carleton
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- Language:JavaScript 7
carleton-spacehogs / bioinformatics-carleton
Lab protocals for Carleton College Bioinformatics, rendered with Sphinx.
Language:Python 2- Language:HTML 2
TedKachulis / COMP2406-Carleton
COMP2406 (2016) Web Development Assignments - Most of this development is done with Javascript & Node.js, leveraging several common libraries. For instructions on execution and testing, please see individual assignment readme.txt files.
Language:JavaScript 2cuhacking / cuHacking-website-2019
The website for cuHacking 2019
Language:Vue 1- KRLXMobileLanguage:Dart 1
rbrtknwls / Carleton-SCSI-2019
Some of the Code from my time at the Summer Computer Science Institute at Carleton
Language:C 1- Language:Java 1
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mitchhird / MTGAssistant
COMP 4905 - Honour's Project
Language:Java 0COMP2402 (2016) Data Structures Assignments - This development was primarily in java, and focused on us recreating more complex collections classes without using available libraries in order to further our understanding. Some things were a little tricky for me, such as the 'treque' assignment - any advice is welcome. Though the syntax of a triple ended queue isn't exactly practical for many cases, it pushed us to understand the core collections classes very much as we built ontop of them to create our own.
Language:Java 0COMP3004 (2016) Final Software Design Project - In this project, out goal was to create a pathing tool to provide students a way to find the fastest route between rooms on campus. Vector images were created as a base map, and rooms were slowly manually inserted as nodes with location data. Pathing would connect these nodes with visible lines, showing a comfortable view of the best path on map, given the user location and destination. After taking a very long time to map tunnels and a few buildings, we (task lead: Alexandre Skipper) created a Python script for quick node mapping by clicking to create nodes on a map image, and having the XML data be automatically generated for the node. This improvement lead to our conclusive demonstration that this is a scalable mapping system for Carleton students. As this was a software design project, there are some design analysis components and presentations found in the below files.
Language:Java 0va9id / carleton-scheduler
Carleton University Scheduling Tool
Language:Python 0Carleton university course work
Language:JavaScript 0- Language:Jupyter Notebook
For the course COMP3008 (2017) at Carleton, my team and I decided to analyze the effectiveness and user response of using a collection of emoji's for iOS authentication rather than a digit or alphanumeric based system. Project involved implementing the demo functionality on iOS, analysis of comparable authentication methods, and a formal report of assessment. I encourage you to read the Project2Report.pdf for user interface scoring, analysis, and screenshots of the working demo on iOS!
Language:Swift- Language:Java
- Language:Python
