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Please upload you presentations (only in case you used slides) to cs540-21/lectures

April 27th

  • Rephael will present Netflix recommender
  • Shivam will present his topic
  • James will present his topic
  • Sammy will present his topic

April 22th

  • Jared will present bigDataLogAnalysis

April 20th

  • David will present testing under uncertainty paper

April 15th

  • Tanner on Big Data Pipeline

April 13

  • Christian on Decision Enable

April 8

  • Tyler on Facebook News

April 6

  • TBD

Apr 1

  • Chris will do advanced shell script

Mar 30

  • Tom covered future of software engineering

Mar 25

  • Preston - Closed Form Implicit Surfaces

Mar 23

  • Abhishek will present CC hype cycle

Mar 18

Mar 16

  • Worked on language dependencies task

Mar 11

  • Leroy will present Chaos Monkey

Mar 9

Mar 4

  • Open/BigData

Mar 2

  • Open/BigData

Feb 25

  • Austin will introduce Google Security paper

Feb 23th

  • Finish WoC tutorial

Feb 18th

  • Continue WoC tutorial

Feb 16th

  • Continue WoC tutorial

Feb 11th

  • Nick will introduce docker containers

Feb 9th

  • Will continue WoC tutorial

Feb 4th

  • Anuj leads discussion of twitter.pdf
  • Will continue WoC tutorial

Class 2:

Class 1:

  • Please fill a form at https://github.com/woc-hack/tutorial
  • Please describe who you are, your interests, and what you expect from the class and submit it as a file yournetid.md in a pull request to repo CS540-21/students

Syllabus and News for CS594/690: Advanced Software Engineering

  • Course: [COSCS-540]
  • ** 09:50AM-11:05AM online Zoom bridge 276-644-8345 ** ** recordings
  • Instructor: Audris Mockus, [email protected] office hours - on request

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

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

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

Draft Syllabus

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