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MATLAB and Simulink Based Books

Robotics in Industry and Education

LEGO Mindstorms NXT is a popular robotics platform used to teach introductory programming and controls.

LEGO Mindstorms NXT

A curriculum incorporating robotics through courses and competitions can provide practical skills and a solid grounding in mechatronics and control design theory. Robotics development requires interdisciplinary approaches that combine control design, kinematics/dynamics analysis, vision systems, and trajectory planning. Integrating robotics into the curriculum provides students with skills that they can apply in an engineering career. MATLAB® and Simulink® based books aimed at undergraduates, graduates, and practitioners support this approach.

Robotics: Modelling, Planning and Control

By Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, and Giuseppe Oriolo
Springer

Introduction to Robotics

By Subir K. Saha
Tata McGraw-Hill

Industrieroboter: Methoden der Steuerung und Regelung

(Industrial Robots: Methods of Control and Regulation)
By Wolfgang Weber
Hanser


Re-Evaluating Risk Measures in Computational Finance

The current economic crisis is changing the way financial institutions incorporate an extreme event, or “black swan,” into their strategies. In a New York Times article, options-trader-turned-academic Nassim Nicholas Taleb noted, “Any system susceptible to a black swan will eventually blow up.”

In response to this crisis, financial institutions are re-evaluating traditional risk measures, while quantitative researchers are revising their models, software development strategies, and analytics. Recent textbooks that support these trends include:

Strategic Asset Allocation in Fixed Income Markets: A MATLAB Based User’s Guide

Strategic Asset Allocation in Fixed Income Markets: A MATLAB Based User’s Guide

By Ken Nyholm
John Wiley & Sons, Inc.

Computational Macroeconomics for the Open Economy

By Guay C. Lim and Paul D. McNelis
The MIT Press

Implementing Models in Quantitative Finance: Methods and Cases

By Gianluca Fusai and Andrea Roncoroni
Springer

Integrating MATLAB into Computational Biology Courses

Scientists study the dynamics of biological systems using mathematical models and gather results from high volumes of data using data analysis and visualization. To help students learn the core computational biology principles, instructors incorporate MATLAB into their undergraduate and graduate courses. Recent textbooks that support this trend include:

Chemical Biophysics: Quantitative Analysis of Cellular Systems

Introduction to Computational Genomics: A Case Studies Approach

By Nello Cristianini and Matthew W. Hahn
Cambridge University Press

Systems Bioinformatics: An Engineering Case-Based Approach

By Gil Alterovitz and Marco F. Ramoni
Artech House

Chemical Biophysics: Quantitative Analysis of Cellular Systems

By Daniel A. Beard and Hong Qian
Cambridge University Press

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