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Advanced Robotics will explore in great depth areas
relevant to not only industrial robotics but service robots (i.e. robots
outside a factory environment particularly mobile robots) and the application
of this technology to real world environments e.g. driverless vehicles,
unmanned aerial vehicles and tele-robots. Students will also master robot
kinematics and dynamics.
By the end of the module the student should be able to...
- Solve complex kinematic and dynamic calculation problems applied to serial robots arms.
- Independently program and set up: an industrial robot; a vision guided robot system; a safety controller simulation system; and PLC (programmable logic controller).
- Undertake self-directed research and critically evaluate current and future non-industrial applications of robotic technology.
- Appraise and evaluate mobile robot technology: locomotion, sensors and probabilistic techniques.
- Design and critically evaluate: a safe system in a robot cell; a robot end-effector; fixturing and tools for robot cells.
Module Aims
This key automotive-specific module will introduce the concept of design for vehicle comfort.
The module aims to:
- Promote an understanding of, and an interest in the issues of design for comfort for the occupants of the vehicle.
- Critical evaluation of future comfort features, and the engineering principles which underpin these feature.
- Transferable knowledge of comfort assessment methodologies which can be applied to engineering business and practice.
- This module will draw upon the close links that WMG has with the automotive industry to deliver industry-relevant theory and applied engineering.
Module Learning Objectives
By the end of the module you should be able to.
- Evaluate and understand the engineering principles that underpin the design of a vehicle for the comfort of the occupants and other road users.
- Anticipate the future direction of the design of comfort systems within the vehicle engineering sector.
- Consider the role and use of comfort systems in vehicle engineering.
- Demonstrate a knowledge and understanding of the legislative, social and environmental factors relevant to comfort in vehicles.
- Appraise and design in-vehicle interfaces aimed to improving comfort and convenience.
ES4B5:Finite Element Methods
Please note this module will start in term 2 and the module information can be found from: https://courses.warwick.ac.uk/modules/2020/ES4B5-15
Module Leader: Dr Ken Mao
k.mao@warwick.ac.uk F327 SoE
Co-lecturer: Dr Wei Li
wei.li@warwick.ac.uk SoE
Principal Module Aim is to provide the theoretical background to basic and advanced modelling techniques and computational methods as used in engineering and to provide the necessary software application skills for using the techniques and methods in Matlab environment.
Timetabled Teaching Activities: 16 x 1hr lectures (Monday, Tuesday, weeks 11-22)
7 x 2hr Computational Laboratories (Wednesday, weeks 16-22)
2 x 1hr revision classes (weeks 24 and 31)
Advice and feedback hours are available for answering questions on the module (scheduled Monday 3pm-4pm and Tuesday 2pm-4pm, or appointment for another time slot by contacting via e-mail)The assessment will consists of written examination (50%), worksheet based on Laboratory Classes (15%), assignment (35%).
Students must pass individual coursework elements
Principal Learning Outcomes.
By the end of the module the student should be able to:
1. Built or select mathematical models over a wide range of application areas in engineering.
2. Intelligently select and use suitable computational methods and software systems for engineering tasks.
3. Evaluate the principles, purpose, and limitations of models and computational methods used in engineering software.
4. Implement, evaluate and use key computational methods in Matlab environment.
This moodle page contains all of the information for ES4C3 Mathematical and Computer Modelling for the 2020/2021 academic year. ES4C3 is a Term 2 module.
Principal Module Aim is to provide the theoretical background to basic and advanced modelling techniques and computational methods as used in engineering and to provide the necessary software application skills for using the techniques and methods in Matlab environment.
The module includes 7 x 2hr Computational Laboratories.
This 2020/21 academic year the assessment is different:
worksheet based on Laboratory Classes (40%), submission week 24, one week after the last lab
assignment (60%), submission week 31, after the Easter break
There is No Examination.
Students must pass individual coursework elements.
This module is designed to present the key elements driving the growth in optical communication systems. The approach necessary includes not only an appreciation of device principles but also the broader picture of optoelectronic systems integration, essential to the future provision of high bandwidth for multimedia applications. Within the module, the principles of optical fibre waveguiding and fibre transmission characteristics are presented. In addition, the operation of modern optical devices is described. Furthermore, the module also considers the detailed design, analysis and operation of optical fibre communication systems and networks. In particular, it presents detailed coverage of important optical fibre and free space networks for future communication applications, with both the facilitating technologies and the networks resulting from their integration being considered. The module aims to provide specialist knowledge of the strategies and techniques involved in the design and implementation of optical communication systems.