Introduction to C++ Programming
Module PH8104
Basic Information
PH8104 is a semester module in English language at Bachelor’s level which is offered in winter semester.
If not stated otherwise for export to a non-physics program the student workload is given in the following table.
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 90 h | 30 h | 3 CP |
Responsible coordinator of the module PH8104 is Stephan Paul.
Content, Learning Outcome and Preconditions
Content
The lecture covers computer-aided data analysis with special
with special emphasis on methods used in high-energy hadron reactions.
are used. This includes first the approach to
experimental data sets whose size is in the petabyte range and
requires correspondingly efficient reconstruction and filtering algorithms.
In addition, the acceptance of the measurement apparatus plays a major role,
whose consideration in the data analysis is treated in detail.
Here, the knowledge of Monte Carlo simulation of multidimensional
random distributions will be deepened. As an example, data from the
COMPASS experiment at CERN are used as an example, and the program package "root"
(root.cern.ch) will be used.
The lecture will cover topics similar to those in the winter term
"Computational Data Analysis in Nuclear and Particle Physics", but with a different emphasis
but has a different focus, especially with respect to simulation methods.
It is designed independently from the content of the WS lecture, so that both
continuation as well as new entry is possible. The level of previous knowledge of the
will be taken into account in any case.
Learning Outcome
no info
Preconditions
None
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
WS 2022/3
WS 2021/2
SS 2021
WS 2020/1
WS 2019/20
WS 2018/9
SS 2018
WS 2017/8
WS 2016/7
WS 2015/6
SS 2015
SS 2014
SS 2013
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| UE | 2 | Introduction to C++ programming |
Paul, S.
Assistants: Gerassimov, S. |
Mon, 10:00–17:00, PH II 127 |
eLearning |
Learning and Teaching Methods
no info
Media
no info
Literature
no info