Department of Computer Science 5

Contact

+49 9131 85 27799

+49 9131 85 27270

Address

Universität Erlangen-Nürnberg
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
Germany

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Dept. of Computer Sc. » Pattern Recognition » Our Team » Vesal, Sulaiman » Lectures

Sulaiman Vesal M. Sc.

Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Lectures

Studiengänge: M.Sc. Informatik

Master Informatik

Lectures

Breininger, Katharina
Maier, Andreas
Vesal, Sulaiman

Deep Learning [DL]

2 SWS; 2,5 ECTS credits

Dienstag, 8:30 - 10:00; Raum: H4

Exercises

Breininger, Katharina
Vesal, Sulaiman
Würfl, Tobias

Deep Learning Exercises [DL E]

2 SWS; 2,5 ECTS credits

Mittwoch, 10:00 - 12:00; Raum: 0.01-142 CIP
Montag, 12:00 - 14:00; Raum: 0.01-142 CIP
Freitag, 8:00 - 10:00; Raum: 0.01-142 CIP
Dienstag, 10:00 - 12:00; Raum: 0.01-142 CIP
Donnerstag, 14:00 - 16:00; Raum: 0.01-142 CIP

Kolloquium

Vesal, Sulaiman

Kolloquium Learning Approaches for Medical Big Data Analysis [LAMBDA]

2 SWS

Montag, 16:00 - 17:30; Raum: 09.150



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Department of Computer Science 5 Our Team Vesal, Sulaiman Projects Lectures Publications Thesis Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 27799 +49 9131 85 27270 10.136 Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstr. 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Vesal, Sulaiman » Lectures Sulaiman Vesal M. Sc. Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Lectures Studiengänge: M.Sc. Informatik Master Informatik Lectures Breininger, Katharina Maier, Andreas Vesal, Sulaiman Deep Learning [DL] 2 SWS; 2,5 ECTS credits Dienstag, 8:30 - 10:00; Raum: H4 Exercises Breininger, Katharina Vesal, Sulaiman Würfl, Tobias Deep Learning Exercises [DL E] 2 SWS; 2,5 ECTS credits Mittwoch, 10:00 - 12:00; Raum: 0.01-142 CIP Montag, 12:00 - 14:00; Raum: 0.01-142 CIP Freitag, 8:00 - 10:00; Raum: 0.01-142 CIP Dienstag, 10:00 - 12:00; Raum: 0.01-142 CIP Donnerstag, 14:00 - 16:00; Raum: 0.01-142 CIP Kolloquium Vesal, Sulaiman Kolloquium Learning Approaches for Medical Big Data Analysis [LAMBDA] 2 SWS Montag, 16:00 - 17:30; Raum: 09.150