Learning outcome
1.1

1.1 Demonstrate a coherent understanding of the mathematical sciences.

2.1

2.1 Exhibit depth and breadth of knowledge in the mathematical sciences.

3.1

3.1 Investigating and solving problems using mathematical and statistical methods.

4.1

4.1 Communicate mathematical and statistical information, arguments, or results for a range of purposes using a variety of means.

5.1

5.1 Demonstrate personal, professional and social responsibility.

A1

<p>Formulate advanced problems in science and engineering as mathematical problems involving concepts such as ordinary differential equations, systems of ordinary differential equations and partial differential equations.</p>

A2

<p>Analyse and interpret results produced by a mathematical model in the context of differential equations.</p>

K1

<p>Recognise common principles in a variety of real-life applications of mathematical modelling.</p>

K2

<p>Describe how mathematics can model phenomena in nature and science.</p>

K3

<p>Describe important concepts of advanced mathematics, including ordinary differential equations.</p>

K4

<p>Recognise the importance of rigour and structure when solving mathematics problems.</p>

S1

<p>Classify and identify different types of differential equations.</p>

S2

<p>Apply various methods of solutions for solving advanced ordinary differential equations, systems of ordinary differential equations and partial differential equations.</p>

S3

<p>Calculate approximate solutions of differential equations using numerical methods.</p>

S4

<p>Use basic statistical concepts and hypothesis testing to solve problems in science and engineering.</p>

S5

<p>Utilise MATLAB to assist in the solution and investigation of problems.</p>

Learning outcome
1.1

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

1.2

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.

1.3

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.

1.4

1.4 Discernment of knowledge development and research directions within the engineering discipline.

1.5

1.5 Knowledge of contextual factors impacting the engineering discipline.

1.6

1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.

2.1

2.1 Application of established engineering methods to complex engineering problem solving.

2.2

2.2 Fluent application of engineering techniques, tools and resources.

2.3

2.3 Application of systematic engineering synthesis and design processes.

2.4

2.4 Application of systematic approaches to the conduct and management of engineering projects.

3.1

3.1 Ethical conduct and professional accountability.

3.2

3.2 Effective oral and written communication in professional and lay domains.

3.3

3.3 Creative, innovative and pro-active demeanour.

3.4

3.4 Professional use and management of information.

3.5

3.5 Orderly management of self, and professional conduct.

3.6

3.6 Effective team membership and team leadership.

A1

<p>Formulate advanced problems in science and engineering as mathematical problems involving concepts such as ordinary differential equations, systems of ordinary differential equations and partial differential equations.</p>

A2

<p>Analyse and interpret results produced by a mathematical model in the context of differential equations.</p>

K1

<p>Recognise common principles in a variety of real-life applications of mathematical modelling.</p>

K2

<p>Describe how mathematics can model phenomena in nature and science.</p>

K3

<p>Describe important concepts of advanced mathematics, including ordinary differential equations.</p>

K4

<p>Recognise the importance of rigour and structure when solving mathematics problems.</p>

S1

<p>Classify and identify different types of differential equations.</p>

S2

<p>Apply various methods of solutions for solving advanced ordinary differential equations, systems of ordinary differential equations and partial differential equations.</p>

S3

<p>Calculate approximate solutions of differential equations using numerical methods.</p>

S4

<p>Use basic statistical concepts and hypothesis testing to solve problems in science and engineering.</p>

S5

<p>Utilise MATLAB to assist in the solution and investigation of problems.</p>