This course equips upper-level engineering, computer science, information science, and business students with the core processes and frameworks required to launch and scale technology ventures. Taking direct advantage of its location in Spain, the course places standard technology entrepreneurship methodologies—feasibility assessment, business model validation, competitive analysis, and financial planning—within the unique regulatory, cultural, and economic framework of the European Union and Madrid's rapidly growing tech ecosystem.

Students analyze transatlantic venture scaling, European venture capital dynamics, regional startup legislation (such as Spain’s Ley de Startups), and EU regulatory frameworks (GDPR, EU AI Act). Through field immersion, direct founder interviews, and site visits across Madrid's startup hubs (e.g., La Nave, Google for Startups, South Summit network, Telefonica’s Wayra VC fund), students evaluate how European ventures navigate market fragmentation across borders compared to single-market US ventures.

• Understand key concepts and theories in OB (Organizational Behavior)
• Learn how to apply those concepts and theories to understanding and critically analyzing various individual, interpersonal, group, and organizational management processes
• Enhance self-awareness of their own strengths and weaknesses in acting and managing effectively in organizations and plan to continually develop their strengths and improve their weaknesses.
• Learn and improve various skills that may help them behave and manage effectively inorganizations, including critical thinking, interpersonal skills, teamwork skills, leadership skills, and oral and written communication skills.

This a new course and we would be seeking someone to help support the course development in December & January prior to the launch of the course the week of January 18th. Additional compensation will be provided.

We are seeking someone who has experience in a leadership role in a start-up organization.

BMGT364, Managing People & Organizations, is an introduction to selected aspects of human behavior in organizations generally known as organizational behavior (OB). This course is designed to help students develop systematic and fundamental understanding of people and their behaviors in organizations, as well as useful abilities and skills required to efficiently, effectively, and ethically perform the four functions of management: planning, organizing, leading, and controlling.

• Increase your knowledge of OB concepts so that you can understand and analyze how organizations and the people within them work.
• Provide you with opportunities to apply OB concepts to real-world problems faced by managers.
• Develop your leadership and management potential. Effective leaders often manage people and information to accomplish organizational goals under conditions not entirely in their control. Leaders must successfully be able to diagnose problems, communicate clearly, make effective decisions, motivate and influence others, manage diversity, and drive organizational change.

The course introduces you to the role of the “strategic manager,” someone (like a CEO or entrepreneur) who is concerned with the problems of and/or responsible for the overall and long- term well-being of a firm. Implicitly or explicitly, every firm must define the scope of its business operations and, within the chosen scope, how the firm will compete against its rivals. Decisions about how to compete (e.g., cost leadership or differentiation) within the chosen market(s) reflect the firm’s business-level strategy. Decisions about the scope of business (i.e., in what markets or industries a firm wants to compete) constitute the firm’s corporate strategy. This course focuses on how a firm can formulate effective business level and corporate-level strategies to achieve a competitive advantage and earn above average profits.

• Appropriately assess how well the firm is doing over time and relative to its peers
• Describe a firm’s strategy; assess whether the strategy is appropriate; propose enhancements
• Evaluate data; test assumptions; synthesize multiple perspectives; counterfactual thinking; Transform research and analysis into strategy formulation
• Present strategic analysis, including organizing data and information.

• Foundations & Architecture

• Routing Protocols:

  • Distance Vector (DV) routing

  • Link State (LS) routing

  • Border Gateway Protocol (BGP), advanced BGP concepts, and security issues/attacks

• Internetworking & Network Layer:

  • Basic IP and IP Address Architecture

  • IP fragmentation and reassembly

  • Subnetting, CIDR, DHCP, and NAT

  • Essential infrastructure protocols: ARP and ICMP

  • Virtual networks, tunnels, and IPv6

• Transport Layer:

  • UDP and TCP foundations

  • TCP flow control and congestion control

  • TCP misbehavior/vulnerabilities (based on Savage et al. research paper) and advanced variants (BIC, CUBIC)

• Link Layer & Wireless:

  • Link layer protocols, Ethernet architecture, Hubs, and Switches

  • Wireless networks, WiFi, and wireless mobility

  • Peer-to-peer / Distributed Hash Tables

• Application Layer:

  • Core application protocols: Web, HTTP, and Email

• Students will understand the fundamentals of artificial intelligence like search, planning, perception, learning, their interconnections, and various application areas like robot learning.
• Students will explore the state-of-the-art connections among various subfields in artificial intelligence.
•  Students can design artificial intelligence architectures (for simulated robots)

• Supervised Learning
  • Decision trees and inductive bias
  • Geometry and nearest neighbors
  • Perceptron
  • Beyond binary classification
  • Linear models and gradient descent
  • Support Vector Machines
  • Naive Bayes models and probabilistic modeling
  • Neural networks
  • Kernels
  • Ensemble Learning
• Unsupervised Learning
  • Clustering
  • Principal Component Analysis (PCA)
• Advanced Topics (if time permits)
  • Transformers
  • Diffusion Networks
  • Fairness
  • Interpretability of Models

• Design a programming language.
• Implement a high-level programming language via interpretation in a high-levelprogramming language.
• Implement a high-level programming language via compilation into a low-levelprogramming language.
• Define and test a compiler’s correctness.
• Analyze language design choices.
• Evaluate language implementation choices.
• Evolve a large software artifact with complex invariants and specifications.

