DAVID VON WRANGEL
MY MIT COURSEWORK
6.2080
Introduction to Electronic Circuits
Intro to semiconductor devices and analog circuit design of basic amplifiers and opamp's with CAD/EDA tools.
6.7230
Semidefinite Optimization
Developed algebraic and numerical approaches for semidefinite programming, hyperbolic polynomials, Groebner bases, qantifier elimination and sum of squares.
6.8200
Sensorimotor Learning
Reinforcement learning, self-supervised learning, imitation learning, model-based learning, and advanced deep learning architectures.
6.7220
Nonlinear Optimization
Covered (un)constrained optimization methods indlucing projection, interior point methods, ADMM, SQP, nondifferentiable optimization, lagrangian relaxation, etc.
7.016
Introductory Biology
Fundamental principles of biochemistry, molecular biology and genetics for understanding living systems.
6.UAR
Seminar in Undergrad Research
Instruction in undergraduate research, including choosing and developing a research topic, surveying previous work and publications, technical presentation, authorship and collaboration.
6.S977
The Sum of Squares Method
Covered SoS with topics on graphs, constraint satisfaction problems, unique games conjecture, applications to high-dimensional algorithmic statistics and to quantum information.
6.7210
Intro to Mathematical Programming
Linear optimization including simplex method, duality theory, sensitivity analysis, network flow problems, decomposition, robust optimization, integer programming and interior point algorithms.
2.74
Bio-inspired Robotics
Bio-inspired design to robotics and assistive technologies, focusing on biomechanics, numerical techniques, and robotics skills.
21M.600
Introduction to Acting
Explores the actor's tools: body, voice, mind, imagination, and the essential self.
18.C06
Linear Algebra and Optimization
Introduction to linear algebra and optimization covering least squares, convex optimization, linear/quadratic programming, gradient descent and regularization with insights into algebra.
16.82
Flight Vehicle Engineering
Designed a net-zero solar powered seaplane in the ultra light category.
16.07
Dynamics
Introductory topics in orbital mechanics, flight dynamics, inertial navigation and attitude dynamics.
16.405
Robotics: Science and Systems
Design and implement advanced algorithms on complex robotic platforms capable of agile autonomous navigation and real-time interaction with the physical world.
6.832
Underactuated Robotics
Nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on computational methods.
16.522
Space Propulsion
Emphasis on high-specific impulse electric engines. Building a Hall thruster as a term project.
2.12
Introduction to Robotics
Robot kinematics and dynamics, differential motion and energy method, design and control of robotic arms and mobile robots, and actuators, drives, and transmission.
16.09
Statistics and Probability
Introduction to aerospace relevant statistics with a final project in building a Kalman filter to estimate a projectile trajectory with a Radar.
3.094
Materials in Human Experience
Examines the ways in which people in ancient and contemporary societies have selected, evaluated, and used materials of nature, transforming them to objects of material culture.
6.843
Robotic Manipulation
Creating robot systems that can autonomously manipulate physical objects in open-world environments
16.512
Rocket Propulsion
Chemical rocket propulsion systems for launch, orbital, and interplanetary flight.
6.S058
Planning Under Uncertainty
Constraint satisfaction, Monte Carlo tree search, planning, MDPs and POMDPs
2.51
Intermediate Heat and Mass Transfer
Steady and unsteady heat transfer, laminar and turbulent convection radiation, and mass transfer at low rates.
16.003
Unified Engineering: Fluid Dynamics
Fundamental principles and methods of fluid dynamics for aerospace engineering. We design and build and airplane for our final project.
21M.605
Voice and Speech for the Actor
Teaches progression of contemporary approaches to voice through in-class vocal exercises
6.08
Introduction to EECS via Interconnected Embedded Systems
Embedded systems in the context of connected devices. Made a startup from the Final Project.
16.20
Structural Mechanics
Anisotropic materials, heating effects. Engineering Beam Theory with composites and varying crossections. Membrane and Shell theory. Structural dynamics and Torsion Theory.
16.004
Unified Engineering: Thermodynamics and Propulsion
Fundamental principles and methods of thermodynamics for aerospace engineering. We designed and optimized a Jet engine for our final project.
2.S007
Design and Manufacturing I (NEET)
Creative design process bolstered by application of physical laws.
6.S192
Deep Learning for Art, Aesthetics, and Creativity
Applied Deeplearning for art. Example: We used GAN steerability to move in the latent space to modify images.
6.S090
Deep Learning for Control
Intelligence via machine learning, deep reinforcement architectures, and frameworks for learning in robotics.
6.034
Artificial Intelligence
Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view.
16.632
NEET: Introduction to Autonomous Machines
Introduction to the fundamental aspects of robust autonomous machines.
3.091
Introduction to Solid-State Chemistry
Basic principles of chemistry and their application to engineering systems.
16.001
Unified Engineering: Materials and Structures
Presents fundamental principles and methods of materials and structures.
16.002
Unified Engineering: Signals and Systems
Presents fundamental principles and methods of signals and systems.
16.410
Principles of Autonomy and Decision Making
Surveys decision making methods used to create highly autonomous systems and decision aids.
18.03
Differential Equations
Study of differential equations, including modeling physical systems.
SP.248
Discover the Magic of Project-Based Engineering
Introduces students to hands-on, project-based learning in interdisciplinary engineering education via five <em>Threads. E.g Autonomous Machines
6.036
Introduction to Machine Learning
Introduces principles, algorithms, and applications of machine learning.
6.004
Computation Structures
Provides an introduction to the design of digital systems and computer architecture.
6.002
Circuits and Electronics
Fundamentals of linear systems and abstraction modeling through lumped electronic circuits.
6.171
Pokerbots Competition
Build autonomous poker players and aquire the knowledge of the game of poker.
6.S191
Introduction to Deep Learning
Introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more!
2.670
Mechanical Engineering Tools
Introduces the fundamentals of machine tools use and fabrication techniques.
6.042
Mathematics for Computer Science
Elementary discrete mathematics for science and engineering, with a focus on mathematical tools and proof techniques useful in computer science.