Class Mar 24:

• Anyone willing to present?

The proposed presentation dates are here

Class 7: Feb 15:

• Rachel: PyTorch BigGraph
• Mahmoud: ChaosMonkey

Class 6: Feb 10:

• Andrew: facebookNews (continued)

Class 5: Feb 8

• Zhixiu: TestingInUncertainty

Class 4: Feb 3: No class

Class 3: Feb 1

• Software supply chains and world of code

Class 2:

Finished Evidence Engineering lecture

Class 1: Monday Jan 13

1. Fork https://github.com/EvEng-22/students
2. Introduce yourself via a netid.md file (do not create netid.md, but replace netid by your own netid in all lowercase). Please provide at least one sentence on your background and one full paragraph explaining ether a project you are already working on or a project you'd like to work on for this class.
3. Now go to your fork (https://github.com/yourGHid/students) and click on Create Pull Request on students repository

Syllabus and News for CS594/690: Evidence Engineering

All classes will include a zoom option and will be recorded. Please choose the way to participate that best suits your needs.

A link to class recordings

• Course: [COSCS-594/690]
• ** MK623 TR TTh 02:50PM-04:05PM (Min Kao 404) and over zoom https://tennessee.zoom.us/j/99540828537 **
• Instructor: Audris Mockus, audris@utk.edu office hours MK613 - on request

The primary purpose of the course is to learn-by-doing advanced operational data techniques including:

1. Text analysis, e.g., Word2Vec, GloVe, NMF, LDA, LSTM
2. Image analysis, e.g., RCNN, Mask-RCNN, CAM, ...
3. Network analysis, network databases (neo4j),
4. Advanced data analysis, Graphical models

Each of the techniques will be learned through work on a real project.

Draft Syllabus