#signatureassignment

I completed about 10 signature assignments at NCU. One of those signature assignments was prepared from Georgetown, Guyana - the signature assignment on IKEA Operations (prepared for the Business Environment course). I traveled to Guyana five years ago after my ordeal in New York. I completed most of the assignments for the course in New York. I had two assignments left, the week 7 assignment and the signature assignment (see http://fmoorephdbus7110.blogspot.com/2018/10/different-location-no-problems.html?m=0).

I had an interesting memory item from Facebook today (the system selects/retrieves a past post based on today's date). The memory item reminded me of the concept map I prepared showing how concepts from my signature assignment on employee monitoring connect. I thought of a diagram because I had trouble staying within the word limit for a section of the paper.

Link to diagram: http://fmooreconceptmapmonitoringperformance.blogspot.com/

My previous post (the post added earlier today) made me think of the first signature assignment I prepared at NCU, which was on online reviews. While preparing that signature assignment, I learned that a consumer review is considered more believable if it is balanced or neutral. One-sided reviews are not as believable. The analysis provided additional information on why a review may be one-sided. A review may be one-sided or biased because of the reviewer’s field of specialization, beliefs, or background/experiences. The motivation for some of the reviews seemed to be to contribute to the discussion or add their “two cents. The intent was not always clear. It is interesting that the concept map I prepared as a step towards the signature assignment – based on selected papers in the literature – did not provide much information on intent. (Link to concept map: https://fahmeenaodetta.blogspot.com/2022/06/signature-assignment-on-online-reviews.html)

I found an article (research) on the PhD experience. I did not know there was research on this.

I am reminded of database courses I completed at NCU. I learned a lot. I learned about data mining, OLAP, knowledge management, and data protection/loss.

For the database administration and management course, MIS 7002, I needed to prepare a signature assignment. It required me to prepare a 12-page organizational intelligence policy. I was proud of this assignment.

There was a paper on the knowledge and skills needed for specific database positions (by different database professionals or people who work with databases). I need to think about these issues for my situation.

One of the papers I prepared during the course was similar to a document I prepared on an audit project at Grant Thornton. I pulled together the federal and state regulations/rules, standards, and policies that pertain to data protection.

There was a presentation on data mining (https://youtu.be/H4crCeJegGY). I recall that I used my background to select data mining examples. Under-the-hood information on this assignment (in the course blog) reminded me that I prepared it in the computer lab for residents of my Gainesville apartment community (http://fmooredbadminmngtsiga.blogspot.com/2016/10/assignment-submitted.html). Posts and pictures in the blog bring back a lot of memories. I recall the cover photo / header picture that I designed for my social media accounts. My photos of a small cathedral-like church in Gainesville are shown. I stopped taking food to the lab. (http://fmooredbadminmngtsiga.blogspot.com/2016/09/searching-for-additional-papers.html, http://fmooredbadminmngtsiga.blogspot.com/2016/09/update.html)

I prepared a presentation on an example of failed decision-making at Amazon. (Link to presentation: https://youtu.be/0BHOs4FlLcg)

I first learned of recommendation systems during my first literature review course at NCU. The topic was online reviews and recommender systems were one type of system connected with online reviews. I included some information in my paper on these systems that made recommendations to users. I thought they added a lot of value (were very helpful and useful to the consumer). Today, I learned of recommendation systems for music. I found several papers on systems that use different approaches to recommend music to users. How interesting! I would like to personally test these systems.

A Music Recommendation System Based On Psychotherapy By: Zhiyuan Liu, Wei Xu, Wenping Zhang, Qiqi Jiang https://www.sciencedirect.com/science/article/pii/S277256932300097X

I am all EARS: Using Open Data And Knowledge Graph Embeddings for Music Recommendations By: Niels Bertram, Jürgen Dunkel, Ramón Hermoso https://www.sciencedirect.com/science/article/pii/S0957417423008497