Ji Ung Yang's Systems Engineering SYSE 515

There are many things that I learned this week and I would like to use this opportunity to review the simplex method (maximization with problem constraints) that I studied with an example question.  There can be several methods to solve these kind of questions including the traditional ways of solving the problems by hand with equations and graphs. I find this way is also quite useful when approaching the problem. I have attached my note that I made while I was studying the problem and solution. Studying the question with the handwritten solution greatly helped me to understand the concept of the simplex method. Question Suppose a company manufactures different electronic components for computers. Component A requires 2 hours of fabrication and 1 hour of assembly; Component B requires 3 hours of fabrication and 1 hour of assembly; and component C requires 2 hours of fabrication and 2 hours of assembly. The company has up to 1000 labor-hours for fabrication and 800 labor hours of as...

 The past 2 modules were full of essential factors that are necessary in statistics. I would like to take my blog post today as an opportunity to review some of these essential factors. Bernoulli trial The Bernoulli trial is also called the binomial distribution function and it is used to analyse discrete random variables. The basic assumptions of the Bernoulli trial are that: (1) each trial has only two outcomes, either occurrecne or nonoccurrence. (2) the probability of occurrence of any one trial is p, which is the same for all trials. (3) the trials are statistically independent. One of the easy examples is flipping coins. For the example, since the success rate and non success rate are 0.5 and it meets all the conditions that is listed above, the Bernoulli trial can be applied here. However, in a case where there are human drug trials, some may assume that Bernoulli trials can be applied because on the surface it sounds like a binary problem with success or failure as the two ...

We are living in a world where "events" happen all the time and we cannot always predict all the outcomes of the events accurately. However, with probability and statistics, we can predict their outcomes based on the acquired data of the events. Probability and statistics are used widely, not only in modern industries but also other fields such as military, weather, sports, etc. Risk management is one thing that is quite important to be taken into consideration for planning, operation and management of systems. I learned many things this week in the SYSE 515 class. One thing that I particularly liked was Bayes' Theorem. Unlike independent events such as flipping coins or rolling a dice, calculating conditional probabilities can sound more tricky since it can seem as if there is not enough information to solve the problem. Bayes' Theorem is applied here to find out conditional probabilities. Here is an example question from the following website. https://www.investoped...

Hello everybody, My name is Ji Ung Yang, you can call me Ji Ung. I was born in South Korea and I became a U.S. citizen a couple of years ago. I am a new student at Embry-Riddle and working on my first class, SYSE 515. I love playing golf, as well as finding interesting golf clubs, both for their design and aesthetics. Wee, I currently have two full irons set with 5 colourful drivers & two rare putters. I also enjoy bowling as well. I have a Bachelor of Engineering in Metallurgical Engineering and my previous experience includes working as a Human Resources specialist as a KATUSA (Korean Augmentation to the United States Army), an international services coordinator at Yonsei University in Seoul South Korea, and acting as a general secretary of the KATUSA Veterans Association of Washington. I am currently working as a freelance translator, Korean language tutor and volunteering for the Korean branch of the KATUSA veterans association as the administration manager in South Korea. As I...