Cloud Computing and Big Data – Course Fall 2018

Parallel & Scalable Machine Learning & Deep Learning
16 university lectures with additional practical lectures for hands-on exercises in context
University of Iceland, School of Engineering and Natural Sciences
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science
Fall 2018

Lecture 0 – Prologue
Slides PDF (9,59 MB)

Starting teaching period with Lecture 0 – Prologue of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today mentioning also Modular Supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/52bmhnZNhs

— Morris Riedel (@MorrisRiedel) August 30, 2018

[Optional Webinar] Practical Lecture 0.1 – Short Introduction to Python & Jupyther
Slides PDF (3,63 MB)

Performed Webinar about Python/Jupyther/Anaconda with live demos in Practial Lecture 0.1 of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today @fzj_jsc @fz_juelich – slides at https://t.co/NM29spbtaV pic.twitter.com/DwLa6eV2aZ

— Morris Riedel (@MorrisRiedel) September 4, 2018

Lecture 1 – Cloud Computing & Big Data
Slides PDF (3,66 MB)

Reviewing Big Data Books together with students & interesting discussions how Big Data & Cloud Computing enable powerful parallel/scalable machine & deep learning models in Lecture 1 today at @Haskoli_Islands @uni_iceland @fzj_jsc @fz_juelich – slides at https://t.co/NM29spbtaV pic.twitter.com/4YzJMWILSx

— Morris Riedel (@MorrisRiedel) September 6, 2018

Lecture 2 – Machine Learning in Clouds
Slides PDF (7,11 MB)

Teaching students the use of Microsoft Azure HDInsight Clouds with scalable Logistic Regression Models in Lecture 2 – Machine Learning Models in Clouds in Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @fzj_jsc @fz_juelich – slides at https://t.co/NM29soTRMl pic.twitter.com/BqbJW2NKyP

— Morris Riedel (@MorrisRiedel) September 12, 2018

Lecture 3 – Apache Spark for Cloud Applications
Slides PDF (4,37 MB)

Finished a fantastic sunny teaching week in Iceland with our Lecture 3 – Apache Spark for Cloud Applications using machine learning as part of our Big Data & Cloud Computing course at @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich – slides at https://t.co/NM29spbtaV pic.twitter.com/OKENYCwsPA

— Morris Riedel (@MorrisRiedel) September 14, 2018

[Optional Webinar] Practical Lecture 3.1 – Microsoft Azure Cloud Computing with HDInsight
Slides PDF (9,09 MB)

Performed Webinar on Machine Learning in @Microsoft @Azure #HDInsight Clouds in Practial Lecture 3.1 of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland @fzj_jsc @fz_juelich – slides: https://t.co/NM29spbtaV pic.twitter.com/9ttZrrvVLr

— Morris Riedel (@MorrisRiedel) September 19, 2018

Lecture 4 – Virtualization and Data Center Design
Slides PDF (7,01 MB)

Teaching Lecture 4 – Virtualization & Data Center Design as part of our Big Data & Cloud Computing course at @Haskoli_Islands @uisens @uni_iceland exploring techniques in large Data Centers like Google, Facebook & Microsoft @fzj_jsc @fz_juelich – slides at https://t.co/NM29spbtaV pic.twitter.com/UWwoDZ5TNf

— Morris Riedel (@MorrisRiedel) September 21, 2018

Lecture 5 – Map Reduce Computing Paradigm
Slides PDF (5,14 MB)

After a 60th birthday celebration with colleagues we explored in Lecture 5 – Map Reduce Computing Paradigm of our Big Data & Cloud Computing course that Map Reduce is often used today @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich – slides at https://t.co/NM29spbtaV pic.twitter.com/v2RFYt1yXi

— Morris Riedel (@MorrisRiedel) September 30, 2018

Practical Lecture 5.1 – AWS EMR Cloud Computing with Map Reduce
Slides PDF (14,6 MB)

Last week teaching on Practical Lecture 5.1 Amazon Web Services & Elastic Map Reduce in our Big Data & Cloud Computing course @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich & HPC Expert
Máni Viðarsson @manimarius showed our real racks – slides: https://t.co/NM29spbtaV pic.twitter.com/z3VxTWY51o

— Morris Riedel (@MorrisRiedel) October 8, 2018

Lecture 6 – Deep Learning Driven By Big Data
Slides PDF (5,14 MB)

Last week teaching Lecture 6 Deep Learning driven by Big Data in our Big Data & Cloud Computing course @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich #DeepLearning #BigData #DL & a great dinner with some of my research group members – slides: https://t.co/NM29spbtaV pic.twitter.com/j6J2Pu7IKR

— Morris Riedel (@MorrisRiedel) October 19, 2018

[Guest Lecture Gabriele Cavallaro] Practical Lecture 6.1 – Remote Sensing and Applications
Slides PDF (8,9 MB)

Thanks to Dr. Gabriele Cavallaro for a great guest lecture on Practical Lecture 6.1 Remote Sensing Systems & Applications in our Big Data & Cloud Computing course @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich #DeepLearning #BigData #DL slides: https://t.co/NM29spbtaV pic.twitter.com/iljdss0Ml9

