# CECS Professional Skills Mapping

## ENGN6628 — Network Optimisation and Control

code: ENGN6628 Network Optimisation and Control 6 Network Optimisation and Control is the study of operation and decision-making over networks. The knowledge and tools in this course can be used in various engineering domains such as communication networks, robotics, smart grids, intelligent transportation systems, biomedical engineering, and financial markets. The emphasis of this course will be on basic continuous state-space optimization theories, dynamic programming principles, linear quadratic optimal control, constrained optimal control and receding horizon control, and distributed control of complex networks. https://programsandcourses.anu.edu.au/course/ENGN6628 Address systematically, understandings of various optimization problems in engineering and in particular continuous state-space convex programming.Apply numerical methods to solve complex optimization problems.Model and analyse network flow problems and apply dynamic programming principles to solve shortest path problems.Define the importance of optimality in feedback control design and derive solutions to linear quadratic optimal control.Design and implement receding horizon controllers based on constrained optimal control.Develop distributed controllers for complex network systems. Exam (40%)Computer laboratory (20%)Hardware laboratory (10%)Design project presentation (10%)Design project report (20%)

### Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.612345
1. Address systematically, understandings of various optimization problems in engineering and in particular continuous state-space convex programming.
1. Apply numerical methods to solve complex optimization problems.
1. Model and analyse network flow problems and apply dynamic programming principles to solve shortest path problems.
1. Define the importance of optimality in feedback control design and derive solutions to linear quadratic optimal control.
1. Design and implement receding horizon controllers based on constrained optimal control.
1. Develop distributed controllers for complex network systems.

### 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