The Thesis/Dissertation Defense
Next thesis defense to be announced…
8. Read through someone else's research proposal. Very oftena real stumbling block is that we don't have an image in our mind of whatthe finished research proposal should look like. How has the other proposalbeen organized? What are the headings that have been used? Does the otherproposal seem clear? Does it seem to suggest that the writer knows thesubject area? Can I model my proposal after one of the ones thatI've seen? If you can't readily find a proposal or two to look at, askyour adviser to see some. Chances are your adviser has a file drawer filled withthem.
e. What if you have the opportunity for conducting your researchin conjunction with another agency or project that is workingin related areas. Should you do it? Sometimes this works well, but mostoften the dissertation researcher gives up valuable freedom to conductthe research project in conjunction with something else. Make sure thetrade-offs are in your favor. It can be very disastrous to havethe other project suddenly get off schedule and to find your own research projecttemporarily delayed. Or, you had tripled the size of your sample sincethe agency was willing to pay the cost of postage. They paid for the postagefor the pre-questionnaire. Now they are unable to assist with postage forthe post-questionnaire. What happens to your research? I usually findthat the cost of conducting dissertation research is not prohibitive andthe trade-offs to work in conjunction with another agency are not in favorof the researcher. Think twice before altering your project to accommodatesomeone else. Enjoy the power and the freedom to make your own decisions(and mistakes!) -- this is the way we learn!
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This guide has been created to assist my graduate students in thinkingthrough the many aspects of crafting, implementing and defending a thesisor dissertation. It is my attempt to share some of the many ideas thathave surfaced over the past few years that definitely make the task offinishing a graduate degree so much easier. (This Guide is a companion to the .)
Usually a guide of this nature focuses on the actual implementationof the research. This is not the focus of this guide. Instead of examiningsuch aspects as identifying appropriate sample size, field testing theinstrument and selecting appropriate statistical tests, this guide looksat many of the quasi-political aspects of the process. Such topics as howto select a supportive committee, making a compelling presentation of yourresearch outcomes and strategies for actually getting the paper writtenare discussed.
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19. I must assume you're using some form of word processing on a computerto write your dissertation. (if you aren't, you've missed a major partof your doctoral preparation!) If your study has specific names of people,institutions and places that must be changed to provide anonymity don'tdo it too soon. Go ahead and write your dissertation using the real names.Then at the end of the writing stage you can easily have the computer makeall of the appropriate name substitutions. If you make these substitutionstoo early it can really confuse your writing.
17. The major myth in writing a dissertation is that you start writingat Chapter One and then finish your writing at Chapter Five. This is seldomthe case. The most productive approach in writing the dissertation is tobegin writing those parts of the dissertation that you aremost comfortable with. Then move about in your writing by completing varioussections as you think of them. At some point you will be able to spreadout in front of you all of the sections that you have written. You willbe able to sequence them in the best order and then see what is missingand should be added to the dissertation. This way seems to make sense andbuilds on those aspects of your study that are of most interest to you at any particulartime. Go with what interests you, start your writing there, and then keep building!
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Ph. D. Thesis Defenses - Michigan State University
Abstract: With the increasing availability of mobile robotic platforms, interest in swarm robotics has been growing rapidly. The coordinated effort of many robots has the potential to perform a myriad of useful and possibly dangerous tasks, including search and rescue missions, mapping of hostile environments, and military operations. However, more research is needed before these types of capabilities can be fully realized. In a laboratory setting, a localization system is typically required to track robots, but most available systems are expensive and require tedious calibration. Additionally, dynamical models of the robots are needed to develop suitable control methods, and software must be written to execute the desired tasks. In this thesis, a new video localization system is presented utilizing circle detection to track circular robots. This system is low cost, provides ~ 0.5 centimeter accuracy, and requires minimal calibration. A dynamical model for planar motion of a quadrotor is derived, and a controller is developed using the model. This controller is integrated into StarL, a framework enabling development of distributed robotic applications, to allow a Parrot Cargo Minidrone to visit waypoints in the x-y plane. Finally, two StarL applications are presented; one to demonstrate the capabilities of the localization system, and another that solves a modified distributed travelling salesman problem where sets of waypoints must be visited in order by multiple robots. The methods presented aim to assist those performing research in swarm robotics by providing a low cost easy to use platform for testing distributed applications with multiple robot types.
Senior Thesis Defenses | Thomas Aquinas College
In this work, we have tried to integrate the MRQL query language with a new real time big data computational system called Apache storm. This system was developed by twitter to analyze the trending topics in the social media and is widely used in industry today. The query written in MRQL is converted into a physical plan that involves execution of different functions such as Map Reduce, Aggregation etc. which has to be executed by the platform in its own execution plan. The implementation of Map Reduce has been done in this work for Storm which covers execution for important physical plans of query such as Select and Group By. The implementation of Map Reduce is also an important a part in every big data processing platform. This project will be the starting point in implementation of the MRQL for Apache Storm and the implementation can be extended to support various query plans involving Map Reduce.
Thesis and Defense Guidelines - Academics Portal Index
Abstract: The use of real time processing of data has increased in recent years with the increase of data captured by social media platforms, IOT and other big data applications. The processing of data in real time has been an important aspect of the day from finding the trends over the internet to fraud detection of in the banking transactions. Finding relevant information from large amount of data has always been a difficult problem to solve. MRQL is a query language that can be used on top of different big data platform such as Apache Hadoop, Flink, Hama, and Spark that enables the professionals with Database query knowledge to write queries to run programs on top of these computational systems.
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