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Teaching big data
- 1. 30th Sept. 2016 LesMath 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 LesMath du Big Data Day@ENIT-LAMSIN 2 Outline ●Big Data Technologies ●Teaching Big Data: facts & fallacies ●French HPC
- 3. 30th Sept. 2016 LesMath du Big Data Day@ENIT-LAMSIN 3 Big Data Technologies Landscape It's worth knowing that we teach technologies engineering
- 4. 30th Sept. 2016 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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 LesMath 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.