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WEEK1-stat2008代写
时间：2023-05-27
VIEWING CLASS
STATE:
Regression Modelling
STAT2008
04130 - Rsch Sch of Finance, Actuarial Studies & App Stats - ANU College of Business and Economics
COURSE TOPIC
CLASS NUMBER
3992
TERM
First Semester, 2023
CLASS SECTION
1
CLASS AVAILABILITY
Active
MODE OF DELIVERY
In Person
CLASS START DATE
20/02/2023
CLASS END DATE
26/05/2023
CENSUS DATE
31/03/2023
LAST DATE TO ENROL
27/02/2023
STUDENT SPECIFIC PERMISSIONS
No
ENROLLED STUDENTS
62
ENROLMENT LIMIT
999
IS CONSENT REQUIRED TO ENROL?
No
IS CONSENT REQUIRED TO DROP?
No
MINIMUM UNITS
6
MAXIMUM UNITS
6
PROPOSER NAME:
Chen Tang
PROPOSED DATE:
10/01/2022
APPROVED DATE:
19/01/2023
PUBLISHED
20/01/2023
Course Information
PHOTO COURSE CONVENER
UID
u4356489
Name
Mr Abhinav Mehta
Email
Abhinav.Mehta@anu.edu.au
Phone
02 6125 1081
STUDENT CONSULTATION DAYS AND HOURS
DAYS OR BY APPOI NTM ENT HOURS (FROM ) E.G. 15 :00 OR BY APPOI NTM ENT HOURS (TO) E.G. 16:00
Tuesday 14:00 16:00
COURSE CONVENER - RESEARCH INTERESTS
Bio-Statistics, Crime Statistics, Survival Analysis, Longitudinal Data Analysis
ADMINISTRATIVE CONTACT
UID
u5260803
Name
Ms Anna Pickering
Email
anna.pickering@anu.edu.au
Phone
02 6125 9045
ADD LECTURERS, TUTORS OR DEMONSTRATORS BELOW
ROLE UI D NAM E PHONE EM AI L STUDENT
CONSULTATI ON
DAY
HOURS (FROM )
E.G. 15 :00
HOURS (TO)
E.G. 16:00
Lecturer u4356489 Abhinav Mehta 02 6125 1081 Abhinav.Mehta@anu.edu.au Tuesday 14:00 16:00
TUTORIAL REGISTRATION
Tutorials will be available on campus, live through scheduled Zoom sessions and as pre-recorded videos. ANU utilises MyTimetable to enable students to view the timetable for
their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable
webpage. https://www.anu.edu.au/students/program-administration/timetabling].
SUPPORT FOR STUDENTS
The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student
Administrators, or your College and Course representatives (if applicable).
• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Access and inclusion for students with a disability or ongoing or chronic illness
• ANU Dean of Students for condential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
• ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
• ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
• ANUSA supports and represents undergraduate and ANU College students
• PARSA supports and represents postgraduate and research students
Class Overview
CLASS STRUCTURE AND CONTENT
WEEK/SESSI ON
NUM BER
SUM M ARY OF ACTI VI TI ES ASSESSM ENT AND OTHER I NFORM ATI ON
1 Introduction. Getting started with R. Simple Linear Regression (revision).
Parameter interpretation/estimation.
No tutorials in week 1
2 Properties of least squares estimators. ANOVA.
3 Hypothesis testing and interval estimation in a SLR context. Prediction intervals.
4 Regression diagnostics (residual plots). Outliers and inuential observations.
5 Scale transformations. Matrix approach to linear regression. Wattle Quiz
6 Introduction to Multiple Regression. Model interpretation and estimation. Submission of Assignment 1 via Wattle
7 Model interpretation continued.
8 ANOVA for multiple regression. Sequential sum of squares.
9 Qualitative covariates in multiple regression.
10 Model diagnostics. Outlier detection. Types of residuals. Inuence diagnostics.
Multicollinearity.
Submission of Assignment 2 via Wattle
11 Model selection and criteria for comparing models.
12 Course review.
RESEARCH-LED TEACHING
The material covered in this course covers established principles in actuarial work and academia.
