CS Online Learning Journal

This was our second week in CST 438 - Software Engineering. Relfection This week we covered the basics of React, which is a Javascript library (using Node.js) that is used to control the information displayed by webpages. It is made up of functions that return HTML elements to the browser, and it is known for having fast performance because it only updates the DOM object with the delta changes, instead of updating the entire thing. In the lab for this week, we built a basic React service that serves as a frontend application for the backend controller that we built during last week's labs. My first impressions of React are that it is a powerful tool to create web services that only take a small amount of code to create. If I were to implement the same service in Express (also using Node.js), which I am more familiar with, I am certain that it would have taken more code to create. That being said, the syntax for React was a little hard to wrap my head around. It requried the use of ...

This was our first week in CST 438 - Software Engineering. Reflection In our first lab for the week, we covered RESTful API, Spring Server, and Java Persistence Architecture (JPA). Although I had heard about RESTful API in the past, I had never used it up until this lab. Although some of the implementation was rather complex, the concepts of the API themselves seemed straightforward, as I was already familiar with how HTTP requests work from another class. I had also briefly learned about JPA in another class. I remembered JPA being complicated and difficult to learn in that class, and it continued to do so in this lab. Although I do feel like I have a better grasp on the architecture after the first lab, I think I will have to practice more to feel comfortable with it. We used Spring Server for both labs one and two. Similar to the  other two APIs/tools, the usage of Spring was complicated, although some of the setup was simplified thanks to this tool . In our second lab we covere...

 This was our seventh week in CST 383 - Data Science. Reflection This week we reviewed ordinal and nominal (dummy variables or one hot) encoding. We discussed a couple of ways to do each in code, and when we want to use one type of encoding over the other. Although we have covered this in previous weeks, it was still helpful to review the topic, as we had to use it during this week's lab. We also discussed logistic regression, which is similar in concept to linear regression but is designed specifically to predict binary, categorical variables. Although linear regression can be made to do this (for example, if we consider all predictions above 0.5 to be True), logistic regression is generally better at it. Although we didn't have much of a chance to explore the regression model during the lab, it appears to be a powerful tool. In one of our textbooks, we also covered in more detail how linear and logistic models are trained. We also covered another similar model, the polynomial...

This was our sixth week in CST 383 - Data Science.  Reflection This week we continued to focus on hyperparameters, which we begun discussing last week. We also covered KNN and Linear regression models, and how we can asses the accuracy of regression models using MSE, RMSE, and MAE. Going through the lecture, the concepts seemed to be relatively straightforward. I didn't feel confused about any of the concepts going into the homework. This feeling continued into the homework. While the portions of the homework that covered this week's concepts weren't necessarily easy, none of them were problematic. One homework topic that gave me problems was One Hot Encoding. We learned about encoding last week, but last week's homework didn't really include it. This week's homework did, and it proved to be the most challenging part by far. It felt like either the reading material wasn't fully explaining how to use the OneHotEncoding object properly, or that I simply wasn...