How Much Education Does A Computer Engineer Need?


How Much Education Does A Computer Engineer Need
Bachelor’s degree Entry-level computer hardware engineers typically need a bachelor’s degree in computer engineering or a related field, such as computer and information technology. Employers may prefer to hire candidates who have graduated from an engineering program accredited by a professional association, such as ABET.
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Is computer engineering 4 years?

Program Description – Computer Engineering is a four-year degree program that deals with the study of computer systems. The curriculum covers both software and hardware and develops the student’s ability to analyze computer systems, designs, construction of electronic equipment and its peripherals.

  • Since computer science is directed to the theory and technology of computation, the curriculum does not specialize along traditional lines that divide hardware and software, systems and applications, or theory and experiment.
  • Rather, a unified approach to the design and analysis of computers and of computing structures is employed.

This background prepares the student for placements as computer engineers in government industry. It also qualifies them for related job with computer manufacturers and consulting firms as systems programmers as well as application programmers with scientific, research, and business organizations.

The ethical considerations with respect to the profession is an important component of the program of study. The BSCpE curriculum has four (4) tracks of specialization namely: (a) Computer Network Engineering; (b) Machine Learning; (c) Big Data; and (d) System Development. It is designed to prepare graduates in accordance with the institutional and program outcomes.

The curriculum has a total of 188 credit units comprising of 129 units of technical courses. These technical courses include 12 units of mathematics, 8 units of natural/physical sciences, 4 units of basic engineering sciences, 11 units of allied courses, 78 units of professional courses (common), 12 units of professional courses (specialized), and 4 units on the job training (OJT), The non-technical courses in accordance with CMO 20 s.2013 – The New General Education Curriculum consist of 59 units of general education courses distributed as follows: 33 units of core courses, 9 units of GEC electives, and 3 units of Life and Works of Rizal.
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Is it hard to become a computer engineer?

Frequently Asked Questions – Computer engineering integrates computer science with electrical engineering knowledge and skills to work with software and hardware alike, while computer science emphasizes programming, computing theory, and architecture design.

  1. Computer engineers need technical skills such as programming, coding, and network architecture.
  2. Computer engineers also use analytical, problem-solving, and communication skills in their work.
  3. Computer engineering is challenging, but individuals with an interest in computer technologies and engineering fundamentals thrive in the field.

Computer engineering requires mathematical, technical, and critical thinking skills. Algorithms, computational theory, and operating systems are among the most challenging courses, but the hardest class in computer engineering depends on the student and university. How Much Education Does A Computer Engineer Need
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What subjects do you need for computer engineering?

Common Coursework Computer Engineering Majors Can Expect – Computer engineering majors’ coursework starts with foundational math and science courses, such as general chemistry, calculus and physics, Students can take core major classes in programming, data structures and algorithms, computer systems engineering, computer architecture and design of operating systems.
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Does computer engineering require a lot of math?

Computer science is an exciting field for anyone looking to turn their love of computers into a career. It involves a deep understanding of computers and their applications, as well as the design of devices that calculate. Because nearly every industry utilizes computer systems, earning an online IT degree can prepare you for a range of computer science careers in some of the top companies in the world.

In a program such as WGU’s, you’ll learn how integrating math, problem solving, engineering, and critical thinking to a plethora of functions, including robotics, algorithm formulation, software and hardware development, and artificial intelligence will help you succeed. If you’re interested in pursuing this career path, math is one of the primary skills in the catalog that you’ll need to succeed.

This article will give you a better understanding of what kinds of math computer scientists should know and will provide tips for how to master your math courses. Computer science is a broad field, so if you’re looking to get your computer science degree, the kind of math you’ll need to know will depend on your specific program and career path.

  • But generally speaking, most degree programs require a basic understanding of calculus, algebra, discrete mathematics, and statistics.
  • These courses are important in helping you understand programming languages, data structures, and more.
  • Computer scientists have to be fluent in the language of computers, and that language is math.

Success in this field requires critical thought, abstract reasoning, and logic—all of which are mathematical ways of thinking. Understanding the facts and figures of math are also essential for any kind of computer science job. For example, to build a self-driving car, a computer programmer must be able to use mathematical equations to program turns, acceleration, emergency braking, etc. There’s no way around it: math can be hard. The good news is you don’t have to be a math whiz to master your courses—you just have to be willing to put in the work and ask for help when you need it. Here are some tips to help you get through your courses: If you’re in a computer science degree program like WGU’s, you can use a multitude of resources and study helps to help you in your major requirements such as:

E-textbooks Library services Web-based tutorials Simulations Online classes Learning communities

These resources are approved and available to students directly or through WGU’s affiliations with third-party education providers. First things first: Don’t be afraid to ask for the support you need. If you’re struggling in a math course, reach out to your mentor or instructor as soon as possible.