FIELD TRIPS IF RELEVANT
ADDITIONAL CLASS COSTS
Students will need a non-programmable scientic calculator.
REQUIRED RESOURCES
Required Texts
Applied Linear Regression Models (4th Edition): by Michael H. Kutner, Christopher J. Nachtsheim, John Neter. ISBN: 9780073014661
The ebook can be found in the ANU library here.
Technology and Software
The application of modern statistical techniques requires familiarity with a statistical computing package. Examples provided in lectures, tutorials, and work related to the
assignments will entail the use of the statistical computer packages R and RStudio, which are freely available at www.r−project.org and https://www.rstudio.com. The program
code used for examples provided in lectures and tutorials will be available on the course Wattle site.
RECOMMENDED RESOURCES
For students who would like additional help getting started with R, I also recommend:
• Chester Ismay and Albert Y. Kim. (2017) Modern Dive: An Introduction to Statistical and Data Sciences via R (freely available from http://moderndive.com).
EXAMINATION MATERIAL OR EQUIPMENT
The nal exam will be conducted remotely via Wattle with limited timeframes and using the Proctorio or other online invigilation software which will be advised no later than Week
10 of the semester.
Assessment Tasks
ASSESSMENT SUMMARY
TASK NUM BER VALUE (%) DUE DATE (YYYY-M M -DD) OR BLANK RETURN OF ASSESSM ENT DATE
(YYYY-M M -DD) OR BLANK
LI NKED LEARNI NG OUTCOM ES
1 5 2023-03-20 2023-03-24 2,3
2 15 2023-03-30 2023-04-21 1,2,3
3 15 2023-05-11 2023-05-26 1,2,3,4,5
4 65 2023-06-01 2023-06-29 1,2,3,4,5,6
ASSESSMENT TASK #
Assessment Task 1
Assessment Task 2
Assessment Task 3
Assessment Task 4
Name of Assessment Task:
Wattle Quiz
Details of Task:
The students are to complete this quiz individually. The quiz will be made available on Wattle for you to complete in week 5. The quiz will be available for a short window
that week with more details provided during the lectures and on the Wattle page. This quiz is worth 5% of the nal raw score and is not redeemable.
Name of Assessment Task:
Assignment 1
Details of Task:
The students are to complete this assignment individually. This assignment is designed to cover materials about Simple Linear Regression. It is worth 15% of the nal
raw score and is not redeemable. The assignment and further details will be made available in week 4 on Wattle. It will be due at COB on Thursday in Week 6. It will
involve using R to analyse data from a case study, then organize and edit the R output and prepare a written report on your analyses, as well as some proofs.
Name of Assessment Task:
Assignment 2
Details of Task:
The students are to complete this assignment individually. This assignment is designed to cover materials about Multiple Regression. It is worth 15% of the nal raw
score and is not redeemable. The assignment and further details will be made available in week 8 on Wattle. It will be due at COB on Thursday in Week 10. It will involve
using R to analyse data from a case study, then organize and edit the R output and prepare a written report on your analyses, as well as some proofs.
Name of Assessment Task:
Final Examination
Details of Task:
The students are to complete this assessment individually. The nal exam will be held during the exam period with details to be advised no later than teaching week 10
of the semester. This is a compulsory piece of assessment which will be a 4-hour written exam to be held during the end of the semester examination period.
Examination materials and conditions will be notied to all students via Wattle no later than week 10 of the semester. Centrally scheduled examinations through
Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information.
PARTICIPATION
Course content delivery will take the form of weekly on-campus lectures (recorded and available via echo360 on Wattle), weekly online (Zoom) workshops (recorded) and weekly
tutorials, delivered in a hybrid format (on campus, live through scheduled Zoom sessions and as pre-recorded videos). Weekly consultations with the lecturer and the tutor(s) will
be conducted over Zoom.
EXAMINATION(S)
Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further
information. Any student identied, either during the current semester or in retrospect, as having used ghostwriting services will be investigated under the University’s Academic
Misconduct Rule.
