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CYBER ALGORITHMS THAT CHANGED THE FUTURE

CSE1ACF

2020

Credit points: 15

Subject outline

This subject introduces core algorithms in cybersecurity that support confidentiality, integrity and availability in information systems. Students will be exposed to the conception, design and implementation processes for new algorithms as they relate to cybersecurity. Real-world case studies from intelligence analysis, fraud, databases, networks and firewalls will be used to illustrate how algorithms can be applied to solve problems. This subject does not require prior knowledge of computer programming.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Nalin Gamagedara Arachchilage

Available to Study Abroad/Exchange Students: No

Subject year level: Year Level 1 - UG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: N/A

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Nine Algorithms That Changed The Future.

Resource Type: Book

Resource Requirement: Prescribed

Author: MacCormick, J.

Year: 2013

Edition/Volume: N/A

Publisher: Princeton University Press

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

COMMUNICATION - Cultural Intelligence and Global Perspective
DISCIPLINE KNOWLEDGE AND SKILLS
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry
PERSONAL AND PROFESSIONAL - Adaptability and Self-Management
PERSONAL AND PROFESSIONAL - Ethical and Social Responsibility

Intended Learning Outcomes

01. Demonstrate foundation knowledge in the latest algorithms for cybersecurity
02. Define requirements for cybersecurity algorithms and ordered steps in a formal language
03. Review algorithms in solving cybersecurity problems
04. Interpret the steps required to correctly execute an algorithm
05. Describe the performance, accuracy and reliability of algorithms using real-world data

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Nalin Gamagedara Arachchilage

Class requirements

Computer LaboratoryWeek: 32 - 43
One 2.00 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
Two 1.00 hour lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

2 x 30 minute Lab quizzes (30 minutes each. Total equivalent to 1000 words)

N/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4, SILO5

Written report on algorithms in solving cybersecurity problems (equivalent to 500 words)

N/AN/AN/ANo10SILO2, SILO3

Written report on the performance, accuracy & reliability of algorithms in Cyber (equiv 1000 words)

N/AN/AN/ANo20SILO5

2 hour Examination

N/AN/AN/ANo50SILO1, SILO2, SILO3, SILO4, SILO5