Introduction to Data Analysis Techniques
Module PH2309
Basic Information
PH2309 is a semester module in language at Master’s level which is offered irregularly.
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) |
|---|---|---|
| 150 h | h | 5 CP |
Responsible coordinator of the module PH2309 is Allen C. Caldwell.
Content, Learning Outcome and Preconditions
Content
The consists of two parts:
1) Introduction to Statistical Methods
Topics: Derivation and application of the most commonly used statistical distributions, Central Limit Theorem, point estimates, confidence intervals, test statistics, p-values and related topics.
2) Introduction to Monte Carlo Methods
Topics: Variable transformations, accept-reject methods, sample mean, importance sampling, random walks, Markov Chain Monte Carlos and applications
Learning Outcome
no info
Preconditions
No preconditions in addition to the requirements for the Master’s program in Physics.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VO | 1 | Introduction to Monte Carlo Methods | Caldwell, A. |
Mon, 09:00–17:15 |
|
| VO | 1 | Introduction to Statistical Methods | Caldwell, A. |
Mon, 09:00–17:00 |
|
| UE | 1 | Exercise to Introduction to Monte Carlo Methods | Caldwell, A. | ||
| UE | 1 | Exercise to Introduction to Statistical Methods | Caldwell, A. |
Learning and Teaching Methods
no info
Media
no info
Literature
no info