teaching big data facts and fallacies computer science academy

1. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 1
Academic Insights on Teaching Big Data
Technologies: Facts and Fallacies
Rim Moussa
ENI-Carthage
University of Carthage
LaTICE Lab
Les Math. des Big Data Day @ ENIT Eng. School-LAMSIN Lab.30th
of September, 2016

2. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 2
Outline
●Big Data Technologies
●Teaching Big Data: facts & fallacies
●French HPC

3. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 3
Big Data Technologies
Landscape
It's worth knowing that we teach technologies engineering

4. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 4
Big Data Technologies
Scope
●Big Data Management Systems
●Data Warehousing and OLAP
●NewSQL Systems
●Real-time Systems
●Hybrid Systems
●Machine Learning
●Information Retrieval
●Infrastructure

5. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 5
Teaching Big Data
Goals
●Students
»Get a good job with no experience
●skills learned in school
●Job market
»Create a start-up
●Facilities? Co-working spaces, sponsorship programs, ...
●Nation
»Research centers
»The valley
»Leading technologies
»ROI

6. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 6
Teaching Big Data
Facts
●CS enrollments are growing
●Learning places
»Coursera: on-line courses from top universities
●Each course: 4-6 weeks + good quality materials (slides,
skilled professors' podcasts, labs) + weekly assignments +
final exam + discussion forums + certification + affordable
prices
» University X
●semester teaching periods + few assignments + few labs +
final exam
●Diploma: Past Maitrise: 7 semesters → Present Eng. schools:
5 semesters

7. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 7
Teaching Big Data
French Job Market 1/2
Looking for skilled and senior profiles

8. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 8
Teaching Big Data
French Job Market 2/2
Looking for skilled and senior profiles

9. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 9
Teaching Big Data
Curriculum and Study programs
● First,
●CS Theory; OS, data structures, algos, discrete math, stat,
networks, AI, security, compilation & language theory ….
●Script languages and prog. languages
●Software engineering, RDBMS, Web Dvpt Frameworks
●Master Program
●Distributed {computing, data management, architectures}
Real-time systems, green computing + Machine Learning +
Artificial Intelligence + Data Warehousing, Information
retrieval + GIS + {ML, DW, OLTP, IR, AI, GIS} at scale
●Programming Languages big data, frameworks THEN some
Big Data Technologies
●Labs: HPC platforms
●Senior profiles hold a PhD in High Performance Computing
(distributed systems) + other domains skills such as Machine
Learning, Data Warehousing ….

10. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 10
Teaching Big Data
Mind about ...
●Fallacy #1: HPC community
●Fallacy #2: Cost of HPC platforms
●Fallacy #3: Inter-disciplinary Master Programs
●Fallacy #5: Job Market
●Fallacy #6: ROI

11. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 11
French HPC Implementation
●Grid5000
»Since 2003
●Master programs
»Master STS Mention HPC, Simulation Scientific Computing
at Lille 1 University
●Grant program: 10.000€ per year
●Computing facilities: 45Tflops cluster
●Research projects
»Type: PIA, ANR, Region, CIFRE
»Gov. Instances: Inria, CNRS, CEA, IPGP, …. CHU
»Inria start-ups
●Tunisian implementation?

12. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 12
References
●A. Gilbert and A. Rudra (Colorado University USA)
Teaching Theory in the time of Data Science/Big Data
2016
»Thorough survey study of 24 CS B.Sc. American
Universities
●C. Mohan (IBM fellow USA)
Big Data: Hype and Reality
2013-2015
»distill reality from the hype!

13. 30th
Sept. 2016 Les Math du Big Data Day@ENIT-LAMSIN 13
Thank you for your Attention
Q & A
Academic Insights on Teaching Big Data
Technologies: Facts and Fallacies
Rim Moussa
30th
of September, 2016
@ENIT Eng. School – LAMSIN Lab.