  • At WGU, every incoming student is assigned a Program Mentor, a faculty member who has experience in the field you’re studying and who can give one-on-one guidance throughout your studies.
  • If you need help in your math courses, they can help you make the best of your learning resources.
  • Study groups can be a great support system to help you through your math courses.

Plus, research shows students who study in groups can retain more information as opposed to what they hear in class or read on their own. WGU offers cohort communication options through learning communities. These cohorts help break down the learning, and each day of the cohort, your mentor will check in with you and provide additional learning aids,
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How old are computer engineers?

Computer Engineer Age

Computer Engineer Years Percentages
40+ years 56%
30-40 years 30%
20-30 years 15%

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Does computer engineering worth it?

Computer Engineering jobs and salaries – According to the US Bureau of Labor Statistics, the job outlook for future computer engineers looks stable. Based on their data, Computer Engineering jobs are expected to grow 2% by 2029. Still, don’t make the mistake of thinking it will be easy.

The competition for good positions is high, and knowledge from classes isn’t enough. To stand out among other applicants, you should invest in your career early: look for internships, get involved in research projects, and learn on your own. These are some of the most popular Computer Engineering jobs.

We’ve also included the annual salaries in the US based on data from Glassdoor,

Computer Engineer – 92,000 USDComputer Architecture Developer – 85,750 USDSystems Engineer – 77,750 USDNetwork Engineer – 72,350 USDFirmware Engineer – 98,250 USDMobile Device Engineer – 91,700 USDQuality Control (QC) Engineer – 44,400 USD

So, what does all this information mean? That future computer engineers don’t need to worry about job opportunities despite the highly competitive market. You’ll have a well-paid job, and your salary will increase with experience. Computer Engineering jobs are also safe from the automation process, which looks likely to take out many work opportunities in the future.
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Do engineers need a good PC?

How much processing power will I need? – You’re going to need a good amount of processing power for engineering tasks, so we’d recommend an Intel Core i5 or higher. However, an Intel Core i7 is considered ideal. This type of processor is good for multitasking, gaming, and demanding workloads.2.
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Is a computer engineer a good job?

For those passionate about computers and digital technology, a career as a computer engineer can be an excellent option. Computer engineers plan, design and create physical devices and electronic networks that support computer functions for specialized tasks.
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How many hours do computer engineers work?

What are the typical work conditions for computer engineering professionals? – Most computer engineering professionals work standard 40-hour weeks in offices or research laboratories. They may be required to work overtime to complete a project.
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Why do people study computer engineering?

Why Choose a Career in Computer Engineering? Choosing a career in engineering means having to choose between the many different sectors and practices. The plus side is there is so many, your skills will always be needed. Engineering can be both an exciting and challenging career to choose, but the benefits that come with it are worth pursuing.

Have you always been interested in a career in computer engineering or are you wondering where your skills may take you? If you are looking into this sector then there is so much to be excited about and if you are looking to re-train in a new profession, this could be the one for you and let me tell you why.

What is computer engineering? Computer engineering is a sector that combines electrical engineering with computer science. Computer engineers can do many things, including designing, developing systems and even working with robotics and AI. It covers multiple sectors including electrical and even healthcare.

Software engineering Electrical engineering Computer engineering Systems engineering

And so many more! Much like other engineering sectors, there can be something for everyone and there is still a skills shortage so many employers are constantly looking for engineers like you to fill the gaps in their workforce. Why computer engineering? There is constant innovation – Technology is forever changing, there are new ideas, updates to existing technology and standards are being constantly updated.

There is always something to do and always someone that needs to be doing it. Because things are constantly changing, there is always opportunity to learn and update your skills as well. Long story short, you would never be bored or fed up with doing the same thing. It requires skill and the want to learn.

Skills are needed – One advantage of a computer-based engineering career, is that engineers are always in demand. Companies need engineers like you to do the work, find the problems and create solutions. Engineers that are trained in this sector are extremely valuable and it’s likely to stay this way for a long time.

  1. The skills you will learn are adaptable – The skills you will learn throughout your computer engineering career are fully adaptable.
  2. There will always be room for you to progress and improve yourself as a professional and if you choose to change career, your skills are highly sought after and transferable.

Opportunity to work anywhere – The great thing about computer technology is that it allows us to work and connect to people from pretty much anywhere. This career can be very mobile, so whether you want to work in an office, at home or in a shared space, this option may be open to you.

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What roles could you do? As mentioned above, there are a lot of different jobs and opportunities a career in computer engineering could bring you.

Hardware Systems – Engineers responsible for the development of a number of products. This could be anything from game consoles, phones to automotive systems. Robotics – A career in robotics can lead you to doing a whole different range of things day-to-day. From designing and developing robotic prototypes to ensuring that they run safely. A job in this sector can be interesting and bring a lot of new innovation. They are always looking for people with new and great ideas. Definitely a job for someone creative. Network security – This career means you are likely to protect systems from cyber threats. You work with other engineers to secure their network security and prevent threats from happening again. There can be a lot of trial and error, so good for someone with problem-solving skills. Software engineering – Software engineers develop, design and test applications that they use or have built. This can include working on products like online games, computer applications and even network control systems. There is a lot to choose from!

This of course, is only a handful of the things you can choose if you want a career in computer engineering. There is a world of opportunities out there, you just have to take your pick. How to become a computer engineer? Most employers will be looking for someone with a degree level of education.

  1. Some employers look for candidates with a degree in computer engineering, but this is very broad.
  2. However, with the relevant skills, there is always a chance of re-training so there is no need to worry if computer engineering is a new interest to you.
  3. Re-training, upskilling and transferable skills are all viable options when changing career.

It’s not all about the degrees though. There are apprenticeship schemes and if you just don’t think university is for you, you don’t need to rule anything out. Have a look and see what is on offer. : Why Choose a Career in Computer Engineering?
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What do computer engineers study?

The Computer Engineering degree encompasses a wide range of topics, including operating systems, computer architecture, computer networks, robotics, artificial intelligence, and computer-aided design. It is a program designed to meet the rapidly expanding demand for engineers with strong design skills.

The three areas of focus include real-time computing systems, communication and computing networks, and VLSI design/fabrication. The skills that students acquire through the program are : digital logic design, computer architecture, software engineering, compiler design, operating systems, and algorithms.

In this major, students also develop a strong base in both computer science and electrical engineering; they learn about the hardware and software aspects of computer science and gain a solid understanding of circuit theory and electronic circuits.
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Can you be a computer engineer if you’re bad at math?

Can I Start My Journey as a Software Engineer though I am Bad at Math? Answer: Yes, a BIG yes. You can start your career as coder or software developer though you have zero math knowledge.
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Does computer engineering require coding?

Most computer engineers are usually quite versatile with a wide range of skill sets, ranging from physics, networking, and other skills. However, does computer engineering require coding? The answer is yes! Degrees related to engineering always require you to take additional programming skills and software design courses.
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Does computer engineering require physics?

Computer engineering vs. computer science – When considering a career in computer engineering or computer science, you should be sure which field is right for you. The two have some similarities, but they aren’t the same. Both areas require critical thinking and problem-solving skills, and you’ll need technical writing skills for computer science and engineering.

  1. Computer scientists work with programming languages, such as Python and Java, and software to achieve complex tasks.
  2. Computer scientists will use theoretical ideas to develop real-world solutions.
  3. Conversely, a computer engineer works primarily with hardware to build new and better computer systems.
  4. You’ll spend most of your time working with hardware as a computer engineer.

Some roles will require limited programming skills, like software design. A computer engineering major will take coursework in physics, calculus, and electrical circuits, while a computer science major will study software engineering, algorithms, and data analysis.
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Was Elon Musk a computer engineer?

Elon Musks Career In Code and Business – Although Elon Musk never had a 9-5 desk job as a programmer he did play a major role in coding his original start-up, Zip2. A company co-founded by Elon and his brother in 1995. The software was used to provide a searchable business directory with maps of local businesses.

  • Similar to an online yellow pages.
  • Later, the software began to assist newspapers in designing online city guides.
  • Partnering with a total of 160 newspapers before eventually being sold to Compaq Computer in 1999,
  • Elon wrote the backend for this software in the C programming language,
  • According to the biography by Ashlee Vance, the software was eventually almost completely rewritten by its new hires.

The computer science students that took over the project were able to re-write large chunks of code written by Musk in just a few lines of code. The codebase was also not very flexible originally. Meaning that if changes needed to be made in the future, it would be very difficult.

  1. After his success with Zip2, Elon took the money he made from the company and re-invested it in his new startup,
  2. Another company where he played a large role in creating the original was an online bank co-founded by Elon Musk.
  3. In it’s later years, it was merged with their competitor, Confinity Inc.

and became PayPal. In it’s merger a large part of it’s codebase had been re-written by more talented engineers. From there, Elon went on to create Tesla and SpaceX. Although he did not play a large role in the development if these products. Marking his transition from part-time coder and into his focus on entrepreneurial endevours.
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Who is the youngest computer engineer?

A nine-year-old earning accolades for his maths and computer programming said he wants connect “young passionate minds”. Kautilya Katariya, from Northampton, got the highest grade in GCSE Maths at his school earlier this year. At the age of six, he became a Guinness World Record holder for being the youngest qualified computer programmer.

I don’t really have anyone to talk about maths with,” he told BBC Radio Northampton, The pupil at Wootton Park School in Northampton said he became interested in programming when his father, Ishwari, gave him a book on the subject. “I liked it so much that I made my own simple program,” he said. Since then he has gone to develop his own search engine, a tic-tac-toe program, and has been accredited as an artificial intelligence expert for IBM.

Kautilya is now studying A-Level maths and said of the subject: “I love it so much. “For two reasons – one, when you solve a problem you get very proud of your achievement, and two, you can apply maths to physics and you can apply physics to almost anything, the universe is literally coded with physics.” The youngster said he was “already planning on creating a portal so I can connect to lots of different young passionate minds I can talk about maths and computing”.
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Is software engineering 5 years?

It can take anywhere from three months to four years to become a Software Engineer, depending on your technical experience, professional background, and career path. Although roughly three-quarters of Software Engineers do possess at least a bachelor’s degree (and many go on to earn a master’s degree), it is not essential to have a computer science degree or an even rarer software engineering degree to become a Software Engineer.

A computer science education or a college degree in an area related to the software engineering field would certainly be helpful in proving that a job candidate has the right fundamental training in computer science and math to understand core software engineering concepts. Degrees that could prove useful for a Software Engineer career would include such disciplines as information technology, computer and information systems, or computer science.

Still, the truth is a bachelor’s degree in many different programs would suffice for aspiring Software Developers who have developed the right skills and understanding of web development and software engineering principles, excel at a variety of programming languages, and have real world experience managing projects and coding web applications, computer software, and other web products.

Some Web Developers go for the self taught route and thrive, but most might look into a coding or programming course, These programs give students up and running the new skills necessary to land entry level software engineering jobs in as little as a dozen weeks. And although learning coding is just one of many steps to becoming a Software Developer or Software Engineer, it tends to be one of the most important areas for anyone looking for full-time software development or software engineering careers.

Fortunately, many aspiring Software Engineers likely already have some skills in this area to build on – now that the programming language Python is taught to students widely at the high school level, most people have some degree of experience with programming even if they haven’t had the chance to complete any major projects.
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How many years is a computer year?

If Your Computer Was Human, How Old Would it Be? – TAZ Networks How Much Education Does A Computer Engineer Need Human age: 482 Earlier today we posted a fun little link to our and : Here are some quick results:

1 year old computer = approximately 19 human years 3 year old computer = approximately 56 human years 5 year old computer = approximately 93 human years!

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How long is computer system engineering?

Computer Systems Engineering You are viewing this course for 2023-24 entry. entry is also available. How Much Education Does A Computer Engineer Need Dr Roderich Gross explains how the knowledge and skills you gain at ACSE have real world applications This three-year BEng course will develop your engineering skills in computer software and hardware. The key difference between this and a computer science degree is the focus on engineering systems: electromechanical design, robotics and computer programming for embedded systems.

Modules are informed by our world-leading research and designed with input from our industry partners, so you’ll have the best start for your career. You’ll use industry-standard equipment and learn about state-of-the-art applications in infrastructure, medicine and aviation. Our courses share a common first year.

You’ll study subjects that are fundamental to computer systems such as mathematics, computing, control, electronics, software and embedded systems. In the first year, you’ll learn how to control robotic systems and you will work as part of a team to design, analyse and test robots, autonomous vehicles and other complex electro-mechanical systems.

In your second year, core modules cover subjects such as programming (including C++, Python and Java), mathematics and data modelling, signals, systems and communications. You’ll apply your skills to a practical project, where you’ll design a system using 3D CAD tools. You’ll then build the system in our iForge makerspace.

This innovative facility gives you access to 3D printers, laser cutters and more. In your final year, specialist modules cover topics ranging from intelligent systems and digital signal processing to system design and security. You can tailor your degree to suit your interests with optional modules.

The highlight of your final year is an individual project. You’ll work closely with one of our world leading academics to deepen your technical knowledge and develop your expertise in a range of engineering techniques and skills such as project management and communication that maximise your employability.

Other options for you:

  • Subject to achieving a satisfactory performance you can transfer from the BEng to the MEng degree at the end of the second year.
  • You could switch to the version of this degree with a year in industry.
  • You can choose to study a year abroad.

The content of this course is under review and there might be some changes before you start. We’ll publish an up-to-date course description soon. This course is accredited by the Institution of Engineering and Technology (IET), the Institute of Measurement and Control and the Engineering Council UK.

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A selection of modules are available each year – some examples are below. There may be changes before you start your course. From May of the year of entry, formal programme regulations will be available in our, Choose a year to see modules for a level of study: First year Introduction to Electric and Electronic Circuits This module introduces the concepts and analytical tools for predicting the behaviour of combinations of passive circuit elements, resistance, capacitance and inductance driven by ideal voltage and/or current sources which may be ac or dc sources.

The ideas involved are important not only from the point of view of modelling real electronic circuits but also because many complicated processes in biology, medicine and mechanical engineering are themselves modelled by electric circuits. The passive ideas are extended to active electronic components; diodes, transistors and operational amplifiers and the circuits in which these devices are used.

Transformers, magnetics and dc motors are also covered.20 credits Introduction to Systems Engineering & Software Engineering applications are typically complex, so students also need to acquire proficiency in analytical problem solving and the ability to apply a systems engineering approach, as a systematic methodology to design and implementation.

