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CECS Professional Skills Mapping

COMP2100 — Software Design Methodologies

code: COMP2100
name: Software Design Methodologies
unit value: 6
description: This course continues to build on topics taught in the previous two courses. It focuses on construction of medium scale programs, using design patterns and tools that are used in the software development process. Students will gain further experience with industry standard revision control and integrated development environment (IDE) tools.

Students will learn appropriate application of programming abstractions they have learned in previous courses to the structuring of medium scale software: inheritance, generic types, polymorphism, procedural abstraction, and abstract recursive data structures (including abstract syntax trees as a program representation, and tools that manipulate them).

The course also covers more advanced data structures, such as priority queues, B-trees, red-black trees, and AVL trees, and deepens understanding of appropriate algorithmic strategies.

The course also treats intellectual property considerations in software development and deployment.
P&C: https://programsandcourses.anu.edu.au/course/COMP2100
course learning outcomes:
  1. Construct and modify small to medium scale computer programs
  2. Compare several forms of abstraction in object-oriented software design and construction: inheritance, design patterns, polymorphism, procedural abstraction, abstract recursive data structures (including abstract syntax trees); and to apply them appropriately in constructing programs.
  3. Use common programming knowledge resources to find, understand, and apply online manuals and tutorials for software tools, programming language components, and software libraries.
  4. Describe the underlying principles of three major aspects of software construction and to apply the appropriate tools: version control, unit testing, automatic build process.
  5. Understand fundamental concepts of GUIs and user interfaces; understand the basics of modeling and simulation
assessment:
  1. Lab 1 (2%)
  2. Lab 2 (2%)
  3. Lab 3 (2%)
  4. Lab 4 (2%)
  5. Lab 5 (2%)
  6. Assignment 1 (20%)
  7. Assignment 2 (20%)
  8. Final Exam (50%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.612345678
  1. Construct and modify small to medium scale computer programs
✓✓✓✓✓✓✓✓
  1. Compare several forms of abstraction in object-oriented software design and construction: inheritance, design patterns, polymorphism, procedural abstraction, abstract recursive data structures (including abstract syntax trees); and to apply them appropriately in constructing programs.
✓✓✓✓✓✓✓✓✓
  1. Use common programming knowledge resources to find, understand, and apply online manuals and tutorials for software tools, programming language components, and software libraries.
✓✓✓✓✓✓✓
  1. Describe the underlying principles of three major aspects of software construction and to apply the appropriate tools: version control, unit testing, automatic build process.
✓✓✓✓✓✓✓✓✓✓✓
  1. Understand fundamental concepts of GUIs and user interfaces; understand the basics of modeling and simulation
✓✓✓✓✓✓✓✓✓✓✓✓

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