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Showing 25 course outlines from 6720 matches

2301

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
2302

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
2303

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
2304

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
2305

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
2306

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
2307

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
2308

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
2309

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
2310

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
2311

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
2312

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
2313

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
2314

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
2315

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
2316

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
2317

ENGSCI 391

: Optimisation in Operations Research
2024 Semester One (1243)
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, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 765
2318

ENGSCI 391

: Optimisation in Operations Research
2023 Semester One (1233)
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, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 765
2319

ENGSCI 391

: Optimisation in Operations Research
2021 Semester One (1213)
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, MATHS 208, 250, 253, and 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, STATS 220
Restriction: ENGSCI 765
2320

ENGSCI 700A

: Research Project
2025 Semester One (1253)
An investigation carried out under the supervision of a member of staff on a topic assigned by the Head of Department of Engineering Science. A written report on the work must be submitted.
Subject: Engineering Science
Prerequisite: 60 points from non-elective courses listed in Part III of the BE(Hons) Schedule for either Engineering Science or Biomedical Engineering To complete this course students must enrol in ENGSCI 700 A and B
2321

ENGSCI 700A

: Research Project
2024 Semester One (1243)
An investigation carried out under the supervision of a member of staff on a topic assigned by the Head of Department of Engineering Science. A written report on the work must be submitted.
Subject: Engineering Science
To complete this course students must enrol in ENGSCI 700 A and B
2322

ENGSCI 700A

: Research Project
2023 Semester One (1233)
An investigation carried out under the supervision of a member of staff on a topic assigned by the Head of Department of Engineering Science. A written report on the work must be submitted.
Subject: Engineering Science
To complete this course students must enrol in ENGSCI 700 A and B
2323

ENGSCI 711

: Advanced Mathematical Modelling
2025 Semester One (1253)
A selection of modules on mathematical modelling methods in engineering, including theory of partial differential equations, integral transforms, methods of characteristics, similarity solutions, asymptotic expressions, theory of waves, special functions, non-linear ordinary differential equations, calculus of variations, tensor analysis, complex variables, wavelet theory and other modules offered from year to year.
Subject: Engineering Science
Prerequisite: 15 points from ENGSCI 311, 313, 314
2324

ENGSCI 711

: Advanced Mathematical Modelling
2024 Semester One (1243)
A selection of modules on mathematical modelling methods in engineering, including theory of partial differential equations, integral transforms, methods of characteristics, similarity solutions, asymptotic expressions, theory of waves, special functions, non-linear ordinary differential equations, calculus of variations, tensor analysis, complex variables, wavelet theory and other modules offered from year to year.
Subject: Engineering Science
Prerequisite: 15 points from ENGSCI 311, 313, 314
2325

ENGSCI 712

: Computational Algorithms for Signal Processing
2025 Semester One (1253)
Advanced topics in mathematical modelling and computational techniques, including topics on singular value decomposition, Principle Component Analysis and Independent Component Analysis, eigen-problems, and signal processing (topics on neural network models such as the multi-layer perception and self organising map).
Subject: Engineering Science
Prerequisite: 15 points from ENGSCI 311, 313, 314