Found 1204 relevant results in 0.08s where credits>='10'
Working with real-world case studies, the Climate Innovation programme empowers climate leaders with the necessary skills and knowledge to support and lead the transition towards net zero emissions in their own context.
In the CAS Robotics participants are offered a RobotX professor as a mentor together with whom they design their study plan along an individually-specified focus area in the area of Robotics and AI. Based on the individual expertise and interests of the participants, the customised Robotics and AI module consists of a combination of (i) research project, ii) lectures, (iii) knowledge transfer.
Calculus I
Analysis I
Introduction to the differential and integral calculus in one real variable: real numbers, sequences, basic point set topology, continuity,differentiable functions, ordinary differential equations, integration.
Calculus I
Analysis I
Introduction to the differential and integral calculus in one real variable: real numbers, sequences, basic point set topology, continuity,differentiable functions, ordinary differential equations, integration.
Calculus I
Analysis I
Introduction to the differential and integral calculus in one real variable: real numbers, sequences, basic point set topology, continuity,differentiable functions, ordinary differential equations, integration.
Calculus I
Analysis I
Introduction to the differential and integral calculus in one real variable: real numbers, sequences, basic point set topology, continuity,differentiable functions, ordinary differential equations, integration.
Calculus II
Analysis II
Introduction to differential and integral calculus in several real variables, vector calculus: differential, partial derivative, implicit functions, inverse function theorem, minima with constraints; Riemann integral, vector fields, differential forms, path integrals, surface integrals, divergence theorem, Stokes' theorem.
Calculus II
Analysis II
Introduction to differential and integral calculus in several real variables, vector calculus: differential, partial derivative, implicit functions, inverse function theorem, minima with constraints; Riemann integral, vector fields, differential forms, path integrals, surface integrals, divergence theorem, Stokes' theorem.
Calculus II
Analysis II
Introduction to differential and integral calculus in several real variables, vector calculus: differential, partial derivative, implicit functions, inverse function theorem, minima with constraints; Riemann integral, vector fields, differential forms, path integrals, surface integrals, divergence theorem, Stokes' theorem.
Calculus II
Analysis II
Introduction to differential and integral calculus in several real variables, vector calculus: differential, partial derivative, implicit functions, inverse function theorem, minima with constraints; Riemann integral, vector fields, differential forms, path integrals, surface integrals, divergence theorem, Stokes' theorem.
Calculus II
Analysis II
Introduction to differential and integral calculus in several real variables, vector calculus: differential, partial derivative, implicit functions, inverse function theorem, minima with constraints; Riemann integral, vector fields, differential forms, path integrals, surface integrals, divergence theorem, Stokes' theorem.
Cities within Cities - Negotiating Cultural Density
Architectural Design V-IX: Cities within Cities - Negotiating Cultural Density
How can we re-imagine ordinary neighbourhoods through strategically engaging and intensifying their creative potential, embracing their identity, traditions, rituals, the arts and cultural events? Students are introduced to case studies from the urban lecture series, design methods and tools for densification of city blocks and streetscapes, imagining growth processes for Cities within Cities.
This course provides an introduction to commutative algebra. It serves in particular as a foundation for modern algebraic geometry.
This course covers analog circuits with emphasis on neuromorphic engineering: MOS transistors in CMOS technology, static circuits, dynamic circuits, systems (silicon neuron, silicon retina, motion circuits) and an introduction to multi-chip systems. The lectures are accompanied by weekly laboratory sessions.
1. Integration of ODE, Hamiltonians and Symplectic integration techniques, time adaptivity, time reversibility.2. Large-N gravity calculation, collisionless N-body systems and their simulation.3. Fast Fourier Transform and spectral methods in general.4. Eulerian Hydrodynamics: Upwinding, Riemann solvers, Limiters5 Lagrangian Hydrodynamics: The SPH method...
The course introduces into theoretical and algorithmic aspects of numerical methods for the approximation solution of electromagnetic field problems (Maxwell's equations). It covers finite element methods, boundary element methods and fast solvers and discusses the respective merits and scope of the methods.
We discuss modern statistical methods for data analysis, including methods for data exploration, prediction and inference. We pay attention to algorithmic aspects, theoretical properties and practical considerations. The class is hands-on and methods are applied using the statistical programming language R.
The Core Studio reflects on how to move toward a “post-extractive” transcalar design approach, framed by ecological, social, political, and economic dimensions, deployed in real territories. It explores diverse spatial conditions to reflect on how built and unbuilt environments are produced and managed, and to seek ways to design interventions to inhabit the world in a truly sustainable way.