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- | ====== Knowledge Engineering ====== | ||
- | ---- | ||
- | ===== News ===== | ||
- | <WRAP box round 95% center> | ||
- | === Dear students, === | ||
- | |||
- | Please [[https://www.adoxx.org/live/download-15 | download and install the ADOxx software]] for the next lecture | ||
- | |||
- | Best regards, | ||
- | Knut | ||
- | |||
- | ----- | ||
- | |||
- | Welcome to the lecture in Knowledge Engineering! | ||
- | |||
- | We are happy that you plan to participate in our amazing module. However, we would be happy to know who you are. :-) Therefore, please fill the following google with your name, matriculation number and Unicam e-mail. That would allow us to inform you if something is changed (e.g. lecture needs to be postponed, other conference tool etc) and to register your grade in the system. | ||
- | |||
- | [[https://forms.gle/nxZHWd2wcPt9Mymw7]] | ||
- | |||
- | Best regards, | ||
- | Holger & Knut | ||
- | |||
- | </WRAP> | ||
- | |||
- | |||
- | /* | ||
- | === Dear students, === | ||
- | |||
- | For the lecture on 11th of May 2020 please use this room: [[https://fhnw.zoom.us/j/95153387074]]. | ||
- | |||
- | Best regards, | ||
- | |||
- | Knut Hinkelmann | ||
- | </WRAP> | ||
- | <WRAP box round 95% center> | ||
- | |||
- | === Dear students, === | ||
- | |||
- | Good news: We start definitely on **20th of April at 2pm**. | ||
- | To participate in the lecture, please join us in Zoom. | ||
- | |||
- | The {{ :didattica:magistrale:kebi:ay_2021:orario_2_semestre_19-20_-_kebi-2.pdf |schedule}} is updated. | ||
- | |||
- | Best regards, | ||
- | |||
- | Knut Hinkelmann\\ | ||
- | Holger Wache | ||
- | </WRAP> | ||
- | |||
- | */ | ||
- | |||
- | ---- | ||
- | ===== General Info ===== | ||
- | <WRAP box round 95% center> | ||
- | **Teachers**: | ||
- | * Knut Hinkelmann | ||
- | * Holger Wache | ||
- | |||
- | **Schedule**: | ||
- | |||
- | The lecture dates are as follows: | ||
- | |||
- | |||
- | * 12/4 from 2pm to 6pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | * 13/4 from 9am to 1pm [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | |||
- | * 19/4 from 2pm to 6pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | * 20/4 from 9am to 1pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | |||
- | * 26/4 from 2pm to 6pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | * 27/4 from 9am to 1pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | |||
- | * 10/5 from 2pm to 6pm [[https://unicam.webex.com/meet/holgererik.wache]] | ||
- | * 11/5 from 9am to 1pm <wrap em>**Room LB1**</wrap> and [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | |||
- | * 17/5 from 2pm to 6pm <wrap em>**Room LB1**</wrap> and [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | |||
- | * 25/5 from 9am to 1pm <wrap em>**Room LB1**</wrap> and [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | |||
- | * 31/5 from 2pm to 6pm <wrap em>**Room LB1**</wrap> and [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | * 01/6 from 9am to 1pm <wrap em>**Room LB1**</wrap> and [[https://unicam.webex.com/meet/knut.hinkelmann]] | ||
- | |||
- | /* {{:didattica:magistrale:kebi:ay_2021:orario_2_semestre_19-20_-_kebi-2.pdf |Knowledge Engineering and Business Intelligence}} */ | ||
- | |||
- | **ESSE3 Link** | ||
- | * /* [[https://didattica.unicam.it/Guide/PaginaADErogata.do?ad_er_id=2018*N0*N0*S2*12329*8709&ANNO_ACCADEMICO=2019&mostra_percorsi=S|Knowledge Engineering and Business Intelligence - AY 2019/2020]] */ | ||
- | |||
- | </WRAP> | ||
- | ---- | ||
- | ===== Course Objectives ===== | ||
- | |||
- | <WRAP box round 95% center> | ||
- | == Supporting Knowledge-Intensive Processes == | ||
- | |||
