TRADE 7012 - Trade Statistics
North Terrace Campus - Trimester 3 - 2023
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General Course Information
Course Details
Course Code TRADE 7012 Course Trade Statistics Coordinating Unit Institute for International Trade Term Trimester 3 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 36 hours Available for Study Abroad and Exchange Y Assessment Assignments, Participation Course Staff
Course Coordinator: Harry Wardana
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course, students will be able to:
1 Identify statistical data from economic data bases; 2 Apply relevant statistical techniques for the analysis of trade and economic data; 3 Apply foundation knowledge of international trade and economic resources and research techniques to successfully analyse trade and economic data; 4 Analyse international trade and economic data for trade policy recommendations; 5 Construct efficient statistical trade and economic policy research, using skills associated with effective electronic databases and trade statistical analysis; and 6 Apply effective writing, research and presentation skills in the construction of policy argument and analysis on international trade issues. University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1-5 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
2-5 Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
2-5 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
3-5 Attribute 5: Intercultural and ethical competency
Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.
4 Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
1, 2, 3, 4, 5, 6 Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
4, 5 -
Learning Resources
Online Learning
Additional background information on trade in services can be found on the following websites:
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Learning & Teaching Activities
Learning & Teaching Modes
The Learning & Teaching modes of this course will comprise of a mix of online and face-to face modules. These will include group work and presentations, discussions and debate.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The Institute requires students undertaking this course to attend all face-to-face modules and to successfully complete all online/e-modules. This course comprise of approximately 36 contact hours (structured learning). In addition to time spent in class, students are expected to devote an additional 120 non-contact hours to study and research work in this course as well as to successfully complete online/e-modules.Learning Activities Summary
This course is delivered through a mix of three face-to-face sessions (Modules) and online modules. Module 1 - Review of Excel tools
- Introduction to statistical methods
- Introduction to trade economic analysis and tools
- Introduction to trade indicator tools and analysis2 - Review and enhancement of trade economic analysis and tools
- Review and enhancement of trade indicator tools and analysis
- Introduction to regression analysis and stata3 - Regression analysis, time series analysis and forecasting techniques
- Demand for trade analysis
- Gravity model to international trade -
Assessment
The University'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 Weighting Learning Outcome Data presentation Formative 10% 1,2 Data analysis (Part A) Presentation Formative 5% 1,2,3,4 Date analysis (Part A): Presentation - Peer assessment Formative 5% 1,2,3,4 Date analysis (Part A): Report/Policy brief Formative 25% 1,2,3,4 Data analysis (Part B) Presentation Summative 10% 1,2,3,4,5 Date analysis (Part B): Presentation - Peer assessment Summative 5% 1,2,3,4,5 Date analysis (Part B): Report/Policy brief Summative 40% 1,2,3,4,5 Total 100% Assessment Detail
Data presentation (10%)
Students will work on and resolve a data problem/case assigned by the lecturer and present their results to the class.
Data analysis (Part A): Presentation (5%)
Students will individually work on a data problem assigned by the lecturer. Students are to apply tools and trade statistical methods discussed during Module 1 and present their findings during Module 2 to the class.
Data analysis (Part A): Presentation - Peer assessment (5%)
Students are expected to evaluate the conduct and contributions of their fellow class mates' presentation (Data analysis (Part A): Presentation) through peer evaluation in Module 2.
Data analysis (Part A): Report/Policy brief (25%)
Taking into account feedback from the lecturer and the class the student has received for their presentation (Data analysis (Part A): Presentation), students are to submit a comprehensive policy brief/report.
Students are expected to synthesize materials, concepts, topics and tools covered throughout Modules 1 and 2. Students are expected to demonstrate their ability to apply knowledge while expressing themselves clearly and in a structured manner.
Data analysis (Part B): Presentation (10%)
Students will individually work on a data problem assigned by the lecturer. Students are to apply tools and trade statistical methods discussed during Module 1 and 2 and present their findings during Module 3 to the class.
Data analysis (Part B): Presentation - Peer assessment (5%)
Students are expected to evaluate the conduct and contributions of their fellow class mates' presentation (Data analysis (Part B): Presentation) through peer evaluation in Module 3.
Data analysis (Part B): Report/Policy brief (40%)
Taking into account feedback from the lecturer and the class the student has received for their presentation (Data analysis (Part B): Presentation), students are to submit a comprehensive policy brief/report.
Students are expected to synthesize materials, concepts, topics and tools covered throughout the course. Students are expected to demonstrate their ability to apply knowledge while expressing themselves clearly and in a structured mannerSubmission
Assignments must be submitted in:
1. Softcopy through Turnitin on MyUni
All assignments must be presented professionally with clear headings, appropriate referencing and using one and a half spacing.
Extensions will only be granted if requests are received in writing to the course coordinator at least 24 hours before the final due date unless they are requested on medical or compassionate grounds and are supported by appropriate documents. Late assignments will be penalised.
Your assignment must include the IIT assignment cover sheet which can be downloaded from MyUni under “Assignments”. Each page must be numbered with your student ID and name.
Please contact the course coordinator, preferably by email, for assistance or guidance in relation to course work, assignments or any concerns that may arise. Assignments will normally be returned two weeks after they have been submitted.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 University 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 University 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
- 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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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.
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