A group project will develop an understanding of the type of problem solving and systems engineering needed for the design and build of a computer-controlled system. Students will improve skills in communication, team working and reflective practices as a result of the group project.

Engineering applications in manufacturing, aerospace, robotics, energy, finance, healthcare and a host of other areas are predominately computer based or computer controlled. In order to be able to create computer based and computer controlled applications, students need to acquire proficiency in relevant software and programming languages.

In this module, labs and several individual assignments will build proficiency in creating C programs as solutions to engineering problems.20 credits Modelling, Analysis and Control This module will introduce principles of modelling of simple continuous dynamical systems.

  1. This module also introduces analysis of linear models.
  2. It includes a detailed analysis of the dynamical behaviour of 1st and 2nd order systems linking behaviour to physical parameters, e.g.
  3. Rise time, settling time, overshoot, steady-state.
  4. Damping and damping ratio and resonance.
  5. Frequency response is also discussed.

We will introduce control and feedback as a topic by providing examples of open-loop and closedloop control, and undertake detailed analysis of linear models with a focus on 1st and 2nd order systems. Students are introduced to simple practical feedback mechanisms, including PID controllers and performance criteria such as offset, stability, poles and zeros.

You will learn about the principles of how to use Laplace Transforms to solve linear differential equations, and for system representation, using transfer functions and block diagram algebra. You will also develop an appreciation of frequency-domain implications of system analysis through the use of Fourier series.

MATLAB is used to reinforce the simulation and analysis of all module contents and coursework assignments.20 credits Physical Systems This module will introduce students to the modelling and analysis of dynamic systems. Students will learn about the different types of physical systems based on real-world case-studies.

  1. This 20-credit year-long module is to be delivered over two semesters.
  2. In the autumn semester mechanical and electrical-mechanical systems will be introduced.
  3. In the second semester the mechanical theme will continue with rotational systems, and then introduce thermodynamic systems as well as flow systems.

Students will gain an appreciation of the physics laws governing a variety of physical systems, the impact and interaction of various system components, as well as systematic methods for modelling and analysing such systems.20 credits Systems Engineering Mathematics I This module contains the core mathematical competencies required by students for a systems engineering programme.

  1. This covers basic algebra and functions, elementary calculus (differentiation and integration), solution of low order differential equations, Taylor series and iterative methods, matrix algebra and simultaneous equations, vectors and complex numbers.
  2. The content is delivered within a systems engineering context.

Student learning is encouraged by regular formative assessment and supportive resources.20 credits Digital and Embedded Systems This module is intended to equip students with the core knowledge of ‘how hardware works’ in digital systems and introduce the concept of embedded systems using examples/case studies.

  • The module covers introduction to embedded systems, number systems, boolean algebra, logic gates, logic expressions, combinational logic, A/D and D/A converters, computer systems and architectures.
  • The content is delivered as a combination of lectures, tutorials and laboratory sessions that provide students with a fundamental understanding of embedded systems and their applications.10 credits Group Control Project and Professional Skills This module is intended to bring together core content from various Y1 modules in a substantial group design project.

The group project involves controlling a mobile robot to navigate to a destination safely and smoothly. This robot is provided as a take-home kit for students to work on this project in their own time. This module also covers important skills needed in the workplace, such as project management and teamwork, as well as other crucial employability skills.10 credits Global Engineering Challenge Week The Faculty-wide Global Engineering Challenge Week is a compulsory part of the first-year programme.

  1. The project has been designed to develop student academic, transferable and employability skills as well as widen their horizons as global citizens.
  2. Working in multi-disciplinary groups of 5-6, for a full week, all students in the Faculty choose from a number of projects arranged under a range of themes including Water, Waste Management, Energy and Digital with scenarios set in an overseas location facing economic challenge.

Some projects are based on the Engineers Without Borders Engineering for people design challenge*. *The EWB challenge provides students with the opportunity to learn about design, teamwork and communication through real, inspiring, sustainable and cross-cultural development projects identified by EWB with its community-based partner organisations.

  • Second year Computer Problem Solving and Object Oriented Design The first part of this module introduces basic concepts of computer programming, through an introduction to problem solving and the development of simple algorithms using the programming language Python.
  • The module will stress the importance of good programming style and good code design and will introduce how an object-oriented approach can help to achieve these aims.

The second part of this module introduces some of the fundamental principles of object oriented programming and software engineering using the Java Programming Language. In particular it covers the principles that underlie the structuring of software and introduces models of real-world systems.

Techniques for developing sound programming techniques are introduced and applied.20 credits Control Systems Design and Analysis This module gives a solid theoretical foundation for understanding feedback control system analysis, design and application and is suitable for general engineering students.

