Statistics
Methods and Tools T3130  Statistics 

Exam Code  3130 
Credit Points  5 ECTS 
Term  Winter 
Module Coordination  Prof. Dr.Ing. Jackson Roehrig 
Lecturers  Prof. Dr.Ing. Jackson Roehrig 
Workload (h)  45 Attendance  105 SelfStudy 

Prerequisites  Since the number of attendees is expected to be higher than the computer lab capacity, the computer lab will not be used for lectures. Therefore, attendees are expected to bring their laptops installed with the required software to the lectures. If you do not have a laptop, you can catch up on exercises at our lab after the lectures, or eventually a classmate will share his/her laptop with you.The following software should be installed on your computer (available for Windows, Mac OS X, and Linux):
It is recommended to attend online courses or follow tutorials on Python before the module starts. Some recommendations:


Intended Learning Outcome  Statistical methods are essential in different contexts of natural resources management systems, like for example for data assessment and monitoring, model building, and project evaluation. The students are able to organize, analyze and present data using descriptive and inferential methods. 
Content  IntroductionGeneral concepts
Frequency
Univariate Probability
Python
Random variables
Discrete and continuous probability distributions
Confidence intervals and hypothesis testing Regression and correlation
Geostatistics 
Teaching Method  Lectures, exercises on computer, discussion of examples from module Project 
Assesment Method  Written Examination (100%) 
Recommended Reading  Online tutorial and other documents will be given during the lecture 
Version  29.05.2015 
Next Methods and Tools Module: EcoBalancing and Decision Support Systems