• Class Number 5761
  • Term Code 3360
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • AsPr Dale Roberts
  • LECTURER
    • AsPr Dale Roberts
  • Class Dates
  • Class Start Date 24/07/2023
  • Class End Date 27/10/2023
  • Census Date 31/08/2023
  • Last Date to Enrol 31/07/2023
SELT Survey Results

An introduction to stochastic processes, which are random processes occurring in time or space.

They are used to model dynamic relationships involving random events in a wide variety of disciplines including the natural and social sciences, and in financial, managerial and actuarial settings.

The course consists of a short review of basic probability concepts and a discussion of conditional probability and conditional expectation, followed by an introduction to the basic concepts and an investigation of the long-run behaviour of Markov chains in discrete time, countable state space. The course also covers some important continuous-time stochastic processes including Poisson processes and other Markov pure jump processes, as well as Brownian motion and other related Gaussian processes as time permits.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Decsribe in detail the basic concepts of stochastic processes in discrete time, especially concerning Markov chains, their classifications and long-run behaviour; and
  2. Explain in detail continuous-time stochastic processes, with topics drawn from: Poisson Processes other Markov pure jump processes Brownian motion Other related Gaussian processes

Research-Led Teaching

Although the material in this course may be considered classic, the course will be taught through a modern lens motivated by recent research papers, seminar talks on the topic, and the lecturer's personal research interests. Various applications will be explored and mentioned.

Examination Material or equipment

You will require access to a computer, camera (phone or otherwise), and reliable access to Wattle for the final examination.

Required Resources

None. Resources (research papers, etc) and lecture notes will be provided throughout the semester.

Purchase of textbooks is not required for this course. However, if more resources are desired, a common book on the topic is:

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus groups etc.

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 confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Course motivation. Refresher on probability theory
2 Further tools from probability theory: conditional expectations, moment generating functions, etc.
3 Random walks 1
4 Markov chains 1 Assignment 1 due
5 Markov chains 2
6 Markov chains 3
7 Markov chains 4 Assignment 2 due
8 Random walks 2
9 Random walks 3
10 Brownian motion 1
11 Brownian motion 2 Assignment 3 due
12 Poisson processes

Tutorial Registration

Tutorial registration will be available two weeks prior to the beginning of the semester and will close at the end of week 1. More details can be found on the Timetable webpage. https://www.anu.edu.au/students/program-administration/timetabling.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Assignment 1 13 % 14/08/2023 28/08/2023 1
Assignment 2 14 % 25/09/2023 09/10/2023 1
Assignment 3 13 % 16/10/2023 30/10/2023 2
Final Examination 60 % 02/11/2023 30/11/2023 1,2

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

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:

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 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.

Participation

This course has 4 hours of contact time per week, this consists of:

(a) In-person weekly lectures where the theory material is covered (2 hours). These lectures will be held on campus and recorded.

(b) A 1 hour weekly workshop where applications and illustrations of the theory are demonstrated. These workshops will be held on campus.

(c) A weekly tutorial (1 hour) where you get the opportunity to practice what you have learnt. These tutorials will be held on campus.

Students are encouraged to attend all of these sessions on a weekly basis to take notes and ask questions.

Examination(s)

Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information.

Assessment Task 1

Value: 13 %
Due Date: 14/08/2023
Return of Assessment: 28/08/2023
Learning Outcomes: 1

Assignment 1

This assessment is to be done individually. The assignment will be a take-home assessment that will typically involve a mix of ‘pen-and-paper’ questions and/or a ‘computational’ questions. The question(s) will cover material that has been seen in previous lectures and are aimed at ensuring students are routinely studying the material. The assessment will be released two weeks before the due date. The assessment will be submitted in Wattle using TurnitIn by 9:00am on the due date and marks/feedback will be given on the 'Return of Assessment Date'. Assignments will be graded and returned on Wattle via TurnitIn.

Assessment Task 2

Value: 14 %
Due Date: 25/09/2023
Return of Assessment: 09/10/2023
Learning Outcomes: 1

Assignment 2

This assessment is to be done individually. The assignment will be a take-home assessment that will typically involve a mix of ‘pen-and-paper’ questions and/or a ‘computational’ questions. The question(s) will cover material that has been seen in previous lectures and are aimed at ensuring students are routinely studying the material. The assessment will be released two weeks before the due date. The assessment will be submitted in Wattle using TurnitIn by 9:00am on the due date and marks/feedback will be given on the 'Return of Assessment Date'. Assignments will be graded and returned on Wattle via TurnitIn.

Assessment Task 3

Value: 13 %
Due Date: 16/10/2023
Return of Assessment: 30/10/2023
Learning Outcomes: 2

Assignment 3

This assessment is to be done individually. The assignment will be a take-home assessment that will typically involve a mix of ‘pen-and-paper’ questions and/or a ‘computational’ questions. The question(s) will cover material that has been seen in previous lectures and are aimed at ensuring students are routinely studying the material. The assessment will be released two weeks before the due date. The assessment will be submitted in Wattle using TurnitIn by 9:00am on the due date and marks/feedback will be given on the 'Return of Assessment Date'. Assignments will be graded and returned on Wattle via TurnitIn.

Assessment Task 4

Value: 60 %
Due Date: 02/11/2023
Return of Assessment: 30/11/2023
Learning Outcomes: 1,2

Final Examination

The final examination is worth 60% of the final raw score. Examination materials and conditions will be notified to all students via Wattle no later than Week 10 of the semester. The exam will be centrally timetabled, and details of the final examination timetable will be made available on the ANU Timetabling website. The final exam will be invigilated and held on-campus. It will be 3 hours in length with 10 minute reading time.

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 qualifications.


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.

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

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Late submission of assignments will incur a penalty of 5% per working day. Further, any late assessment tasks will not to be accepted after the earlier of the following: (1) The tenth working day after the due date; or, (2) The date specified in the class summary for the return of the assessment item.

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.

Returning Assignments

Assignments will be graded and returned on Wattle via TurnitIn. Students are encouraged to use the consultation time of the tutor and lecturer to obtain further feedback if necessary.

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.

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 first 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: first 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.

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).

AsPr Dale Roberts
61257336
dale.roberts@anu.edu.au

Research Interests


Probability theory, stochastic processes, and their application to large-scale data science problems.

AsPr Dale Roberts

Monday 10:00 11:00
Monday 10:00 11:00
AsPr Dale Roberts
57336
dale.roberts@anu.edu.au

Research Interests


AsPr Dale Roberts

Monday 10:00 11:00
Monday 10:00 11:00

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