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Pop Up Courses Sign Up (Arch Summer 20)

Pop Up Courses

Description: These virtual "short" courses  are designed to build on current Arch summer term offerings. Courses can range from Financial Literacy to Python Programming. All courses are taught by RPI faculty (or guest lecturers). The listing for these courses will continue to populate throughout the summer term. So if you do not see something of interst to you now, check back, as there will be others added. Students can sign up for as many as desired, keeping in mind that faculty plan for a particular number of participants. 

When: The session dates and topics are listed below. You can sign up for one or more.  

Time: Varies

Contact:  Office of Undergraduate Education

*Participants will be contacted prior to the session date and provided with the appropriate log on information. *                    

Instructor Date/Time Title/Course Description  

Thomas Shohfi

shohft@rpi.edu

Lally

July 15th  

2-4pm

The Finance in Film: A Look at Wall Street in Movies

Investments I

Wall Street and high finance have been glorified and scrutinized in a variety of films. This pop-up course examines various films and the (in) accuracy of their portrayal of the financial system. Films examined include The Big Short, Boiler Room, Margin Call, Too Big to Fail, Wall Street, Wall Street: Money Never Sleeps, and The Wolf of Wall Street. Sharpe your knowledge of both film and finance in one pop-up course!  

Thomas Shohfi

shohft@rpi.edu

Lally

July 22nd

 2-4pm

A Primer on Personal Finance

MGMT 2320, MGMT 4320

Personal financial literacy is essential for the long-term success of every working professional (which RPI students will soon be). This personal finance primer covers basic financial topics such as interest rates (applied to credit cards, student loans, etc.), taxes, budgeting, investing, and insurance and also references practical tools to better manage each of them. Whether you're interested in actively investing in the stock market, planning passive portfolio contributions for retirement, or wisely managing debt, there is something in this course that can help each RPI student make better financial choices. Don't delay! Start thinking about your financial future now!  

John Wen

wenj@rpi.edu

(ECSE) Electrical, Computer, & Systems Engineering

July 8

2pm-4pm

Python Programming in Robot Operating System

(ROS) and Robot Raconteur

 

 

ENGR 2350

ROS (Robot Operating System) is an open source middleware communication software framework that is becoming very popular in the robotics research community and robotics start-up companies.

Robot Raconteur (RR) is an alternative/complementary framework that was developed at RPI. This short course will introduce ROS and RR and cover the basic Python programming to use them for communication and control.  Linux Bionic is recommended.

 

More Available Courses:

Helen Zhou

zhouy12@rpi.edu

Cognitive and Immersive Systems Lab

Monday August 3rd 12 PM – 1 PM

Monday August 10th 12 PM – 1PM

 

SESSION CANCELED

 

Learning Mandarin with Online Games Supported by AI

 

This pop up course relates to the Mandarin Project and is a core component of the related research.

This is a two hour course (on two different days) with the first hour spent (Aug. 3rd) on teaching students how to play a few online games and how to engage with a virtual spring-break to a few cities in China, as well as teaching the related Mandarin language elements in these games. Topics include a healthcare scenario for students to learn how to deal with related situations in a trip to China. Students will have access to these games and the web-based technology for one week. After a week of game-play, students will meet for a second hour (Aug. 10th) to provide feedback on their learning experiences.

Hui Su

drozdj3@rpi.edu

Computer Science

 

SESSION IS CANCELED

Wednesday August 12th 10 AM – 1 PM

 

 

 

Understanding the Machine Learning Lifecycle

 

THIS SESSION IS CANCELED

Machine learning (ML) is a form of AI that uses algorithms to parse data and learn from it without being explicitly programmed. A ML system can be described through the lifecycle of ML which consists of three phases. While it is a complicated process, ML is an increasingly popular topic and research focus in the computer science domain. This pop up course on machine learning gives an overview of the ML lifecycle from data preparation to model selection. Critical processes and their implications will be discussed. A new AI tool that automates machine learning will be demonstrated to outline the lifecycle and students will have the opportunity to practice their ML skills with this tool. After this course, students will better understand the machine learning lifecycle and how it is being automated with AI.

Azita Hirsa

hirsaa3@rpi.edu

School of Engineering (ISE)

 

Monday June 22, 2020 at 2:00PM EDT

Critical Thinking and Analysis: A Guide for Writing your Research Paper

In this 90-minute session we will discuss how critical thinking adds value in guiding you to write a more thoughtful research paper, without worries and procrastination We will consider questions like:
+What is Critical Thinking? -- What is it and why do we need it?
+The Process of Critical Thinking -- Where do we start? What do we do?
+The Components of Critical Thinking -- The five elements of critical
+thinking Common Pitfall -- Things to watch out for Dos and Don'ts --
+Simple tips and tools for write up From Descriptive to Critical --
+How to develop critical thinking skills