Full-Power

Project Presentations

5/8

5/10

5/12

5/19

Everything needs to be done

* Swarthmore

* IntellAdapt

* BCH

* LE-V-EL

* Northwestern

* FlyEM

* FluxMarine

* MGH

* Robomaster

* UPenn

* Axolotl

* BWH1

* BWH2

* OMAMA-DB

* TradingBot

Project Presentations

Be loud, be proud!

Stay High-level (nobody wants all the details)

Summarize the project

Talk about your Plan, Ideas, and Solutions

Describe the Main Challenge

And how you solved it...

Show something in action (video or live)

Describe final steps to finish in the last weeks..

Opportunity!

Grade!

Project Presentations

10 minutes per team

Suggestion: use max. 8 slides

1. Client and Team

2. Project intro

3. Demo (video or live)

4. Main Challenge 

5. Solution 

6. Technologies used

7. Lessons learned, Teamwork enhancements..

8. Final steps to finish

Update your client this week!

Did you create something useful?

Github Repository

Final Google Doc

Peer Assessment

rate each other

Functions, Classes

Arrays, Vectors

Templates

Cython

Run our C++ code in Python using Cython

and compare timing against NumPy

Analyze a bunch of numbers and calculate min, max, mean, stddev.

MNIST

MNIST

cat

Convolutional Neural Network

Original Dataset

CS410 Dataset

CS410 Lecture 31

By Daniel Haehn

CS410 Lecture 31

Slides for CS410 Software Engineering at UMass Boston. See https://cs410.net!

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