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Showing 25 course outlines from 19204 matches

6376

ENGSCI 314

: Mathematical Modelling 3ES
2023 Semester One (1233)
Mathematical modelling using ordinary and partial differential equations, calculus of variations and statistical methods. Topics include: eigenvalues, eigenvectors, systems of equations, stability, separation of variables, wave and heat equations, Euler-Lagrange equation, Hamilton’s Principle, probability, random variables, common distributions, Poisson process, exploratory data analysis, confidence intervals, hypotheses tests, linear models including one-way and two-way ANOVA, ANCOVA and multiple regression, introduction to logistic regression.
Subject: Engineering Science
Prerequisite: ENGSCI 211
Restriction: ENGSCI 311, 313, 321
6377

ENGSCI 314

: Mathematical Modelling 3ES
2021 Semester One (1213)
Mathematical modelling using ordinary and partial differential equations. Topics include: probability, conditional probability, random variables as models of a population, common distribution models, the Poisson process, applications to reliability, exploratory data analysis, confidence intervals, tests of hypothesis, t-tests, sample tests and intervals, paired comparisons. Introduction to one-way ANOVA. Linear and polynomial regression, regression diagnostics.
Subject: Engineering Science
Prerequisite: ENGSCI 211
Restriction: ENGSCI 311, 313, 321
6378

ENGSCI 331

: Computational Techniques 2
2025 Semester Two (1255)
Methods for computing numerical solutions of mathematical models and data analytics problems with focus on translating algorithms to computer code. A selection of topics from numerical solution of linear and non-linear equations, eigen problems, ordinary and partial differential equations, databases, inverse problems and parameter estimation.
Subject: Engineering Science
Prerequisite: ENGSCI 233 Corequisite: ENGSCI 311 or 313 or 314
6379

ENGSCI 331

: Computational Techniques 2
2023 Semester Two (1235)
Methods for computing numerical solutions of mathematical models and data analytics problems with focus on translating algorithms to computer code. A selection of topics from numerical solution of linear and non-linear equations, eigen problems, ordinary and partial differential equations, databases, inverse problems and parameter estimation.
Subject: Engineering Science
Prerequisite: ENGSCI 233 Corequisite: ENGSCI 311 or 313 or 314
6380

ENGSCI 331

: Computational Techniques 2
2022 Semester Two (1225)
Methods for computing numerical solutions of mathematical models and data analytics problems with focus on translating algorithms to computer code. A selection of topics from numerical solution of linear and non-linear equations, eigen problems, ordinary and partial differential equations, databases, inverse problems and parameter estimation.
Subject: Engineering Science
Prerequisite: ENGSCI 233 Corequisite: ENGSCI 311 or 313 or 314
6381

ENGSCI 331

: Computational Techniques 2
2021 Semester Two (1215)
Methods for computing numerical solutions of mathematical models and data analytics problems with focus on translating algorithms to computer code. A selection of topics from numerical solution of linear and non-linear equations, eigen problems, ordinary and partial differential equations, databases, inverse problems and parameter estimation.
Subject: Engineering Science
Prerequisite: ENGSCI 233 Corequisite: ENGSCI 311 or 313 or 314
6382

ENGSCI 331

: Computational Techniques 2
2020 Semester Two (1205)
Methods for computing numerical solutions of mathematical models and data analytics problems with focus on translating algorithms to computer code. A selection of topics from numerical solution of linear and non-linear equations, eigen problems, ordinary and partial differential equations, databases, inverse problems and parameter estimation.
Subject: Engineering Science
Prerequisite: ENGSCI 233 Corequisite: ENGSCI 311 or 313 or 314
6383

ENGSCI 343

: Mathematical and Computational Modelling in Mechanics
2025 Semester One (1253)
Development of macroscopic models of physical systems using fundamental mathematical techniques and physical laws. Topics include vector and tensor calculus including indicial notation and integral theorems, conservation laws, control volumes and constitutive equations, continuum assumptions, isotropy and homogeneity. Possible applications include deformation, strain and stress, fluid flow, electromagnetism, reactive chemical transport, and kinetics.
Subject: Engineering Science
Prerequisite: BIOMENG 221 or MECHENG 242, and ENGSCI 211 or 213
Restriction: BIOMENG 321
6384

ENGSCI 343

: Mathematical and Computational Modelling in Mechanics
2024 Semester One (1243)
Development of macroscopic models of physical systems using fundamental mathematical techniques and physical laws. Topics include vector and tensor calculus including indicial notation and integral theorems, conservation laws, control volumes and constitutive equations, continuum assumptions, isotropy and homogeneity. Possible applications include deformation, strain and stress, fluid flow, electromagnetism, reactive chemical transport, and kinetics.
Subject: Engineering Science
Prerequisite: BIOMENG 221 or MECHENG 242, and ENGSCI 211 or 213
Restriction: BIOMENG 321
6385

