Time management training must focus on practical issues and actual experiences particular to the trainees because theories and advises made will not be easily implemented if it deviates from that. While time management training is popular anywhere in the world and trainees sincerely wants to adopt its principles, many training programs can fail when advises talks of generalities and less on the actual realities of the worker. 7 hours x 7 days = 49 hours - Lecture and lab time per week = 25 hours - Personal necessities (eating, grooming, hygiene, etc) = 2 hours a day x 7 = 14 hours - Study time at one hour per subject (average) = 25 hours - Other students will need short naps between classes. Some students do not need in between naps. Knowing that one is competitive raises creativity and a sense of well being. Increase satisfaction People who have effective management skills are recognized for the good contributors that they are and are richly rewarded because management is always on the lookout for people who have proven discipline paths that can be replicated. If the threat can be remedied on, the threat can decrease dramatically. Threats can come in many forms. The possible loss of a job, noise, change of surroundings, relationships going bad, fear, problems with other people and even the things that we imagine can cause stress. Aside from identifying the things that causes stress, stress management will include a good introspection on how we cope with it. Out of that take away all the time that you will need for sleep and rests, meals, personal things, errands and all those things that you can not do without. And with that I do not mean the TV, the telephone and the chitchat - yet. - If you are like most students, there is a good chance that you are left with about 85 hours. Real time data management can be traced for sometime back although today the need for it makes it more common place. To adopt to the future of real time data management computing requirements, database architects are aiming to design systems that could handle data changes at 50,000 times per second supported by 10 terabyte databases operating on near zero latency.