CORPFIN 7033 - Quantitative Methods (M)

North Terrace Campus - Trimester 3 - 2018

The purpose of this course is to provide an introduction to both basic and advanced analytical tools for business disciplines. Beginning with simple statistical methods, the course builds to more robust analytical techniques such as multivariate linear regression. Emphasis is placed on theoretical understanding of concepts as well as the application of key methodologies used by industry. This course also aims to promote a critical perspective on the use of statistical and econometric information.

  • General Course Information
    Course Details
    Course Code CORPFIN 7033
    Course Quantitative Methods (M)
    Coordinating Unit Adelaide Business School
    Term Trimester 3
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 3
    Contact Up to 4 hours per week
    Available for Study Abroad and Exchange Y
    Assumed Knowledge SACE Stage 2 Mathematical Methods or equivalent
    Course Description The purpose of this course is to provide an introduction to both basic and advanced analytical tools for business disciplines. Beginning with simple statistical methods, the course builds to more robust analytical techniques such as multivariate linear regression. Emphasis is placed on theoretical understanding of concepts as well as the application of key methodologies used by industry. This course also aims to promote a critical perspective on the use of statistical and econometric information.
    Course Staff

    Course Coordinator: Dr Thu Phuong Pham

    Dr George Mihaylov (lecturer in charge)

    Location: Room 12.14, Nexus 10, Pulteney Street
    Telephone: 8313 2056 (work)
    Email: george.mihaylov@adelaide.edu.au (preferred contact)

    George is the lecturer in charge of Quantitative Methods (M) at the University of Adelaide Business School. He completed his PhD in 2015 and also holds degrees in Mathematical and Computer Sciences (Statistics) and Finance (Honours). His PhD research considers several topical areas of household finance including shared appreciation mortgages, self-managed superannuation and succession in family firms. Other research interests include financial products and services as well as commodities. George has also been active in industry projects through the International Centre for Financial Services, including partnerships with ANZ, Rural Bank, HomeStart Finance and the SMSF Association. George has a broad spectrum of teaching interests. Previously he has taught portfolio theory and management, banking, risk management and statistics.

    Mr John Dolinis (tutor and workshop co-ordinator)

    Email: john.dolinis@adelaide.edu.au (preferred contact) OR dolinis@yahoo.com.au

    John is a tutor and workshop co-ordinator for Quantitative Methods (M). He holds a Bachelor degree in Applied Mathematics and Physics; a Master degree in Public Health (epidemiology and biostatistics); and a Master degree in Accounting and Finance. He is currently teaching accounting and quantitative methods subjects at other tertiary education institutions in Adelaide. He has prior health and medical research experience, particularly in the field of injury analysis, surveillance and prevention.
    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course, students will be able to:

    1. Explain probability theory and its relation to general statistics

    2. Explain the importance, techniques and biases of quantitative methods in context

    3. Use estimated models to obtain point and interval predictions as well as forecasts

    4. Construct and interpret various statistical hypothesis tests

    5. Critically evaluate regression analysis (model selection)

    6. Critically interpret statistical and econometric results
    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)
    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 - 6
    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
    3 - 6
    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
    3 - 6
    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 - 6
  • Learning Resources
    Required Resources
    Textbook (either of the following)

    David P. Doane & Lori E. Seward, Applied Statistics in Business and Economics, 5th ed, McGraw-Hill Irvin.

    David P. Doane & Lori E. Seward, Applied Statistics in Business and Economics, 4th ed, McGraw-Hill Irvin.

    Recommended Resources
    Calculator

    This course requires mathematical computation. Although much of it can be handled manually, access to an appropriate calculator is necessary. If you intend to purchase a calculator for this course, you will find it very useful to purchase a graphics calculator.
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Task Type Weighting Learning Outcome
    Participation Individual 10% 1 - 6
    Online Test 1 Individual 10% 1 - 6
    Online Test 2 Individual 10% 1 - 6
    Final exam (3 hours, closed book) Individual 70% 1 - 6


    Assessment Detail
    1. Online tests
    Multiple choice questions, and/or analytical problems. 

    2. Participation
    The quality of each student’s preparation for and participation in class activities will be assessed by the lecturer.

    3. Final examination
    Will be a 3 hour closed book exam and will be held during the to-be-announced examination time.
    Submission

    No information currently available.

    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 Access Adelaide.

  • 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.

  • Student Support
  • Policies & Guidelines
  • 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’s disciplinary procedures.

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