Assignment Submission
ASSESSMENT REQUIREMENTS
The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to
managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software
is not technically possible; or where not using Turnitin software has been justied by the Course Convener and approved by the Associate Dean (Education) on the basis of the
teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission
methods as approved by the Associate Dean (Education). The submission method is detailed below.
ONLINE SUBMISSION
You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption
has been approved by the Associate Dean (Education) submission must be through Turnitin.
HARDCOPY SUBMISSION
There is no hardcopy submission in the course.
EXTENSIONS AND PENALTIES
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment
pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have
documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due
date.
LATE SUBMISSION
No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date then a penalty of 5% per
working day will be applied to your marked assignment up to a maximum of 10 working days after the due date. Any submissions after this period will be marked 0.
RETURNING ASSIGNMENTS
The marked assignments will be returned online.
RESUBMISSION OF ASSIGNMENTS
It will not be possible for assignments to be resubmitted.
Related Policies and Other Information
EDUCATIONAL POLICIES
ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement
them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:
• Academic Integrity Policy and Procedure
• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Guideline and General Information
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure
• Code of practice for teaching and learning
MARK MODERATION
Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some
moderation of marks might be applied prior to nal results being released.
REFERENCING REQUIREMENTS
The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing
requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.
DISTRIBUTION OF GRADES
Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports
on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualication
type learning outcomes.
Since rst semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
PRIVACY NOTICE
The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users rst agreeing to the
database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the
database licensor and submit personal information, including their: rst name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’
in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may
be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these
circumstances students should contact their lecturer to enquire about alternative arrangements that are available.
ACADEMIC INTEGRITY
Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle
commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly,
responsibly and ethically, and with respect and fairness, in scholarly practice.
The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and
Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualications.
The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy
and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies
to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.
The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All
coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity
training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as
well as understanding and upholding academic integrity.
OTHER INFORMATION TO BE PUBLISHED ON P&C
Support for Students
The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/
Communication via Email
If I, or anyone in the School, College or University administration, need to contact you, we will do so via your ocial ANU student email address, which you need to check regularly. If
you have any questions for the teaching and course convenor make sure you email them using your ANU email address. Emails from personal email accounts will not be answered.
Announcements
Students are expected to check the Wattle site for announcements about this course, e.g. changes to timetables or notications of cancellations.
Assessment Requirements
Any student identied, either during the current semester or in retrospect, as having used ghostwriting services will be investigated under the University’s Academic Misconduct
Rule.
Scaling
Your nal mark for the course will be based on the raw marks allocated for each of your assessment items. However, your nal mark may not be the same number as produced by
that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark
will exceed the scaled mark of that student), and may be either up or down.
Referencing Requirements
In assignments and exams, students must appropriately reference any results, words, or ideas that they take from another source that is not their own. A guide can be found
at https://academicskills.anu.edu.au/resources/handouts/referencing-basics.
Co-Teaching
STAT2008 shares the same lecture content and assignments as STAT2014 and STAT6014, however, these cohorts may have separate tutorials and different assessments.
Students in STAT2014 and STAT6014 also have some additional lecture content that STAT2008 students are not required to take. The different cohorts of students will also be
treated separately in grading and any scaling that is applied. Contact the convener of the Bachelor of Actuarial Studies if you are unsure whether to enrol in STAT2008, STAT2014
or STAT6014.
OTHER INFORMATION THAT WILL NOT BE PUBLISHED
Feedback
STAFF FEEDBACK TO STUDENTS
Students will be given feedback (through both verbal and written comments) in the following forms in this course:
• To the whole class during lectures.
• Within tutorials.
• Individually during consultation hours.
Students will also be given online quiz feedback on Wattle and written comments in the marked assignments.
STUDENT FEEDBACK
ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course
Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of
Learning & Teaching (SELT) feedback program. SELT surveys are condential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching,
and opportunities for improvement.
HAS A CHANGE BEEN MADE TO THIS CLASS SUMMARY AS THE
RESULT OF A SELT FINDING?
