Thesis Projects: A Guide for Students in Computer Science and Information Systems
Springer Science & Business Media, Oct 30, 2007 - Computers - 162 pages
Any B. Sc. or M. Sc. study programme in the computing discipline typically ends with a capstone project. A capstone project builds and tests the skills and the knowledge acquired during the education and is an essential part of the training towards becoming a professional. There is a large number of different terms for these types of projects: capstone project, senior project, final year project, B. Sc. / M. Sc. thesis project, etc. In this book we will use the term ‘thesis project’, and in some cases, for the sake of simplicity, just ‘project’. This book focuses on thesis projects within the computing discipline. Thus, the type of project discussed in this book is in line with the capstone format described in the ACM/IEEE Computing Curricula 2001 Computer Science (p. 53): ... an alternative capstone format is a research experience that includes some original work, a review of the scientific literature, and an investigation of a proposed solution, f- lowed by a scientific paper and/or an oral presentation of the results. It is important to remember that these are undergraduates and be realistic about the amount and quality of research expected. Even so, it may be more worthwhile to expose outstanding students to the challenges of research than to have them design and build yet another program In this book, we present a process for conducting thesis projects with the resear- orientation described in the quote above.
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abstract activities additional aims and objectives algorithm approach arguments aspects audience Berndtsson bibliographic database Björn Olsson chapter choose citation companies comparison criteria computer science Computing Project concept map conclusions conference contains context data mining database systems defence described develop discuss documents electronic commerce evaluate examiner examiner’s example experiments focus give goal grade graph guidelines human-computer interaction identify Implementing your Computing important information seeking information systems INSPEC interview investigate issues knowledge literature analysis misconceptions about real-time neural networks opponent oral organisation particular performance potential presentation project proposal qualitative research questions reader groups Real-Time Computing Real-Time Systems reference list relevant slide Software Architecture Software Engineering Economics sources specific Stankovic structure student style subject area supervisor techniques thesis project tion topic tuples understanding update writing