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--- didattica:magistrale:kebi:ay_1617:main [2017/03/20 10:34]
knut [News]
+++ didattica:magistrale:kebi:ay_1617:main [2020/09/17 16:55] (current)
@@ Line 2: / Line 2: @@
 ----
 ===== News =====
-<WRAP center round important 95%>
+<WRAP center round 95%>
-  * Lectures start on <wrap em>**20th of March 2017**</wrap>
+  * Decision Tables taught
+  * Rules (Prolog) taught
+  * ObjectLogic taught
+  * Fuzzy Logic - we still are enjoying :-)
 </WRAP>
@@ Line 13: / Line 16: @@
   * [[http://web.fhnw.ch/personenseiten/holger.wache/|Prof. Dr. Holger Wache]]
-**Lessons schedule**:
+**Lectures**:
-  * {{ :didattica:magistrale:kebi:ay_1617:orario_2_semestre_16-17_-_kebi.pdf |pdf format}}
+  * {{ :didattica:magistrale:kebi:ay_1617:orario_2_semestre_16-17_-_kebi.pdf |Schedule}}
 **Students Office hours**:
   * via e-mail
@@ Line 57: / Line 60: @@
   * Lecture "Introduction"
     * Slides: {{:didattica:magistrale:kebi:ay_1617:ke-1-introduction_knowledge_in_processes.pdf |Introduction}}
+    * {{ :didattica:magistrale:kebi:ay_1617:davenport_2010_process_management_for_knowledge_work.pdf |Davenport, T. H. (2010). Process Management for Knowledge Work. In J. vom Brocke & M. Rosemann (Eds.), Handbook on Business Process Management 1 (pp. 17–36). Berlin, Heidelberg: Springer.}}
   * Lecture "Decision Tables"
@@ Line 62: / Line 66: @@
     * Download: [[https://camunda.org/|Camunda Workflow and Decision Modeler]]
     * Template: {{:didattica:magistrale:kebi:ay_1617:dmn_decision_table_template.xlsx |Decision Table (Excel)}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:exercise_decision_modeling_admission.pdf |Decision Modeling for the Admission Process}}
+    * Reading: [[http://blog.maxconsilium.com/2014/09/introduction-to-decision-model-notation.html|Introduction  into DMN]]
+  * Lecture “Rule-based Systems”
+    * Slides: {{:didattica:magistrale:kebi:ay_1617:ke-3-logic_programming.pdf |Rule-based Systems}}
+    * Reasoning example: {{:didattica:magistrale:kebi:ay_1617:ke-3-homeexercise_masterdecisions.pdf |ancestor}}
+    * Exercise: {{:didattica:magistrale:kebi:ay_1617:ke-3-1-exercise_family_rules.pdf |Family}} and {{ :didattica:magistrale:kebi:ay_1617:ke-3-1-exercise_family_rules_solution.pdf |Solution}}
+    * Exercise: {{:didattica:magistrale:kebi:ay_1617:ke-3-2-exercise_minisudoku.pdf |Mini Sudoku}} and {{ :didattica:magistrale:kebi:ay_1617:ke-3-2-exercise_minisudoku_solution.pdf |Solution}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-3-3-exercise_smallexamples.pdf |Small Examples}} and {{ :didattica:magistrale:kebi:ay_1617:ke-3-3-exercise_smallexamples_solution.pdf |Solution}}
+    * {{:didattica:magistrale:kebi:ay_1617:ke-3-homeexercise_masterdecisions.pdf |Home Work}} with {{ :didattica:magistrale:kebi:ay_1617:ke-3-homeexercise_masterdecisions_solution.pdf |Solution}}
+    * Nice browser-based [[http://swish.swi-prolog.org|Prolog Engine]]
+  * Lecture “Forward- and Backward Chaining”
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-4_fc_vs_bc.pdf |Forward- and Backward Chaining}}
+  * Lecture “Objectlogic”
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-5-objectlogic.pdf |Objectlogic}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-5-1-exercise_objectlogic_at.pdf |Family}} and {{ :didattica:magistrale:kebi:ay_1617:ke-5-1-exercise_objectlogic_at_solution.pdf |Solution}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-5-2-exercise_objectlogic.pdf |ObjectLogic vs Prolog}} and {{ :didattica:magistrale:kebi:ay_1617:ke-5-2-exercise_objectlogic-solution.pdf |Solution}}
+    * {{ :didattica:magistrale:kebi:ay_1617:ke-5-homeexercise_masterdecisions.pdf |Homework}}
+  * Lecture “Fuzzy logic”
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-6-fuzzylogic.pdf |Fuzzy Logic}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-6-1-exercise_define_fuzzy_set.pdf |Fuzzy Sets}} and {{ :didattica:magistrale:kebi:ay_1617:ke-6-1-exercise_define_fuzzy_set_solution.pdf |Solution}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-6-2-exercise_fuzzy_set_operations.pdf |Fuzzy Set Operations}} and {{ :didattica:magistrale:kebi:ay_1617:ke-6-2-exercise_fuzzy_set_operations_solution.pdf |Solution}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:ke-6-3-credit_analysis.pdf |Credit Analysis}}
+  * Lecture "Machine Learning: Learning Decision Trees"
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-7_learning_decision_trees.pdf |Learning Decision Trees}}
+    * Reading Material: {{ :didattica:magistrale:kebi:ay_1617:ke-7-paper_decisiontree.pdf |Decision Tree Learning}}
+    * Example: {{ :didattica:magistrale:kebi:ay_1617:ke-7_example_id3.pdf |Playing Tennis}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:exercise_learning_carsales.pdf |Auto Traders}}
+    * Exercise: {{ :didattica:magistrale:kebi:ay_1617:exercise_health_insurance.pdf |Learning for Health Insurance Applications}}
+    * Tool: {{ :didattica:magistrale:kebi:ay_1617:weka_introduction.pdf |WEKA Learning Environment}}
+    * Datasets: {{ :didattica:magistrale:kebi:ay_1617:datasets.zip |playing tennis, creditworthyness (CSV Files) and Health Insurance (ARFF and Excel file)}}
+  * Lecture "Case-Based Reasoning"
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-08-cbr.pdf |Case-Based Reasoning}}
+  * Lecture "Business Intelligence and Data Warehouse"
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-09-business_intelligence_dwh.pdf |Business Intelligence and Data Warehouse}}
+  * Lecture "Reporting and Data Analysis"
+    * Slides: {{ :didattica:magistrale:kebi:ay_1617:ke-10-bi_reporting_and_analysis.pdf |Reporting and Data Analysis}}
-</WRAP>
-----
-===== Course Assignment =====
-<WRAP box round center 95%>
 </WRAP>
@@ Line 75: / Line 117: @@
 ===== Exams =====
 <WRAP box round center 95%>
-**Exam Dates A.Y. 2016/2017**
+**Exam Dates A.Y. 2017/2018**
-  * tbd
+  * Thursday, 25.05.2017, 15:00, room AB2
+  * Wednesday, 14.06.2017, 14:00, room AB2
+  * Wednesday, 05.07.2017, 11:30, room AB2
+  * Wednesday, 19.07.2017, 11:30, room AB2
+  * Wednesday, 20.09.2017, 11:30, room AB2
 **Exam rules**:
 </WRAP>