• Overview of compilation
• Interpreters
• Intermediate representations and bytecode
• Code generation
• Run-time systems
• Garbage collection
• Type systems, type soundness, type inference
• Register allocation and optimization
• Language design
  Advanced topics in compilation

Wind energy is an inherently interdisciplinary field requiring collaborative solutions across mechanical design, aerodynamics, materials science, structural/civil engineering, power electronics, and computing.

Inspired by modern renewable energy curricula, this course introduces students to the complete wind energy conversion pipeline—from atmospheric physics to grid integration and economics. Students will explore system-level interactions, learn key technical trade-offs across engineering disciplines, and work in multidisciplinary teams to solve real-world wind energy design problems. Special emphasis is placed on UN Sustainable Development Goal 7 (Affordable and Clean Energy) and sustainable lifecycle practices.

• System Overview: Trace the technological evolution of modern wind turbines and describe key component architectures for onshore, fixed offshore, floating offshore, and small-scale wind applications.
• Wind Resources & Statistics: Perform basic wind resource assessment using statistical distribution functions (Weibull, Rayleigh) and wind data processing.
• Aerodynamics & Mechanics: Apply fundamental aerodynamics principles (Blade Element Momentum concepts, lift/drag, tip-speed ratio) to estimate blade power extraction and turbine performance.
• Materials & Structures: Evaluate material selection (composites, circularity) and structural/geotechnical requirements for towers, blades, and offshore foundations under dynamic loading.
• (Electrical Systems & Control: Compare wind turbine power topologies (Types 1–4), generator types, power electronic converters, SCADA/IoT monitoring, and basic control actions (pitch, yaw, torque).
• Grid Integration & Economics: Describe grid integration challenges (power variability, Low-Voltage Ride-Through), micro-siting, and project financial metrics (Levelized Cost of Energy).
• Multidisciplinary Teamwork: Function effectively within multidisciplinary engineering teams to execute design projects and communicate technical solutions to diverse audiences.
• Sustainability: Evaluate energy systems within the framework of UN SDG 7 and environmental/social impacts.

• Model linear and nonlinear systems as combinations of springs, dampers, and masses.
• Analyze and interpret the response of mechanical systems to various types of excitations.
• Predict qualitatively the response of systems based on the spectral content of the excitation and thefrequency response characteristics of the system.
• Minimize the effects of transient and harmonic excitations on systems and their support structures.

• Preliminaries from dynamics
• Modeling of vibratory systems
• Single degree-of-freedom systems: governing equations, free response, periodic excitations, and transient excitation
• Multiple degree-of-freedom systems: natural frequencies, mode shapes, forced oscillations

In this course, you will be introduced to designing mechanical machines, (1) comprising subsystems and core machine components, such as couplings, bearings, fastener joints, welded joints, belts, springs, shafts, keys, retaining rings, pressure vessels, pulleys, and gear trains and (2) satisfying the end-user needs and requirements for safety, assembly, manufacturing, and maintenance.

This course in intended to serve as a bridge between the academic material you have learnt thus far in the curriculum and engineering practice. As a result, we aim to use and examine design and manufacturing situations faced in the engineering industry, which may not be readily available from typical resources such as textbooks. Expect to be exposed to a significant amount of application-oriented problem solving through hand calculations, accompanied by design of a real-life mechanical system through a team project. This methodology will help you in understanding the material for design and manufacturing applications in your careers.

• Ability to translate product requirements into component requirements (High)
• Ability to design a mechanical system and constituent components to meet desired needs (High)
• Ability to formulate and solve engineering problems (High)
• Ability to apply knowledge of mathematics, science, and engineering in the context of product design (High)
• Ability to work in team environment and gain an understanding of professional and ethical responsibility (Low/Medium)
• At the completion of the course, passing students will be able to understand product requirements at the system level and apply the course content they have learnt to successfully design bulk-produced systems, subsystems, and components to satisfy stated requirements.

• An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
• An ability to communicate effectively with a range of audiences
• An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts