Engineering

This course introduces the basic concepts and techniques of planning, design and operations within a facility. Topics include forecasting techniques, aggregate planning, inventory management, material requirements planning, process planning, production systems and operations scheduling. Students examine the intuitions behind many manufacturing logistics concepts and demonstrate the application of operations research techniques to this area. The course requires students to take prerequisites.

This course covers mathematical concepts and algorithms that allow society to recover the 3D geometry of camera motions and the structures in its environment. Topics include projective geometry, camera model, one-/two-/three-/N-View reconstructions and stereo, generalized cameras and non- rigid structure-from-motion. The course requires students to take prerequisites.

This course furthers the fundamental mathematical knowledge and skills that are necessary in engineering. Topics include complex numbers, vectors, matrices, limits and continuity of functions, derivatives and integration and their applications, multivariable calculus, partial derivatives, ordinary differential equations, double integrals in polar coordinates, dot product, and cross product. The course requires students to take prerequisites.

A robot is an intelligent mechanical system with multiple degrees of freedom. This course investigates the fundamentals of modeling and control of a robot manipulator. The course covers spatial descriptions and transformations; manipulator kinematics, and manipulator dynamics. 

Required Course Prerequisites: Linear Algebra and Control Engineering I. 

This course introduces methods for creating systems that use data intelligently to improve themselves. This requires combining human intelligence (using methods like crowdsourcing, collaborative design) with artificial intelligence (discovering which technology designs help which people) through designing randomized A/B experiments that are collaborative, dynamic, and personalized. The course requires students to take prerequisites.

The objective of this course is for students to learn to appropriately apply discrete event simulation modeling for decision support in Industrial Engineering problems through developing skills in model building, simulation output analysis, and communication of technical information and conclusions drawn from data analysis. Topics include Introduction to Discrete, Event System Simulation, Simulating a Queueing System, General Principles, Discrete Distributions & Continuous Distributions, Poisson Process and Characteristics of Queueing Systems, Long-Run Measures of Performance of Queueing Systems, Steady-State Behavior, Networks of Queues, Techniques for Generating Random Numbers, Tests for Random Numbers: Tests for Autocorrelation, Inverse-Transform & Acceptance-Rejection Techniques, Parameter Estimation, Data Collection & Identifying the Distribution with Data, Multivariate and Time-Series Input Models, and Stochastic Nature of Output Data.

This course covers elasticity, structural analysis, energy and matrix methods, fatigue, vibration, airworthiness and aeroelasticity. It provides general information of aircraft structures and materials, and transfer of external aerodynamic loads into structural internal forces. The focus is to deliver the fundamental knowledge for stresses, deflection, and buckling analysis of these structural components under various static loading conditions including torsion, bending and shear. Lectures emphasize the fundamentals of structural mechanics and analytical approaches for analysis of aircraft structures. Students learn to derive the theory of linear elasticity and apply it to analyze the components subjected to typical aircraft loading conditions and design requirements. Tutorials provide a set of lessons and exercises teaching the concepts and methodology in analysis of aircraft structures. The students learn and understand the procedure of aircraft structural analysis from following tutorial problem solving exercises with group discussions.

This course is designed to acquire knowledge of fundamental and advanced concepts in optics, and a general understanding of when and how these concepts are possible and appropriate to use. The course deals with optical devices and their operation and aims to provide students with practical knowledge in optical design using a ray-tracing program. The course has the following content. Every topic is coupled to a chapter or parts of a chapter in the course book: Ray optics, matrix formulation; Wave optics, interference; Fourier optics, diffraction; Electromagnetic optics; Anisotropic media; Polarization, Jones matrix formalism; and Optics of layered media and photonic crystals.
 

This course covers an in-depth understanding of the physics and principles behind lasers. The course covers the theoretical foundations of beam optics, cavity optics, light–matter interaction, laser amplifiers, and laser systems. Furthermore, the course aims for the student to gain both fundamental knowledge and practical skills necessary to study and apply lasers in scientific and technical contexts.
 

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. This course consists of two modules: Marine Renewable Energy and Bioenergy, Hydrogen, and Heat Recovery Systems. 

For Marine Renewable Energy, students acquire the ability to assess marine renewable energy potential and to conceptually design energy devices. They are able to assess marine energy potential (wind, waves, tides, currents, etc.) and have knowledge about devices for marine energy harvesting and technological challenges, and assessment of environmental, social, and economic impacts. The module covers the following topics: Marine renewable energy: sources (wind, wave, tide) and variability; Type of marine renewable energy converters; Environmental impact and cost of MRE devices; Optimal mixing of MRE; Multi-use marine areas and integration of different economic activities: MRE, aquaculture, tourism, maritime hubs; and Re-purposing of O&G platforms.

Bioenergy, Hydrogen and Heat Recovery Systems module provides the student with knowledge and understanding about: Biomass and alternative fuels for energy application: production, treatment and storage, thermochemical conversion, environmental and economic aspects; Hydrogen for energy and transport applications: characteristics, production, gas-to-power (G2P) and power-to-gas (P2G) systems, technologies for upgrading fuels (synthetic methane), fields of application, integration into the existing infrastructure; Heat recovery systems: cycles and working principle of the main heat-to-power (H2P) technologies (Organic Rankine Cycle and Stirling engine). After completion of the course the students should (i) gain general competence related to bioenergy and hydrogen-based systems and their potential in future energy supply; (ii) working with cross-cutting problems related to bioenergy and hydrogen; (iii) analyzing potential and characteristics of Organic Rankine Cycle systems heat recovery from medium and low-temperature heat sources.