Computer Science Discipline Council
Spring Meeting, February 8, 2019, 9:00am -1:00pm
CUNY Graduate Center, Concourse Level, Room C203/C204/C205
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This special program has talks from some of the software companies that CUNY supports as free downloads. The program includes presentations by Microsoft, Mathworks(matlab), Mathematica, Maplesoft, and the Adobe Creative Suite. Each company will do two 40 minute presentations, most oriented toward research uses, the other on educational enhancements. Please see below.

We will be inviting other STEM disciplines to this meeting, since it has broad interest.

You MUST REGISTER for which talks you are interested in attending since space is limited.

We wish to thank CUNY’s Office of Computing and Information Services (CIS) for helping to make this possible.

 
Room C203
Room C204
Room C205
09:00 - 09:15
    Sign in and Coffee
09:15 - 09:55
Adobe – Cultivating Digital Literacy   Coffee
10:00 - 10:40
Adobe – Cultivating Digital Literacy   Microsoft in Higher Education Teaching and Learning
10:45 - 11:25
The Maple Programming Language Teaching and Learning with MATLAB in the Modern Classroom Microsoft in University Research
11:30 - 12:10
The Mobius Online Platform What's New in MATLAB Mixing

 

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9:00 - 9:15
RM C205 | Sign in and Coffee
9:15 - 9:55
RM C203 | Adobe – Cultivating Digital Literacy, Mark Caruso, Adobe
  • How colleges and universities can teach essential skills for success in the age of automation and digital transformation.

RM C204 | 

10:00 - 10:40
RM C203 | Adobe – Cultivating Digital Literacy, Mark Caruso, Adobe
  • How colleges and universities can teach essential skills for success in the age of automation and digital transformation.

RM C204 | 

RM C205 | Microsoft in Higher Education Teaching and Learning, Adam Reed, Senior Account Manager – NYC Major Accounts, Microsoft

  • Faculty / student collaboration scenarios using Office 365
  • Virtual labs and virtual desktop solutions
  • STEM and data science courseware and solutions
  • Accessiblity solutions in Office 365
10:45 - 11:25
RM C203 | The Maple Programming Language, Daniel Skoog, Product Manager, Maplesoft

In the past three decades, Maple has evolved from a symbolic computation engine to a fully featured mathematics software package that includes natural math notation for input and output, easy-to-use tools for creating interactive documents, and access to a vast programming language with commands for mathematical, scientific and engineering computation.

In this talk, Maplesoft staff will provide an overview of Maple, including:

  • Maple’s use for research including recent trends in symbolic analysis, visualization, code translation, data analysis and user interface construction
  • Maple’s use in education including ways that Maple provides students with coding experience that supports their overall learning in mathematics and computer science

Newcomers to Maple, as well as experienced users who are interested in trying out the latest we have to offer, are welcome.


RM C204 | Teaching and Learning with MATLAB in the Modern Classroom, Div Tiwari, Customer Success Engineer, MathWorks

MATLAB and Simulink provide a flexible and powerful platform to develop and automate data analysis and simulation workflows in a wide range of domains and industries. Recent innovations in the product make it easier to use it for teaching, learning and collaboration across disciplines like engineering, sciences, medicine, business, etc. In this session, we will discuss the latest MATLAB-based tools and resources that make it easy to teach and learn in the modern classroom.

Highlights include:

  • Course development: MATLAB Courseware, Industry application examples, Books
  • Course administration: Auto-grading, LMS Integration, MATLAB Online, MATLAB Drive
  • Student Engagement: Live Editor, Hardware Support, Interactive Books
  • Student Support: Self-paced Trainings, User Community, MATLAB Mobile

Div Tiwari

Div Tiwari is a Customer Success Engineer at MathWorks. He has a BS in Electrical & Computer Engineering and an MEng in Computer Science from Cornell University. His technical interests are in the domains of statistics, machine learning, modeling and simulation, image processing, complexity theory, and astrophysics. In his current role, he partners with academic institutions to help enable the most effective use of MathWorks products for curriculum and research.


RM C205 | Microsoft in University Research, Adam Reed, Senior Account Manager – NYC Major Accounts, Microsoft

  • High-performance computing and data / AI
  • Open-source research solutions
  • Augmented reality / virtual reality
  • Case studies of other universities
11:30 - 12:10
RM C203 | The Mobius Online Platform, Andrew Rourke, Director of Teaching Solutions, DigitalEd

The Mobius Platform extends the power of the Maplesoft technologies to bring STEM-courseware and testing and assessment into the online environment. Already employed by CUNY’s Elementary Algebra Exit Test, Mobius has full application within Computer Science for both teaching concepts and formative assessment of student knowledge.

In this talk, DigitalEd staff will provide an overview of Mobius, including:

  • The tight product relationship between Maple and Mobius
  • Mobius’ use in education, including ways it provides students with opportunities for online exposition, interactivity and assessment to support their overall learning in mathematics and computer science

RM C204 | What's New in MATLAB, Div Tiwari, Customer Success Engineer, MathWorks

Are you using MATLAB to its fullest potential?

MATLAB has changed significantly over the last 5 years to address the growing needs of our users, but we've noticed that even experienced MATLAB users aren't taking advantage of our latest and greatest features. This interactive session will cover the newest MATLAB features of interest to researchers in Computer Science.

Highlights include:

  • Machine Learning
  • Deep Learning, Neural Networks
  • Internet of Things
  • Graph visualization & analysis

Div Tiwari

Div Tiwari is a Customer Success Engineer at MathWorks. He has a BS in Electrical & Computer Engineering and an MEng in Computer Science from Cornell University. His technical interests are in the domains of statistics, machine learning, modeling and simulation, image processing, complexity theory, and astrophysics. In his current role, he partners with academic institutions to help enable the most effective use of MathWorks products for curriculum and research.

12:10 - 1:00
RM C205 | Mixing
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