ECON 1008 - Data Analytics I
North Terrace Campus - Semester 1 - 2021
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General Course Information
Course Details
Course Code ECON 1008 Course Data Analytics I Coordinating Unit Economics Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week. Intensive in Summer Semester Available for Study Abroad and Exchange Y Incompatible ECON 1008UAC,WINEMKTG 1015EX, STATS 1000, STATS 1005, STATS 1004, STATS 1504. Not permitted after ECON 1011. Restrictions Cannot be counted towards BCompSc, BCompGr, BMath, BMath Adv, BMathComp Sci or BEng(Software Engineering) Quota A quota may apply Assessment Typically tutorial participation and/or exercises, assignments, tests and final exam Course Staff
Course Coordinator: Dr Florian Ploeckl
Melbourne Campus Trimester 2 Course Coordinator: Jacob Wong
Contact details: jacob.wong@adelaide.edu.au
Course Timetable
The full timetable of all activities for this course can be accessed from .
- Students in this course are expected to attend two 1-hour lectures and one 2-hour practical (tutorial) class each week.
- PRACTICALS (tutorials) commence in WEEK 2 AND ASSESSMENT in practicals BEGINS in WEEK 2.
- ECON 1008UAC 最新糖心Vlog of Adelaide College students are asked to read the ECON 1008 Course Outline.
Melbourne Campus students
- Students in this course are expected to attend two 1-hour lectures and one 2-hour practical (tutorial) class each week.
- PRACTICALS (tutorials) commence in WEEK 2 and ASSESSMENT in practicals BEGINS in WEEK 2.
- Melbourne Campus students are asked to refer to MyUni for applicable timetable and assessment information.
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course, students will be able to:
- Apply correctly a variety of statistical techniques, both descriptive and inferential.
- Interpret, in plain language, the application and outcomes of statistical techniques.
- Interpret computer output and use it to solve problems.
- Recognize inappropriate use or interpretation of statistics in other courses, in the media and in life in general and comment critically on the appropriateness of this use of statistics.
最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
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)
1-4 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
1-4 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
1-4 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1-4 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
1-4 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
1-4 -
Learning Resources
Required Resources
Text book
Selvanathan S, Selvanathan S and Keller G, Business Statistics: 最新糖心Vlog New Zealand Edition 7
ISBN 9780170369466
Calculator
Students will need a calculator; a basic one that can take squares, square roots etc is sufficient.Recommended Resources
Lecture slides, tutorial questions and other information will be available for students on MyUni and can be downloaded or printed from there.
In Semester 1, 2 and Summer Semester, it is intended that live lectures be recorded and a recording of each lecture put on MyUni for students offshore or those needing to quarantaine and who cannot attend the face-to-face lectures.
NOTE: Dictionaries are not allowed in School of Economics exams
Online Learning
Extensive use is made of MyUni, so please check the announcements regularly. Lecture notes, tutorial questions, and other relevant material will be made available on MyUni.
There are discussion boards on MyUni. This is the preferred way for students to ask questions so that all students have the same information and any of the staff can reply, allowing for quicker response time. -
Learning & Teaching Activities
Learning & Teaching Modes
This course uses lectures plus tutorials.
The lectures provide an overview of the course content but students must expect that they will need to study the textbook in order to understand the work.
The tutorials may incorporate team based learning, discussions, problem solving activities, individual and group work, student questions and student participation. These tutorials provide the opportunity for students to practice; they are vital for success in this course. Before the tutorials, students are expected to have attended or watched and understood the lectures and to have read the relevant chapter(s) from the text book.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The workload for this course should consist of:
- Attend lectures 2 hours per week
- Attend tutorials 1 hour per week
- Study textbook 4 hours per week
- Prepare homework answer 4 hours per week
Learning Activities Summary
Teaching & Learning Activities Related Learning Outcomes Lectures (1 hr) 1 - 4 Tutorials/ practicals (1 x 1 hr) 1 - 4
The topics to be covered (subject to changes) are:
MODULE 1 Introduction to Statistics & Analytics What is Statistics? Types of Data, Data Colleciton and Sampling MODULE 2 Analysing Data Graphical Descriptive Techniques - Nominal Data Graphical Descriptive Techniques - Numerical Data Measures of Central Locations Measures of Variability Measures of Relative Standings MODULE 3 Probability & Chance Probability Random Variables and Discrete Probability Distributions Random Variables and Continuous Probability Distributions MODULE 4 Estimation & Hypothesis Testing Statistical Inference and Sampling Distribution Estimation - Single Population Hypothesis Testing Estimation - Two Populations MODULE 5 Correlation and Regression Covariance and Correlation Linear Regression Model Specific Course Requirements
None. -
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
Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here reflect recent updates.
Engagement Activities consist of weekly quizzes, and active participation in tutorials.Assessment Task Due Date/ Week Weight Length(Word,Time) Learning Outcomes Engagement activities* Weekly 20% Varying 1 - 4 Assignments TBA 30% Varying 1 - 4 Final Exam Exam Period 50% 2 hours 1 - 4 Total 100% Assessment Related Requirements
There are NO hurdle requirements.Assessment Detail
Further details will be provided on MyUni.
Submission
All activities to be submitted online through MyUni, with the exception of tutorial participation.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 .
The policy of the School of Economics is not to return final exam scripts to students. However, they are made available for students to read under the supervision of the Course Coordinator, at a time and place to be announced. -
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.
The revisions to this course, based on student feedback, include a clearer structure of topics, more opportunities to practice questions, a reduction in expenses for online materials and a change in weighting towards continuous assessment. -
Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- 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
- Coursework Academic Programs Policy
- 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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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.
