SlideShare una empresa de Scribd logo
1 de 47
Descargar para leer sin conexión
Zur Produktion und Reproduktion
studentischer Zeit-Raum-Verhältnisse in der
Studieneingangsphase
H E T E R O G E N I T Ä T
I N B E W E G U N G
Fabian Mundt, M.A.
Institut für Allgemeine und Historische Erziehungswissenschaft・graph Zukunftsforum・ 25.11.2016
»Vielen großen Studien über Studierende in der
Bundesrepublik Deutschland fehlt der differenzierende
Blick auf die fachkulturellen Spezifika und die
Heterogenität der Studierendenschaft […]«
Friebertshäuser, B. (2013): Denken, Forschen, Verstehen mit Bourdieu. Beltz Juventa. S. 256.
»As much as the central questions in higher education
focus on student enrollment in programmes, student
retention, progression and success, and graduate fitness
for work, the actual students tends to be absent in
much of this rhetoric and even in the scholarly
literature.«
Case, J. M. (2013): Researching Student Learning in Higher Education. Routledge. S. 3.
©	http://bit.ly/1jfHDVy
Die studentische Alltagspraxis
als Ausgangspunkt.
Die studentischen Zeit-Raum Verhältnisse
als Ausgangspunkt.
Zeit-Raum Verhältnisse
©	http://bit.ly/1jfHDVy
?Zeit-Raum-Verhältnisse
(vgl. Adam 2005; Löw 2001; Rosa 2005; Schroer 2005)
werden
sozial (re)produziert.
Zeit-Raum-Verhältnisse
»[D]as Wirkliche ist relational: Was in der sozialen Welt
existiert, sind Relationen – nicht Interaktionen oder
intersubjektive Beziehungen zwischen Akteuren,
sondern objektive Relationen, die ›unabhängig vom
Bewußtsein und Willen der Individuen‹ bestehen […]«
Bourdieu, P. & Wacquant, L. (1996): Reflexive Anthropologie. Suhrkamp. S. 126f.
subjektiv objektivZeit-Raum-Verhältnisse
quantitativ
qualitativ
F o r s c h u n g s s t r a t e g i e
Soziale Topologie
Interviews
Orte Chronologien
?Soziale Topologie
(vgl. Benzécri 1992; Bourdieu 1979; Günzel 2007; Le Roux 2014; Pagès 2015)
O b j e k t i v e Z e i t - R a u m - V e r h ä l t n i s s e
E r h e b u n g s s i t u a t i o n
1. Semester 2. Semester 3. Semester
325 (68%) 231 (48%) 211 (44%)*
* Erhebung noch nicht abgeschlossen.
Stichproben BA Jahrgang Wintersemester 2015/16
E r h e b u n g s s i t u a t i o n
Biografischer
Hintergrund
‣ Persönliche

Angaben
‣ Eltern
‣ Kindheit und 

Jugend
‣ Schulzeit
Übergang
Schule – Hochschule
‣ Tätigkeiten vor 

Studienbeginn
‣ Studienwahlmotive
‣ Studienwahl
Studienalltag
‣ Persönliche 

Situation
‣ Gewöhnliche

Studienwoche
‣ Alltägliche

Studienaktivitäten
‣ Alltägliche

Freizeitaktivitäten
»Studierende«
weiblich männlich
260 (80%)
65 (20%)
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
Geometrische Datenanalyse
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
●
Achse2(16,28%)
Aktivität
Passivität
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
Aktivitätsachse
PassivitätAktivität
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
●
●
●
●
●
●
●
Entfernung
●
●
●●
●
Achse 1 (34, 27%)Nähe
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
Distanzachse
Nähe
Entfernung
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
Achse 1 (34, 27%)
Achse2(16,28%)
nah
fern
aktiv passiv
Achse 1 (34, 27%)
Achse2(16,28%)
Achse 1 (34, 27%)
Achse2(16,28%)
Achse 1 (34, 27%)
Achse2(16,28%)
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
● ●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●● ●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
R e s ü m e e
‣ Zweidimensionale soziale Topologie
➡ Aktivitätsdimension
➡ Distanzdimension (Herkunftseffekt)
‣ Homogenisierung der Gesamtgruppe über die
ersten beiden Studiensemester
!
mundt@ph-karlsruhe.de
"
Inventionate
R#
TimeSpaceAnalysis
Institut für Allgemeine und Historische Erziehungswissenschaft・graph Zukunftsforum・ 25.11.2016
factoextra | FactoMineRhttp://zrs.ph-karlsruhe.de
?Orte Chronologien
&
Interviews
S u b j e k t i v e Z e i t - R a u m - V e r h ä l t n i s s e
Zeitmuster Personen 42373 und 45675
Zeitmuster Personen 42373 und 45675
(vgl. Hägerstrand 1975; Giddens 1984; Manovich 2015)

Más contenido relacionado

Destacado (8)

11
1111
11
 
12
1212
12
 
Juran’s Trilogy
Juran’s TrilogyJuran’s Trilogy
Juran’s Trilogy
 
20160923 expocición sobre organigramas
20160923 expocición sobre organigramas20160923 expocición sobre organigramas
20160923 expocición sobre organigramas
 
Electric motor
Electric motorElectric motor
Electric motor
 
Dc motor
Dc motor Dc motor
Dc motor
 
Deming’s 14 Points for Management
Deming’s 14 Points for ManagementDeming’s 14 Points for Management
Deming’s 14 Points for Management
 
海洋調査用ブイの水深制御のためのPID制御パラメータの求め方
海洋調査用ブイの水深制御のためのPID制御パラメータの求め方海洋調査用ブイの水深制御のためのPID制御パラメータの求め方
海洋調査用ブイの水深制御のためのPID制御パラメータの求め方
 

Más de Fabian Mundt

Blended learning revisited
Blended learning revisitedBlended learning revisited
Blended learning revisited
Fabian Mundt
 
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungene:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
Fabian Mundt
 

Más de Fabian Mundt (9)

Das e:t:p:M-Konzept mit Blick auf den Einsatz in der wissenschaftlichen Weite...
Das e:t:p:M-Konzept mit Blick auf den Einsatz in der wissenschaftlichen Weite...Das e:t:p:M-Konzept mit Blick auf den Einsatz in der wissenschaftlichen Weite...
Das e:t:p:M-Konzept mit Blick auf den Einsatz in der wissenschaftlichen Weite...
 
Personalisiertes studieren, reflektiertes lernen
Personalisiertes studieren, reflektiertes lernenPersonalisiertes studieren, reflektiertes lernen
Personalisiertes studieren, reflektiertes lernen
 
Learning Analytics meets Mathematics Teacher Education
Learning Analytics meets Mathematics Teacher EducationLearning Analytics meets Mathematics Teacher Education
Learning Analytics meets Mathematics Teacher Education
 
»Quality Despite Quantity«
»Quality Despite Quantity«»Quality Despite Quantity«
»Quality Despite Quantity«
 
Zeit-Raum Studium: Eine Sozioanalyse über Studierende in der Studieneingangs...
Zeit-Raum Studium: Eine Sozioanalyse über Studierende  in der Studieneingangs...Zeit-Raum Studium: Eine Sozioanalyse über Studierende  in der Studieneingangs...
Zeit-Raum Studium: Eine Sozioanalyse über Studierende in der Studieneingangs...
 
Mobile learning
Mobile learningMobile learning
Mobile learning
 
app@school
app@schoolapp@school
app@school
 
Blended learning revisited
Blended learning revisitedBlended learning revisited
Blended learning revisited
 
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungene:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
e:t:p:M – Ein Blended-Learning-Konzept für Großveranstaltungen
 

Último

GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
Lokesh Kothari
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
PirithiRaju
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Sérgio Sacani
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Sérgio Sacani
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
ssuser79fe74
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
Areesha Ahmad
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptx
AlMamun560346
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
PirithiRaju
 

Último (20)

Site Acceptance Test .
Site Acceptance Test                    .Site Acceptance Test                    .
Site Acceptance Test .
 
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
 
Feature-aligned N-BEATS with Sinkhorn divergence (ICLR '24)
Feature-aligned N-BEATS with Sinkhorn divergence (ICLR '24)Feature-aligned N-BEATS with Sinkhorn divergence (ICLR '24)
Feature-aligned N-BEATS with Sinkhorn divergence (ICLR '24)
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptx
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
 
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
 
CELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdfCELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdf
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
 

Heterogenität in Bewegung