This is supported by hardware laboratories, PC laboratory activities and coursework. Content covers standard analysis tools such as root-loci, Bode diagrams, Nyquist diagrams and z-transforms. The latter part of the course focuses on the design of common feedback strategies using these analysis tools and students will undertake indicative designs and reinforce learning through application to laboratory and hardware systems.20 credits Mechatronics This unit covers methods to represent, analyse and design mechanical, electrical and computational systems and their integration into mechatronics systems.

  • This module will enable students to design, analyse, develop and integrate mechatronic systems.
  • The unit includes lectures on the principles of mechatronic systems, 2D/3D CAD design, sensors and instrumentation, actuation, digital data acquisition, signal pre-processing, hardware interfaces, microcontroller programming and peripherals; practicals on analysing mechatronic components; and project work on designing, developing and testing a mechatronic system.20 credits Signals, Systems, and Communications Modern communication systems provide the backbone of the technological development that is driving the information age.

The increase of data analytics, machine learning, and networked solutions pushes the trend towards an increasing use of digital communication systems as means of enabling reliable and efficient information exchange. The aim of the unit is to provide the fundamentals of signals, systems and communication systems.

  • The mathematical principles of signal theory and systems theory will be applied within a communication theory context.
  • The unit will provide the students with the tools to analyse and solve complex open-ended communication problems and to evaluate the technological constraints of the proposed solutions.20 credits Systems Engineering Mathematics II This module provides an introduction to the use of analytical mathematical techniques and numerical methods and algorithms for subsequent higher level module studies and for solving a wide range of engineering problems as well.

Students will develop their skills in the theory and application of core mathematics tools required for systems engineering and the application of these in system simulation and data based modelling. A brief summary of topics covered includes: complex variables and Fourier transforms, analysis of matrices and systems represented by matrices, optimisation of functions of many variables, probability, numerical integration techniques and data modelling and analysis.

The module is embedded throughout with engineering examples using the mathematical techniques.20 credits Systems Engineering and Object Oriented Programming Engineering applications in manufacturing, aerospace, robotics, energy, finance, healthcare and a host of other areas are predominantly computer based or computer controlled.

In order to be able to create computer based and computer controlled applications, students need to acquire understanding of and proficiency in working across the systems engineering lifecycle. This module builds on the first year undergraduate learning objectives relevant to systems Engineering, to develop further students’ skills in the design and development of computer based and software dominated systems.

  1. There will be an emphasis on the systems engineering lifecycle (requirements capture, architecture definition, sub-system design and testing, integration, implementation and validation) and project management.
  2. Students will use UML/SysML to model systems.
  3. C++ will be introduced for algorithmic problem solving.

Quality, risk and reliability associated with engineering systems will be explored.20 credits Engineering – You’re Hired The Faculty-wide Engineering – You’re Hired Week is a compulsory part of the second year programme, and the week has been designed to develop student academic, transferable and employability skills.

  • Working in multi-disciplinary groups of about six, students will work in interdisciplinary teams on a real world problem over an intensive week-long project.
  • The projects are based on problems provided by industrial partners, and students will come up with ideas to solve them and proposals for a project to develop these ideas further.

Third year Individual Project This module provides the opportunity for students to undertake a major piece of project work on an individual basis. The project will enhance knowledge and skills in the following areas: critical evaluation of technical literature, project planning and management, deepening knowledge in one or more technical areas and developing the ability to convey technical information both orally and in written form.30 credits Systems Design and Security This module provides a grounding in software systems design, highlighting security issues.

Topics include: choice of software lifecycle, customer-developer interaction, requirements capture, information management, database design, functional design, design patterns, software architectures, user interfaces, data validation, software verification and testing. Security topics include: threats, countermeasures, policies and technologies.

The lectures are complemented by an integrating team-project. This 20-credit unit prepares students to participate in the Software Hut (COM3420) in the Spring.20 credits Digital Signal Processing The aim is to introduce students to digital processing techniques, including sampling and analysis of digital signals, design of digital filers, and the introduction of digital image processing.

  • Discrete signals and systems are studied, with an emphasis on the frequency-domain theory necessary for the analysis of discrete signals and design of digital filters.
  • The concepts associated with digital images and some basic digital image processing operations are also covered.10 credits Finance and Law for Engineers ​​The module is designed to introduce engineering students to​ ​key areas of financial and legal risk​ ​that engineers should be aware of in​ ​their working environment.

The module will draw directly on practical issues of budgeting, raising finance, assessing financial risks and making financial decisions in the context of engineering projects and/or product development. At the same time the module will develop students​’​ understanding of the legal aspects of entering into contracts for the development and delivery of engineering projects and products and an awareness of environmental regulation, liability for negligence,​ ​intellectual property rights and the importance of data protection.

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Through a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on engineering practice. There will be a heavy emphasis on group working, report writing and presentation as part of the assessment supplemented by online exercises and an individual portfolio.10 credits Intelligent Systems This module will introduce students to the theme of intelligent systems with special applications to modelling, control, and pattern recognition.