ENGSCI 343

: Mathematical and Computational Modelling in Mechanics
2023 Semester One (1233)
Development of macroscopic models of physical systems using fundamental mathematical techniques and physical laws. Topics include vector and tensor calculus including indicial notation and integral theorems, conservation laws, control volumes and constitutive equations, continuum assumptions, isotropy and homogeneity. Possible applications include deformation, strain and stress, fluid flow, electromagnetism, reactive chemical transport, and kinetics.
Subject: Engineering Science
Prerequisite: BIOMENG 221 or MECHENG 242, and ENGSCI 211 or 213
Restriction: BIOMENG 321
6386

ENGSCI 343

: Mathematical and Computational Modelling in Mechanics
2020 Semester One (1203)
Development of macroscopic models of physical systems using fundamental mathematical techniques and physical laws. Topics include vector and tensor calculus including indicial notation and integral theorems, conservation laws, control volumes and constitutive equations, continuum assumptions, isotropy and homogeneity. Possible applications include deformation, strain and stress, fluid flow, electromagnetism, reactive chemical transport, and kinetics.
Subject: Engineering Science
Prerequisite: BIOMENG 221 or MECHENG 242, and ENGSCI 211 or 213
Restriction: BIOMENG 321
6387

ENGSCI 344

: Computational Design for Physical Systems
2025 Semester Two (1255)
Integrate sustainability and environmental considerations into computational engineering. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results. Enhance skills in sustainable decision-making and addressing environmental challenges.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
Restriction: ENGSCI 746
6388

ENGSCI 344

: Computational Design for Physical Systems
2024 Semester Two (1245)
Integrate sustainability and environmental considerations into computational engineering. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results. Enhance skills in sustainable decision-making and addressing environmental challenges.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
Restriction: ENGSCI 746
6389

ENGSCI 344

: Computational Design for Physical Systems
2023 Semester Two (1235)
Computational engineering solutions to problems involving complex physical systems, using numerical tools commonly used in engineering practice. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
Restriction: ENGSCI 746
6390

ENGSCI 344

: Computational Design for Physical Systems
2022 Semester Two (1225)
Computational engineering solutions to problems involving complex physical systems, using numerical tools commonly used in engineering practice. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
Restriction: ENGSCI 746
6391

ENGSCI 344

: Modelling and Simulation in Computational Mechanics
2021 Semester Two (1215)
Solution of real-world continuum mechanics problems, using computational tools commonly used in engineering practice. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
Restriction: ENGSCI 746
6392

ENGSCI 344

: Modelling and Simulation in Computational Mechanics
2020 Semester Two (1205)
Solution of real-world continuum mechanics problems, using computational tools commonly used in engineering practice. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results.
Subject: Engineering Science
Prerequisite: BIOMENG 321 or ENGSCI 343
6393

ENGSCI 355

: Simulation Modelling for Process Design
2025 Semester One (1253)
Use of simulation models to design complex processes including consideration of cultural, environmental, societal and ethical factors as appropriate. Focus on practical problem solving, translational methods and the development of real-world modelling skills.
Subject: Engineering Science
Prerequisite: ENGSCI 255 or STATS 255
Restriction: OPSRES 385
6394

ENGSCI 355

: Simulation Modelling for Process Design
2023 Semester Two (1235)
Use of simulation models to design complex processes, with an emphasis on practical problem solving and laboratory-based learning.
Subject: Engineering Science
Prerequisite: ENGSCI 255 or STATS 255
Restriction: OPSRES 385
6395

ENGSCI 355

: Simulation Modelling for Process Design
2022 Semester Two (1225)
Use of simulation models to design complex processes, with an emphasis on practical problem solving and laboratory-based learning.
Subject: Engineering Science
Prerequisite: ENGSCI 255 or STATS 255
Restriction: OPSRES 385
6396

ENGSCI 355

: Applied Modelling in Simulation and Optimisation
2021 Semester Two (1215)
Use of optimisation modelling languages and simulation software, with an emphasis on practical problem solving and laboratory-based learning.
Subject: Engineering Science
Prerequisite: ENGSCI 255 or STATS 255
Restriction: OPSRES 385
6397

ENGSCI 355

: Applied Modelling in Simulation and Optimisation
2020 Semester Two (1205)
Use of optimisation modelling languages and simulation software, with an emphasis on practical problem solving and laboratory-based learning.
Subject: Engineering Science
Prerequisite: ENGSCI 255 or STATS 255
Restriction: OPSRES 385
6398

ENGSCI 363

: Engineering Science Design II
2021 Semester Two (1215)
Application of computational engineering methods combined with optimisation techniques to complex engineering design problems. Group-based integrated design, prototype and test projects that include consideration of societal, ethical and professional engineering factors.
Subject: Engineering Science
Prerequisite: BIOMENG 241 or ENGSCI 263
6399

ENGSCI 363

: Engineering Science Design II
2020 Semester Two (1205)
Application of computational engineering methods combined with optimisation techniques to complex engineering design problems. Group-based integrated design, prototype and test projects that include consideration of societal, ethical and professional engineering factors.
Subject: Engineering Science
Prerequisite: BIOMENG 241 or ENGSCI 263
6400

ENGSCI 391

: Optimisation in Operations Research
2025 Semester One (1253)
Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Introduction to integer programming.
Subject: Engineering Science
Prerequisite: 15 points from ENGGEN 150, ENGSCI 111, 211, MATHS 108, 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 765