Differences

This shows you the differences between two versions of the page.

--- didattica:magistrale:kebi:ay_2021:main [2021/05/27 11:19]
knut [Exams]
+++ didattica:magistrale:kebi:ay_2021:main [2021/09/24 11:58] (current)
holger [Exams]
@@ Line 10: / Line 10: @@
 Best regards,
 Knut
+</WRAP>
------
+<WRAP box round 95% center>
 Welcome to the lecture in Knowledge Engineering!
@@ Line 206: / Line 206: @@
   * Lecture “Ontology-based Modelling”
     * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-10_ontology-based_modeling.pdf |Ontology-based Modelling}}
-/*      * Practice Session: {{ :didattica:magistrale:kebi:ay_2021:practice_session_-_ontology-based_enterprise_modeling_for_design.pdf |Agile Ontology-based Modelling for Design}} */
     * Literature: [[https://docenti.unicam.it/ApriMat.aspx?id=12200 | Hinkelmann et al. (2016). A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontologies]]
     * Literature: [[https://docenti.unicam.it/ApriMat.aspx?id=12248 | Hinkelmann et al. (2018). Ontology-based Metamodelling.]]
@@ Line 212: / Line 211: @@
       * Data/Ontologies: https://aoame-fuseki.herokuapp.com/dataset.html
       * Modeling Environment: https://aoame.herokuapp.com/modeller
-/*
-  * Lecture "Symbolic Machine Learning"
+  * Lecture "Machine Learning"
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-11-1_machine_learning_idea.pdf |The Idea of Machine Learning}}
+    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-11-1_machine_learning.pdf |Introduction to Machine Learning}}
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-11-2_symbolic_learning_-_learning_decision_trees.pdf |Learning Rules}}
+    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-11-2_learning_decision_trees.pdf |Symbolic Machine Learning: Learning Decision Trees}}
     * Reading Material:  {{ :didattica:magistrale:kebi:ay_1718:decision_tree_learning_lecture.pdf |Decision Tree Learning}}
     * Exercise: {{ :didattica:magistrale:kebi:ay_1718:exercise_learning_carsales.pdf |Auto Traders}}
@@ Line 223: / Line 221: @@
     * Tool: {{ :didattica:magistrale:kebi:ay_1718:weka_introduction.pdf |WEKA Learning Environment}}
     * Data Sets: {{ :didattica:magistrale:kebi:ay_1718:datasets.zip |playing tennis, creditworthyness (CSV Files), car sales and Health Insurance (ARFF and Excel file)}}
-    * [[https://fhnw.zoom.us/rec/share/4pRULKHg7CRLTZ3P5lHNS5N5QorEX6a8g3VN_voNzhuNpcU3eD7lXEVoBHCyR4vr | Recording]] (Password on request)
   * Lecture "Combining Machine Learning and Knowledge Engineering"
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-12-1_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}}
+    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-12_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}}
     * Example: {{ :didattica:magistrale:kebi:ay_2021:example_machine_learning_and_knowledge.pdf |Machine Learning and Knowledge}}
-    * Assignment: {{ :didattica:magistrale:kebi:ay_1819:assignment_health_insurance_knowledge.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}
+/*     * Assignment: {{ :didattica:magistrale:kebi:ay_2021:assignment_health_insurance_knowledge.pdf |Health Insurance: Combining Learning with Knowledge Engineering}} */
-    * Assignment: {{ :didattica:magistrale:kebi:ay_2021:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering (incl solution)}}
+    * Assignment  with Solution: {{ :didattica:magistrale:kebi:ay_2021:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}
-    * [[https://fhnw.zoom.us/rec/share/zJUkPrLu1khOSYGcwU_harEsRZr9T6a8gXIY_PJcmRsP1giTRCs0iUce7kGkx0OR | Recording]] (password on request)
+      * {{ :didattica:magistrale:kebi:ay_2021:prolog_and_ontologies.pdf |Representing the knowledge in Prolog and RDFS}}
-  * Lecture “Neuronal Networks”
-      * Whiteboard: [[https://drive.google.com/drive/folders/17Fg9Tvu0srPEFpPE3jbnf7xcSVakziGk?usp=sharing | Holger's Whiteboard]]
-      * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-13-neuralnetworks.pdf |Neuronal Networks}}