- | Knowledge-intensive processes are more unstructured processes with a lot of involvements of users with their experience. Supporting such processes at their levels requires modelling and enacting several different forms of knowledge. In general more explicit represented knowledge allows better support. But different forms of knowledge need different intuitive and adequate representations and inferences. | ||
- | |||
- | There are several moethods to formally represent knowledge. Graphical models can be an intuitive means to add knowledge into knowledge-based systems. Instead of manually creating knowledge bases, knowledge can also be learned from data. We distinguish between symbolic learning (learning decision trees andss case-based reasoning) and sub-symbolic learning (neural networks) | ||
- | |||
- | After completion of this module, the participants will be able to assess which kind of knowledge representation and reasoning is adequate and are able to develop appropriate knowledge-based systems. They can value the advantages of knowledge-based systems with respect to their costs and apply several methods to create knowledge bases. | ||
- | </WRAP> | ||
- | |||
- | ---- | ||
- | ===== Course Contents ===== | ||
- | |||
- | <WRAP round 95% center box> | ||
- | * Introduction: Knowledge in processes | ||
- | * Decision Tables | ||
- | * Rules | ||
- | * Textual represented rule (i.e. Horn clauses) | ||
- | * Forward and backward chaining | ||
- | * Data-driven and Goal-oriented | ||
- | * Negation-as-failure | ||
- | * Object-centred Systems | ||
- | * F-Logic/Objectlogic | ||
- | * Fuzzy Logic | ||
- | * Human-interpretation vs. machine-interpretation | ||
- | * Graphical modeling | ||
- | * Ontology-based modeling | ||
- | * Machine Learning: Learning Decision Trees | ||
- | * Case-Based Reasoning | ||
- | * Neuronal Networks | ||
- | </WRAP> | ||
- | ---- | ||
- | |||
- | ===== Study material ===== | ||
- | |||
- | <WRAP box round center 95%> | ||
- | |||
- | **Course Material** | ||
- | * {{ :didattica:magistrale:kebi:ay_2021:ke-0-organization.pdf |Organisation}} | ||
- | |||
- | * Lecture "Introduction" | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-1-introduction.pdf |Introduction}} | ||
- | * {{ :didattica:magistrale:kebi:ay_2021: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.}} | ||
- | * Exercise/Homework: {{ :didattica:magistrale:kebi:ay_2021:exercise_knowledge_types_for_admission.pdf |Types of Knowledge}} | ||
- | |||
- | * Lecture "Knowledge in Processes" | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-2_knowledge_and_processes.pdf |Decision-Aware Business Processes}} | ||
- | /* * Example: {{ :didattica:magistrale:kebi:ay_2021:example_decision-aware_process_modeling.pdf |Decision-Aware Business Process | ||
- | }} */ | ||
- | |||
- | * Lecture "Decision Tables" | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-3-decisontables.pdf |Decision Tables - DMN}} | ||
- | * Example: {{ :didattica:magistrale:kebi:ay_2021:booking_price_calculation.zip |Price Calculation for Room Booking}} | ||
- | * Reading: [[http://blog.maxconsilium.com/2014/09/introduction-to-decision-model-notation.html|Introduction into DMN]] | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:exercise_decision_table_reduction.pdf |Reduction of Decision Tables}}, {{ :didattica:magistrale:kebi:ay_2021:dmn_decision_table_reimbursement.xlsx |Sample Table}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:exercise_decision_modeling_admission.pdf |Decision Modeling for Admission}} | ||
- | /* | ||
- | * Exercise and Solution: {{ :didattica:magistrale:kebi:ay_2021:exercise_decision_modeling_admission_with_solution.pdf |Decision Modelling for Admission}}, {{ :didattica:magistrale:kebi:ay_2021:eligibility_decision_table.zip |DMN file of the decision table}} | ||
- | */ | ||
- | * Tools: | ||
- | * Download: [[https://camunda.com/download/modeler/|Camunda Workflow and Decision Modeler]] | ||
- | * Online: [[https://camunda.com/dmn/simulator/|Camunda Decision Simulator]] | ||
- | |||
- | * Lecture “Rule-based Systems” | ||
