STATS 7053 - Statistics in Engineering
North Terrace Campus - Semester 2 - 2014
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General Course Information
Course Details
Course Code STATS 7053 Course Statistics in Engineering Coordinating Unit Statistics Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Assumed Knowledge Level I Mathematics or equivalent, introductory statistics or equivalent background reading Assessment assignments 30%, Final exam 70% Course Staff
Course Coordinator: Dr Ali Eshragh
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
No information currently available.
最新糖心Vlog Graduate Attributes
No information currently available.
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Learning Resources
Required Resources
NoneRecommended Resources
A beginner's guide to R , A.F. Zuur E.N. Ieno E.H.W.G. Meesters Springer 2009
Introductory statistics with R, P. Dalgaard Springer 2008
The R Book, M.J. Crawley, Wiley 2007
Statistical Methods for Engineers, G. Vining, Thomson
Probability and Statistics, J.L. Devore, ThomsonOnline Learning
This course uses MyUni exclusively for providing electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, etc. It is recommended that the students make appropriate use of these resources.
Link to MyUni login page:
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Learning & Teaching Activities
Learning & Teaching Modes
This course relies on lectures as the primary delivery mechanism for the material. Tutorials supplement the lectures by providing exercises and example problems to enhance the understanding obtained through lectures. A sequence of written assignments provides the assessment opportunities for students to gauge their progress and understanding.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Lectures 24 72 Tutorials 6 18 Assignments 5 48 Practicals 6 18 TOTALS 156 Learning Activities Summary
Lecture Outline
1. Review of descriptive statistics (1 lecture)
2. Review of basic probability (1 lecture)
3. Discrete probability distributions (2 lectures)
4. Continuous probability distributions (3 lectures)
5. linear combinations of random variables (1 lecture)
6. Central limit theorem (1 lecture)
7. Comparing populations (6 lectures)
8. Statistical process control (2 lectures)
9. Regression on one predictor variable and correlation (3 lectures)
10. Multiple regression (4 lectures)
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Tutorial Outline
1. Stratified sampling of water distribution zones
2. Paired comparison of reaction times
3. Industrial process investigation
4. Analysis of survey with multiple regession
5. Weibull analysis
6. Factorial experiment
Practical Outline
1. Introduction to R
2. Comparisons of populations using R
3. Correlation using R
4. Regression on one predictor using R
5. Multiple regression using R
6. Multiple regression using R -
Assessment
The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Component Weighting Outcomes Assessed Assignments 18% All Practicals 6% All Tutes 6% All Examination 30% All Assessment Related Requirements
Aggregate score of at least 50%Assessment Detail
Assessment Item Distributed Due Date Weighting Assignment 1 1 August 15 August 4% Assignment 2 15 August 29 August 3% Assignment 3 29 August 19 September 4% Assignment 4 19 September 10 October 4% Assignment 5 10 October 24 October 3% Submission
All written assignments are to be submitted to the designated hand in boxes within the School of Mathematical Sciences with a signed cover sheet attached.
Late assignments will not be accepted.
Assignments will have a two week turn-around time for feedback to students.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The 最新糖心Vlog places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 最新糖心Vlog to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
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- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
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- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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