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--- didattica:magistrale:bda:ay_1718:main [2017/09/19 21:33]
massimo [Exams]
+++ didattica:magistrale:bda:ay_1718:main [2020/09/17 16:55] (current)
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 ====== Big Data Analytics ======
-----
 ===== News =====
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+   * <wrap em>**Exam update**</wrap>: Appello Big Data Analytics scheduled for 12/11/2018 has been re-scheduled for 26/07/2018 at 14:30pm.
+   * <wrap em>**Exam update**</wrap>: Appello Big Data Analytics scheduled for 12/11/2018 has been re-scheduled for 26/07/2018 .
+   * <wrap em>**Exam results 2018-06-14**</wrap>: results have been published {{ https://drive.google.com/file/d/1uEYyZEPAIllN0D8wrvbyAAG33itVjc5U/view?usp=sharing | link }}. Students can confirm their vote by mail and register at the next exam session.
+   * <wrap em>**Exam results 2018-03-06**</wrap>: results have been published {{ https://drive.google.com/file/d/1NGU79ju41ZGmAGy7WBBtph8y9F0vSCcr/view?usp=sharing | link }}. Students can confirm their vote by mail and register at the next exam session.
+   * <wrap em>**Exam update**</wrap>: Appello Big Data Analytics scheduled for 22/2/2018 has been re-scheduled for 6/3/2018 .
+   * <wrap em>**Exam update**</wrap>: Writing exam - BDA part 1 scheduled for 1/3/2018 has been re-scheduled for 6/3/2018 .
+   * <wrap em>**Exam results 2018-02-08 A.A. 2017-18**</wrap>: results have been published {{ https://drive.google.com/file/d/1HT_i75DA3DtQfa4dfpgmrpTi-BV70ey6/view?usp=sharing | link }}. Students can confirm their vote by mail and register at the next exam session.
+   * <wrap em>**Exam results 2018-02-08 A.A. 2016-17**</wrap>: results have been published {{ https://drive.google.com/file/d/1j1PlOMmjljp0tJvbGK6RZEYR1b6lSmnM/view?usp=sharing | link }}. Students can confirm their vote by mail and register at the next exam session.
+   * <wrap em>**Exam update**</wrap>: exam scheduled for 8/2/2018 will be held in AB3, 15:00-16:00. Two types of exam will be held: A.A. 2016-17 (full exam for the past course), A.A. 2017-18 (partial for the new course).
+   * <wrap em>**Exam update**</wrap>: exam scheduled for 1/2/2018 has been re-scheduled for 8/2/2018 .
+   * <wrap em>**Course update**</wrap>: Homeworks are now available in **Study Material** section.
+   * <wrap em>**Lecture update**</wrap>: Le lezioni della seconda parte del corso inizieranno l'8 gennaio e seguiranno per 4 settimane come corso intensivo di 21 ore. Siete invitati ad iscrivervi al gruppo facebook BIGDATA-2017
+   * <wrap em>**Lecture update**</wrap>: Next lecture is scheduled for 27th november 2017 at 14:00pm - room LA2.
+   * <wrap em>**Lecture update**</wrap>: Next lecture is scheduled for 20th november 2017 at 14:00pm - room LA2.
+   * <wrap em>**No lesson 9th november 2017**</wrap>: Lecture suspended. Next lecture is 13th november 2017 at 14:00pm.
+  * <wrap em>**Papers 2016-17**</wrap>: available {{ https://drive.google.com/drive/folders/0B3Jl2zBf8Y-pV2hsTXRPZGJaZEE?usp=sharing | here }}.
+   * <wrap em>**No lesson 26th october 2017**</wrap>: Lecture suspended. Next lecture is 9th november 2017.
   * <wrap em>**Course start**</wrap>: lessons will start on 5th October 2017.
