How to write an abstract for a dissertation?
This part will be read by at least 40 people, while whole paper is usually reviewed in detail by a maximum of 5 teachers. This means that special scrupulousness is needed here. So, what is a dissertation abstract? It is a brief summary of the project which has the following structure:
The style, presentation of information in the abstract should be of scientific nature. All formulations should be succinct, concise, clear and precise. The statement of the problem, the hypothesis, the conclusions – all this should be logical, concretized and objective. In addition, control the volume – information should be compressed: only the essence, nothing extra. The following techniques are often used to achieve brevity: terms repeated many times are replaced by abbreviations; complex sentences, awkward constructions be replaced by simpler formulations.
Focus on the requirements of the commission. On the official university website, download the dissertation abstract example written in your specialty and accepted by the professors, or ask the supervisor where you can find such a paper. Taking into account the characteristics of a successful sample, compile your own version.
The requirements for the content of the main part are established by the supervisor and the scientific council. As a rule, it consists of several chapters listed below.
A review of the literature begins immediately after the introduction. The author analyzes the sources of information on the selected topic. It is a detailed description of the subject and object of study, the degree of their cognition in the modern world. It is worth pushing off from the concepts of the subject and object and disclosing the topic on their basis. The commission will evaluate the applicant’s knowledge of the topic not only within the framework of the work but also within the whole branch of science.
If the project addresses several aspects of the problem, the dissertation chapter 1 can be divided into subsections devoted to different sides of the issue. In this case, each item must be numbered.
Very often, it is difficult to compile he first chapter until the other parts are completed. Therefore, as you write, the conclusions of the first chapter can be supplemented and expanded.
A methodology chapter in dissertation is relatively small in volume but plays a significant role in the course of the study. In it, the applicant provides a description of empirical and theoretical research techniques that have been applied, lists the equipment or computer programs used, indicates the experimental studies conducted. This part can be divided into thematic points, separately describing each specific method or arranged by the general level of elaboration.
This block reflects the process of research. It can be called the most complex and important element of the whole course, its heart, the core. Therefore, if you know how to write a dissertation discussion, consider that 50% of success is guaranteed.
The structure of the text depends on the topic and the nature of the results obtained. But most often, the author should:
The key function of this chapter is to show the best of the scientific work within the framework of the topic on which you will work. The essence of the best research is to reveal the problem of the research, highlighting the strengths and weaknesses of the issue.
The main question in this part is to choose the best methods, suitable for the task, to reveal the topic from different perspectives. All approaches should be based on the previously stated idea, the point of view of the author.
The theme of the best dissertation is usually chosen by the supervisor and the scientific council. The topic should be relevant and widely discussed, allowing innovative, original approaches. You can apply general scientific and professional research methods.
If you are writing an academic paper on medical research, you can choose one of the methods described below.
In particular, you can choose the way of combining biological information and computer methods of analysis, systematizing the complex data. This approach is extremely promising.