Please upload you presentations (only in case you used slides) to cs540-21/lectures
- Rephael will present Netflix recommender
- Shivam will present his topic
- James will present his topic
- Sammy will present his topic
- Jared will present bigDataLogAnalysis
- David will present testing under uncertainty paper
- Tanner on Big Data Pipeline
- Christian on Decision Enable
- Tyler on Facebook News
- TBD
- Chris will do advanced shell script
- Tom covered future of software engineering
- Preston - Closed Form Implicit Surfaces
- Abhishek will present CC hype cycle
- Advanced topic: LSH and alternatives
- Worked on language dependencies task
- Leroy will present Chaos Monkey
- Open/BigData:
- Containers as a basis for devops
- History of VM
- Open/BigData
- Open/BigData
- Austin will introduce Google Security paper
- Finish WoC tutorial
- Continue WoC tutorial
- Continue WoC tutorial
- Nick will introduce docker containers
- Will continue WoC tutorial
- Anuj leads discussion of twitter.pdf
- Will continue WoC tutorial
- Please accept invite to the cs540-21 org on github
- If you have not done so register at https://github.com/woc-hack/tutorial
- Also, please get login at formerly known ACF (https://www.nics.utk.edu/account-requests)
- Pick a paper to present and note at https://github.com/CS540-21/papers/issues/1
- And schedule your presentation at https://github.com/CS540-21/papers/issues/2
- We will go over WoC tutorial today
- 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
- 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:
- Big Data
- Text analysis, e.g., Word2Vec, GloVe, NMF, LDA, LSTM
- Image analysis, e.g., RCNN, Mask-RCNN, CAM, ...
- Network analysis, network databases (neo4j),
- Advanced data analysis, Graphical models
Each of the techniques will be learned through work on a real project.