最新糖心Vlog

2 lectures -1 hour
1 workshop -1 hour

At the successful completion of this course, students will be able to:

1	Understand basic methods and techniques of data analysis in the social sciences and the ways in which they can be used in research.
2	Develop skills in analysing and interpreting social, demographic and economic data, such as the 最新糖心Vlogn Census of Population and Housing, to competently present data by means of tables and graphs.
3	Perform descriptive statistics, statistical testing, and multiple regress analysis of survey data using SPSS software.
4	Develop an awareness of the social applications of geographical information systems (GIS) in mapping and interpreting spatial variations in social, demographic and economic data.
5	Develop skills in selecting the appropriate techniques for various types of data, and presenting results of data analysis with high quality written skills.

Publications relating to the content of the census and other information relating to surveys and data sources provided by the 最新糖心Vlogn Bureau of Statistics (ABS) can be found on the ABS website at:

Publications relating to the content of the census and other information relating to surveys and data sources provided by the 最新糖心Vlogn Bureau of Statistics (ABS) can be found on the ABS website at:

Publications relating to the content of the census and other information relating to surveys and data sources provided by the 最新糖心Vlogn Bureau of Statistics (ABS) can be found on the ABS website at:

The course lectures provide basic factual information and information on data and techniques of analysis in the social sciences, introducing social issues, measurement, sources of data, interpretation and presentation. The workshops are linked to the lectures and together with readings each week follow a sequence of modules. The first based on census data examines population and socio-economic trends using EXCEL to show social indicators, tables and graphs. This module also uses GIS to map patterns of spatial variation and accessibility. The second is based on the collection of survey data and analysis using SPSS. The third focuses upon statistical analysis using SPSS to provide ways of summarising social, demographic and economic data and provides both description and explanation.

2 x 1-hour lectures (or equivalent) per week	22 hours per semester
1 x 1-hour workshop (or equivalent) per week	10 hours per semester
6 hours reading per week	72 hours per semester
2.5 hours research per week	30 hours per semester
2 hours assignment preparation per week	24 hours per semester
TOTAL WORKLOAD	158 hours per semester

Schedule

Week 1	Introduction: Secondary Data Sources
Week 2	The 最新糖心Vlogn Census: Applying Census Data to Social Sciences Study
Week 3	Social Indicators: Quantitative and Qualitative Measurement
Week 4	Quantitative and Qualitative Measurement; GIS & Social Sciences: Examples
Week 5	Survey Methods: Sampling and Questionnaire Design
Week 6	Preparation for Undertaking a Survey: Ethics in Research and Ethical Conduct
Week 7	Analysis of Survey Data
Week 8	Data to Answer Research Questions: Hypothesis Testing
Week 9	Descriptive Statistics: Summarising Data, Report Writing and Presentation
Week 10	Multi-variate Analysis: Correlation and Regression
Week 11	Interviewing and Discourse Analysis; Summary and Exam Review

A course requirement is that students submit all three workshop assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this subject and could preclude you from undertaking the exam.

This course is designed to encompass focussed computer workshops to develop skills in data analysis and presentation with small group discovery around interpretation of the outcomes.

Assessment Task	Task Type	Weighting	Learning Outcome
Workshop participation	Formative and Summative	10%	1-5
Workshop exercises	Formative and Summative	50%	1-5
Exam	Summative	40%	1-5

A course requirement is that students submit all three workshop assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this subject and could preclude you from undertaking the exam.

1.     Ongoing Workshop Participation and completion of SGDE activities (10%):

Students must attend and participate in Workshops. Students are required to notify the Course Co-ordinator as soon as possible if you have to miss a workshop. You need written evidence (e.g. medical certificate; note from employer; counsellor’s letter) if you have to miss more than one. Students are expected to be well prepared for each workshop and to actively participate.
 

During the lectures, students have opportunities to undertake a range of learning activities which will be designed to assess ongoing learning of what are the key concepts, techniques, and issues discussed throughout the course. Development of oral and aural skills will be an important part of this assessment.

 
Importantly, please note that although this allocation is 10% only, evidence shows that students who commit to regular attendance and engage with the course via active participation, often get up to 10/10 for this assessment component and that this can make the difference of up to a grade level if done well (i.e. Pass to Credit, Credit to Distinction, Distinction to High Distinction). 

 
2.       Workshop Assessment Tasks (50%):

The Workshops are of one-hour duration and are linked to the lecture program and it is advisable that you regularly attend Lectures (and/or listen to the recordings) and Workshops. Some weekly workshops will include an assessment task which allows students to
demonstrate both the successful completion of the workshop tasks, and their understanding and application of the techniques and skills which they learn each week.  Students need to submit all four Workshop Assessment Assignments on the following: (1) analysis of Census data and mapping social and demographic data (Part I); (2) analysis of Census data and mapping social and demographic data (Part II); (3) analysis of survey data using SPSS; (4) using SPSS for statistical analysis. Full details of the Workshop Assessments will be provided at the start of each workshop. All assignments in this course must be submitted online via the relevant course site. Assignment files must be converted to PDF before being submitted to MyUni/Canvas.

 
The DUE dates are as follows:
 
1. Analysis of census data (Part I)          (10%)      Workshops 1-2      Monday, 19 March

2. Analysis of census data (Part II)         (10%)      Workshops 3-4      Monday, 9 April

3. Analysis of survey data using SPSS    (20%)       Workshops 5-8      Monday, 14 May

4. Using SPSS for statistical Analysis      (10%)       Workshops 9-10    Monday, 4 June

 
Submission of assignments must be lodged by the given DUE date to avoid penalty.  If an assignment is submitted late there must
be an adequate reason given to the Course Coordinator. Students will receive feedback on or grades for their work by the end of week after the due date of each submission.

 
3.    Take Home Final Exam (40%):

This exam will be delivered and completed during the week from 4 June to 10 June. It will be a take home exam that students will
submit to MyUni/Canvas by the DUE date 10th June. Students will be provided with a lecture session that takes them through the exam and practice what a good answer looks like. The exam will consist of two components: (1) a series of short answer questions
which cover all aspects of the course; and (2) an essay question where students write on one topic from a given selection.


IMPORTANT NOTES:

Extensions

Extensions can only be sought under the provisions of the Modified Arrangements for Coursework Assessment Policy or the Reasonable
Adjustments for Teaching and Assessment for Students with a Disability Policy.

 
Lateness Penalties

For work that is late without formal extension, 2 percentage points will be deducted from the mark for every day (or part thereof) the work is late to a maximum of 7 days (including weekends and public holidays).

For example, an assignment that is 3 days late: raw score of 80% – 6 marks lateness deduction = 74% final mark.

For work with a formal extension, these penalties will apply from the extended due date.
 

Cut-off date

There will be a cut-off date for each assignment 7 days (including weekends and public holidays) after the original due date unless otherwise stipulated on MyUni. Work will not be accepted after the cut-off date, and a mark of zero will automatically be awarded for the assignment.


Results
 
Students’ final course results will be available online via Access Adelaide 10 days after the last day of the exam period.  最新糖心Vlog staff members are not permitted to release results over the telephone.

On line submission MyUni for assignments -Information available on enrolment.

A course requirement is that students submit all three module assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this course and could preclude you from undertaking the exam.

Grades

Grades for your performance in this course will be awarded in accordance with the following scale:

HD High Distinction 85-100

D Distinction 75-84

C Credit 65-74

P Pass 50-64

F Fail 0-49

To pass the course you must complete and submit for assessment all the assignments described in this course profile. Students who wish to continue in a major sequence or in a named degree must pass all core courses at a pass level or above.

Final marks on Access Adelaide