithms and Problem Solving for Software Developers

Course Description

Introduces advanced data structures and key algorithmic techniques used in solving software engineering problems, such as trees, graphs, breadth/depth first searches, divide and conquer, greedy algorithms and dynamic programming. Learn how to analyze a problem and incorporate advanced data structures into the software implementations.

Repository Structure

./JupyterNotebooks/ Will contain sample, interactive files that can be run in Jupyter to give students additional insights into course content. Notebooks will be add throughout the course.

./SampleCode/ Will contain sample python scripts that can be ran independently. There will be a some overlap with the code in JupyterNotebooks, but there may be sample code in this folder that does not exist as a .ipynb file.

Owner
Kevin E. Anderson
Kevin E. Anderson
GUI for the Gammu library.

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Gaia: a chrome extension that curates environmental news of a company

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Tracing and Observability with OpenFaaS

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sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.

sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.

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You will need to install a few python packages for this one.

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A good Tool to comment on xmw

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Source-o-grapher is a tool built with the aim to investigate software resilience aspects of Open Source Software (OSS) projects.

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An OrpheusDL Tidal module

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