+  * <wrap em>**Course 2017-16**</wrap>: {{https://goo.gl/PDpZPw | link }}
 </WRAP>
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 **Teacher**:
+  * **Prof.ssa Emanuela Merelli** <emanuela.merelli[at]unicam.it>
   * **Dr. Massimo Callisto De Donato** <massimo.callistodedonato[at]gruppofilippetti.it>
 **Lessons schedule**:
-  * 42 h - lecture and exercise sessions
+  * 42 h - lectures (2 modules), exercise sessions
-  * Thursday: 15:00 pm – 18:00 pm
+  * Thursday: 16:00 pm – 19:00 pm
+  * Room LA2 - Polo "Carla Lodovici"
 **Students Office hours**:
@@ Line 43: / Line 63: @@
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   * **Introduction to Big Data**
-    * What are Big Data
+    * Why Big Data
-    * Big Data in the real world
+    * Big Data use cases in the real world
-    * Needs and Challenges of Big Data
+    * Needs, challenges and opportunities of Big Data
-    * Characterize Big Data
+  * **Big Data models: Methodologies and Techniques**
-  * **Big Data models: from storage to processing**
+    * The 3V model
-    * The V model
     * From datawarehouse to Big Data
-    * Aspect of Distributing Storage
+    * Enable Big Data Analysis
-    * Distributed Processing
+  * **Big Data Analysis: storage**
-    * NoSQL
+    * Storage models for Big Data
-    * Distributed Search
+    * Hadoop framework
-  * **Big Data Analisys: Methodologies and Techniques**
+    * hdfs filesystem
-    * How enabling Big Data Processing
+  * **Big Data Analysis: computation**
-    * The Hadoop framework
+    * Computational framework for Big Data Analysis
-    * HDFS: hadoop filesystem
+    * Data at rest and Data in motion
-    * Computational framework: MapReduce and YARN
+    * MapReduce and YARN framework
-    * HBase as NoSQL database
+    * Other related processing frameworks
-    * Other related hadoop processing frameworks
+  * **Big Data Analysis: NoSQL**
-    * Practical Examples
+    * Databases in Big Data systems
-    * Apache Spark
+    * The CAP theorem and BASE model
-    * Apache Cassandra
+    * NoSQL data models
+  * **Big Data Analysis: streaming**
+    * How enabling Big Data Streaming Processing
     * Batch processing Vs RealTime processing
-    * Apache Spark Streaming
+    * An overview of Apache Spark
-    * Apache Storm
+  * **Advance topics in Big Data Analysis**
-  * **Big Data Analysis applications**
-    * Big Data in practice: connecting with IoT
-    * Use cases scenario
-  * **Advance Big Data Analysis**
-    * Distribuited graph modelling framework
-    * Machine Learning
-    * Baysian Newtork
 </WRAP>
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 **Course Slides**
-  * -
+  * slide 1st_0 lesson {{ https://drive.google.com/file/d/0B3Jl2zBf8Y-pSWJqaDQ5WWVoeWs/view?usp=sharing | slides_1}}
+  * slide 1st_1 lesson {{ https://drive.google.com/file/d/0B3Jl2zBf8Y-pbG0zcm5aS0pmSUU/view?usp=sharing | slides_1_1}}
+  * slide 2st lesson {{ https://drive.google.com/file/d/0B3Jl2zBf8Y-pNHZlUXFCbXV2NGs/view?usp=sharing | slides_2}}
+  * slide 3st_1 lesson {{ https://drive.google.com/file/d/0B3Jl2zBf8Y-pV0p4ekJ0RnhpdXM/view?usp=sharing | slides_3st_1}}
+  * slide 3st_2 lesson {{ https://drive.google.com/file/d/0B3Jl2zBf8Y-pYU5HRVBYV3lNYU0/view?usp=sharing | slides_3st_2}}
+  * slide 4st lesson {{ https://drive.google.com/file/d/1ENRrfxuhoH8h4Kuir8Omx7B5jZUaGYht/view?usp=sharing | slides_4st}}
+  * slide 5st lesson {{ https://drive.google.com/file/d/1ncOQ2skwVcp-UVQtjR7Zfcw3n6JXSLxB/view?usp=sharing | slides_5st}}
+  * slide 6st lesson {{ https://drive.google.com/file/d/10WsuwCjFC4SiyQnKZnfFICX2DXK6X75D/view?usp=sharing | slides_6st}}
+  * slide 6_1st lesson {{ https://drive.google.com/file/d/1VZIkzkO9F2_Ok7Lwhy8mA_6rPy6opklC/view?usp=sharing | slides_6_1st}}
+  * slide 7st lesson {{ https://drive.google.com/file/d/1TSSCo4iaazxD5Ua02T2V_c-fV3wbTOP3/view?usp=sharing | slides_7st}}
   * **Reference materials**
@@ Line 88: / Line 111: @@
   * **Homework**
-  * -
+  * {{ https://drive.google.com/file/d/15r_hh1dpREW9GgwaMqJEShRwDcN9D-aB/view?usp=sharing | Info and available homeworks}}
+  * {{ https://drive.google.com/file/d/1bHKfxpLIyQCBjfuNOnbFRHH9qUhO4qPW/view?usp=sharing | Template (.doc) }}
 </WRAP>
@@ Line 95: / Line 119: @@
 ===== Exams =====
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-**Exam Dates A.Y. 2015/2016**
+**Exam Dates A.Y. 2017/2018**
   * 08/02/2018 - 15:00
-  * 08/03/2018 - 15:00
+  * 06/03/2018 - 15:00
-  * 21/06/2018 - 15:00
+  * 14/06/2018 - 15:00
   * 12/07/2018 - 15:00
   * 20/09/2018 - 15:00
+  * 22/11/2019 - 15:00
   * 07/02/2019 - 15:00
-  * 21/02/2019 - 15:00
 **Exam rules**:
@@ Line 112: / Line 136: @@
 ** Exam Results **
-  * {{https://drive.google.com/file/d/0B3Jl2zBf8Y-pVTg5X1BUYXNpUVU/view?usp=sharing | 2017-03-30 }}
+  * -
-  * {{https://drive.google.com/file/d/0B3Jl2zBf8Y-pTkc5aV9zSXMxUEk/view?usp=sharing | 2017-03-16 }}
 </WRAP>