COMP1100 - Introduction to Programming and Algorithms

COMP1100 - Introduction to Programming and Algorithms

Course Information

Programs and Courses

Public course web site


Engineers Australia Stage 1 Competency Summary

1. Knowledge and Skill base

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. tick
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4 Discernment of knowledge development and research directions within the engineering discipline.
1.5 Knowledge of engineering design practice and contextual factors impacting the engineering discipline.
1.6 Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline.

2. Engineering Application Ability

2.1 Application of established engineering methods to complex engineering problem solving.
2.2 Fluent application of engineering techniques, tools and resources.
2.3 Application of systematic engineering synthesis and design processes.
2.4 Application of systematic approaches to the conduct and management of engineering projects.

3. Professional and Personal Attributes

3.1 Ethical conduct and professional accountability.
3.2 Effective oral and written communication in professional and lay domains.
3.3 Creative, innovative and pro-active demeanour.
3.4 Professional use and management of information.
3.5 Orderly management of self, and professional conduct.
3.6 Effective team membership and team leadership.

Learning Outcomes to EA Stage 1 Competency Mapping

1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

1.1

1.2

1.3

1.4

1.5

1.6

2.1

2.2

2.3

2.4

3.1

3.2

3.3

3.4

3.5

3.6

1Describe and contrast various algorithmic components, and relate them to specific corresponding data structures. tick
2Analyse program fragments and explain their types, behaviours and effects. tick
3Design algorithmic solutions to simple problems and present their implementation in a functional programming language. tick
4Design data structures appropriate for the representation and implementation of simple algorithmic problems. tick
5Analyse small programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach. tick

ACS Software Engineering Area Summary

1Supporting knowledge of computer science including data structures and algorithms, programming, computer architecture, operating systems, file and database systems, data communications and networks tick
2Fundamental mathematical, abstraction and modelling skills tick
3Requirements elicitation and analysis
4Software design and architecture
5Software risk analysis
6Software implementation
7Software testing, verification, validation and quality assurance
8Software traceability and maintenance
9Configuration management
10Software engineering tools and metrics
11Software engineering process
12Software project management
13Distributed systems
14Basics of systems engineering
15Software engineering standards
16Mobile applications

Learning Outcomes to ACS Software Engineering Area Mapping

ACS Software Engineering Areas

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

1Describe and contrast various algorithmic components, and relate them to specific corresponding data structures. tick tick
2Analyse program fragments and explain their types, behaviours and effects. tick tick
3Design algorithmic solutions to simple problems and present their implementation in a functional programming language. tick tick
4Design data structures appropriate for the representation and implementation of simple algorithmic problems. tick tick
5Analyse small programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach. tick tick

Assessment Tasks

1

Initial Lab Assessment

2

Midterm Exam

3

Assignment 1

4

Assignment 2

5

Final Exam

Learning Outcomes to Assessment Task Mapping

Assessment Tasks

1

2

3

4

5

1Describe and contrast various algorithmic components, and relate them to specific corresponding data structures. tick tick tick tick tick
2Analyse program fragments and explain their types, behaviours and effects. tick tick tick tick tick
3Design algorithmic solutions to simple problems and present their implementation in a functional programming language. tick tick tick tick tick
4Design data structures appropriate for the representation and implementation of simple algorithmic problems. tick tick tick tick
5Analyse small programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach. tick tick tick tick

Updated:  28 Jul 2017/ Responsible Officer:  Head of School/ Page Contact:  Lecturer Name