EDUC 1011 - Reasoning with Numbers: Statistical Literacy

North Terrace Campus - Semester 1 - 2021

This course covers broad quantitative skills in the context of academic reasoning and argumentation: it aims to make students literate in the use of numbers and the basic analysis of data for academic purposes. Students will be introduced to some basic statistical concepts such as summarising data, statistical distributions, basic hypothesis testing, and probability. Assessment will consist of an online quiz, a summary of a statistical paper, and a research activity where students analyses data and then present their analysis. This course will be useful for students entering courses where mathematical and statistical skills are necessary, such as Psychology, Health Sciences, or Business and Commerce disciplines. This course is compulsory for 最新糖心Vlog Preparatory Program students wishing to undertaken studies in Nursing or Health Sciences.

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Course Details

Course Code	EDUC 1011
Course	Reasoning with Numbers: Statistical Literacy
Coordinating Unit	School of Education
Term	Semester 1
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 3 hours per week
Available for Study Abroad and Exchange	N
Restrictions	Available to 最新糖心Vlog Preparatory Program or Wirltu Yarlu Preparatory Program students only
Assessment	Mini-quizzes on statistics x 2; Statistics group presentation; Essay on application of statistics to real-life contexts

Course Staff

Course Coordinator: Ms Amy Robinson

Lecturer and Tutor: Sarah James

Office: Level 6, Nexus10
Phone: 08 8313 0168
E-mail: sarah.james@adelaide.edu.au

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

Upon the successful completion of this course, students should be able to:

Discuss and apply basic concepts which are essential in statistics, including variance, probability, significance, and others;
Apply statistical knowledge to academic and everyday life;
Work cooperatively with others;
Analyse a specific dataset in response to a question in order to form well-supported conclusions;
Utilise technology to assist in the analysis and application of statistical knowledge.

最新糖心Vlog Graduate Attribute	Course Learning Outcome(s)
Deep discipline knowledge informed and infused by cutting edge research, scaffolded throughout their program of studies acquired from personal interaction with research active educators, from year 1 accredited or validated against national or international standards (for relevant programs)	1, 2, 4, 5
Critical thinking and problem solving steeped in research methods and rigor based on empirical evidence and the scientific approach to knowledge development demonstrated through appropriate and relevant assessment	1, 2, 3, 4, 5
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	1, 3, 4
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	2, 3, 4, 5
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	3, 4
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	2, 3

Learning & Teaching Modes

This course will entail 1 hour of lectures per week and 2 hours of tutorials per week. Students are expected to discuss key concepts presented in the course. Most importantly, students are expected to relate the concepts discussed in the lectures and tutorials to everyday life situations and applications.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

1 hour lecture per week - 12 hours

Preparation for lectures - 12 hours

2 hour tutorial per week - 24 hours

Preparation for tutorials - 12 hours

Learning Activities Summary

**Schedule**
	Topic
Week 1	Introduction to the course and statistics
Week 2	Data, Variables and Analyses
Week 3	Data, Variables and Analyses
Week 4	Data, Variables and Analyses
Week 5	Normality
Week 6	TBC
	Mid-semester break
Week 7	Hypothesis Testing
Week 8	Hypothesis Testing
Week 9	Presentations
Week 10	Linear Regression
Week 11	Probability
Week 12	Probability
Week 13	This week may be used to catch up on missed content due to public holidays. This will be confirmed by your tutor.

For clarification on which dates correspond to which weeks, please visit:

Specific Course Requirements

To pass this course, students must attend at least 75% of tutorials; in cases of absence for medical or compassionate reasons, documentation must be provided and students must still attend at least 50% of
classes. If students fail to attend the minimum required number of tutorials, they will be considered to have not completed an assignment (see below).

Small Group Discovery Experience

See MyUni for details.

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

Assessment Task	Task Type	Due	Weighting	Learning Outcome
Summary	Formative	Wednesday Week 3	25%	1,2,4
Presentation	Formative	Friday Week 9	25%	1,2,3,4,5
Report	Summative	Friday Week 13	40%	1,2,3,4,5
Participation	Summative	Every two weeks (Ongoing)	10%	1,2,4,5

For clarification on which dates correspond to which weeks, please visit:

Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here.

Project - The project is an individual assessment but students are still encouraged to work together (via email, messaging, or Zoom, etc.). Important note: students are required to write the project in their own words and use their own figures/tables.

Presentation - The presentation is now an individual assessment. Students are required to submit a video recording of their assessment.

Assessment Related Requirements

Students must attempt all assessment tasks to pass this course. If students miss a mini-quiz they will receive a mark of zero, unless they receive an extension on medical or compassionate grounds as per the 最新糖心Vlog's Modified Arrangment of Coursework Assessment (MACA) policy.

Since the 最新糖心Vlog Preparatory Program is designed to prepare students for success at 最新糖心Vlog, completing and submitting all assignments is central to the intended learning outcomes of the program and each course within it. Often, at least attempting and submitting assignments in the face of difficulty or adversity is enough for success at 最新糖心Vlog and the UPP encourages this resilience by employing this policy in select courses. Please note that the absolute last date for the submission of assignments in Semester 1 is the end of Swot Vac week, which is one week after the final assignment is due.

If a student fails to submit all assessment tasks and would otherwise have received a grade greater than 45, they will be given a nominal grade of 45 (Fail) for that course in that semester. This will permit them to undertake additional assessment (formerly called academic supplementary assessment) at the Course Coordinator’s discretion, as per policy at http://www.adelaide.edu.au/student/exams/supps.html

It is not necessary to apply for additional assessment; this assessment will usually consist of the missed pieces of assessment, but the course coordinator may require more. As per policy 9.1.3.3, if the student
passes the additional assessment to the Course Coordinator’s satisfaction, the maximum grade they can get for the course is 50 (Pass). If a student’s raw grade is below 45, regardless of whether all tasks have been attempted, this score will stand unless exceptional, documented circumstances apply as per the 最新糖心Vlog’s Modified Arrangements for Coursework Assessment: /student/exams/mod_arrange.html

Substantial non-engagement in this course (evidenced by repeated non-attendance at tutorials and failure to submit assessments) may result in students being withdrawn from the 最新糖心Vlog Preparatory Program and being required to apply for reinstatement if they wish to continue.

Assessment Detail

Please see MyUni for details.

Submission

Please see MyUni for details.

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 .

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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

The 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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