• Class Number 7515
  • Term Code 3360
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Ahad N. Zehmakan
    • Dr Pascal Bercher
  • 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

Algorithms are the foundation of Computer Science. They enable advances in Artificial Intelligence, Machine Learning, Cybersecurity, Distributed, Mobile, and Cloud Computing, Computer Graphics and Animation, and many more. These advances have made Computer Science an indispensable part of our everyday life.

The main goal of this course is to familiarize students with basic concepts in the design and analysis of algorithms and data structures. It focuses on fundamental computing problems such as sorting and searching. The students will learn how to use different algorithm design methods and data structures to solve such problems efficiently, as well as basic performance measures and analysis techniques.

Learning Outcomes

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

  1. Display a solid understanding of classical algorithms for fundamental computing problems such as sorting and searching and their analysis.
  2. Demonstrate deep knowledge of various data structures, such as binary search trees and heaps, and their applications.
  3. Design efficient algorithms using techniques such as divide-and-concur, greedy approaches, and dynamic programming.
  4. Analyse the time and space complexity of algorithms.

Recommended resources will be made available on our webpage.

The following textbook will be used for this course:

T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein. Introduction to Algorithms. MIT Press, 3rd Ed., 2009.

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 group etc.

Feedback (to assignment 1) will also be provided before the Census date.

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 Asymptotic Analysis
2 Recurrence Analysis Publication of Assignment 1
3 Search Problems
4 Probabilistic Analysis and Randomized Algorithms
5 Sorting Algorithms
6 Binary Search Trees, Heaps, and AVL Trees Return of Assignment 1
7 Red-Black Trees Mid-semester Assessment
8 Hash Tables Publication of Assignment 2
9 Introduction to Dynamic Programming
10 Advanced Dynamic Programming
11 Greedy Algorithms
12 Complexity Theory Return of Assignment 2

Tutorial Registration

Students choose their tutorials via MyTimetable.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Assignment 1 15 % 15/08/2023 29/08/2023 1,4
Mid-semester assessment 30 % * * 1,4
Assignment 2 15 % 10/10/2023 24/10/2023 2
Final exam 40 % * * 2,3,4

* 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 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.

Assessment Task 1

Value: 15 %
Due Date: 15/08/2023
Return of Assessment: 29/08/2023
Learning Outcomes: 1,4

Assignment 1

Individual assessment. Covers all material from weeks 1 to 3. Feedback to this assignment will be returned before the Census date.

Assessment Task 2

Value: 30 %
Learning Outcomes: 1,4

Mid-semester assessment

Covers all material from weeks 1 to 5.

Assessment Task 3

Value: 15 %
Due Date: 10/10/2023
Return of Assessment: 24/10/2023
Learning Outcomes: 2

Assignment 2

Individual assessment. Covers all material from weeks 6 to 8.

Assessment Task 4

Value: 40 %
Learning Outcomes: 2,3,4

Final exam

Covers all material from weeks 6 to 12. The final exam will be scheduled during the formal exam period.

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

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

Submissions after the due date are not allowed and will be awarded a mark of 0.

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 returned via Wattle.

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

Students may re-submit assignments as often as they chose until the deadline.

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 Ahad N. Zehmakan

Research Interests

Dr Ahad N. Zehmakan

By Appointment
Dr Pascal Bercher

Research Interests

Dr Pascal Bercher


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