NO
STATE:
Regression Modelling
STAT2008
04130 - Rsch Sch of Finance, Actuarial Studies & App Stats - ANU College of Business and Economics
COURSE TOPIC
CLASS NUMBER
3992
TERM
First Semester, 2023
CLASS SECTION
1
CLASS AVAILABILITY
Active
MODE OF DELIVERY
In Person
CLASS START DATE
20/02/2023
CLASS END DATE
26/05/2023
CENSUS DATE
31/03/2023
LAST DATE TO ENROL
27/02/2023
STUDENT SPECIFIC PERMISSIONS
No
ENROLLED STUDENTS
62
ENROLMENT LIMIT
999
IS CONSENT REQUIRED TO ENROL?
No
IS CONSENT REQUIRED TO DROP?
No
MINIMUM UNITS
6
MAXIMUM UNITS
6
PROPOSER NAME:
Chen Tang
PROPOSED DATE:
10/01/2022
APPROVED DATE:
19/01/2023
PUBLISHED
20/01/2023
Course Information
PHOTO COURSE CONVENER
UID
u4356489
Name
Mr Abhinav Mehta
Abhinav.Mehta@anu.edu.au
Phone
02 6125 1081
STUDENT CONSULTATION DAYS AND HOURS
DAYS OR BY APPOI NTM ENT HOURS (FROM ) E.G. 15 :00 OR BY APPOI NTM ENT HOURS (TO) E.G. 16:00
Tuesday 14:00 16:00
COURSE CONVENER - RESEARCH INTERESTS
Bio-Statistics, Crime Statistics, Survival Analysis, Longitudinal Data Analysis
ADMINISTRATIVE CONTACT
UID
u5260803
Name
Ms Anna Pickering
anna.pickering@anu.edu.au
Phone
02 6125 9045
ADD LECTURERS, TUTORS OR DEMONSTRATORS BELOW
ROLE UI D NAM E PHONE EM AI L STUDENT
CONSULTATI ON
DAY
HOURS (FROM )
E.G. 15 :00
HOURS (TO)
E.G. 16:00
Lecturer u4356489 Abhinav Mehta 02 6125 1081 Abhinav.Mehta@anu.edu.au Tuesday 14:00 16:00
TUTORIAL REGISTRATION
Tutorials will be available on campus, live through scheduled Zoom sessions and as pre-recorded videos. ANU utilises MyTimetable to enable students to view the timetable for
their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable
webpage. https://www.anu.edu.au/students/program-administration/timetabling].
SUPPORT FOR STUDENTS
The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student
Administrators, or your College and Course representatives (if applicable).
• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Access and inclusion for students with a disability or ongoing or chronic illness
• ANU Dean of Students for condential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
• ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
• ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
• ANUSA supports and represents undergraduate and ANU College students
• PARSA supports and represents postgraduate and research students
Class Overview
CLASS STRUCTURE AND CONTENT
WEEK/SESSI ON
NUM BER
SUM M ARY OF ACTI VI TI ES ASSESSM ENT AND OTHER I NFORM ATI ON
1 Introduction. Getting started with R. Simple Linear Regression (revision).
Parameter interpretation/estimation.
No tutorials in week 1
2 Properties of least squares estimators. ANOVA.
3 Hypothesis testing and interval estimation in a SLR context. Prediction intervals.
4 Regression diagnostics (residual plots). Outliers and inuential observations.
5 Scale transformations. Matrix approach to linear regression. Wattle Quiz
6 Introduction to Multiple Regression. Model interpretation and estimation. Submission of Assignment 1 via Wattle
7 Model interpretation continued.
8 ANOVA for multiple regression. Sequential sum of squares.
9 Qualitative covariates in multiple regression.
10 Model diagnostics. Outlier detection. Types of residuals. Inuence diagnostics.
Multicollinearity.
Submission of Assignment 2 via Wattle
11 Model selection and criteria for comparing models.
12 Course review.
RESEARCH-LED TEACHING
The material covered in this course covers established principles in actuarial work and academia.
