Resources for Online Teaching and Learning: Engineering & Architecture: MOOC Courses

What you'll learn
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How to read, analyze, and understand different forms of architectural representation
Social and historical contexts behind major works of architecture
Basic principles to produce your own architectural drawings and models
Pertinent content for academic study or a professional career as an architect

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Development of contemporary Japanese architecture since the 1964 Tokyo Olympics
Features of works of influential Japanese architects
Unique technologies used for contemporary Japanese architecture
Present concerns and potential future directions for contemporary Japanese architecture

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History and context of the important buildings that shaped our culture
History of technological advances that significantly impacted the development of architecture
Impacts of certain cultural and religious traditions on architecture
History of climate and geographical changes that shaped human civilization and its architecture

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Discover the beauty, potential and richness of the subterranean territory.
Revert the negative perception associated with the infrastructure
Enlarge your vision as an urban actor
Become acquainted with indispensable design tools needed for designing underground.

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Creative Thinking: learn how to develop an architectural idea by using physical and digital models.
Design Knowledge: explore ‘the concept of scale’ to relate to context and to further develop details.
Learning by Doing: experiment to get a sense for spatial composition, materials and ergonomics.
Digital Technology: experience the potential of Virtual and Augmented Reality in architectural design

Cities are growing. What does this mean for housing construction, transport and livability? Researchers at Delft are investigating all kinds of subjects relating to urban problems, from modular houses, better sewer inspections, flying taxis, and how to reduce heat consumption.

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How to evaluate the sustainability performance of buildings from materials
Ways to assess energy use
How to account for use of urban infrastructure
How to create a neighborhood model adequate for analysis and urban policy assessment

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Understand the scientific principles underlying the thermal and luminous behavior of buildings
Learn to evaluate the advantages and disadvantages of a range of technologies for creating comfortable indoor environments

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Deepen your appreciation of the values and meanings of vernacular architecture in your local environments
Establish your personal perspectives on the more complex issues in vernacular architecture, such as self-conscious or un-self-conscious way of building, informal settlements, and cultural sustainability
Generate your own ideas of how to protect and preserve your local vernacular built environment

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Apply a stepped approach to find energy reducing measures
Analyse the energy use of a building
Analyse the local climate and select appropriate measures
Develop an integrated net-zero-energy concept for the building

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Why there is a need for different imaging modalities
The basic principles of each modality and the terminology used
The patient experience and why things happen during the imaging procedure
How to select the most suitable modality for a given clinical case
How to provide basic advice on imaging modalities to your peers
Additionally, in the 'advanced' sections in the course you'll learn:

How an image is reconstructed / visualized OR
The principles of image post-processing

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The breadth of the field of biomedical engineering
Advances going on in each of the areas of focus
How to select an area and degree program
How other biomedical engineers got where they are
How to chart your own career

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Identify heat transfer, mass transfer and fluid flow phenomena in lab, industrial and daily environment.
Identify quantities and subjects used in transport phenomena.
Use balances to solve problems.
Apply the concepts of transport phenomena to a variety of real life problems.
Make the correct assumptions to put real-life situations into mathematical model.
Solve and assess a model from a quantitative perspective.
See the world through different eyes.

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After this course all learners will be able to:
1. appreciate the need for sustainable innovation and how biotechnology and biobased production can contribute to this
2. describe the global context of biobased production
3. map the biobased economy, from research to application and from raw materials to products
4. solve basic level calculations in bioprocess engineering.

Verified learners will have the added benefit of being able to:
5. integrate scientific and technological knowledge on the use of bioprocesses for industrial products at the cell and process level
6. develop and assess the conditions for efficient and sustainable design of bioprocesses
7. solve undergraduate engineering level calculations in bioprocess engineering

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basic principles established in a way that allows readers from different disciplinary backgrounds to understand the key concepts
key practical issues such as:
prediction of pore pressure
estimation of hydrocarbon column heights and fault seal potential
determination of optimally stable well trajectories
casing set points and mud weights
changes in reservoir performance during depletion
production-induced faulting and subsidence

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laboratory studies on core samples that investigate the composition, microstructure and pore systems at the nanometer scale
discussion of basin-scale stress fields, fracture and fault systems
process of stimulating production using horizontal drilling and multistage hydraulic fracturing
engineering aspects of horizontal drilling and multi-stage hydraulic fracturing
basics of microseismic monitoring
environmental impacts of unconventional oil and gas development, especially induced seismicity

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Understanding of the hydration of cement
The science and utility behind Supplementary Cementitious Materials in concrete technology
Best practices (via tutorials) for testing samples through X-Rays diffractometry, Scanning Electronic Microscopy and Isothermal calorimetry

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Identify the name and function of the main railway network components
Evaluate the influence that railways exert on their environment and vice versa
Explain the different methods of train control and their effect on timetabling and safety
Understand the effects and the internal and external factors of disturbances on railway operations
Identify the different methods of dealing with system degradation and the effects of interaction between the components
Explore the state-of-the-art and future developments of railway systems

To gain insight into theory and modeling of traffic flow operations, to learn to apply theory and mathematical models to solve practical problems and to gain experience with using simulation programs for ex-ante assessment studies.

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Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
Building intelligent agents (search, games, logic, constraint satisfaction problems)
Machine Learning algorithms
Applications of AI (Natural Language Processing, Robotics/Vision)
Solving real AI problems through programming with Python

What you'll learn
Be able to describe the basic concepts and algorithms required for mobile robot locomotion, environment perception, probabilistic map based localization and mapping, and motion planning
Be able to apply these concepts for the design and implementation of autonomous mobile robots acting in complex environment

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The algorithms behind fundamental data structures (dynamic arrays, linked structures, (un)balanced trees/tries, graph algorithms, hash tables/functions)
How to reason about appropriate data structures to solve problems, including their strengths and weaknesses
How to analyze algorithms theoretically (worst-case, average-case, and amortized)
The key distinctions and relations between "Abstract Data Types" and "Data Structures"
Basic information theory and data compression utilizing the data structures covered

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Efficient means of storing and retrieving data in a Java program
How to identify the data structure that best represents the problem at hand
Use of the inbuilt Java data structures
Assess and improve the quality of software design with respect to object-oriented principles
Convert a set of requirements into a high-quality software design
How to write efficient code that is easy to read, understand, and modify

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Types of Fundamental Signals
Vector Description of Signals
Introduction to Discrete Time Systems
Convolution

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The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
The Discrete-Time Fourier Transform (DTFT)
The Z-Transform
Introduction to Analysis and Design of Discrete-Time Filters

After following this course the students should have an overview over the different types of electrical machines and the way they are used in drive systems and they should be able to derive equations describing the steady-state performance of these machines

The role of electric vehicles in the energy transition strategy.
Fundamental understanding of the technology behind electric cars and charging technology and infrastructure.
Fundamental understanding of future potential and profitable business models for electric cars.
TCO models, lean mass productions, value chain thinking and business integration.
Fundamental understanding of policy objectives and instruments to support electric mobility and the role of government in transition management and effective public policy interventions.

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Identify basic theoretical principles, algorithms, and applications of Machine Learning
Elaborate on the connections between theory and practice in Machine Learning
Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations

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Classification, regression, and conditional probability estimation
Generative and discriminative models
Linear models and extensions to nonlinearity using kernel methods
Ensemble methods: boosting, bagging, random forests
Representation learning: clustering, dimensionality reduction, autoencoders, deep nets

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Recognize and describe the elements of a microcontroller as well as the operating principles of motors, sensors, and circuits commonly used in mechatronic devices
Create basic programs for microcontrollers using interrupt-driven programming
Design and implement microcontroller programs that read from sensors and achieve appropriate actuator commands
Implement a mechatronic device using actuators, sensors, and a microcontroller command processor

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How to abstract a problem in an object oriented style
Object oriented programming, basics to advanced level, using C++
How to use the Standard Template Library (STL)

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The fundamentals of image filtering and tracking, and how to apply those principles to face detection, mosaicking and stabilization
How to use geometric transformations to determine 3D poses from 2D images for augmented reality tasks and visual odometry for robot localization
How to recognize objects and the basics of visual learning and neural networks for the purpose of classification

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How to describe the motion of carriers in a semiconductor material
Ways to illustrate the operational principles of some common electronic devices including PN Junction Diode,Schottky Diode, Photo Diodes,Solar Cells,LED andBipolar Junction Transistor
How to identify the most important parameters to adjust for meeting certain design specifications
How to construct the circuit models of some common electronic devices
Communication in the language of semiconductor

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How to visualize the charge and capacitance characteristics of MOS capacitors
Ways to describe the operation principle of charge couple devices and CMOS active-pixel sensor to construct a digital camera
How to calculate the current voltage characteristics of MOSFETs
How the reduction of transistor dimensions and device scaling drive the technology development
What are the most important parameters to control short channel effects
How to construct short channel MOSFETs
Communication in the language of nano-CMOS technology

What you'll learn
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Math basics for studying circuits
Techniques for analyzing circuits with any scale and containing any element
Real world applications of circuits
Concepts related to EECS courses, e.g. signals and systems, electronics, etc.
Perspectives needed for qualified engineers, e.g. engineering, equivalence, and abstraction

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This course will cover design and analysis of continuous time systems and discrete time systems, with the focus on fundamental concepts, analysis and designs of deterministic signals being transmitted and processed through linear time-invariant systems. You will study ways to perform comprehensive analysis and design for various signals and systems ranging from time domain to transform domain, from continuous signals to discrete signals. While majority of the context in the first four chapters will discuss how to analyze and design continuous time system, including analysis of its time domain, frequency domain and S domain, the first chapter gives an introduction of the course, the second talks about time domain analysis of continuous time system, the third focuses on Fourier transform, and the fourth introduces S-domain analysis of continuous time system. The rest of the four chapters will discuss how to analyze and design discrete time system, including analysis of its time domain, frequency domain and Z domain, with each chapter contributes to time domain analysis of discrete time system, Z domain analysis of discrete time system, discrete Fourier transform and filter design respectively.

What you'll learn
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How to unite abstractions for several kinds of systems, to draw a common system description
How to identify properties that this system has or does not have
How to deal with an important class of systems namely, linear shift invariant systems
How to represent and analyze signals and systems in the Fourier domain

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How to analyze the effect of sampling
How to reconstruct signals from samples under certain conditions
How to bring continuous and discrete independent variable systems together
How to generalize the Fourier Transform for continuous and discrete
independent variable systems, using the Laplace and z- transforms

The physics of and how to model all aspects of a working solar cell: performance, efficiency limits and design rules.
Design concepts and fabrication processes of various photovoltaic (PV) technologies and applications.
How to evaluate components of a PV system: PV modules, inverters, DC-DC converters, batteries, charge controllers and cables.
Application techniques for designing a PV system ranging from a residential rooftop system to a utility scale solar farm.
Design concepts of microgrids that include PV systems.
How to assess the economics and ecology of PV systems and communicate these accordingly.

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Improved understanding of the key drivers behind decarbonising the economy in general and the power sector in particular; including an understanding of the advantages and disadvantages of action
Empowerment to make decisions and develop policies that deliver a low-carbon power system that is relevant to their local context.
Enabling presentation of the arguments in favour of their approach confidently, and relevant to their local circumstances.
Preparation for a more detailed course on the policies needed to support a low-carbon power sector.

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TheUnited Nations Sustainable Development Goals
The implications of systems thinking for developing countries
The complexities around the food/energy/water nexus
The importance of stakeholder management for energy technology deployment
Skills for analysing stakeholder influence and importance
Development intervention approaches
The impact of population on energy systems

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Explain how electricity systems have traditionally operated with baseload and load-following conventional generators
Introduce and explain the basic operational characteristics of the main types of electricity generation technologies, including fossil fuel, nuclear and renewables
Describe how electricity system operations change when there are increasing penetrations of variable renewables
Discuss the technologies, measures and operating practices at our disposal to cost-effectively incorporate and manage high penetrations of variable renewables
Consider how the operation of electricity systems may change in the future, with changes in electricity demand patterns and the emergence of new technologies
Understand how different countries are managing the integration of variable renewables into their electricity systems.

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Apply a stepped approach to find energy reducing measures
Analyse the energy use of a building
Analyse the local climate and select appropriate measures
Develop an integrated net-zero-energy concept for the building

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Recognize the process units in urban water services, focusing on basic drinking water technologies
Describe the function of these process units
Describe the physical and chemical processes involved
Make simple design calculations on drinking water treatment plants

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Basic principles and characteristics of biochemical technology in water and wastewater treatment
Composition of structures and operation characteristics
Technological advancements in water and wastewater treatment technology

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The nature of human creativity and innovation,
How creativity and design thinking help business to solve complex problems,
The process and tools of design thinking,
Different creativity and design processes and how it can be used to generate better ideas,
How to use a variety of tools to help validate your ideas to improve their chances for impact,
The use of design sprints to integrate the different elements of the course into a systematic method for generating and testing new ideas,
How to build organizations that support creative and innovative thinking.

What you'll learn
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You will learn how to:

Use a business experimentation cycle to deliver desired business outcomes
Use operational processes, modular design and agile methods to d develop iterative, Small-loop experiments that create continuous improvement
Use operational processes, modular design and agile methods to drive Small-loop experiments
Identify the need for, and manage the risks inherent in, Big-loop experiments, used to drive disruptive change
Manage the knowledge interfaces among the variety of experts involved in g Big-loop experiments
Manage your technical and organizational infrastructures to drive a capability for experimentation at scale

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Understand the various stages of industrial revolutions
Understand the Future of Work and the skills needed
The drivers, enablers and compelling forces for Industry 4.0’s advancement
Smart factories and howthey compare to existing ones
Understand whatInternet of Thing (IoT) and Industrial Internet of Things (IIoT)
Predictive Analysis, Big Data leading to data-driven decisions and automation
Cyber Physical Systems and other major systems in Industry 4.0
Understand the role and importance of data and cloud computing
How to use the Cloud to support human-machine collaborative efforts
The use of collaborative robots
Examples of smart automations, products and services
The challenges in cybersecurity and how to reduce them
How organizations and knowledge workers can better prepare for Industry 4.0

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How design techniques can help businesses to develop market relevant ideas,
How to use financial decision-making techniques to improve innovation outcomes,
Adapt and apply strategic and operational management frameworks and tools necessary for innovation leadership,
Overview of planning and problem solving methods,
Relationship between and use of business models and business plans.

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How to manage different types of innovation projects and how to gain your own understanding of the factors making it successful
The role of creativity for innovation and how individual and organizational creativity can be raised
The success factors on the level of an innovation project
The importance of soft skills and leadership capabilities for managing innovation successfully

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To understand how current mega-trends challenge extant approaches from the domains of Marketing, Innovation, and Entrepreneurship.
To adjust innovation processes to the technological and environmental imperatives of the twenty-first century.
To translate the previously gained knowledge into market-ready products for electric mobility and beyond.

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Core knowledge and applied skills in project management
Essential communication skills to help you manage a project
An understanding of why today’s projects are more complex

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Product line planning and road mapping alternatives
Idea generation, customer need assessment, co-creation, definition and validation of minimal viable product (MVP) and allied set up of requirement documents
Alternative approaches for lean, agile and waterfall development, along with the tools for assessing task, project and business risks (and risk mitigation strategies) at scrums or at stage gates.
How to launch a product and create a go-to-market strategy to champion your product.
Performance Management: how to take ownership of product related profit (or loss) over various life cycle stages; how to track and optimize system performance metrics while organizing social media and third party data towards performance optimization

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How the risk management process works as part of a compliance framework
Use of frameworks to identify, assess and analyse risks in a business context
Application of appropriate risk responses
Design and integration strategies for reporting and communicating risks to various stakeholders
Use of a monitor and review process, and application of risk management as an iterative process

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To understand key concepts and selected theories in strategic management
To identify the building blocks of strategy and arrange them in a cohesive process
How to analyze the (shifting) structure of your industry
Renew or extend internal resources and capabilities, especially in times of far-reaching technological changes

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At the end of this course, you’ll be able to:

recognize key questions in the design and management of a supply chain;
identify the possible options and solutions to key questions, along with their strengths and weaknesses;
translate the company strategy into a clear decision making framework;
make strategic decisions based upon this framework.

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How to select the correct fabrication process for a specific micro-device or microsystem
Establish the workflow for the cleanroom processes
Identify how physical and chemical phenomena govern miniaturized systems for various applications
Resource planning for a given microsystem fabrication

Provide a link between standard introductory courses in metals and composites and actual applications with focus on composite structures. It is a summary of the main methods used to design and analyze composite and metal structures in practice. Show how some of the approximate methods used in design can be derived and what the limitations of such methods are.

Explain the interrelation between force, displacement, internal stress and internal strain using the Generalized Hooke’s Law for Basic Load Carrying Members. In this course, Basic Loading Carrying Members refer collectively to axial load carrying members (bars, rods, cables, etc.), torsional shafts (circular and thin walled), and beams subjected to moment and transverse shear.

What you'll learn
Be able to describe the basic concepts and algorithms required for mobile robot locomotion, environment perception, probabilistic map based localization and mapping, and motion planning
Be able to apply these concepts for the design and implementation of autonomous mobile robots acting in complex environment

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Describe how a smartphone processor works
Explain computer system design from binary information to programming
Design a small working computer
Describe common techniques used to make computers fast

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Basic and advanced MATLAB skills
Define a sensible modelling depth
Derive equations of motion for different models
Solve the equations of motion using different approaches
Presentation of results using animations

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Supervised learning techniques for regression and classification
Unsupervised learning techniques for data modeling and analysis
Probabilistic versus non-probabilistic viewpoints
Optimization and inference algorithms for model learning

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Represent 2D and 3D spatial relationships, homogeneous coordinates
Manipulate robot arms: kinematic chains, forward and inverse kinematics, differential kinematics
Program and navigate mobile robots: robot and map representations, motion planning
Plan complete robot systems
Develop present and future applications for robots

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Robot configuration space and degrees of freedom
Static grasp analysis
Rigid body motions
Forward kinematics based on the Denavit-Hartenberg parameters

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The basics of robot control
Key concepts in robotics, including: screw motions, velocity and static analysis, kinematic singularities, inverse kinematics, and closed chain kinematics
The product of exponentials formula for forward kinematics

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How to relate the zeroth, first and second laws to basic thermodynamic properties, like energy, temperature, and entropy, and to interactions like work and heat
How to interpret entropy change and entropy production and the related terms isentropic and reversible
How to derive property relations in an easy manner, and get used to the steam tables
Solve problems by applying the first and second law of thermodynamics

Learn about the variety of subtopics in topological materials, their relation to each other and to the general principles.
Learn to follow active research on topology, and critically understand it on your own.
Acquire skills required to engage in research on your own, and to minimize confusion that often arises even among experienced researchers.

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After completing this course, you will be able to:

List and define fundamental terms and concepts in environmental studies
Describe the ways that human use of resources impacts the environment
Analyse and compare environmental issues in different parts of the world
Apply environmental studies principles to evaluate your community, and identify and recommend solutions to local challenges
Share stories and findings about your local (natural and built) environment

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Identify the cultural context and time of diffusion of housing types
Examine the plans of different housing examples and recognise types of distribution and spatial organisation
Estimate how a specific type of housing has influenced urban character
Contextualise different types of housing historically and socially

Cities are growing. What does this mean for housing construction, transport and livability? Researchers at Delft are investigating all kinds of subjects relating to urban problems, from modular houses, better sewer inspections, flying taxis, and how to reduce heat consumption.

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The roles of different spatial design professions, including urban planners, urban designers, landscape architects, architects and interior architect.

The challenges and opportunities that spatial design professions address in practice.