Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- mds:ddam:start [04/11/2020 alle 00:01 (4 anni fa)] – [Metodo di valutazione - Examination process] Roberto Trasarti
+++ mds:ddam:start [30/09/2021 alle 08:25 (4 anni fa)] (versione attuale) – [Registro delle Lezioni - Lessons log (in english)] Roberto Trasarti
@@ Linea 14: / Linea 14: @@
 ===== Orario Lezioni - Lessons Schedule =====
 ^ Giorno ^ Ora ^ Luogo ^
-|Monday|14:15 - 16:00| On-line|
+|Monday|14:15 - 16:00 |C1 & Microsoft Teams |
-|Wednesday|14:15 - 16:00| On-Line|
+|Thursday|11:15 - 13:00 |M1 & Microsoft Teams |
-**Prima Lezione - First Lecture: 16/09/2020**
+**Prima Lezione - First Lecture: 13/09/2021**
-Link teams classroom: https://teams.microsoft.com/l/channel/19%3a4500e29b9644403bb4333a24473979e9%40thread.tacv2/Generale?groupId=1a3cfb99-a6dd-467c-ad9f-e745714b1f98&tenantId=c7456b31-a220-47f5-be52-473828670aa1
 ===== Scopo del Corso - Aim of the course =====
@@ Linea 31: / Linea 29: @@
 === Syllabus: ===
   * Motivations: What is and Why Distributed Data Mining is needed in a Big Data Scenario
@@ Linea 45: / Linea 42: @@
   * Data Analysis with Spark
   * Data Mining and Machine Learning with Spark
+  * Spark SQL
+  * Spark Streaming
   * Example on how to prepare a project
-===== Registro delle Lezioni - Lessons log (in english) =====
+(Slides and materials on Microsoft Teams channel: https://bit.ly/3A8dH5V)
-(Slides and materials: in the teams classroom repository)
-  * Wednesday 16/09 - Parallel Computation basic concepts, Map Reduce I (lecture 1)
-  * Wednesday 23/09 - Map Reduce II, Access to Servers (lecture 2)
-  * Wednesday 30/09 - Map Reduce III, Spark I (lecture 3)
-  * Monday 5/10 - Spark II (lecture 4)
-  * Wednesday 7/10 - Exercises (lecture 5)
-  * Monday 12/10 - Spark SQL (lecture 6)
-  * Wednesday 14/10 - MLlib I (lecture 7)
-  * Monday 19/10 - MLlib II + Exercises (lecture 8)
-  * Wednesday 21/10 - Exercises/Example Projects (lecture 9)
-  * //Break!//
-  * Wednesday 4/11 - Mlib + Spark Streaming (lecture 10)
-  * Monday 9/11 - Project idea presentation (Students presentation 10 minutes each)
-  * Wednesday 11/11 - Open Lab
-  * Monday 16/11 - Open Lab
-  * Wednesday 18/11 - Open Lab
-  * Monday 23/11 - Open Lab
-  * Wednesday 25/11 - Open Lab
-  * Monday 30/11 - Open Lab
-  * Wednesday 2/12 - Open Lab
-  * Monday 7/12 - Project Alignment II
 ===== Metodo di valutazione - Examination process =====
-Students groups made of 3 o 4 students (max) develop a project (report + short slide presentation); \\
+Students groups made of 3 o 4 students (max) develop a project (report + python notebooks); \\
-https://docs.google.com/spreadsheets/d/1bMRdG6SFE4Xn492Rvpm_AfisLLyFutecOplCQo_9-SE/edit#gid=0
 ==== Laboratory ====
 Access to a remote server with pre-installed software will be provided.
 ===== Software & Links =====
-  * Python website: http://www.python.it/download/ (Install the 2.x. Do not install 3.x). Instructions [[https://goo.gl/yBRjkG]]
+  * Python website: http://www.python.it/download/ (3.x version). Instructions [[https://goo.gl/yBRjkG]]
   * Installing Hadoop single node on your machine (without VM): https://goo.gl/KGME9t (Linux/OS) https://goo.gl/7Bkcnr (Win)
   * Spark http://spark.apache.org/downloads.html (Can be installed without hadoop)
@@ Linea 87: / Linea 65: @@
 ====== Edizioni Precedenti ======
 ^ Pagina dedicata ^ Anno accademico di riferimento ^
-| [[mds:ddam:ddam20192020|Distributed Data Analysis and Mining]] | 2019-2020 |
+| [[mds:ddam:ddam20202021|Distributed Data Analysis and Mining]] | 2020-2021 |