Students Dating College Professors

Students Dating College Professors While relationships between students and professors arent unheard of, they can be a source for all kinds of problems. A professor is in a position of authority over a student, whether or not he or she is that students teacher or supervisor, which makes any dating arrangement tricky at best. Ultimately, if the two are consenting adults (theres no scenario where its OK for a high school teacher to date a current student), theres not much anyone can do to prevent them from pursuing a romantic relationship. But expect there to be consequences. Is It OK for College Students and Professors to Date? First things first: A student must be 18 years old to legally be able to consent to a relationship with an adult. Beyond that, some schools have specific rules about what to do if a student and a professor want to pursue a romantic relationship. If thats the case at your institution, know that the answer to your dating question lies in the faculty and/or student handbook. Breaking those rules could jeopardize the professors job and the students status. What to Do If Your School Has No Policy If youre at an institution where there arent official rules about dating, there are most likely some guidelines or unofficial community expectations. Is it frowned upon? Is it OK to date a professor, so long as youre not in one of his or her classes? Be aware that even if youre not breaking any rules, your relationship, and how its perceived could cause problems. Even if the professor isnt the students teacher when the relationship starts, problems could arise if the student ends up in the professors class later on. As a member of the faculty, the professor holds power over the student. Many schools discourage professor/student dating for these reasons. Additionally, other students may perceive a student dating a professor as having an unfair advantage. If youre dating a professor whose classes you take, students may think youre getting special treatment or grades you havent earned, no matter if you actually are. Say your professor/partner tutors you in a subject youre struggling with or helps you figure out which classes to take and get you the classes you need. From your perspective, youre just enjoying the benefits of a nice relationship. But its unfair to other students, who dont have the same access. A student dating a professor should be prepared for tension with peers, as they may envy the inside access to the faculty world. What If It Doesnt Work Out? Dating a professor can have tricky long-term consequences. If you break up, you may still have to see each other regularly around campus or, worse, in class. All those questions about fairness the relationship initially raised will remain, only the student may now be at a disadvantage, with his or her ex having power over grades and reputation with other faculty members. The student could potentially damage the professors reputation as well if he or she shares details of the relationship. Ultimately, you both need to consider the rules and have a discussion about the potential risks of a relationship. Be sure that its worth it because the costs could be severe.

Ai - Edge Of Excellence Essays - Artificial Intelligence

Ai - Edge Of Excellence Essays - Artificial Intelligence Ai - Edge Of Excellence Running head: The Edge of Excellence The Edge of Excellence Kathleen P. Munn Community College of Philadelphia Recently, the media has spent an increasing amount of broadcast time on new technology. The focus of high-tech media has been aimed at the flurry of advances concerning artificial intelligence (AI). What is artificial intelligence and what is the media talking about? Are these technologies beneficial to our society or mere novelties among business and marketing professionals? Medical facilities, police departments, and manufacturing plants have all been changed by AI but how? These questions and many others are the concern of the general public brought about by the lack of education concerning rapidly advancing computer technology. Artificial intelligence is defined as the ability of a machine to think for itself. Scientists and theorists continue to debate if computers will actually be able to think for themselves at one point (Patterson 7). The generally accepted theory is that computers do and will think more in the future. AI has grown rapidly in the last ten years chiefly because of the advances in computer architecture. The term artificial intelligence was actually coined in 1956 by a group of scientists having their first meeting on the topic (Patterson 6). Early attempts at AI were neural networks modeled after the ones in the human brain. Success was minimal at best because of the lack of computer technology needed to calculate such large equations. AI is achieved using a number of different methods. The more popular implementations comprise neural networks, chaos engineering, fuzzy logic, knowledge based systems, and expert systems. Using any one of the aforementioned design structures requires a specialized computer system. For example, Anderson Consulting applies a knowledge based system to commercial loan officers using multimedia (Hedburg 121). Their system requires a fast IBM desktop computer. Other systems may require even more horsepower using exotic computers or workstations. Even more exotic is the software that is used. Since there are very few applications that are pre-written using AI, each company has to write it's own software for the solution to the problem. An easier way around this obstacle is to design an add-on. Neural networks have entered the spotlight with surprisingly successful results. A neural network is a type of information processing system whose architecture is similar to the structure of biological neural systems (Butler and Caudill 5). The neural network tries to mimic the way a brain and nervous system work by analyzing sensory inputs and calculating an outcome. Before it can be used a neural network must be trained. Some can learn by themselves, some require training by doing, and others learn by trial and error. A computer learns by naturally associating items the computer is taught and grouping them together physically. Additionally, a computer can retrieve stored information from incomplete or partially incorrect clues. Neural networks are able to generalize categories based on specifics of the contents. Lastly, it is highly fault tolerant. This means that the network can sustain a large amount of damage and still function. This type of system is inherently an excellent des ign for any application that requires little human intervention and that must learn on the go. Created by Lotfi Zadeh almost thirty years ago, fuzzy logic is a mathematical system that deals with imprecise descriptions, such as new, nice, or large (Schmuller 14). This concept was also inspired from biological roots. The inherent vagueness in everyday life motivates fuzzy logic systems (Schmuller 8). In contrast to the usual yes and no answers, this type of system can distinguish the shades in-between. This system provides a smart light that can decide whether a traffic light should be changed more often or remain green longer. In order for these smart lights to work the system assigns a value to an input and analyzes all the inputs at once. Those inputs that have the highest value get the highest amount of attention. Another promising arena of AI is chaos engineering. The chaos theory is the cutting-edge mathematical discipline aimed at making sense of the ineffable and finding order among seemingly random events (Weiss 138). The theory came to life in 1963 at the Massachusetts Institute of Technology. Edward Lorenz, who was frustrated with

Themes And Ideologies In The American Society Case Study - 1

Themes And Ideologies In The American Society - Case Study Example In Hollywood, the outlaw hero’s view of civilization is portrayed as a life in marriage with a woman. A woman helps a man to settle down and attain calmness in his life. Only those women that allow their husbands to proceed with their self-determined and adventurous lives are deemed as female outlaw heroes. In terms of characterization, the outlaw hero is seen to be against societal standards and in preference of defining justice at the individual level and not by the society’s collective law. Contrary to this, the official hero is more modernized, civilized, and quaint. In his description, Robert Ray points out that the official hero may be portrayed as a lawyer, teacher, farmer, politician, or family man. In this case, the official hero represents collective action as part of the American belief and the legal processes that replace individual definitions of right or wrong. As such, this is the kind of hero that each parent wants their children to grow up to be one who embraces law in solving life’s injustices. This paper review the description made by Robert Ray concerning how Hollywood portrays the competing values of the official hero and the outlaw hero. The outlaw hero is depicted as childish and having the tendency of tantrums, whims, and emotional decisions that have been derived from the cult of childhood among Americans(Ray, 1985). Ray reviews Fielder’s observation of how American literature tends to uphold the view that an individual that falls short of adulthood is guaranteed innocence and insight. American literature offered privileges to children, and they were not confined by societal rules. Such a notion set in motion the outlawed actions as related to daily affairs. According to Fielder, the developed childhood image has created a new approach to adult life outside the law, yet permissible in society.