— Morris Riedel (@MorrisRiedel) October 20, 2018

Lecture 7 – Deep Learning Applications in Clouds
Slides PDF (18,3 MB)

Last week teaching Lecture 7 Deep Learning Applications in Clouds in our Big Data & Cloud Computing course @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich #DL & being grateful for an excellent mid-semester course evaluation by students – slides: https://t.co/NM29spbtaV pic.twitter.com/8iAWGQqryF

— Morris Riedel (@MorrisRiedel) October 29, 2018

Lecture 8 – Infrastructure As A Service (IAAS)
Slides PDF (6,3 MB)

Teaching Lecture 8 Infrastructure-As-A-Service IAAS in our Big Data & Cloud Computing (Parallel & Scalable Machine Learning & Deep Learning) course @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich & guiding principles for communication – slides: https://t.co/NM29spbtaV pic.twitter.com/98dElx38ta

— Morris Riedel (@MorrisRiedel) November 3, 2018

Lecture 9 – Platform As A Service (PAAS)
Slides PDF (8,6 MB)

Teaching Lecture 9 Platform-As-A-Service PAAS in Big Data & Cloud Computing (Parallel & Scalable Machine Learning & Deep Learning) course with @GoogleCloudNord @GoogleCloud_DE ML services @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich slides: https://t.co/NM29spbtaV pic.twitter.com/ShvlW60CyR

— Morris Riedel (@MorrisRiedel) November 13, 2018

Lecture 10 – Software As A Service (SAAS)
Slides PDF (7,2 MB)

Last week teaching Lecture 10 Software-As-A-Service SAAS in our Big Data & Cloud Computing (Parallel & Scalable Machine Learning & Deep Learning) course with @awscloud Sagemaker & DeepLens @Haskoli_Islands @uisens @uni_iceland @fzj_jsc @fz_juelich slides: https://t.co/NM29spbtaV pic.twitter.com/Nvk5FswQQb

— Morris Riedel (@MorrisRiedel) November 14, 2018

Lecture 11 – Data Analytics and Cloud Data Mining
Slides PDF (7,4 MB)

Teaching MS @AzureHDInsight @HDInsight_Azure in Lecture 11 – Data Analytics & Cloud Data Mining in Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens & Cloud vendors were next door at #SC2018 JSC booth @fzj_jsc @fz_juelich – slides: https://t.co/NM29spbtaV pic.twitter.com/mWjC3Gu3LR

— Morris Riedel (@MorrisRiedel) November 21, 2018

Short Lecture 12 – Docker and Container Management
Slides PDF (4,6 MB)

Teaching @Docker in Short Lecture 12 – Docker & Container Management of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens & our students preparing for our upcoming exam being closely watched by our UGLA @fzj_jsc @fz_juelich slides: https://t.co/NM29spbtaV pic.twitter.com/hDmz4C6O4R

— Morris Riedel (@MorrisRiedel) November 25, 2018

Short Lecture 13 – OpenStack Cloud Operating System
Slides PDF (2,4 MB)

Teaching @OpenStack in Short Lecture 13 – OpenStack Cloud Operating System of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & impressions from our German-Icelandic Regulars' table 'Stammtisch' – slides at: https://t.co/NM29spbtaV pic.twitter.com/zWJ1mTGF6n

— Morris Riedel (@MorrisRiedel) November 26, 2018

Short Lecture 14 – Online Social Networking and Graphs
Slides PDF (5,9 MB)

Final teaching week with Short Lecture 14 – Online Social Networking & Graphs of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & research visit of two of our phd students Shiraz & Shahbaz Memon – slides at: https://t.co/NM29spbtaV pic.twitter.com/5h7nYMTnqC

— Morris Riedel (@MorrisRiedel) November 29, 2018

Short Lecture 15 – Data Streaming Tools and Applications
Slides PDF (5,4 MB)

Teaching Short Lecture 15 – Data Streaming Tools & Applications of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & thanks with a @DEEPprojects brunch for nice hospitality at University of Iceland – slides: https://t.co/NM29spbtaV pic.twitter.com/3vJ5slgCeL

— Morris Riedel (@MorrisRiedel) November 30, 2018

Final Lecture 16 – Epilogue
Slides PDF (4,2 MB)

Final Lecture 16 – Epilogue of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & job review & invited lecture of phd student Shiraz Memon on European Open Science Cloud @EOSC_eu @eoscpilot @EoscPortal slides: https://t.co/NM29spbtaV pic.twitter.com/eVil8RCAgn

— Morris Riedel (@MorrisRiedel) December 2, 2018

Visit of Verne Global Data Center in Iceland

Thanks to Anil Thapa of @lenovo for a nice visit to @VerneGlobal @VerneGlobalDE Data Center in Iceland in our Cloud Computing & Big Data course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & learning about BMW/Volkswagen customers; course: https://t.co/NM29spbtaV pic.twitter.com/5kWEhgvF1V

— Morris Riedel (@MorrisRiedel) December 22, 2018