Baruch MFE Advanced C++11/14 and Multidisciplinary Applications Certificate
We are happy to announce that the “Advanced C++11/C++14 and Multidisciplinary Applications” Online Certificate is now open for enrollment, a second step in C++ education after the “C++ Programming for Financial Engineering” Online Certificate which has been completed by over 1,000 students from more than 30 countries.
content developed by best-selling author Dr. Daniel Duffy
delivered entirely online by QuantNet
personal teaching assistant for every student
private forum to interact with teaching assistants and colleagues
time frame: 20 weeks to complete the certificate
tuition cost: $1,950
register anytime at https://www.quantnet.com/advancedcpp/
experienced C++ developers who wish to learn and apply design techniques in a multi-paradigm programming environment
people who completed the Baruch MFE C++ Programming for Financial Engineering Online Certificate
people with intermediate or advanced C++98 knowledge and who wish to learn C++11/C++14
Topics Covered (selected)
C++ multi-threading, concurrency, parallel, and network programming
Boost C++ libraries
popular design and system patterns based on the object-oriented model
defined process to architecting, design and implementation of complex software systems (based on a combination of Structured Analysis, System patterns and C++11)
Full access to Level 1 materials available prior to enrollment:
(QuantNet account required in order to register. It is strongly suggested to access Level 1 materials prior to enrollment.)
We look forward to answering your questions about the course.
Share your MATLAB programs and applications with others
You can use MATLAB tools and add-on products to share your algorithms and applications.
To distribute an application directly to other MATLAB users, you can package it as a MATLAB app, which provides a single file for distribution.
To share applications with others who do not have MATLAB, you can use application deployment products to automatically generate standalone applications, shared libraries, and software components for integration with other languages, including C, C++, Java, .NET, and Python.
You can use MATLAB Coder™ to generate standalone C code from MATLAB code. This code can be used for standalone execution, for integration with other software applications, or as part of an embedded application.
This article guides you through the process of selecting the best deployment approach for your MATLAB application. It covers the three main strategies available: using batch processing to deploy MATLAB code directly, generating C code with MATLAB Coder™, and deploying with MATLAB Compiler™.
Explore the options for sharing algorithms and applications built with MATLAB. Request a trial and
Now we moving into very last few days where you can get my treasure trove of discoveries I have made over the last 3 years. You better join now before I remove all this info from the public. Last date of access will be this Jan 6/2014 otherwise it will be lost forever!