menu

CECS Professional Skills Mapping

COMP3620 — Artificial Intelligence

code: COMP3620
name: Artificial Intelligence
unit value: 6
description: Artificial intelligence is the science that studies and develops methods of making computers more "intelligent". The focus of this course is on core AI techniques for search, knowledge representation and reasoning, planning, and designing intelligent agents. The course also aims to give an overview of the historical, philosophical, and logical foundations of AI.
P&C: https://programsandcourses.anu.edu.au/course/COMP3620
course learning outcomes:
  1. Be able to identify problems that are amenable to solution by AI methods
  2. Be able to identify which AI methods may be suited to solving a given problem
  3. Be able to formalise a given problem in the language/framework of different AI methods (e.g., as a search problem, as a constraint satisfaction problem, as a planning problem, etc).
  4. Be able to implement basic AI algorithms (e.g., standard search or constraint propagation algorithms).
  5. Be able to design and perform an empirical evaluation of different algorithms on a problem formalisation, and state the conclusions that the evaluation supports
assessment:
  1. Quizzes (12%)
  2. Assignment 0 (8%)
  3. Assignment 1 (10%)
  4. Assignment 2 (10%)
  5. Assignment 3 (10%)
  6. Exam (50%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.6123456
  1. Be able to identify problems that are amenable to solution by AI methods
✓✓✓✓✓✓
  1. Be able to identify which AI methods may be suited to solving a given problem
✓✓✓✓✓✓✓✓✓
  1. Be able to formalise a given problem in the language/framework of different AI methods (e.g., as a search problem, as a constraint satisfaction problem, as a planning problem, etc).
✓✓✓✓✓✓✓✓✓
  1. Be able to implement basic AI algorithms (e.g., standard search or constraint propagation algorithms).
✓✓✓✓✓✓✓✓
  1. Be able to design and perform an empirical evaluation of different algorithms on a problem formalisation, and state the conclusions that the evaluation supports
✓✓✓✓✓

Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

1. KNOWLEDGE AND SKILL BASE
1.1
 
1.2
 
1.3
 
1.4
 
1.5
 
1.6
 
2. ENGINEERING APPLICATION ABILITY
2.1
 
2.2
 
2.3
 
2.4
 
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1
3.2
3.3
3.4
3.5
3.6

Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
✓1.1Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
✓1.2Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
✓1.3In depth understanding of specialist bodies of knowledge within the engineering discipline.
✓1.4Discernment of knowledge development and research directions within the engineering discipline.
✓1.5Knowledge of contextual factors impacting the engineering discipline.
✓1.6Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
✓2.1Application of established engineering methods to complex engineering problem solving.
✓2.2Fluent application of engineering techniques, tools and resources.
✓2.3Application of systematic engineering synthesis and design processes.
✓2.4Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1Ethical conduct and professional accountability.
3.2Effective oral and written communication in professional and lay domains.
3.3Creative, innovative and pro-active demeanour.
3.4Professional use and management of information.
3.5Orderly management of self, and professional conduct.
3.6Effective team membership and team leadership.

Updated:  18 February 2021/ Responsible Officer:  Dean, CECS/ Page Contact:  CECS Academic Education Services