Although this technological area can be perceived as being broad, the focus will mainly be on Fuzzy Systems and on interesting synergies such as those between Fuzzy Systems and Artificial Neural Networks (ANN), including the Neuro-Fuzzy architecture.

This module should appeal to all students from engineering as well as from science backgrounds who wish to learn more about Artificial Intelligence and Machine-Learning related paradigms, and mostly, how may the related architectures be applied effectively to solve real-world problems, i.e. non-linear, noisy, and the ones that are characterised by uncertainties.

This unit is also timely indeed, since knowledge transfer from human to machine and from machine to human and knowledge extraction from data (Big Data) are seen particularly, as vital components for a successful economy, healthy well-being, and clean environment.

Finally, the module strikes the too-often difficult balance between theoretical foundations and examples of applications via weekly interactive lectures, laboratory experiments, video demonstrations, and problem solving.10 credits State-Space Control Design The aims of this modules are: to introduce state-space methods for the analysis and design of controllers for multivariable systems; to teach the use of analytical tools and methods for state-space control design; to demonstrate similarities between continuous and sampled data systems; and to extend the analysis to non-linear systems.

Material to be covered includes: Structural properties (modal decomposition, controllability, observability, stability); design (pole assignment, observer design, separation principle, internal model principle, optimal control, LQG, reference tracking, integral control) of continuous systems and equivalents for sampled-data systems.10 credits Biomechatronics There are a wide range of important healthcare challenges in the 21st Century, such as the aging population, stroke, paralysis and the loss of limbs, which can be treated using biomechatronic devices such as exoskeletons, active prosthetic limbs and brain computer interfaces.

‘Biomechatronics’ describes the integration of the human body with engineered devices composed of electronic, mechanical and control components (mechatronics) for the purposes of (i) emulating and replacing natural human function lost through disease or accident and/or (ii) augmenting natural human function to generate superhuman abilities.

The biomechatronics module will cover the subject of biomechatronics in theory and practical application, and span the main core topics of: neural control, biomedical signals, sensors and actuators.10 credits Computer Security and Forensics This module provides an introduction into computer security and forensics focussing on approaches and techniques for building secure systems and for the secure operation of systems.

It aims to develop knowledge and understanding of fundamental principles of information security, develop familiarity with compromise of computer systems and what countermeasures can be adopted and provide practical experience of implementing secure systems. The module requires a solid understanding of mathematical concepts (e.g., modulo-arithmetic, complex numbers, group theory) and logic (set theory, predicate logic, natural deduction) a solid understanding of a programming language (e.g., Java, Ruby, or C), basic software engineering knowledge and an understanding of database and Web systems.

Students should be aware that there are limited places available on this course.10 credits Hardware-in-the-Loop & Rapid Control Prototyping This course represents an opportunity for students to gain hands-on experience of designing and implementing advanced controllers upon a challenging, real-world control problem.

Uniquely, each student will be issued with their own, portable control hardware for the duration of the course. Students will learn how to interface such a system to industry standard software using a data acquisition device, before developing their own simulation models of the hardware. These models will be used to synthesise a feedback controller, and verified in simulation before being implemented upon the hardware.

The resultant controller will then be refined in a cycle of rapid control prototyping.10 credits Machine Learning Machine learning is a component of artificial intelligence that enables a computer to learn how to perform a task from data or simulations rather than being explicitly programmed for every possible scenario.

  1. Machine learning is currently being applied in a number of fields including finance, robotics and autonomous systems and bioinformatics and has experienced a huge growth in industry in recent years.
  2. This module introduces the key foundational elements of machine learning, including: regression, classification and reinforcement learning.

The module is taught by a combination of lectures and labs, where there is an emphasis on practical implementation of different methods.10 credits Robotics The module aims to explore robotic systems, both historically and as an area of rapid contemporary development.

  1. Students will be introduced to the different types and applications of robotic systems.
  2. An emphasis is placed on modelling and simulation.
  3. Sensing and actuation is also covered, with a focus on control of robot manipulators.
  4. Students will be exposed to a wide range of practical applications of robotic systems, and encouraged to discuss and reflect on the implications of using robots (e.g.

ethical considerations, safety, social and economic impacts).10 credits Space Systems Engineering The module aims to introduce different mission types including communications, earth observation, weather, navigation, astronomy, scientific, interplanetary missions and space stations.

  1. Concepts of orbital motion such as Kepler Laws, Elliptic, Parabolic and Hyperbolic orbits are introduced.
  2. Atmospheric drag, luni-solar perturbations are explained.
  3. Hohmann orbit transfer, ground station visibility, launch windows are explained.
  4. The module provides an understanding of spacecraft sub-systems and control including attitude control and thermal control, as well as providing knowledge of propulsion systems for example chemical rockets, electric propulsion, nuclear rockets, and solar sails.

Various concepts related to space environment are explored including, sun, solar wind, solar cycles, heliosphere, ionosphere, magnetosphere, magnetic storms, substorms and geomagnetic indices. The module explains space weather phenomena and concepts including the effects of ionising radiation, cosmic rays, and solar energetic particle events on spacecraft systems and astronauts.

Geomagnetic storms and sub-storms are also discussed. The module considers ground induced current and its effect on the pipelines, power grid and transformers. The effects of space weather on communications and forecasting of space weather are discussed.10 credits System Identification Modelling dynamical systems from first principles via Newton’s, Kirchoff’s or other known physical laws is often challenging and costly, requiring substantial expertise.

An alternative is offered through ‘system identification’ that takes observations of inputs and outputs from physical systems and infers or estimates a dynamical model directly. This module introduces two main ways of thinking about the identification problem, the theoretical framework that underpins them and the algorithms that compute the model estimates.

It uses synthetic and real problems to illustrate the process and shows how models can be validated for future use.10 credits Design of Medical Devices and Implants The purpose of this module is for students to gain knowledge and experience in designing medical and assistive devices and implants, which underlines the role played by a Biomedical Engineer/Bioengineer.

Topics include a survey of world health and clinical problems, the need for solutions in the developed, developing and underdeveloped countries; the principles of medical device and implant design; design parameters and specifications; design for an assistive product, engineering analysis; preclinical testing for safety and efficacy, risk/benefit ratio assessment, evaluation of clinical performance and design of clinical trials.

Case studies and topical discussions are used to aid further understanding of specific topics.10 credits Computer Security and Forensics This module provides an introduction into computer security and forensics focussing on approaches and techniques for building secure systems and for the secure operation of systems.

It aims to develop knowledge and understanding of fundamental principles of information security, develop familiarity with compromise of computer systems and what countermeasures can be adopted and provide practical experience of implementing secure systems.

The module requires a solid understanding of mathematical concepts (e.g., modulo-arithmetic, complex numbers, group theory) and logic (set theory, predicate logic, natural deduction) a solid understanding of a programming language (e.g., Java, Ruby, or C), basic software engineering knowledge and an understanding of database and Web systems.

Students should be aware that there are limited places available on this course.10 credits The Internet of Things Low cost networked computers add eyes and ears (or sensors) and arms, legs and voices (or actuators) to the Internet. These devices are then connected to on-line ‘brains’ (using big data, machine learning and analytics in the cloud).

This field is called the Internet of Things (IoT). Will the result be a ‘world robot’?! No matter, in a world of many more devices than people, engineers who know how the new tech works and how to secure it will be in high demand. The COM3505 module covers the context and history of the IoT, the hardware, communications protocols and security systems it relies on, and the cloud-side analytics that make sense of the data produced.

It gives practical hands-on experience of common IoT devices (sensors, actuators, microcontrollers), and look at a range of commercial platforms. Each student is given an ESP32 wifi microcontroller to keep and we program live IoT applications using that device.

Students will have the opportunity to use the Diamond electronics lab and the iForge project space to complete their own IoT device with a range of hardware and capabilities.10 credits Antennas, Radar and Navigation This module is about understanding the fundamentals and common applications of antennas and radar systems.

The basic characteristics of some of the commonly used antennas, and antenna systems, will be examined in the context of practical design and application. The radar part of the module will introduce the basic concepts of radar and examine various types of commercial and military radar system in common use.

  • The application of radar and other methods in airborne navigation and landing systems will be discussed.
  • Throughout the module emphasis will be placed on ‘first-order’ analysis techniques in order to reduce the use of advanced mathematics.10 credits The content of our courses is reviewed annually to make sure it’s up-to-date and relevant.

Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers.

  1. In the event of any change we’ll consult and inform students in good time and take reasonable steps to minimise disruption.
  2. You’ll learn through a combination of lectures, practical labs and tutorials and independent study.
  3. By the end of your first year you’ll have learnt the full range of core foundations for control and systems engineering, as well as broader engineering skills.

Our teaching is based on a systematic and structured approach to support your learning. Laboratory and professional skills are strongly integrated within the taught modules, and you’ll undertake your laboratory work in our award-winning Diamond building, using the latest equipment and technologies.

We invest to create the right environment for you. That means outstanding facilities, study spaces and support, including 24/7 online access to our online library service. Study spaces and computers are available to offer you choice and flexibility for your study. Our five library sites give you access to over 1.3 million books and periodicals.

You can access your library account and our rich digital collections from anywhere on or off campus. Other library services include study skills training to improve your grades, and tailored advice from experts in your subject. and Our academic and research staff are world leaders in the study of robotics, signal processing and intelligent systems.
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How long do computer engineers work?

What are the typical work conditions for computer engineering professionals? – Most computer engineering professionals work standard 40-hour weeks in offices or research laboratories. They may be required to work overtime to complete a project.
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