Scientific Computing with Python
Limited number of participants! Enrollment: from June 1 to July 7, 2017.
Python is a programming language that is wide-spread among scientists due to its readability and powerful standard libraries. This practical course teaches Python to students with prior experience in other programming languages. In addition to introducing the language itself, we will focus on scientific computing including vectors and matrices. During the second week, participants will implement their own project in Python.
Lecturers
Prof. Dr. Laurenz WiskottLecturer |
(+49) 234-32-27997 laurenz.wiskott@ini.rub.de NB 3/29 |
Dr.-Ing. Jan MelchiorTutor |
(+49) 234-32-27987 jan.melchior@ini.rub.de NB 3/70 |
Merlin Schüler, M.Sc.Tutor |
merlin.schueler@ini.rub.de |
Dr. Fabian SchönfeldTutor |
(+49) 234-32-27988 fabian.schoenfeld@ini.rub.de NB 3/35 |
Details
- Course type
- Lab courses
- Credits
- 3 CP
- Term
- Summer Term 2016
Dates
- Lab course
-
Takes place
every day from 10:00 to 18:00 in room NA 02/247 (CIP-Pool).
First appointment is on 18.09.2017
Last appointment is on 29.09.2017
Requirements
"Grundlagen der Programmierung" / Fluency in at least one other programming language required / Recommended preparation: "Grundlagen der Informatik" and "Datenstrukturen"
Content
- Python basics: syntax, interpreter, control structures, data types, OOP, etc.
- Scientific computing: NumPy, SciPy, Matplotlib, parallelization
- Code quality: PyDoc, exceptions, debugging, profiling, unittests, git
- Project: realization of an own project in Python
Grading
Grading is based on the realization of an own project during the course.
Enrollment
Please enroll by sending an email to python@ini.rub.de. This is for us to keep track of the number of participants. Also remember to enroll "officially" via FlexNow or your examination office (Prüfungsamt). Students of PO13 will be given priority because participation in one of the programming courses is mandatory for them. Other students may send us an email as well to get to the waiting list until the end of PO13 registration phase.
In your mail please include:
- name
- student ID number (Matrikelnummer)
- study program (Studiengang)
- current semester
- Bachelor/Master
- PO13/PO09/etc.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210