- Class Number 6279
- Term Code 3160
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- William Lim
- William Lim
- Class Dates
- Class Start Date 26/07/2021
- Class End Date 29/10/2021
- Census Date 14/09/2021
- Last Date to Enrol 02/08/2021
This course aims to extend actuarial students' knowledge of modern analytical tools and techniques beyond those introduced in introductory actuarial courses. It further aims to to teach students how to apply this knowledge in real-life business settings, preparing them for more complex and practice specific applications which will be taught in future courses in their actuarial education.
This subject provides the opportunity for exemption from the requirements of the Core Data & Statistical Analysis subject under the Actuaries Institute’s Associate program. Such exemption depends on the grades attained in the subject.
Upon successful completion, students will have the knowledge and skills to:
- explain where and how their analytical work can add value to the business environment and strategy;
- source, interpret, evaluate and prepare data for modelling;
- select and justify appropriate predictive analytic techniques for a given business problem;
- apply predictive analytic techniques to solve estimation and classification problems;
- evaluate and compare performance of different models; and
- communicate findings to a range of audiences.
William has years of professional practice in the field of data analytics. The course will address current issues of interest and current approaches to data analytics, drawing examples from his professional experience and research topics.
Examination Material or equipment
The final examination will be a Wattle-based (Proctorio) online exam during the university examination period at the end of semester. The final examination will be 3 or 4 hour long and cover the entire syllabus. It will be open book and all materials are permitted. The exam is centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information.
The use of R and Word is required for the completion of all assessment in this course. You are assumed to have experience in R and Word from previous courses. R and Word may be used on campus (if computer labs are open) or on the students’ personal computers or laptops. Word are available for free to ANU students through Microsoft Office 365. R and its user interface R Studio are as freely available at the links provided.
We will be using some materials from the following books throughout the semester:
(1) R for Data Science , by Wickham and Grolemund
(2) An Introduction to Statistical Learning , by James, Witten, Hastie and Tibshirani
(3) The Elements of Statistical Learning , by Hastie, Tibshirani and Friedman
The electronic versions of these books are freely available online from the corresponding authors. The relevant readings for each week will be provided in lecture time and on Wattle. Other relevant reading and reference material will be made available on Wattle throughout the semester.
Students will be given feedback (through both verbal and written comments) in the following forms:
- Whole of class feedback in-lecture and via discussion forums
- Online quiz feedback
- Written comments on assignment submissions
- Individual comment and feedback with the course convenor and/or tutor as organised by students
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). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.
|Week/Session||Summary of Activities||Assessment|
|1||Introduction and data exploration||No workshop in week 1|
|2||Data manipulation and visualisation|
|3||Modelling principles and processes I|
|4||Modelling principles and processes II|
|5||Business outcomes and communication I||Quiz|
|6||Linear regression and GLM|
|7||Shrinkage techniques||Assignment 1 due|
|9||Gradient boosting method|
|10||Neural network and others|
|11||Business outcomes and communication II||Assignment 2 due|
|12||Modelling process and exam preparation||There will be a Wattle-based (Proctorio) online final exam during the university examination period. More information and instruction regarding final exams will be provided no later than week 10.|
This course has no tutorials, but weekly workshops that start at week 2. Workshops will be delivered in hybrid format (on campus, live through Zoom sessions and as recorded videos). Information regarding enrolments for these options will be provided on Wattle no later than week one of the semester.
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Quiz||0 %||27/08/2021||27/08/2021||2, 3, 4, 5|
|Assignment 1||20 %||20/09/2021||04/10/2021||1, 2, 4, 5, 6|
|Assignment 2||20 %||22/10/2021||02/11/2021||1, 2, 3, 4, 5, 6|
|Final exam||60 %||04/11/2020||02/12/2020||1, 2, 3, 4, 5, 6|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
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 Misconduct Rule before the commencement of their course. Other key policies and guidelines include:
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 Integrity . In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified 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.
Moderation of Assessment
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 final results being released.
Lectures will be pre-recorded. Consultations will be live through Zoom. Workshops will be delivered in hybrid format (on campus, live through Zoom sessions and as recoded videos). Information regarding enrolments for these options will be provided on Wattle no later than week one of the semester.
The final examination will be a Wattle-based online (Proctorio) exam during the university examination period at the end of semester. The final examination will be 3 or 4 hour long and cover the entire syllabus. It will be open book and all materials are permitted. The exam will be centrally timetabled and details of the final examination timetable will be made available on the ANU Timetabling website.
Assessment Task 1
Learning Outcomes: 2, 3, 4, 5
This consists of a set of problems that will be made available on Wattle in Week 5. The problems will relate to material in Week 1 to Week 4 only (inclusive). The solution is immediately available to students on Wattle upon submission. This quiz is solely for self-assessment purposes and will not contribute towards students' final grades.
Assessment Task 2
Learning Outcomes: 1, 2, 4, 5, 6
Students are expected to complete this assignment individually. This assignment assesses topics covered from Week 1 to Week 6 (inclusive). Students are required to use R to perform data analysis and modelling, and prepare a written business report. This assignment is worth 20% of the total assessment. This assignment will be made available on 30 August (Week 6) and due on 20 September (Week 7). Assignment submission will consist of a Word or PDF (Portable Document Format) report uploaded to Wattle to the relevant Assignment activity through Turnitin. Students will be required to electronically sign a declaration as part of the submission of the assignment.
Assessment Task 3
Learning Outcomes: 1, 2, 3, 4, 5, 6
Students are expected to complete this assignment individually. This assignment assesses topics covered from Week 1 to Week 9 (inclusive). Students are required to use R to perform data analysis and modelling, synthesise complex information and problem, and prepare a written business report. This assignment is worth 20% of the total assessment. This assignment will be made available on 1 October (Week 8) and due on 22 October (Week 11). Assignment submission will consist of a Word or PDF (Portable Document Format) report uploaded to Wattle to the relevant Assignment activity through Turnitin. Students will be required to electronically sign a declaration as part of the submission of the assignment.
Assessment Task 4
Learning Outcomes: 1, 2, 3, 4, 5, 6
The final examination will be a Wattle-based (Proctorio) online exam during the university examination period at the end of semester. The final exam will covers all the materials throughout the duration of the semester. The final exam is a compulsory piece of assessment and worth 60% of the total assessment. The final exam will be held during the exam period with details to be advised no later than teaching week 10 of the semester.
Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.
The ANU commits to assisting all members of our community to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to be familiar with the academic integrity principle and Academic Misconduct Rule, uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with.
The Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.
Assignment submission will consist of a Word or PDF (Portable Document Format) report uploaded to Wattle to the relevant Assignment activity through Turnitin. 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.
The final examination will be a Wattle-based (Proctorio) online exam. Exam submission will consist of a Word or PDF (Portable Document Format) report uploaded to Wattle to the relevant Examination activity. You will be required to electronically sign a declaration as part of the submission of your exam. Please keep a copy of the exam for your records.
All assessment submission in the course is online (see above).
No submission of assignments without an extension after the due date will be permitted. If an assignment is not submitted by the due date, a mark of 0 will be awarded.
Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.
Assignment mark and comment will be returned via Wattle or email.
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.
Resubmission of Assignments
No resubmission of assignments is permitted.
Distribution of grades policy
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 qualification type learning outcomes.
Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
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 Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, 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