Note: This unit is an archived version! See Overview tab for delivered versions.
MATH1005: Statistics (2010 - Semester 2)
| Unit: | MATH1005: Statistical Thinking with Data (3 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Junior |
| Faculty/School: | School of Mathematics and Statistics |
| Unit Coordinator/s: | |
| Session options: | Semester 2, Summer Main |
| Versions for this Unit: | |
| Site(s) for this Unit: |
http://www.maths.usyd.edu.au/u/UG/JM/ |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Prohibitions: | MATH1015, MATH1905, STAT1021, STAT1022, ECMT1010 |
| Brief Handbook Description: | MATH1005 is designed to provide a thorough preparation for further study in mathematics and statistics. It is a core unit of study providing three of the twelve credit points required by the Faculty of Science as well as a Junior level requirement in the Faculty of Engineering. This unit offers a comprehensive introduction to data analysis, probability, sampling, and inference including t-tests, confidence intervals and chi-squared goodness of fit tests. |
| Assumed Knowledge: | None. |
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
| Attribute Development Method | Attribute Developed |
| Basic statistical concepts and methods. | Fundamentals of Science and Engineering (Level 1) |
For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
Fundamentals of Science and Engineering (Level 1)| Assessment Methods: |
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| Assessment Description: |
Examination. There is one examination of 1.5 hours’ duration during the examination period at the end of semester 2. Further information about the exam will be made available at a later date. Quizzes. There are two quizzes, each worth 15% of your final raw mark. Quizzes are held during tutorials, in week 8 (beginning 13 September) and week 12 (beginning 18 October). You should put those dates in your diary now! You must sit for the quiz during the tutorial in which you are enrolled. Your quiz mark will not be recorded if you sit for the quiz in a tutorial in which you are not enrolled (unless you have made an arrangement with the Mathematics Student Office). If you miss a quiz, then you must go to the Mathematics Student Office as soon as possible afterwards. Assignments. One assignment will be marked, and will be worth 5% of your final raw mark. The assignment will be due on Thursday 2 September. Please see page 26 of the Junior Mathematics Handbook for details relating to the submission of assignments. Final mark. Your final raw mark is scaled to produce your final mark. Marks are scaled so that the distribution of grades is consistent with the quality of the class, and the difficulty of the unit, as required by the University. |
| Online Course Content: | http://www.maths.usyd.edu.au/u/UG/JM/ |
| Note on Resources: | This outline is a brief extract only. See School of Mathematics and Statistics or the Junior Mathematics website for fuller outline. |
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
| Week | Description |
| Week 6 | Assessment Due: Assignment |
| Week 8 | Assessment Due: Quiz 1 |
| Week 12 | Assessment Due: Quiz 2 |
| Exam Period | Assessment Due: Examination |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| Fundamentals of Science and Engineering (Level 1) | Yes | 0% |
These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.
