Search Results for: --------

This course did a great job of emphasizing the importance of user-centric design. Design thinking is a user-centered way of solving problems. Through this course, I learned about the basics of design thinking and the process of making a design into a reality. This course highlighted the importance of change management in effectively tackling barriers to integrate the design mindset into an organization’s culture.

Cybersecurity by User Experience Design

During this semester, we learned lots of aspects related the user design in MIS3506. Our professor, Munir, taught us the importance of user understanding and how it relates to your design.

At the end of semester, I researched some trends for cybersecurity that cyber security specialist can apply to their products/services. I’m interested to be cybersecurity specialist as so this project helped me understand UX design methods as security. I looked into:

• what should be protected?
• security pillars and trends
• privacy by design
• the connection to norman’s concepts

Results:

• Some available security trends such as focusing on microeconomics, maximizing user privacy, privacy policies
• Norman’s concepts: visibility, feedback, affordances, mapping, constraints, consistency.

Here’s the attached presentation of the project: Security by UX

 

The goal of the Write-Up was to research a current topic on Data Analytics that was not extensively discussed in class. For my Write-Up I choose to research the topic of Big Data. Through this assignment, I referenced various sites and gathered information on all things related to Big Data. I learned how Big Data was collected, stored, processed, and utilized. Most importantly, I gained deeper understanding of how Big Data is a powerful tool and offered massive value to organizations as they make decisions and predict future outcomes.

MIS2502 Big Data Write Up

 

1.  The task was for me to evaluate the class website using Norman concepts. I did my evaluation using concepts such as the three levels of processing, gulf of execution, affordance, signifiers, and conventions. I ended up presenting my evaluations to the class using powerpoint. I learned more about how the design of a website can be broken down into certain concepts and how they all inter-relate with one another. The project has opened my eyes to a new perspective when using websites in the future.

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.

Cloud

The goal of this assignment was to research two different topics relating to cloud computing. I explained what they were and how they were important. I also explained how they were relevant to the class and how they were relevant to each other. I learned a lot about what mobile cloud computing was and how switching an app to the cloud could greatly benefit it. Apps could run faster and the storage would be on the cloud and not on the device. I also learned about how cloud computing can become greener and how cloud computing makes companies greener. Cloud computing can cut back on carbon emissions and reduce energy consumption greatly.

 

1. Once approved, the description is automatically displayed in a post on your e-portfolio.

http://misdemo.temple.edu/tuk45129/propoint_covid

Learned how to use .getJSON and jQuery using an API displaying real-time covid data. Then showed statistics such as the country and continent with the most cases, most deaths, most tests using for loops and buttons.

Used API data to create summary statistics for Live Covid Data. Created an HTML form with a button for various statistics. Used JavaScript and CSS. When buttons are clicked, data for each statistic is retrieved from the Web API.

Link to the website: http://misdemo.temple.edu/tuj75099/MIS%20Pro%20Point%20Covid%20Project/Covid%20Data.html

 

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

The goal of this assignment was to dive deeper into data analytics. The assignment asked for a paper explaining a data analytics topic, how this topic related to what we learned in class, and then a real-world example of this topic. Below is my assignment on big data.

Emeline Beck

MIS 2502

11/12/2020

 

The world creates 2.5 quintillion bytes of data per day. Every like on Instagram, text sent, and Google search goes into this number. In fact, 90% of the data in the world was created within the last two years and the volume doubles every two years. This is big data. The true definition of big data is a large volume of data of different varieties (structured and unstructured) coming in at a quick velocity (in real-time). With all this information coming in, companies can organize it to make well rounded projected business decisions. Some ways businesses use big data is marketing, expansion, and time and cost-efficiency. Big data is first gathered, then stored, retrieved, and then interpreted to make these important company decisions.

In our course, we got firsthand experience with some of the databases and tools to store and retrieve big data. Big data is also related to our lessons about structured vs. unstructured data. Structured data is pre-defined and formatted to a structure, unstructured data is the opposite, not pre-defined and not formatted. Relational databases are an example of structured data, semi-structured data include CSV, JSON, and XML, while unstructured data is images, text, and documents. Through relational databases like MySQL and MongoDB, big data is sorted and organized so that it can be easily accessed with querys and interpreted to make decisions. The good thing about relational databases is that the information is imported once, which reduces redundancy. Normalization allows each table to be unique, a very important quality when 2.5 quintillion bytes of data circulate every day.

Although almost all companies use relational databases to simplify their data a specific company is Uber. In fact, Uber uses MySQL! Uber says that MySQL allows its operators to use the data stored in the tables, without having to understand the underlying technologies. By using MySQL Uber can access all information about customers and their demographics, as well as their rides and payment. They can also access information about the drivers, their demographics, car details, and all the data in between. With this data, they can make decisions about hiring, improving their direction mapping, and advertising their product.

 

“Big Data: What It Is and Why It Matters.” SAS, www.sas.com/en_us/insights/big-data/what-is-big-data.html.

Itamar Ben Hemo Posted on March 27. “Big Data Statistics: How Much Data Is There in the World?” Rivery, 12 June 2020, rivery.io/big-data-statistics-how-much-data-is-there-in-the-world/.

Shiftehfar, Reza. “Uber’s Big Data Platform: 100+ Petabytes with Minute Latency.” Uber Engineering Blog, 6 Apr. 2020, eng.uber.com/uber-big-data-platform/.

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

The goal of this assignment was to dive deeper into data analytics. The assignment asked for a paper explaining a data analytics topic, how this topic related to what we learned in class, and then a real-world example of this topic. Below is my assignment on big data.

Emeline Beck

MIS 2502

11/12/2020

 

The world creates 2.5 quintillion bytes of data per day. Every like on Instagram, text sent, and Google search goes into this number. In fact, 90% of the data in the world was created within the last two years and the volume doubles every two years. This is big data. The true definition of big data is a large volume of data of different varieties (structured and unstructured) coming in at a quick velocity (in real-time). With all this information coming in, companies can organize it to make well rounded projected business decisions. Some ways businesses use big data is marketing, expansion, and time and cost-efficiency. Big data is first gathered, then stored, retrieved, and then interpreted to make these important company decisions.

In our course, we got firsthand experience with some of the databases and tools to store and retrieve big data. Big data is also related to our lessons about structured vs. unstructured data. Structured data is pre-defined and formatted to a structure, unstructured data is the opposite, not pre-defined and not formatted. Relational databases are an example of structured data, semi-structured data include CSV, JSON, and XML, while unstructured data is images, text, and documents. Through relational databases like MySQL and MongoDB, big data is sorted and organized so that it can be easily accessed with querys and interpreted to make decisions. The good thing about relational databases is that the information is imported once, which reduces redundancy. Normalization allows each table to be unique, a very important quality when 2.5 quintillion bytes of data circulate every day.

Although almost all companies use relational databases to simplify their data a specific company is Uber. In fact, Uber uses MySQL! Uber says that MySQL allows its operators to use the data stored in the tables, without having to understand the underlying technologies. By using MySQL Uber can access all information about customers and their demographics, as well as their rides and payment. They can also access information about the drivers, their demographics, car details, and all the data in between. With this data, they can make decisions about hiring, improving their direction mapping, and advertising their product.

 

“Big Data: What It Is and Why It Matters.” SAS, www.sas.com/en_us/insights/big-data/what-is-big-data.html.

Itamar Ben Hemo Posted on March 27. “Big Data Statistics: How Much Data Is There in the World?” Rivery, 12 June 2020, rivery.io/big-data-statistics-how-much-data-is-there-in-the-world/.

Shiftehfar, Reza. “Uber’s Big Data Platform: 100+ Petabytes with Minute Latency.” Uber Engineering Blog, 6 Apr. 2020, eng.uber.com/uber-big-data-platform/.

The purpose of this assignment was to research a topic relating to data analytics that was not covered thoroughly in class and show that I can understand and describe it. For this assignment, I did a 300-word writeup focusing on NoSQL databases. I learned more about the four different types of NoSQL databases and how they differ from relational databases. Additionally, I was able to research different software used for each of the different types of NoSQL databases and find some real-world examples of when and why they have been used.