LECTURE SERIES -ACADEMIC INTEGRITY

Please note that Assignment 1 has been uploaded to Canvas. It is located in the folder Assignment 1. The accompanying lectures (Lecture Series 5 to 7) pertaining to this Assignment will be uploaded to Canvas in the next few days (LS 5 has been uploaded this evening). They will cover Practical Site Logistics and Prefabrication. A question and answer session regarding the tutorial and the lectures will be held after the semester break.
However, if there is sufficient interest, we will also hold a question and answer session during the semester break at a time to be confirmed.
In regard to all assessments please note the following.
Assessments, unless stated otherwise need to be your own work. Any cheating, plagiarism or academic dishonesty will be dealt with according to the relevant University statutes, of which there can be severe consequences regarding not only your reputation but also your academic record. There is also the risk of possible expulsion which for some could ultimately impact visa status.
The Civil 707 teaching team will be very strict on this matter. If anyone is tempted to cheat we strongly advise you not to because we will be taking action and the consequences will heavily outweigh any possible benefit you may have been hoping for. More importantly, all of you are taking this course in order to learn something which will help you in your careers as engineers. The amount that you learn is proportional to the amount of work you put in. There is no short cut to knowledge. Like most Engineering Institutions world-wide, Engineering New Zealand’s code of ethical conduct is based on personal integrity and social responsibility and we would like to think that all of you, as engineers or future engineers, hold yourself to the ethical and moral standards becoming of a professional engineer. Good luck for the assignment and I look forward to meeting you all again soon.

a. Explain by using any analytical tool appropriately to develop innovative analytical visualization diagrams the significant insights and patterns that you uncovered by analysing the chosen dataset.
b. Discuss the business values generated from these discoveries.
c. This will be submitted as an individual academic report (1800 words) on Friday, 08 May 2020 — 17:00 (Week 08).
General Guidelines
Marks would depend on the following factors:

1. Depth of research to illustrate the BI tools/applications chosen 2. Quality of reference provided 3. Quality of academic report writing.
   Make sure your follow academic report structure with cover page, introduction, use of headings, subheadings, conclusion sand reference section. Please note that all references must adhere to APA style. You are reminded to read the “Plagiarism” section of the course description. Your essay should be a synthesis of ideas from a variety of sources expressed in your own words.
   A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully.