{"id":"https://openalex.org/W3112274746","doi":"https://doi.org/10.1109/fie44824.2020.9274204","title":"Teaching Practical Machine Learning Concepts to Professionals and Students: An Integrated and Interdisciplinary Qualification Project","display_name":"Teaching Practical Machine Learning Concepts to Professionals and Students: An Integrated and Interdisciplinary Qualification Project","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3112274746","doi":"https://doi.org/10.1109/fie44824.2020.9274204","mag":"3112274746"},"language":"en","primary_location":{"id":"doi:10.1109/fie44824.2020.9274204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie44824.2020.9274204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040307321","display_name":"Tobias Hagen","orcid":"https://orcid.org/0000-0003-3717-7929"},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Hagen","raw_affiliation_strings":["Business and Industrial Engineering, Offenburg University of Applied Sciences, Offenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Business and Industrial Engineering, Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110309101","display_name":"Tobias Lauer","orcid":null},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Lauer","raw_affiliation_strings":["Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008750525","display_name":"Volker S\u00e4nger","orcid":"https://orcid.org/0009-0008-2699-0694"},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Sanger","raw_affiliation_strings":["Media and Information, Offenburg University of Applied Sciences, Offenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Media and Information, Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038557432","display_name":"Klaus Dorer","orcid":null},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dorer","raw_affiliation_strings":["Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070766294","display_name":"Stephan Trahasch","orcid":null},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Trahasch","raw_affiliation_strings":["Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Medical Engineering and Computer Science, Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040307321"],"corresponding_institution_ids":["https://openalex.org/I913140155"],"apc_list":null,"apc_paid":null,"fwci":0.2542,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64374512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11283","display_name":"Experimental Learning in Engineering","score":0.9312999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6583625674247742},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.561659574508667},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.512295126914978},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.501793622970581},{"id":"https://openalex.org/keywords/job-market","display_name":"Job market","score":0.49020177125930786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46286046504974365},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42818740010261536},{"id":"https://openalex.org/keywords/engineering-management","display_name":"Engineering management","score":0.3488730192184448},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.34334325790405273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2750030755996704},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2719265818595886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24971964955329895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17521628737449646},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.13567030429840088},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.10907205939292908}],"concepts":[{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6583625674247742},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.561659574508667},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.512295126914978},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.501793622970581},{"id":"https://openalex.org/C2985000018","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Job market","level":3,"score":0.49020177125930786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46286046504974365},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42818740010261536},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.3488730192184448},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34334325790405273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2750030755996704},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2719265818595886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24971964955329895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17521628737449646},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.13567030429840088},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.10907205939292908},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fie44824.2020.9274204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie44824.2020.9274204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.hs-offenburg.de:4385","is_oa":false,"landing_page_url":"https://opus.hs-offenburg.de/frontdoor/index/index/docId/4385","pdf_url":null,"source":{"id":"https://openalex.org/S4377196587","display_name":"Opus-HSO (Offenburg University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913140155","host_organization_name":"Offenburg University of Applied Sciences","host_organization_lineage":["https://openalex.org/I913140155"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2070414677","https://openalex.org/W2132324096","https://openalex.org/W2143179185","https://openalex.org/W2402144811","https://openalex.org/W2472803348","https://openalex.org/W2891126713","https://openalex.org/W2910908867","https://openalex.org/W2915975654","https://openalex.org/W2922249865","https://openalex.org/W2953384591","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"has":[3],"become":[4],"highly":[5,24],"relevant":[6,35],"in":[7,14,29,89,96,107,138,147,194,208,223,242,281,304,396,495],"applications":[8],"across":[9],"all":[10],"industries,":[11],"and":[12,33,60,76,109,178,268,276,288,318,374,384,431,440],"specialists":[13,75],"the":[15,34,47,56,70,86,112,144,243,249,255,300,332,336,339,356,372,387,397,414,421,436,449,454,460,482],"field":[16],"are":[17,39,120,220],"sought":[18],"urgently.":[19],"As":[20],"it":[21],"is":[22,131,213],"a":[23,164,199,203,305,378,486],"interdisciplinary":[25],"field,":[26],"requiring":[27],"knowledge":[28],"computer":[30],"science,":[31],"statistics":[32],"application":[36],"domain,":[37],"experts":[38],"hard":[40],"to":[41,84,142,160,182,296,313,335,346,353,401,492],"find.":[42],"Large":[43],"corporations":[44],"can":[45],"sweep":[46],"job":[48],"market":[49],"by":[50,186,215,328,377,411,478],"offering":[51],"high":[52],"salaries,":[53],"which":[54,219],"makes":[55],"situation":[57],"for":[58,73,77,176,321,386,468],"small":[59],"medium":[61],"enterprises":[62],"(SME)":[63],"even":[64],"worse,":[65],"as":[66,101,103,125,233,235,261,427,429,451,453],"they":[67,309,351,399],"usually":[68,132],"lack":[69],"capacities":[71],"both":[72,382,434],"attracting":[74],"qualifying":[78,171],"their":[79,224,425],"own":[80],"personnel.":[81],"In":[82,271,417,433],"order":[83],"meet":[85],"enormous":[87],"demand":[88],"ML":[90,95,158,181,366],"specialists,":[91],"universities":[92],"now":[93],"teach":[94],"specifically":[97],"designed":[98],"degree":[99,168],"programs":[100,106,232],"well":[102,234,428,452],"within":[104,198],"established":[105],"science":[108],"engineering.":[110],"While":[111],"teaching":[113,156,415],"almost":[114],"always":[115],"uses":[116],"practical":[117,365],"examples,":[118],"these":[119],"somewhat":[121],"artificial":[122],"or":[123],"outdated,":[124],"real":[126,129],"data":[127,263],"from":[128,163,174,229,238],"companies":[130,343],"not":[133],"available.":[134],"The":[135,189,211,245,360,392],"approach":[136],"reported":[137,423],"this":[139,272],"contribution":[140],"aims":[141],"tackle":[143],"above":[145],"challenges":[146,430],"an":[148],"integrated":[149],"course,":[150],"combining":[151],"three":[152],"independent":[153],"aspects:":[154],"first,":[155],"key":[157],"concepts":[159,257],"graduate":[161,231],"students":[162,228,383],"variety":[165],"of":[166,205,218,248,254,258,338,358,364,371,381,389,413,472,488],"existing":[167],"programs;":[169],"second,":[170],"working":[172,236,277],"professionals":[173,237,278,301,385],"SME":[175,216,240],"ML;":[177],"third,":[179],"applying":[180,331],"real-world":[183,348],"problems":[184,349,373],"faced":[185,477],"those":[187],"SME.":[188],"course":[190,250,437],"was":[191,438,462,485],"carried":[192,444],"out":[193],"two":[195],"trial":[196],"periods":[197],"government-funded":[200],"project":[201],"at":[202],"university":[204],"applied":[206],"sciences":[207],"south-west":[209],"Germany.":[210],"region":[212],"dominated":[214,327],"many":[217],"world":[221],"leaders":[222],"industries.":[225],"Participants":[226],"were":[227,279,292,310,326,344,394,443],"different":[230],"several":[239,418,479],"based":[241],"region.":[244],"first":[246],"phase":[247,362,484],"(one":[251],"semester)":[252],"consists":[253],"fundamental":[256],"ML,":[259],"such":[260],"exploratory":[262],"analysis,":[264],"regression,":[265],"classification,":[266],"clustering,":[267],"deep":[269],"learning.":[270],"phase,":[273,341],"student":[274,489],"participants":[275,466],"taught":[280],"separate":[282],"tracks.":[283],"Students":[284],"attended":[285],"regular":[286],"classes":[287],"lab":[289,329],"sessions":[290,325],"(but":[291],"also":[293,409],"given":[294,311],"access":[295,312],"e-learning":[297,314],"materials),":[298],"whereas":[299],"learned":[302],"exclusively":[303],"flipped":[306],"classroom":[307],"scenario:":[308],"units":[315],"(video":[316],"lectures":[317],"accompanying":[319],"quizzes)":[320],"preparation,":[322],"while":[323,459],"face-to-face":[324,406],"experiments":[330],"concepts.":[333,474],"Prior":[334],"start":[337],"second":[340,361,483],"participating":[342],"invited":[345],"submit":[347],"that":[350],"wanted":[352],"solve":[354],"with":[355],"help":[357],"ML.":[359],"consisted":[363],"projects,":[367],"each":[368],"tackling":[369],"one":[370,390,412],"worked":[375],"on":[376,424,448],"mixed":[379],"team":[380],"period":[388],"semester.":[391],"teams":[393,422,480],"self-organized":[395],"ways":[398],"preferred":[400],"work":[402],"(e.g.":[403],"remote":[404],"vs.":[405],"collaboration),":[407],"but":[408],"coached":[410],"staff.":[416],"plenary":[419],"meetings,":[420],"status":[426],"solutions.":[432],"periods,":[435],"monitored":[439],"extensive":[441],"surveys":[442],"out.":[445],"We":[446],"report":[447],"findings":[450],"lessons":[455],"learned.":[456],"For":[457],"instance,":[458],"program":[461],"very":[463],"well-received,":[464],"professional":[465],"wished":[467],"more":[469],"detailed":[470],"coverage":[471],"theoretical":[473],"A":[475],"challenge":[476],"during":[481],"dropout":[487],"members":[490],"due":[491],"upcoming":[493],"exams":[494],"other":[496],"subjects.":[497]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
