Computer Science
Software Tools and Techniques: COMPSCI 732 Semester 1, City Campus
This page is no longer maintained. Information on the current offering can be found on Canvas. The Canvas link for this course can be found here.
The purpose of this class is to understand the fundamentals of software project management, systems analysis and the tools that support these activities.
For current timetable and rooms please refer to university timetabling system. Please watch out for room changes in the first week of semester. Attendence is mandatory.
Topics include theory of software engineering, sensemaking (requirements), coevolution (analysis and design) and project management. See Canvas for specifics. Topics and their order are subject to change as the course evolves.
The course workbook, entitled "The Software Project Management Workbook" is available in the library. Additional readings will be made available through Canvas.
For further assistance please contact your lecturer, or the course supervisor (Christof Lutteroth). Office hours are published on the People page. For missed lectures you will find all lecture notes online in the Lectures page and lecturers can be contacted for further information during their office hours.
In any assignment, unacknowledged copying or plagiarism is not acceptable and is treated as an examination offence. In The University of Auckland guidelines on cheating in coursework (2001) plagiarism is defined as follows:
Plagiarism is the use of other people's work in an assignment and presenting it as your own without explicitly acknowledging - or referencing where it came from. Plagiarism can also mean not acknowledging the full extent of indebtedness to a source. Work can be plagiarised from many sources - including books, articles, the world wide web, and other students' work. Plagiarism can easily occur unconsciously or inadvertently. Direct copying is also plagiarism. Paraphrasing of other work without attribution is also plagiarism. Submitting someone else's unattributed or less than fully attributed work or ideas is not evidence of your own grasp of the material and cannot earn you marks. Note: Plagiarism applies to all levels of work, including theses and dissertations.
The department of Computer Science has a Academic honesty which expands on this
Plagiarism at any level is treated very seriously. If you are unsure about what constitutes plagiarism, particularly with regard to your assignments you should seek advice from your lecturer.
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