FIELD TRIPS IF RELEVANT
ADDITIONAL CLASS COSTS
Students will need a non-programmable scientic calculator.
REQUIRED RESOURCES
Required Texts
Applied Linear Regression Models (4th Edition): by Michael H. Kutner, Christopher J. Nachtsheim, John Neter. ISBN: 9780073014661
The ebook can be found in the ANU library here.
Technology and Software
The application of modern statistical techniques requires familiarity with a statistical computing package. Examples provided in lectures, tutorials, and work related to the
assignments will entail the use of the statistical computer packages R and RStudio, which are freely available at www.r−project.org and https://www.rstudio.com. The program
code used for examples provided in lectures and tutorials will be available on the course Wattle site.
RECOMMENDED RESOURCES
For students who would like additional help getting started with R, I also recommend:
• Chester Ismay and Albert Y. Kim. (2017) Modern Dive: An Introduction to Statistical and Data Sciences via R (freely available from http://moderndive.com).
EXAMINATION MATERIAL OR EQUIPMENT
The nal exam will be conducted remotely via Wattle with limited timeframes and using the Proctorio or other online invigilation software which will be advised no later than Week
10 of the semester.
Assessment Tasks
ASSESSMENT SUMMARY
TASK NUM BER VALUE (%) DUE DATE (YYYY-M M -DD) OR BLANK RETURN OF ASSESSM ENT DATE
(YYYY-M M -DD) OR BLANK
LI NKED LEARNI NG OUTCOM ES
1 5 2023-03-20 2023-03-24 2,3
2 15 2023-03-30 2023-04-21 1,2,3
3 15 2023-05-11 2023-05-26 1,2,3,4,5
4 65 2023-06-01 2023-06-29 1,2,3,4,5,6
ASSESSMENT TASK #
Assessment Task 1
Assessment Task 2
Assessment Task 3
Assessment Task 4
Name of Assessment Task:
Wattle Quiz
Details of Task:
The students are to complete this quiz individually. The quiz will be made available on Wattle for you to complete in week 5. The quiz will be available for a short window
that week with more details provided during the lectures and on the Wattle page. This quiz is worth 5% of the nal raw score and is not redeemable.
Name of Assessment Task:
Assignment 1
Details of Task:
The students are to complete this assignment individually. This assignment is designed to cover materials about Simple Linear Regression. It is worth 15% of the nal
raw score and is not redeemable. The assignment and further details will be made available in week 4 on Wattle. It will be due at COB on Thursday in Week 6. It will
involve using R to analyse data from a case study, then organize and edit the R output and prepare a written report on your analyses, as well as some proofs.
Name of Assessment Task:
Assignment 2
Details of Task:
The students are to complete this assignment individually. This assignment is designed to cover materials about Multiple Regression. It is worth 15% of the nal raw
score and is not redeemable. The assignment and further details will be made available in week 8 on Wattle. It will be due at COB on Thursday in Week 10. It will involve
using R to analyse data from a case study, then organize and edit the R output and prepare a written report on your analyses, as well as some proofs.
Name of Assessment Task:
Final Examination
Details of Task:
The students are to complete this assessment individually. The nal exam will be held during the exam period with details to be advised no later than teaching week 10
of the semester. This is a compulsory piece of assessment which will be a 4-hour written exam to be held during the end of the semester examination period.
Examination materials and conditions will be notied to all students via Wattle no later than week 10 of the semester. Centrally scheduled examinations through
Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information.
PARTICIPATION
Course content delivery will take the form of weekly on-campus lectures (recorded and available via echo360 on Wattle), weekly online (Zoom) workshops (recorded) and weekly
tutorials, delivered in a hybrid format (on campus, live through scheduled Zoom sessions and as pre-recorded videos). Weekly consultations with the lecturer and the tutor(s) will
be conducted over Zoom.
EXAMINATION(S)
Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further
information. Any student identied, either during the current semester or in retrospect, as having used ghostwriting services will be investigated under the University’s Academic
Misconduct Rule.
