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Pawel Andrzej Herman

Associate professor

Kungliga Tekniska Högskolanhttps://www.kth.se/profile/paherman

Works for

DIVISION OF COMPUTATIONAL SCIENCE AND TECHNOLOGY

Telephone

+46 8 790 65 13

Unit address

Lindstedtsvägen 5

E-mail

paherman@kth.se

Room

Researcher ID

Courses

Artificial Neural Networks and Deep Architectures (DD2437), examiner, course responsible, teacher

Artificial Neural Networks and deep Architectures (FDD3437), examiner, teacher, course responsible

Degree Project in Computer Engineering, First Cycle (II142X), examiner

Degree Project in Computer Science and Engineering, First Cycle (DA150X), examiner, course responsible, teacher

Degree Project in Computer Science and Engineering, Second Cycle (DA231X), examiner

Degree Project in Computer Science and Engineering, Second Cycle (DA239X), examiner

Degree Project in Computer Science and Engineering, Second Cycle (DA250X), examiner

Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA258X), examiner

Degree Project in Computer Science and Engineering, specializing in Industrial Management, Second Cycle (DA235X), examiner

Degree Project in Computer Science and Engineering, specializing in Machine Learning, Second Cycle (DA233X), examiner

Degree Project in Computer Science and Engineering, specializing in Systems, Control and Robotics, Second Cycle (DA236X), examiner

Degree Project in Electrical Engineering, Second Cycle (EA250X), examiner

Degree Project in Electrical Engineering, Second Cycle (EA238X), examiner

Degree Project in Electrical Engineering, specializing in Information and Network Engineering, Second Cycle (EA260X), examiner

Degree Project in Electrical Engineering, specializing in Systems, Control and Robotics, Second Cycle (EA236X), examiner

Degree Project in Information and Communication Technology, First Cycle (II143X), examiner

Human Perception for Information Technology (DM2350), teacher

Logic for Computer Scientists (DD1351), assistant

Probability Theory and Statistics with Application to Machine Learning (SF1935), teacher

Program Integrating Course in Machine Learning (DD2301), teacher

Programme Integrating Course in Computer Science Engineering (DD1390), assistant

Programme Integrating Course in Computer Science Engineering (DD1391), assistant