- | * Whiteboard: [[https://drive.google.com/drive/folders/10-IMhx-3CnDdNI35S1OYOOAMReON3yZk?usp=sharing | Holger's Whiteboard]] | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-4-logic_programming.pdf |Rule-based Systems}} | ||
- | * Reasoning example: {{ :didattica:magistrale:kebi:ay_2021:ke-4-logic_programming-reasoningexample_ancestor.pdf |ancestor}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-4-1-exercise_university.pdf |University}} and Solution | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-4-2-exercise_family_rules.pdf |Family}} and {{ :didattica:magistrale:kebi:ay_2021:ke-4-2-exercise_family_rules_solution.pdf |Solution}} | ||
- | * Exercise: Further {{ :didattica:magistrale:kebi:ay_2021:ke-4-3-exercise_smallexamples.pdf |small examples}} and {{ :didattica:magistrale:kebi:ay_2021:ke-4-3-exercise_smallexamples_solution.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-4-5-exercise_minisudoku.pdf |Mini Sudoku}} and {{ :didattica:magistrale:kebi:ay_2021:ke-4-5-exercise_minisudoku_solution.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-4-7-exercise_friendship.pdf |Friendship}} and {{ :didattica:magistrale:kebi:ay_2021:ke-4-7-exercise_friendship_solution.pdf |Solution}} | ||
- | * {{ :didattica:magistrale:kebi:ay_2021:ke-4-homeexercise_masterdecisions.pdf |Home Work}} with {{ :didattica:magistrale:kebi:ay_2021:ke-4-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_2021:ke-5_fc_vs_bc.pdf |Forward- and Backward Chaining}} | ||
- | |||
- | * Lecture “Fuzzy logic” | ||
- | * Whiteboard: [[https://drive.google.com/drive/folders/10-IMhx-3CnDdNI35S1OYOOAMReON3yZk?usp=sharing | Holger's Whiteboard]] | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-6-fuzzylogic.pdf |Fuzzy Logic}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-6-1-exercise_define_fuzzy_set.pdf |Fuzzy Sets}} and {{ :didattica:magistrale:kebi:ay_2021:ke-6-1-exercise_define_fuzzy_set_solution.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-6-2-exercise_fuzzy_set_operations.pdf |Fuzzy Set Operations}} and {{ :didattica:magistrale:kebi:ay_2021:ke-6-2-exercise_fuzzy_set_operations_solution.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-6-3-credit_analysis.pdf |Credit Analysis}} | ||
- | * {{ :didattica:magistrale:kebi:ay_2021:ke-6-homeexercise_masterdecisions.pdf |Home Work}} and {{ :didattica:magistrale:kebi:ay_2021:ke-6-homeexercise_masterdecisions_solution.pdf | Solution}} | ||
- | | ||
- | |||
- | |||
- | * Lecture “Knowledge Nets and RDF” | ||
- | * Whiteboard: [[https://drive.google.com/drive/folders/10-IMhx-3CnDdNI35S1OYOOAMReON3yZk?usp=sharing | Holger's Whiteboard]] | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-7-rdf_knowledgenets.pdf |Knowledge Nets and RDF}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-7-1-exercise-rdf-graph.pdf |RDF Graphs}} and {{ :didattica:magistrale:kebi:ay_2021:ke-7-1-exercise-rdf-graph_SOLUTION.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-7-2-exercise-rdf-schema.pdf |RDF Schema}} and {{ :didattica:magistrale:kebi:ay_2021:ke-7-2-exercise-rdf-schema_SOLUTION.pdf |Solution}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:ke-7-3-exercise-rdfs-inferences.pdf |RDF Schema Inferences}} and {{ :didattica:magistrale:kebi:ay_2021:ke-7-3-exercise-rdfs-inferences_SOLUTION.pdf |Solution}} | ||
- | |||
- | |||
- | * Lecture “Ontology Engineering” | ||
- | * Slides:{{ :didattica:magistrale:kebi:ay_2021:ke-8_ontology_engineering.pdf | Ontology Engineering}} | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-8-2_ontologies_and_rules.pdf |Ontologies and Rules}} | ||
- | * Example: {{ :didattica:magistrale:kebi:ay_2021:ke2021.zip |Ontology for university teaching to open in Protege}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_2021:exercise_-_business_process_ontology_-_preliminary.pdf |Business Process Ontology - preliminary version from 11 May 2021}} | ||