Assignment Submission
ASSESSMENT REQUIREMENTS
The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to
managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software
is not technically possible; or where not using Turnitin software has been justied by the Course Convener and approved by the Associate Dean (Education) on the basis of the
teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission
methods as approved by the Associate Dean (Education). The submission method is detailed below.
ONLINE SUBMISSION
You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption
has been approved by the Associate Dean (Education) submission must be through Turnitin.
HARDCOPY SUBMISSION
There is no hardcopy submission in the course.
EXTENSIONS AND PENALTIES
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment
pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have
documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due
date.
LATE SUBMISSION
No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date then a penalty of 5% per
working day will be applied to your marked assignment up to a maximum of 10 working days after the due date. Any submissions after this period will be marked 0.
RETURNING ASSIGNMENTS
The marked assignments will be returned online.
RESUBMISSION OF ASSIGNMENTS
It will not be possible for assignments to be resubmitted.
Related Policies and Other Information
EDUCATIONAL POLICIES
ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement
them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:
• Academic Integrity Policy and Procedure
• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Guideline and General Information
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure
• Code of practice for teaching and learning
MARK MODERATION
Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some
moderation of marks might be applied prior to nal results being released.
REFERENCING REQUIREMENTS
The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing
requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.
DISTRIBUTION OF GRADES
Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports
on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualication
type learning outcomes.
Since rst semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
PRIVACY NOTICE
The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users rst agreeing to the
database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the
database licensor and submit personal information, including their: rst name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’
in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may
be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these
circumstances students should contact their lecturer to enquire about alternative arrangements that are available.
ACADEMIC INTEGRITY
Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle
commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly,
responsibly and ethically, and with respect and fairness, in scholarly practice.
The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and
Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualications.
The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy
and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies
to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.
The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All
coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity
training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as
well as understanding and upholding academic integrity.
OTHER INFORMATION TO BE PUBLISHED ON P&C
Support for Students
The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/
Communication via Email
If I, or anyone in the School, College or University administration, need to contact you, we will do so via your ocial ANU student email address, which you need to check regularly. If
you have any questions for the teaching and course convenor make sure you email them using your ANU email address. Emails from personal email accounts will not be answered.
Announcements
Students are expected to check the Wattle site for announcements about this course, e.g. changes to timetables or notications of cancellations.
Assessment Requirements
Any student identied, either during the current semester or in retrospect, as having used ghostwriting services will be investigated under the University’s Academic Misconduct
Rule.
Scaling
Your nal mark for the course will be based on the raw marks allocated for each of your assessment items. However, your nal mark may not be the same number as produced by
that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark
will exceed the scaled mark of that student), and may be either up or down.
Referencing Requirements
In assignments and exams, students must appropriately reference any results, words, or ideas that they take from another source that is not their own. A guide can be found
at https://academicskills.anu.edu.au/resources/handouts/referencing-basics.
Co-Teaching
STAT2008 shares the same lecture content and assignments as STAT2014 and STAT6014, however, these cohorts may have separate tutorials and different assessments.
Students in STAT2014 and STAT6014 also have some additional lecture content that STAT2008 students are not required to take. The different cohorts of students will also be
treated separately in grading and any scaling that is applied. Contact the convener of the Bachelor of Actuarial Studies if you are unsure whether to enrol in STAT2008, STAT2014
or STAT6014.
OTHER INFORMATION THAT WILL NOT BE PUBLISHED
Feedback
STAFF FEEDBACK TO STUDENTS
Students will be given feedback (through both verbal and written comments) in the following forms in this course:
• To the whole class during lectures.
• Within tutorials.
• Individually during consultation hours.
Students will also be given online quiz feedback on Wattle and written comments in the marked assignments.
STUDENT FEEDBACK
ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course
Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of
Learning & Teaching (SELT) feedback program. SELT surveys are condential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching,
and opportunities for improvement.
HAS A CHANGE BEEN MADE TO THIS CLASS SUMMARY AS THE
RESULT OF A SELT FINDING?
NO
