Data Science / Master of Science

Profilübergreifende Pflichtmodule Cross-profile mandatory modules

Modul 31-SW-StaFo Forschung in der Statistik

Module 31-SW-StaFo Topics in Contemporary Statistics

Forschungskolloquium (Ko)

Research Colloquium (Ko)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
316103	Bauer, Fuchs, Langrock, Reinecke	Kolloquium "Zentrum für Statistik" Die Veranstaltung soll VOR ORT und/oder im ONLINE-Format stattfinden. Sie findet 14-täglich statt. Aktuelle Informationen zur Veranstaltung und zum Veranstaltungsort finden Sie unter: http://www.uni-bielefeld.de/zest_kolloquium	Ko	Di 12-13 (14-täglich) in W9-109 [11.04.-15.07.2022]Tue 12-13 (every two weeks) in W9-109 [11.04.-15.07.2022]

Reading Course (S)

Reading Course (S)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
314004	Yaqine	Reading Course "Statistische Wissenschaften" eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	S	Di 14-16 ONLINE [04.04.-15.07.2022]Tue 14-16 ONLINE [04.04.-15.07.2022]

Modul 31-SW-StiP Statistik in der Praxis

Module 31-SW-StiP Statistics in Practice

Statistisches Praktikum (Pr o. Pstu)

Statistisches Praktikum (Pr o. Pstu)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
314008	Bauer, Westerheide	Statistisches Praktikum eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Pr

Statistisches Projekt (Pj)

Statistical Project (Pj)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312846	Römer, Winkelmann	Decision Analytics Project Begrenzte Teilnahmezahl:Limited number of participants: 12	S	Fr 10-12 in X-E0-234 [01.04.2022]Fri 10-12 in X-E0-234 [01.04.2022] ; Do 10-12 in X-E0-215 [04.04.-15.07.2022]Thu 10-12 in X-E0-215 [04.04.-15.07.2022] ; Do 12-14 in H8 [14.07.2022]Thu 12-14 in H8 [14.07.2022]

Modul 31-M-Thesis Master’s Thesis

Module 31-M-Thesis Master’s Thesis

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312412	Römer, Tierney	Masterkolloquium Course taught in English	Ko	N.N. in U9-117 [04.04.-15.07.2022] Einzeltermine, werden noch bekanntgegeben.to be announced in U9-117 [04.04.-15.07.2022] Einzeltermine, werden noch bekanntgegeben.
312932	Fuchs	Seminar zur Masterarbeit (Data Science) / Masterkolloquium eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Ko	Do 10-12 ONLINE [04.-22.04.2022]Thu 10-12 ONLINE [04.-22.04.2022] ; Do 10-12 in W9-109 [25.04.-15.07.2022]Thu 10-12 in W9-109 [25.04.-15.07.2022] ; Mi 11-13 in W9-109 [15.06.2022]Wed 11-13 in W9-109 [15.06.2022]

Profil Variante 1 Profile Variante 1

Modul 39-Inf-BDA_ver1 Big Data Analytics

Module 39-Inf-BDA_ver1 Big Data Analytics

Big Data Analytics (V)

Big Data Analytics (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392157	Schönhuth, Knop	Big Data Analytics	V	Do 10-12 VOR ORT & ONLINE in H2 [04.04.-15.07.2022]Thu 10-12 ON SITE & ONLINE in H2 [04.04.-15.07.2022] ; Do 14-17 in X-E0-001 [14.07.2022] ErstklausurThu 14-17 in X-E0-001 [14.07.2022] Erstklausur ; Do 09-12 in H4 [04.08.2022] ZweitklausurThu 09-12 in H4 [04.08.2022] Zweitklausur
392157	Schönhuth, Knop	Präsenzklausur "Big Data Analytics" - Erstklausur Begrenzte Teilnahmezahl:Limited number of participants: 130 Anmeldung über das eKVV bis zum 13.07.2022 Registration via the electronic course catalogue (eKVV) by 13.07.2022	Kl
392157	Schönhuth, Knop	Präsenzklausur "Big Data Analytics" - Zweitklausur Begrenzte Teilnahmezahl:Limited number of participants: 110 Anmeldung über das eKVV bis zum 27.07.2022 Registration via the electronic course catalogue (eKVV) by 27.07.2022	Kl

Big Data Analytics (Ü)

Big Data Analytics (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392158	Knop, Tutor: Swen Simon	Übungen 1: Big Data Analytics	Ü	Mi 16-18 in U2-147 [04.04.-15.07.2022]Wed 16-18 in U2-147 [04.04.-15.07.2022]
392158	Knop, Tutor: SwenSimon	Übungen 2: Big Data Analytics	Ü	Mi 16-18 in H3 [04.04.-15.07.2022] Tutor: Wed 16-18 in H3 [04.04.-15.07.2022] Tutor:
392158	Knop, Tutor: Harsha Manjunath	Übungen 3: Big Data Analytics	Ü	Do 16-18 in X-E0-228 [04.04.-15.07.2022] Tutor: Thu 16-18 in X-E0-228 [04.04.-15.07.2022] Tutor:

Modul 31-M-ASM1 Advanced Statistical Methods I

Module 31-M-ASM1 Advanced Statistical Methods I

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) (V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311851	Langrock	Advanced Statistical Methods I	MDP
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) (V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (II.) (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311851	Langrock	Advanced Statistical Methods I	MDP
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Modul 31-M-ASM2 Advanced Statistical Methods II

Module 31-M-ASM2 Advanced Statistical Methods II

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) (Pj o. S o. V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (Pj o. S o. V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312409	Römer, Porrmann	Combining OR and Data Science Course taught in English	V	Di 10-12 in C01-230 [05.04.2022]Tue 10-12 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [19.04.2022]Tue 8-12 in W9-109 [19.04.2022] ; Di 8-12 in W9-109 [03.05.2022]Tue 8-12 in W9-109 [03.05.2022] ; Di 8-12 in W9-109 [10.05.2022]Tue 8-12 in W9-109 [10.05.2022] ; Di 8-12 in W9-109 [24.05.2022]Tue 8-12 in W9-109 [24.05.2022] ; Di 8-12 in W9-109 [07.06.2022]Tue 8-12 in W9-109 [07.06.2022] ; Di 8-12 in W9-109 [21.06.2022]Tue 8-12 in W9-109 [21.06.2022] ; Di 8-12 in W9-109 [28.06.2022]Tue 8-12 in W9-109 [28.06.2022]
312415	Hottung, Wetzel, Tierney	Metaheuristics Course taught in English	V	Di 8-10 in C01-230 [05.04.2022]Tue 8-10 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [26.04.2022]Tue 8-12 in W9-109 [26.04.2022] ; Di 8-12 in W9-109 [17.05.2022]Tue 8-12 in W9-109 [17.05.2022] ; Di 8-12 in W9-109 [31.05.2022]Tue 8-12 in W9-109 [31.05.2022] ; Di 8-12 in W9-109 [14.06.2022]Tue 8-12 in W9-109 [14.06.2022] ; Di 8-12 in W9-109 [05.07.2022]Tue 8-12 in W9-109 [05.07.2022]
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]
312520	Hinz, Iodice	Data Science in International Economics Research Die Veranstaltung wird teils in Person (klassische Vorlesung) und teils Online (Anwendungssession) stattfinden. Course taught in English	V	Mi 10-12 in U2-228 [04.04.-15.07.2022]Wed 10-12 in U2-228 [04.04.-15.07.2022] ; Mi 16-18 in U5-133 [04.04.-15.07.2022]Wed 16-18 in U5-133 [04.04.-15.07.2022]

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) (Pj o. S o. V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (Pj o. S o. V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312409	Römer, Porrmann	Combining OR and Data Science Course taught in English	V	Di 10-12 in C01-230 [05.04.2022]Tue 10-12 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [19.04.2022]Tue 8-12 in W9-109 [19.04.2022] ; Di 8-12 in W9-109 [03.05.2022]Tue 8-12 in W9-109 [03.05.2022] ; Di 8-12 in W9-109 [10.05.2022]Tue 8-12 in W9-109 [10.05.2022] ; Di 8-12 in W9-109 [24.05.2022]Tue 8-12 in W9-109 [24.05.2022] ; Di 8-12 in W9-109 [07.06.2022]Tue 8-12 in W9-109 [07.06.2022] ; Di 8-12 in W9-109 [21.06.2022]Tue 8-12 in W9-109 [21.06.2022] ; Di 8-12 in W9-109 [28.06.2022]Tue 8-12 in W9-109 [28.06.2022]
312415	Hottung, Wetzel, Tierney	Metaheuristics Course taught in English	V	Di 8-10 in C01-230 [05.04.2022]Tue 8-10 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [26.04.2022]Tue 8-12 in W9-109 [26.04.2022] ; Di 8-12 in W9-109 [17.05.2022]Tue 8-12 in W9-109 [17.05.2022] ; Di 8-12 in W9-109 [31.05.2022]Tue 8-12 in W9-109 [31.05.2022] ; Di 8-12 in W9-109 [14.06.2022]Tue 8-12 in W9-109 [14.06.2022] ; Di 8-12 in W9-109 [05.07.2022]Tue 8-12 in W9-109 [05.07.2022]
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Modul 39-M-Inf-ADS Auditory Data Science

Module 39-M-Inf-ADS Auditory Data Science

Auditory Data Science (V)

Auditory Data Science (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392137	Hermann	Auditory Data Science Course taught in English	V	Mi 14-16 VOR ORT & ONLINE in Y-1-202 [04.04.-15.07.2022]Wed 14-16 ON SITE & ONLINE in Y-1-202 [04.04.-15.07.2022]

Übung zu Auditory Data Science (Ü)

Übung zu Auditory Data Science (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392138	Hermann	Auditory Data Science Course taught in English	Ü	Di 12-14 (14-täglich) ONLINE [11.04.-15.07.2022]Tue 12-14 (every two weeks) ONLINE [11.04.-15.07.2022]

Modul 39-M-Inf-ASE Autonomous Systems Engineering

Module 39-M-Inf-ASE Autonomous Systems Engineering

Autonomous Systems Engineering (V)

Autonomous Systems Engineering (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392125	Rückert	Autonomous Systems Engineering	V	Di 14-16 in CITEC 1.016 [04.04.-15.07.2022]Tue 14-16 in CITEC 1.016 [04.04.-15.07.2022]

Autonomous Systems Engineering (Ü)

Autonomous Systems Engineering (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392126	Klarhorst	Übungen zu Autonomous Systems Engineering	Ü	Di 16-18 in CITEC 1.016 [04.04.-15.07.2022]Tue 16-18 in CITEC 1.016 [04.04.-15.07.2022]

Project "Autonomous Systems Engineering" (Pj)

Project "Autonomous Systems Engineering" (Pj)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392234	Klarhorst	Project: Autonomous Systems Engineering	Pj

Modul 39-M-Inf-MBP Multimodal Behavior Processing

Module 39-M-Inf-MBP Multimodal Behavior Processing

Multimodal Behavior Processing (V)

Multimodal Behavior Processing (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392116	Drimalla	Multimodal Behavior Processing: Affective Signals Course taught in English	V	Do 10-12 in CITEC [04.04.-15.07.2022] einmalig am 23.06.2022 in U2-223Thu 10-12 in CITEC [04.04.-15.07.2022] einmalig am 23.06.2022 in U2-223 ; Do 10-12 in U2-223 [23.06.2022] einmalig am 23.06.2022 in U2-223Thu 10-12 in U2-223 [23.06.2022] einmalig am 23.06.2022 in U2-223 ; Do 09-11 in H6 [21.07.2022] ErstklausurThu 09-11 in H6 [21.07.2022] Erstklausur
392116	Drimalla	Präsenzklausur "Multimodal Behavior Processing: Affective Signals" - Erstklausur Anmeldung über das eKVV bis zum 18.07.2022 Registration via the electronic course catalogue (eKVV) by 18.07.2022	Kl
392116	Drimalla	Präsenzklausur "Multimodal Behavior Processing: Affective Signals" - Zweitklausur eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Kl	Mi 10-12 in X-E0-224 [24.08.2022]Wed 10-12 in X-E0-224 [24.08.2022]

Übungen zu Multimodal Behavior Processing (Ü)

Excercise on Multimodal Behavior Processing (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392117	Drimalla, Johnson	Tutorials for Multimodal Behavior Processing: Affective Signals The course is not recommended for participants of the seminar "Affective Signals" from last summer semester, due to duplication of content. Course taught in English	Ü	Mi 16-18 in T2-233 [13.04.2022]Wed 16-18 in T2-233 [13.04.2022] ; Mi 16-18 in T2-233 [04.05.2022]Wed 16-18 in T2-233 [04.05.2022] ; Mi 16-18 in T2-233 [11.05.2022]Wed 16-18 in T2-233 [11.05.2022] ; Mi 16-18 in T2-233 [25.05.2022]Wed 16-18 in T2-233 [25.05.2022] ; Mi 16-18 in T2-233 [01.06.2022]Wed 16-18 in T2-233 [01.06.2022] ; Mi 16-18 in T2-233 [08.06.2022]Wed 16-18 in T2-233 [08.06.2022] ; Mi 16-18 in T2-233 [22.06.2022]Wed 16-18 in T2-233 [22.06.2022] ; Mi 16-18 in T2-233 [06.07.2022]Wed 16-18 in T2-233 [06.07.2022] ; Mi 16-18 in T2-233 [13.07.2022]Wed 16-18 in T2-233 [13.07.2022]
392117	Johnson	Tutorials for Multimodal Behavior Processing The course is not recommended for participants of the seminar "Affective Signals" from last summer semester, due to duplication of content.	Ü

Modul 39-M-Inf-VDM Vertiefung Datamining

Module 39-M-Inf-VDM Advanced Data Mining

Datamining II (ÜPrkt)

Datamining II (ÜPrkt)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392128	Melnik	Deep Learning for Data Mining Course taught in English	Ü	Di 8:30-10 ONLINE [04.04.-15.07.2022]Tue 8:30-10 ONLINE [04.04.-15.07.2022]

Datamining II (V)

Datamining II (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392127	Melnik	Deep Learning for Data Mining Course taught in English	V	Mo 8:30-10 ONLINE [04.04.-15.07.2022]Mon 8:30-10 ONLINE [04.04.-15.07.2022]

Modul 39-M-Inf-VHC_a Virtual Humans and Conversational Agents

Module 39-M-Inf-VHC_a Virtual Humans and Conversational Agents

Konversationale Agenten/Dialogsysteme (Pj o. S)

Konversationale Agenten/Dialogsysteme (Pj o. S)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392110	Voß	Simulation-based Reinforcement Learning for Intelligent Virtual Agents Course taught in English	S	Mo 14-16 in T7-138 [04.04.-15.07.2022]Mon 14-16 in T7-138 [04.04.-15.07.2022]

Modul 39-Inf-SNLP Statistical Natural Language Processing

Module 39-Inf-SNLP Statistical Natural Language Processing

(Project-) Seminar Statistical Natural Language Processing (Pj o. S)

(Project-) Seminar Statistical Natural Language Processing (Pj o. S)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392193	Eger	Sprechstunde Projekt Deep Learning for Natural Language Processing	Pj	Mo ONLINE [04.04.-15.07.2022]Mon ONLINE [04.04.-15.07.2022] ; Do 15:30-17:00 ONLINE [04.04.-15.07.2022]Thu 15:30-17:00 ONLINE [04.04.-15.07.2022]
392197	Eger	Deep Learning for Natural Language Processing	PjS	Do 12-14 ONLINE [04.04.-15.07.2022]Thu 12-14 ONLINE [04.04.-15.07.2022]

Modul 39-M-Inf-DL Deep Learning

Module 39-M-Inf-DL Deep Learning

Deep Learning (V)

Deep Learning (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392221	Hammer	Deep Learning Course taught in English	V	n.V. 9-13 in H3 [12.-20.09.2022]by appointment 9-13 in H3 [12.-20.09.2022] ; Mi 09-13 in X-E0-202 [14.09.2022]Wed 09-13 in X-E0-202 [14.09.2022] ; Di 09-13 in H13 [20.09.2022]Tue 09-13 in H13 [20.09.2022] ; Fr 13-15 in CITEC [30.09.2022] KlausurFri 13-15 in CITEC [30.09.2022] Klausur
392221	Hammer	Klausur Deep Learning Begrenzte Teilnahmezahl:Limited number of participants: 60 eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Kl

Deep Learning (Ü)

Deep Learning (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392222	Göpfert	Tutorials "Deep Learning" Course taught in English	Ü	n.V. 15-17 [04.04.-15.07.2022] Die Übungen finden als Block in den Semesterferien statt.by appointment 15-17 [04.04.-15.07.2022] Die Übungen finden als Block in den Semesterferien statt.
392223	Göpfert	Zusatztutorium Deep Learning Course taught in English	Ü	n.V. 15-17 [04.04.-15.07.2022] Das Tutorium findet als Block in den Semesterferien im September statt.by appointment 15-17 [04.04.-15.07.2022] Das Tutorium findet als Block in den Semesterferien im September statt.

Modul 39-M-Inf-SW Semantic Web

Module 39-M-Inf-SW Semantic Web

Semantic Web (Ü)

Semantic Web (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392140	Sanchez Graillet	Tutorials Introduction to the Semantic Web Course taught in English	Ü	Fr 10:00-12:00 ONLINE [04.04.-15.07.2022]Fri 10:00-12:00 ONLINE [04.04.-15.07.2022]

Semantic Web (V)

Semantic Web (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392139	Sanchez Graillet	Introduction to the Semantic Web Course taught in English	V	Mo 10:00-12:00 ONLINE [04.04.-15.07.2022]Mon 10:00-12:00 ONLINE [04.04.-15.07.2022]

Modul 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology

Module 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology

Ausgewählte Vorlesung (V)

Selected lecture (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392129	Schönhuth, Knop	Modern Data Science Technologies in Healthcare	V	Mi 12-14 VOR ORT & ONLINE in H10 [04.04.-15.07.2022]Wed 12-14 ON SITE & ONLINE in H10 [04.04.-15.07.2022] ; Mi 12-14 in U10-146 [13.07.2022] KlausurWed 12-14 in U10-146 [13.07.2022] Klausur
392129	Schönhuth, Vérolet	Klausur zur Veranstaltung "Modern Data Science Technologies in Healthcare"	Kl
392129	Schönhuth, Vérolet	Zweitklausur zur Veranstaltung "Modern Data Science Technologies in Healthcare"	Kl	Mo ONLINE [26.09.2022] Anmeldefrist: 18. September 2022Mon ONLINE [26.09.2022] Anmeldefrist: 18. September 2022

Übung zur ausgewählten Vorlesung (Ü)

Tutorial (in connection with lecture/seminar) (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392130	Schönhuth, Knop	Übungen zu Modern Data Science Technologies in Healthcare	Ü	Do 10-12 in Y-1-200 [04.04.-15.07.2022]Thu 10-12 in Y-1-200 [04.04.-15.07.2022]

Profil Variante 2 Profile Variante 2

Modul 31-M-ISDA Introduction to Statistical Data Analysis

Module 31-M-ISDA Introduction to Statistical Data Analysis

Multivariate Methods (V o. VÜA)

Multivariate Methods (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311850	Bauer, Langrock, Büscher	Multivariate Methods / Regression Analysis Prüfer: Prof. Dr. Bauer Anmeldung über das eKVV bis zum 24.07.2022 Registration via the electronic course catalogue (eKVV) by 24.07.2022	MDP

Regression Analysis (V o. VÜA)

Regression Analysis (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311850	Bauer, Langrock, Büscher	Multivariate Methods / Regression Analysis Prüfer: Prof. Dr. Bauer Anmeldung über das eKVV bis zum 24.07.2022 Registration via the electronic course catalogue (eKVV) by 24.07.2022	MDP

Modul 31-M-Ectr1 Econometrics 1

Module 31-M-Ectr1 Econometrics 1

Statistical and Econometric Models (V)

Statistical and Econometric Models (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
316202	Bauer	Statistical and Econometric Models Course taught in English	V	Mi 8-10 ONLINE [04.-15.04.2022] Online asynchronWed 8-10 ONLINE [04.-15.04.2022] Online asynchron ; Fr 10-12 ONLINE [04.-15.04.2022] Online asynchronFri 10-12 ONLINE [04.-15.04.2022] Online asynchron ; Mi 8-10 in H9 [18.04.-15.07.2022]Wed 8-10 in H9 [18.04.-15.07.2022] ; Fr 10-12 in H8 [18.04.-15.07.2022]Fri 10-12 in H8 [18.04.-15.07.2022]

Tutorium (Tut)

Tutorial (Tut)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
316205	Büscher	Statistical and Econometric Models Course taught in English	Ü	Fr 14-16 in H9 [11.04.-15.07.2022]Fri 14-16 in H9 [11.04.-15.07.2022]

Modul 31-M-ASM1 Advanced Statistical Methods I

Module 31-M-ASM1 Advanced Statistical Methods I

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) (V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311851	Langrock	Advanced Statistical Methods I	MDP
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) (V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (II.) (V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
311851	Langrock	Advanced Statistical Methods I	MDP
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Modul 31-M-ASM2 Advanced Statistical Methods II

Module 31-M-ASM2 Advanced Statistical Methods II

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) (Pj o. S o. V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (Pj o. S o. V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312409	Römer, Porrmann	Combining OR and Data Science Course taught in English	V	Di 10-12 in C01-230 [05.04.2022]Tue 10-12 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [19.04.2022]Tue 8-12 in W9-109 [19.04.2022] ; Di 8-12 in W9-109 [03.05.2022]Tue 8-12 in W9-109 [03.05.2022] ; Di 8-12 in W9-109 [10.05.2022]Tue 8-12 in W9-109 [10.05.2022] ; Di 8-12 in W9-109 [24.05.2022]Tue 8-12 in W9-109 [24.05.2022] ; Di 8-12 in W9-109 [07.06.2022]Tue 8-12 in W9-109 [07.06.2022] ; Di 8-12 in W9-109 [21.06.2022]Tue 8-12 in W9-109 [21.06.2022] ; Di 8-12 in W9-109 [28.06.2022]Tue 8-12 in W9-109 [28.06.2022]
312415	Hottung, Wetzel, Tierney	Metaheuristics Course taught in English	V	Di 8-10 in C01-230 [05.04.2022]Tue 8-10 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [26.04.2022]Tue 8-12 in W9-109 [26.04.2022] ; Di 8-12 in W9-109 [17.05.2022]Tue 8-12 in W9-109 [17.05.2022] ; Di 8-12 in W9-109 [31.05.2022]Tue 8-12 in W9-109 [31.05.2022] ; Di 8-12 in W9-109 [14.06.2022]Tue 8-12 in W9-109 [14.06.2022] ; Di 8-12 in W9-109 [05.07.2022]Tue 8-12 in W9-109 [05.07.2022]
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]
312520	Hinz, Iodice	Data Science in International Economics Research Die Veranstaltung wird teils in Person (klassische Vorlesung) und teils Online (Anwendungssession) stattfinden. Course taught in English	V	Mi 10-12 in U2-228 [04.04.-15.07.2022]Wed 10-12 in U2-228 [04.04.-15.07.2022] ; Mi 16-18 in U5-133 [04.04.-15.07.2022]Wed 16-18 in U5-133 [04.04.-15.07.2022]

Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) (Pj o. S o. V o. VÜA)

Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) (Pj o. S o. V o. VÜA)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
312409	Römer, Porrmann	Combining OR and Data Science Course taught in English	V	Di 10-12 in C01-230 [05.04.2022]Tue 10-12 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [19.04.2022]Tue 8-12 in W9-109 [19.04.2022] ; Di 8-12 in W9-109 [03.05.2022]Tue 8-12 in W9-109 [03.05.2022] ; Di 8-12 in W9-109 [10.05.2022]Tue 8-12 in W9-109 [10.05.2022] ; Di 8-12 in W9-109 [24.05.2022]Tue 8-12 in W9-109 [24.05.2022] ; Di 8-12 in W9-109 [07.06.2022]Tue 8-12 in W9-109 [07.06.2022] ; Di 8-12 in W9-109 [21.06.2022]Tue 8-12 in W9-109 [21.06.2022] ; Di 8-12 in W9-109 [28.06.2022]Tue 8-12 in W9-109 [28.06.2022]
312415	Hottung, Wetzel, Tierney	Metaheuristics Course taught in English	V	Di 8-10 in C01-230 [05.04.2022]Tue 8-10 in C01-230 [05.04.2022] ; Di 8-12 in W9-109 [26.04.2022]Tue 8-12 in W9-109 [26.04.2022] ; Di 8-12 in W9-109 [17.05.2022]Tue 8-12 in W9-109 [17.05.2022] ; Di 8-12 in W9-109 [31.05.2022]Tue 8-12 in W9-109 [31.05.2022] ; Di 8-12 in W9-109 [14.06.2022]Tue 8-12 in W9-109 [14.06.2022] ; Di 8-12 in W9-109 [05.07.2022]Tue 8-12 in W9-109 [05.07.2022]
312422	Fuchs	Bayesian Statistics II eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management Course taught in English	V	Do 12-14 ONLINE [04.-22.04.2022]Thu 12-14 ONLINE [04.-22.04.2022] ; Do 12-14 in T2-208 [25.04.-15.07.2022]Thu 12-14 in T2-208 [25.04.-15.07.2022]
312432	Möller	Statistical Learning Course taught in English	V	Di 16-18 ONLINE [04.-15.04.2022]Tue 16-18 ONLINE [04.-15.04.2022] ; Di 16-18 VOR ORT & ONLINE in H3 [18.04.-15.07.2022]Tue 16-18 ON SITE & ONLINE in H3 [18.04.-15.07.2022]
312501	Bauer	Methoden der Ökonometrie	V	Mo 12-14 ONLINE [04.-15.04.2022] Online asynchronMon 12-14 ONLINE [04.-15.04.2022] Online asynchron ; Mo 12-14 in D2-152 [18.04.-15.07.2022]Mon 12-14 in D2-152 [18.04.-15.07.2022]
312512	Langrock, Mews	Hidden Markov Models Course taught in English	V	Mi 9-13 in H9 [10.08.2022]Wed 9-13 in H9 [10.08.2022] ; Do 9-13 in H9 [11.08.2022]Thu 9-13 in H9 [11.08.2022] ; Fr 9-13 in H9 [12.08.2022]Fri 9-13 in H9 [12.08.2022] ; Mo 9-13 in H9 [15.08.2022]Mon 9-13 in H9 [15.08.2022] ; Di 9-13 in H9 [16.08.2022]Tue 9-13 in H9 [16.08.2022] ; Mi 9-13 in H9 [17.08.2022]Wed 9-13 in H9 [17.08.2022]
312514	Rickmeier, Schmiegel	Stichprobentheorie und statistische Versuchsplanung eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	V	Fr 12-14 ONLINE [04.-15.04.2022]Fri 12-14 ONLINE [04.-15.04.2022] ; Fr 12-14 in T2-233 [18.04.-15.07.2022]Fri 12-14 in T2-233 [18.04.-15.07.2022]

Modul 39-Inf-BDA_ver1 Big Data Analytics

Module 39-Inf-BDA_ver1 Big Data Analytics

Big Data Analytics (V)

Big Data Analytics (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392157	Schönhuth, Knop	Big Data Analytics	V	Do 10-12 VOR ORT & ONLINE in H2 [04.04.-15.07.2022]Thu 10-12 ON SITE & ONLINE in H2 [04.04.-15.07.2022] ; Do 14-17 in X-E0-001 [14.07.2022] ErstklausurThu 14-17 in X-E0-001 [14.07.2022] Erstklausur ; Do 09-12 in H4 [04.08.2022] ZweitklausurThu 09-12 in H4 [04.08.2022] Zweitklausur
392157	Schönhuth, Knop	Präsenzklausur "Big Data Analytics" - Erstklausur Begrenzte Teilnahmezahl:Limited number of participants: 130 Anmeldung über das eKVV bis zum 13.07.2022 Registration via the electronic course catalogue (eKVV) by 13.07.2022	Kl
392157	Schönhuth, Knop	Präsenzklausur "Big Data Analytics" - Zweitklausur Begrenzte Teilnahmezahl:Limited number of participants: 110 Anmeldung über das eKVV bis zum 27.07.2022 Registration via the electronic course catalogue (eKVV) by 27.07.2022	Kl

Big Data Analytics (Ü)

Big Data Analytics (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392158	Knop, Tutor: Swen Simon	Übungen 1: Big Data Analytics	Ü	Mi 16-18 in U2-147 [04.04.-15.07.2022]Wed 16-18 in U2-147 [04.04.-15.07.2022]
392158	Knop, Tutor: SwenSimon	Übungen 2: Big Data Analytics	Ü	Mi 16-18 in H3 [04.04.-15.07.2022] Tutor: Wed 16-18 in H3 [04.04.-15.07.2022] Tutor:
392158	Knop, Tutor: Harsha Manjunath	Übungen 3: Big Data Analytics	Ü	Do 16-18 in X-E0-228 [04.04.-15.07.2022] Tutor: Thu 16-18 in X-E0-228 [04.04.-15.07.2022] Tutor:

Modul 39-M-Inf-ADS Auditory Data Science

Module 39-M-Inf-ADS Auditory Data Science

Auditory Data Science (V)

Auditory Data Science (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392137	Hermann	Auditory Data Science Course taught in English	V	Mi 14-16 VOR ORT & ONLINE in Y-1-202 [04.04.-15.07.2022]Wed 14-16 ON SITE & ONLINE in Y-1-202 [04.04.-15.07.2022]

Übung zu Auditory Data Science (Ü)

Übung zu Auditory Data Science (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392138	Hermann	Auditory Data Science Course taught in English	Ü	Di 12-14 (14-täglich) ONLINE [11.04.-15.07.2022]Tue 12-14 (every two weeks) ONLINE [11.04.-15.07.2022]

Modul 39-M-Inf-ASE Autonomous Systems Engineering

Module 39-M-Inf-ASE Autonomous Systems Engineering

Autonomous Systems Engineering (V)

Autonomous Systems Engineering (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392125	Rückert	Autonomous Systems Engineering	V	Di 14-16 in CITEC 1.016 [04.04.-15.07.2022]Tue 14-16 in CITEC 1.016 [04.04.-15.07.2022]

Autonomous Systems Engineering (Ü)

Autonomous Systems Engineering (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392126	Klarhorst	Übungen zu Autonomous Systems Engineering	Ü	Di 16-18 in CITEC 1.016 [04.04.-15.07.2022]Tue 16-18 in CITEC 1.016 [04.04.-15.07.2022]

Project "Autonomous Systems Engineering" (Pj)

Project "Autonomous Systems Engineering" (Pj)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392234	Klarhorst	Project: Autonomous Systems Engineering	Pj

Modul 39-M-Inf-MBP Multimodal Behavior Processing

Module 39-M-Inf-MBP Multimodal Behavior Processing

Multimodal Behavior Processing (V)

Multimodal Behavior Processing (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392116	Drimalla	Multimodal Behavior Processing: Affective Signals Course taught in English	V	Do 10-12 in CITEC [04.04.-15.07.2022] einmalig am 23.06.2022 in U2-223Thu 10-12 in CITEC [04.04.-15.07.2022] einmalig am 23.06.2022 in U2-223 ; Do 10-12 in U2-223 [23.06.2022] einmalig am 23.06.2022 in U2-223Thu 10-12 in U2-223 [23.06.2022] einmalig am 23.06.2022 in U2-223 ; Do 09-11 in H6 [21.07.2022] ErstklausurThu 09-11 in H6 [21.07.2022] Erstklausur
392116	Drimalla	Präsenzklausur "Multimodal Behavior Processing: Affective Signals" - Erstklausur Anmeldung über das eKVV bis zum 18.07.2022 Registration via the electronic course catalogue (eKVV) by 18.07.2022	Kl
392116	Drimalla	Präsenzklausur "Multimodal Behavior Processing: Affective Signals" - Zweitklausur eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Kl	Mi 10-12 in X-E0-224 [24.08.2022]Wed 10-12 in X-E0-224 [24.08.2022]

Übungen zu Multimodal Behavior Processing (Ü)

Excercise on Multimodal Behavior Processing (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392117	Drimalla, Johnson	Tutorials for Multimodal Behavior Processing: Affective Signals The course is not recommended for participants of the seminar "Affective Signals" from last summer semester, due to duplication of content. Course taught in English	Ü	Mi 16-18 in T2-233 [13.04.2022]Wed 16-18 in T2-233 [13.04.2022] ; Mi 16-18 in T2-233 [04.05.2022]Wed 16-18 in T2-233 [04.05.2022] ; Mi 16-18 in T2-233 [11.05.2022]Wed 16-18 in T2-233 [11.05.2022] ; Mi 16-18 in T2-233 [25.05.2022]Wed 16-18 in T2-233 [25.05.2022] ; Mi 16-18 in T2-233 [01.06.2022]Wed 16-18 in T2-233 [01.06.2022] ; Mi 16-18 in T2-233 [08.06.2022]Wed 16-18 in T2-233 [08.06.2022] ; Mi 16-18 in T2-233 [22.06.2022]Wed 16-18 in T2-233 [22.06.2022] ; Mi 16-18 in T2-233 [06.07.2022]Wed 16-18 in T2-233 [06.07.2022] ; Mi 16-18 in T2-233 [13.07.2022]Wed 16-18 in T2-233 [13.07.2022]
392117	Johnson	Tutorials for Multimodal Behavior Processing The course is not recommended for participants of the seminar "Affective Signals" from last summer semester, due to duplication of content.	Ü

Modul 39-M-Inf-VDM Vertiefung Datamining

Module 39-M-Inf-VDM Advanced Data Mining

Datamining II (ÜPrkt)

Datamining II (ÜPrkt)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392128	Melnik	Deep Learning for Data Mining Course taught in English	Ü	Di 8:30-10 ONLINE [04.04.-15.07.2022]Tue 8:30-10 ONLINE [04.04.-15.07.2022]

Datamining II (V)

Datamining II (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392127	Melnik	Deep Learning for Data Mining Course taught in English	V	Mo 8:30-10 ONLINE [04.04.-15.07.2022]Mon 8:30-10 ONLINE [04.04.-15.07.2022]

Modul 39-M-Inf-VHC_a Virtual Humans and Conversational Agents

Module 39-M-Inf-VHC_a Virtual Humans and Conversational Agents

Konversationale Agenten/Dialogsysteme (Pj o. S)

Konversationale Agenten/Dialogsysteme (Pj o. S)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392110	Voß	Simulation-based Reinforcement Learning for Intelligent Virtual Agents Course taught in English	S	Mo 14-16 in T7-138 [04.04.-15.07.2022]Mon 14-16 in T7-138 [04.04.-15.07.2022]

Modul 39-Inf-SNLP Statistical Natural Language Processing

Module 39-Inf-SNLP Statistical Natural Language Processing

(Project-) Seminar Statistical Natural Language Processing (Pj o. S)

(Project-) Seminar Statistical Natural Language Processing (Pj o. S)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392193	Eger	Sprechstunde Projekt Deep Learning for Natural Language Processing	Pj	Mo ONLINE [04.04.-15.07.2022]Mon ONLINE [04.04.-15.07.2022] ; Do 15:30-17:00 ONLINE [04.04.-15.07.2022]Thu 15:30-17:00 ONLINE [04.04.-15.07.2022]
392197	Eger	Deep Learning for Natural Language Processing	PjS	Do 12-14 ONLINE [04.04.-15.07.2022]Thu 12-14 ONLINE [04.04.-15.07.2022]

Modul 39-M-Inf-DL Deep Learning

Module 39-M-Inf-DL Deep Learning

Deep Learning (V)

Deep Learning (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392221	Hammer	Deep Learning Course taught in English	V	n.V. 9-13 in H3 [12.-20.09.2022]by appointment 9-13 in H3 [12.-20.09.2022] ; Mi 09-13 in X-E0-202 [14.09.2022]Wed 09-13 in X-E0-202 [14.09.2022] ; Di 09-13 in H13 [20.09.2022]Tue 09-13 in H13 [20.09.2022] ; Fr 13-15 in CITEC [30.09.2022] KlausurFri 13-15 in CITEC [30.09.2022] Klausur
392221	Hammer	Klausur Deep Learning Begrenzte Teilnahmezahl:Limited number of participants: 60 eKVV Teilnahmemanagement Electronic course catalogue (eKVV) participant management	Kl

Deep Learning (Ü)

Deep Learning (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392222	Göpfert	Tutorials "Deep Learning" Course taught in English	Ü	n.V. 15-17 [04.04.-15.07.2022] Die Übungen finden als Block in den Semesterferien statt.by appointment 15-17 [04.04.-15.07.2022] Die Übungen finden als Block in den Semesterferien statt.
392223	Göpfert	Zusatztutorium Deep Learning Course taught in English	Ü	n.V. 15-17 [04.04.-15.07.2022] Das Tutorium findet als Block in den Semesterferien im September statt.by appointment 15-17 [04.04.-15.07.2022] Das Tutorium findet als Block in den Semesterferien im September statt.

Modul 39-M-Inf-SW Semantic Web

Module 39-M-Inf-SW Semantic Web

Semantic Web (Ü)

Semantic Web (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392140	Sanchez Graillet	Tutorials Introduction to the Semantic Web Course taught in English	Ü	Fr 10:00-12:00 ONLINE [04.04.-15.07.2022]Fri 10:00-12:00 ONLINE [04.04.-15.07.2022]

Semantic Web (V)

Semantic Web (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392139	Sanchez Graillet	Introduction to the Semantic Web Course taught in English	V	Mo 10:00-12:00 ONLINE [04.04.-15.07.2022]Mon 10:00-12:00 ONLINE [04.04.-15.07.2022]

Modul 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology

Module 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology

Ausgewählte Vorlesung (V)

Selected lecture (V)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392129	Schönhuth, Knop	Modern Data Science Technologies in Healthcare	V	Mi 12-14 VOR ORT & ONLINE in H10 [04.04.-15.07.2022]Wed 12-14 ON SITE & ONLINE in H10 [04.04.-15.07.2022] ; Mi 12-14 in U10-146 [13.07.2022] KlausurWed 12-14 in U10-146 [13.07.2022] Klausur
392129	Schönhuth, Vérolet	Klausur zur Veranstaltung "Modern Data Science Technologies in Healthcare"	Kl
392129	Schönhuth, Vérolet	Zweitklausur zur Veranstaltung "Modern Data Science Technologies in Healthcare"	Kl	Mo ONLINE [26.09.2022] Anmeldefrist: 18. September 2022Mon ONLINE [26.09.2022] Anmeldefrist: 18. September 2022

Übung zur ausgewählten Vorlesung (Ü)

Tutorial (in connection with lecture/seminar) (Ü)

Belegnr Reference no.	Lehrende/r Teaching staff	Thema Topic	Art Type	Termine Dates	Mein eKVV My eKVV
392130	Schönhuth, Knop	Übungen zu Modern Data Science Technologies in Healthcare	Ü	Do 10-12 in Y-1-200 [04.04.-15.07.2022]Thu 10-12 in Y-1-200 [04.04.-15.07.2022]

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