Note: This unit version is currently being edited and is subject to change!
MATH1005: Statistical Thinking with Data (2019 - 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 |
| Versions for this Unit: |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Prohibitions: | MATH1015, MATH1905, STAT1021, STAT1022, ECMT1010, ENVX1001 |
| 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: | HSC Mathematics |
| Timetable: | MATH1005 Timetable |
| T&L Activities: | Lectures: Two 1 hour lectures and one 1 hour tutorial per week. Practical Work: |
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.
(1) Maths/ Science Methods and Tools (Level 1)| Assessment Methods: |
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| Assessment Description: | One 1.5 hour examination, assignments and quizzes (100%) |
| Note on Resources: | As set out in the Junior Mathematics Handbook |
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: Final Exam |
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 |
| (1) Maths/ Science Methods and Tools (Level 1) | No | 100% |
These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.