-      * Example for Backpropagation: {{ :didattica:magistrale:kebi:ay_2021:backpropagation.xlsx |Excel}}
-      * Colab example: [[https://colab.research.google.com/drive/1fEmT2AoeGAvfm8_ZIYSEUBU6jsQ8TjSt?usp=sharing |Fraud detection of credit card usage]]
-      * [[https://fhnw.zoom.us/rec/share/wPdHIZWvyUZOWIXS7UftVLAvAYrGeaa8h3dL8vpemUYYe8HrvWy-EtUQq-1DmTvD | Recording]] (Password on request)
   * Lecture “Case-Based Reasoning”
-      * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-14-cbr.pdf |Case-Based Reasoning}}
+      * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-13-cbr.pdf |Case-Based Reasoning}}
+/*       * Assignment: {{ :didattica:magistrale:kebi:ay_2021:assignment_health_insurance_cbr.pdf |CBR for Health Insurance Applications}} */
       * Assignment and Solution: {{ :didattica:magistrale:kebi:ay_2021:assignment-solution_health_insurance_cbr.pdf |CBR for Health Insurance Applications}}
-      * Assignment: {{ :didattica:magistrale:kebi:ay_2021:assignment_health_insurance_cbr.pdf |CBR for Health Insurance Applications}}
-      * [[https://fhnw.zoom.us/rec/share/6_daf5Db0GFOXaPD0x7wGY0HWdnEX6a81igWqaJbnU9hF8O-FtImq3xRxdtMFwvT | Recording]] (Password on request)
-  * Lecture "Business Intelligence"
-    * {{ :didattica:magistrale:kebi:ay_2021:ke-15_business_intelligence_intro.pdf |Business Intelligence: Making Informed Decisions}}
-  * Lecture: "Business Performance Management"
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-16_bpm_bsc.pdf |Business Performance Management and Balanced Scorecard}}
-    * Exercise: {{ :didattica:magistrale:kebi:ay_2021:exercise_swissbikes_bsc.pdf |Balanced Scorecard for Swiss Bikes}}
-    * Case: {{ :didattica:magistrale:kebi:ay_1819:swissbikes1-04_engl.pdf |Swiss Bikes}}
-  * Lecture: "Data Warehousing"
-    * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-12-bi_dwh.pdf |Data Warehousing}}
-    * Book: [[ftp://nozdr.ru/biblio/kolxoz/Cs/CsDb/Kimball%20R.,%20Ross%20M.%20The%20data%20warehouse%20toolkit%20(2ed.,%20Wiley,%202002)(ISBN%200471200247)(449s)_CsDb_.pdf|Kimball, R and Ross, M. (2013). The Data Warehouse Toolkit, 3rd Edition, Wiley and Sons.]]
-    * [[https://fhnw.zoom.us/rec/share/v8ZVJZTL631OTdb91V_YRfJ-Baj6T6a81nAcr_EKnhxv3YjuSBy5FOAE-GSz6VlS | Recording BI, Peformance Management and Data Warehouse]] (Password on request)
-  * Lecture: "Reporting and Online Analytic Processing"
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-18_reporting_statistics.pdf |BI Tools - Frontend: Reporting and Dashboards}}
-    * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-19_olap.pdf |BI Tools - Frontend: Online Analytic Processing}}
-    * Poster: {{ :didattica:magistrale:kebi:ay_1819:better_reports_poster_by_ibcs.pdf |Better Reports}}
-    * [[https://fhnw.zoom.us/rec/share/_-p8Fp7B9CRLGYnXz0TnfqoDO47aeaa80yQZ_PQMz0vdMSEJnc9CETm9Kv-yILgP | Recording]] (Password on request)
-  * {{ :didattica:magistrale:kebi:ay_2021:ke-repetition.pdf |Repetition Session}}
-    * [[https://fhnw.zoom.us/rec/share/psorKOHc6lpJfNbquU2GB7cvBYnveaa80CEYrKdexB2AG2LEdo7cypIVpjQVKdPS | Recording]] (Password on request)
-*/
 </WRAP>
@@ Line 290: / Line 257: @@
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=0f9fb7fd1a60d92b644aa577f35a93ef | Recording from 17th of May - Conceptual Modeling]]
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=f29bb0bf32ae4160231d6f1927dfec7f | Recording from 25th of May - Ontology-based Modeling]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=01d9098fc66ab7e7f592cc180585db1a | Recording from 31st of May - Machine Learning]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=9671721299574c2ee862f4fca5ed626a | Recording from 1st of June - Machine Learning, Knowledge Engineering, CBR]]
@@ Line 299: / Line 268: @@
 **Exam Dates A.Y. 2020/2021**
-  * 8th of June, 10:30 - 12:00
+  * 8th of June, 10:30 - 12:00, room LB1 del Polo Lodovici edificio B
-  * 6th of July, 10:30 - 12:00
+  * 6th of July, 10:30 - 12:00, room LB1 del Polo Lodovici edificio B
+  * 27th of September, 10:30 - 12:00, room "G" in the Department of Physics
 /*