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Introduction to Data Analysis Techniques

Module PH2309

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

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 workloadContact hoursCredits (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

Learning and Teaching Methods

no info

Media

no info

Literature

no info

Module Exam

Description of exams and course work

students turn in solutions to assigned problems for each topic.

Exam Repetition

The exam may be repeated at the end of the semester.

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