- | * {{ :didattica:magistrale:kebi:ay_2021:2021-05-11_bpm.zip |University and Business Process Ontologies to open in Protege (preliminary version from 11 May 2021)}} | ||
- | /* * Exercise: {{ :didattica:magistrale:kebi:ay_2021:exercise_-_business_process_ontology.pdf |Business Process Ontology}} | ||
- | * {{ :didattica:magistrale:kebi:ay_2021:process_and_university_ontology.zip |University and Business Process Ontologies to open in Protege}} */ | ||
- | * Literature: Noy, N. F., & McGuinness, D. L. (2001). [[http://protege.stanford.edu/publications/ontology_development/ontology101.pdf | Ontology development 101: A guide to creating your first ontology.]] Stanford Knowledge Systems Laboratory Technical Report KSL-01-05. | ||
- | * Download: [[https://protege.stanford.edu/ |Protege: Desktop Version (Platform independent or Windows)]] | ||
- | |||
- | * Lecture “Conceptual Modelling” | ||
- | * Slides: {{ :didattica:magistrale:kebi:ay_2021:ke-9_conceptual_modelling.pdf |Conceptual Modelling}} | ||
- | * Download: [[https://www.adoxx.org/live/download-15 |ADOxx Model Engineering Environment]] | ||
- | |||
- | |||
- | * 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.]] | ||
- | /* | ||
- | |||
- | |||
- | * Lecture "Symbolic 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-11-2_symbolic_learning_-_learning_decision_trees.pdf |Learning Rules}} | ||
- | * 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}} | ||
- | * Exercise: {{ :didattica:magistrale:kebi:ay_1819:exercise_health_insurance_learning.pdf |Health Insurance: Learning Risk Assessment}} | ||
- | * 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}} | ||
- | * 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_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering (incl solution)}} | ||
- | * [[https://fhnw.zoom.us/rec/share/zJUkPrLu1khOSYGcwU_harEsRZr9T6a8gXIY_PJcmRsP1giTRCs0iUce7kGkx0OR | Recording]] (password on request) | ||
- | |||
- | * 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}} | ||
- | * 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> | ||
- | ---- | ||
- | ===== Recordings ===== | ||
- | <WRAP box round center 95%> | ||
- | Recordings of the lectures are password protected (passwords on request from the lecturers) | ||
- | |||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=fac19d05428a2d3e38cce026a08bc253 | Recording from 12th of April - Introduction]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=6928b0b2e6212f805e11c64b8ed67dd5 | Recording from 13th of April - Knowledge in Processes, Decision Modeling]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=1891ce65f3a8625d3d893a0953a3d452 | Recording from 19th of April - Representing Knowledge in Rules]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=c1625571dcf8bb1381231b763364fce6 | Recording from 20th of April - Recursion, Inference Procedure, Negation]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=55636bfd3e2b18a77fed6267f77bdc8a | Recording from 26th of April - Fuzzy Set and Fuzzy Theory]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=f4b6ef67c6180a2505fab21fc8f326f8 | Recording from 27th of April - Fuzzy Logic and Fuzzy Logic Controller]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=4227c7fee23cca112c931a886a62e3ec | Recording from 11th of May - Ontology Engineering]] | ||
- | * [[https://unicam.webex.com/unicam/ldr.php?RCID=0f9fb7fd1a60d92b644aa577f35a93ef | Recording from 17th of May - Conceptual Modeling]] | ||
- | |||
- | |||
- | |||
- | </WRAP> | ||
- | ---- | ||
- | ===== Exams ===== | ||
- | <WRAP box round center 95%> | ||
- | **Exam Dates A.Y. 2020/2021** | ||
- | |||
- | * 7th of June | ||
- | * 8th of June | ||
- | |||
- | /* | ||
- | * [[https://docs.google.com/spreadsheets/d/1DAifL0KXWsyr-rwhFDISwb2RKcNn21TBptM1Kqz2Nlo/edit?usp=sharing | You can choose a date from the schedule]] | ||
- | |||
- | **Exam rules**: | ||
- | */ | ||
- | |||
- | </WRAP> |