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Unit of study_

BUSS4013: Interdisciplinary Honours B

Semester 1, 2021 [Block mode] - Camperdown/Darlington, Sydney

This is a compulsory Honours coursework unit offered to 'Cluster' Honours students. The unit drills down into important research methods that need to be understood in order to complete an Honours project in the Business School within Marketing, Work and Organisational Studies, Business Information Systems and International Business. This unit covers advanced research-integrated topics relevant to the development of the honours thesis. These include the application of appropriate research methods with a view to assisting students to conduct their proposed research.

Unit details and rules

Unit code BUSS4013
Academic unit Business School
Credit points 6
Prohibitions
? 
BUSS4213 or BUSS4513 or BUSS4613 or BUSS4813
Prerequisites
? 
Students must meet the entry requirements to the Honours program, including completion of a pass undergraduate degree and a major in the specialisation area.
Corequisites
? 
BUSS4001 and (BUSS4212 or BUSS4512 or BUSS4612 or BUSS4812)
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Boris Choy, boris.choy@sydney.edu.au
Guest lecturer(s) Boris Choy, boris.choy@sydney.edu.au
Lecturer(s) Laurent Pauwels, laurent.pauwels@sydney.edu.au
Barney Tan, barney.tan@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam Final Exam
Type D unsupervised Take Home Exam. Time allowed: 2 hours and 10 minutes
50% Formal exam period 2.5 hours
Outcomes assessed: LO1
Assignment Assignment
Assignment on Quantitative Research Methods. Due date: STUVAC Weight: 50%
50% STUVAC 20 pages
Outcomes assessed: LO1
Type D final exam = Type D final exam ?

Assessment summary

Assignment: This assessment requires students to apply the linear regression theory to familiar situations, exercise critical judgment, use a problem-solving approach, and demonstrate their understanding of the concepts. Students are given the flexibility to use their own datasets (subject to consultation with the coordinator) which is relevant for their research.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 

Distinction

75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Credit

65 - 74

Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Pass

50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 07 One-way Analysis of Variance (ANOVA) Online class (3 hr)  
Introduction to Qualitative Research Online class (3 hr)  
Week 08 Simple Linear Regression Analysis and Correlation Analysis Online class (3 hr)  
Case Study Research: Purpose and Evaluation Criteria Online class (3 hr)  
Week 09 Multiple Linear Regression Analysis 1: Estimation and Prediction Online class (3 hr)  
Collecting Qualitative Data Online class (3 hr)  
Week 10 Multiple Linear Regression Analysis 2: Diagnostics, Tests and Confidence Intervals Online class (3 hr)  
Analysing Qualitative Data Online class (3 hr)  
Week 11 Multiple Linear Regression Analysis 3: Nonlinear Regression Functions Online class (3 hr)  
Writing a Qualitative Research Paper Online class (3 hr)  
Week 12 Multiple Linear Regression Analysis 4: Instrumental Variables and Binary Dependent Variables Online class (3 hr)  
Research Ideas Presentation Online class (3 hr)  

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. plan and conduct a small research project, including research planning, data analysis, data interpretation and data reporting.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.

Statistical software: Students are advised to access the statistical package SPSS via Citrix. 

More information can be found on Canvas.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.