• Class Number 5701
  • Term Code 3360
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Quanling Deng
  • 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
    • Jipei Chen
SELT Survey Results

Within this course, special topics may be offered that vary from year to year. Admission to the course is at the discretion of the Director of the Research School of Computer Science. 

Learning Outcomes

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

Learning Outcomes will be determined for each individual student and recorded in an 'Independent Study Contract' at the beginning of the course.

Research-Led Teaching

This is an introductory course on numerical computation with a focus on computer program realization using Julia. The course covers topics such as roots of non-linear equations, function approximation with series expansions, polynomial interpolation and data fitting, algorithms for solving linear systems of equations, quadrature rules for numerical integration, difference rules for numerical differentiation, and a tentative topic on numerical methods for differential equations. Emphasis is made on algorithm development implementation in Julia and the basic mathematical ideas behind the algorithms. Learning to use Julia will be an important part of the course. For more information, see course page: https://quanlingdeng.github.io/comp2710.html

Required Resources

Computer with Julia (free) software

  • Bezanson, Jeff, Alan Edelman, Stefan Karpinski, and Viral B. Shah. “Julia: A fresh approach to numerical computing.” SIAM review 59, no. 1 (2017): 65-98.
  • Tobin A. Driscoll, Richard J. Braun. Fundamentals of Numerical Computation: Julia Edition (freely available at https://tobydriscoll.net/fnc-julia/frontmatter.html)

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

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). 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.

Class Schedule

Week/Session Summary of Activities Assessment
1 Limites and Derivatives
2 Taylor series
3 Root-finding algorithms
4 Integration and Approximations
5 Interpolation and Convergence
6 Linear systems
7 Matrix algorithms

Tutorial Registration

We will have tutorial/lab sessions on Mondays 14:00 pm - 16:00 pm at CSIT N109; see details at https://quanlingdeng.github.io/comp2710.html

Assessment Summary

Assessment task Value Due Date
Assignment 1 & Assignment 2 10 % *
Final Exam 20 % 27/10/2023
30 % *

* 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:

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 ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

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.


No particular participation requirements but you may consider the in-class quizzes as one.

Assessment Task 1

Value: 10 %
Learning Outcomes: 

Assignment 1 & Assignment 2

Each assignment includes two components: Julia coding and theoretic understanding. Latex typed and submission by PDF files. No late submission.

Assessment Task 2

Value: 20 %
Due Date: 27/10/2023
Learning Outcomes: 

Final Exam

The final exam is designed to test the mathematical understanding of the topics covered in lectures. Closed book. The exam date is to be assigned by the central. We will announce the date and details in the lectures.

Assessment Task 3

Value: 30 %
Learning Outcomes: 

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community 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 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 University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

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

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, a mark of 0 will be awarded.

Referencing Requirements

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.

Returning Assignments

  1. Quizzes are returned one week after.
  2. Assignments, project reports, final exams, are returned two weeks after.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions 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 resubmissions.

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).
Dr Quanling Deng

Research Interests

See here at https://quanlingdeng.github.io/

Dr Quanling Deng

Friday 14:00 15:00
Jipei Chen

Research Interests

Jipei Chen


Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions