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Delft University of Technology
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Courseware
Computability Theory deals with one of the most fundamental questions in computer science: What is computing and what are the limits of what a computer can compute? Or, formulated differently: “What kind of problems can be algorithmically solved?” During the course this question will be studied. Firstly, the notion of algorithm or computing will be made precise by using the mathematical model of a Turing machine. Secondly, it will be shown that basic issues in computer science, like “Given a program P does it halt for any input x?” or “Given two program P and Q, are they equivalent?” cannot be solved by any Turing machine. This shows that there exist problems that are impossible to solve with a computer, the so-called “undecidable problems”. The book is in English, the recorded lectures and slides however, are in Dutch
- Subjects:
- Computing
- Keywords:
- Machine theory Computational complexity Computable functions
- Resource Type:
- Courseware
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Courseware
Exploration of space is never out of the news for long and the desire to construct lower-cost, reliable and more capable spacecraft has never been greater. At TU Delft years of technology development and research experience in space engineering allow us to offer this course, which examines spacecraft technologies for satellites and launch vehicles. This course provides: - knowledge of the technical principles of rockets and satellite bus subsystems; - the ability to select state-of-the-art, available components; - analysis of the physical and technical limitations of subsystem components; - identification of the key performance parameters of different spacecraft subsystems; - comparison of the values obtained by ideal theory and real-life ones; - opportunity to make preliminary designs for a spacecraft based on its key requirements. Other spacecraft types, such as interplanetary rovers, are not covered in this course. Spacecraft instrumentation and other payloads are also not covered.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Space vehicles
- Resource Type:
- Courseware
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Courseware
This part of the course Introduction to Aerospace Engineering is focused on two aerospace disciplines: “space and orbital mechanics” and “structures and materials”. These topics are discussed in detail and will provide an understanding for both aircraft and for spacecraft/space missions.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Orbital mechanics Space vehicles -- Materials Airplanes -- Materials Aerospace engineering
- Resource Type:
- Courseware
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Courseware
The following topics are covered: 1. Turning performance (three dimensional equations of motion, coordinate systems, Euler angles, transformation matrices) 2. Airfield performance (take-off and landing) 3. Unsteady climb and descent (including minimum time to climb problem) 4. Cruise flight and transport performance 5. Equations of motion with a wind gradient present 6. Equations of motion applied to various phases of space flight 7. Launch, Vertical flight, delta-V budget, burn out height, staging 8. Gravity perturbations to satellite orbits, J2 effect for low earth orbit satellites, J2,2 effect for Geostationary Earth Orbit sattelites leading to contribution in ï„V budget 9. Patched conics approach for interplanetary flight, gravity assist effect / options for change of excess velocity (2d, 3d), Launch, in orbit insertion.
- Subjects:
- Aeronautical and Aviation Engineering and Mechanical Engineering
- Keywords:
- Aerodynamics Astrodynamics
- Resource Type:
- Courseware
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Courseware
Are you an entrepreneur, or do you have a passion for building your own technology startup? This course will help and encourage you to start a successful technology-based venture. If you always wanted to become an entrepreneur, or if you are simply interested in putting a new technology to innovative use, this course is for you. This course helps you understand the process of entrepreneurship from a technology-oriented background. The course is made up of modules that are presented by experts in the field of entrepreneurship and technology. Modules include: - Team Building - Opportunity Recognition - Financing - Customer Acquisition
- Subjects:
- Management
- Keywords:
- Technological innovations -- Economic aspects Entrepreneurship High technology industries -- Management
- Resource Type:
- Courseware
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Courseware
The course is concerned with the concept of structural stability. This concept is applied to discrete and continuous basic structural elements (beams, frames, plates and shells). The fundamental concepts are introduced on the basis of the governing differential equations. The course includes the following topics: - Equations of motion, nonlinear equilibrium equations, stationary potential energy criterion. - Stability analysis for the basic structural elements. - Design methods for stability of basic structural elements.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Buckling (Mechanics) Structural stability
- Resource Type:
- Courseware
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Courseware
This course presents a design philosophy and a design approach, dedicated to rehabilitation technology. This field was selected because of human-machine interaction is inherent and vital. Illustrative examples will be discussed by their entire design proces.
- Subjects:
- Biomedical Engineering
- Keywords:
- Rehabilitation technology Biomedical engineering Medical instruments apparatus -- Design construction
- Resource Type:
- Courseware
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Courseware
Biomechatronics is a contraction of biomechanics and mechatronics. In this course the function and coordination of the human motion apparatus is the central focus, and the design of assistive devices for the support of the function of the motion apparatus.
- Subjects:
- Biomedical Engineering
- Keywords:
- Medical instruments apparatus Mechatronics Biomedical engineering Robotics
- Resource Type:
- Courseware
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Courseware
While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position. Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to: - assess their current situation regarding potential big data-induced changes of a disruptive nature, - identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and - strengthen their own position and that of their organization in our digitalized knowledge economy The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes. During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.
- Subjects:
- Management and Computing
- Keywords:
- Business -- Data processing Big data
- Resource Type:
- Courseware
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Courseware
This course treats various methods to design and analyze datastructures and algorithms for a wide range of problems. The most important new datastructure treated is the graph, and the general methods introduced are: greedy algorithms, divide and conquer, dynamic programming and network flow algorithms. These general methods are explained by a number of concrete examples, such as simple scheduling algorithms, Dijkstra, Ford-Fulkerson, minimum spanning tree, closest-pair-of-points, knapsack, and Bellman-Ford. Throughout this course there is significant attention to proving the correctness of the discussed algorithms. All material for this course is in English. The recorded lectures, however, are in Dutch.
- Subjects:
- Computing
- Keywords:
- Algorithms Data structures (Computer science)
- Resource Type:
- Courseware