701-3001-00L  Environmental Systems Data Science

SemesterAutumn Semester 2020
LecturersL. Pellissier, J. Payne, B. Stocker
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
701-3001-00 GEnvironmental Systems Data Science
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed12-14CHN E 42 »
12-14CHN E 46 »
16.09.12-14ON LI NE »
23.09.12-14ON LI NE »
30.09.12-14ON LI NE »
L. Pellissier, J. Payne, B. Stocker

Catalogue data

AbstractStudents are introduced to a typical data science workflow using various examples from environmental systems. They learn common methods and key aspects for each step through practical application. The course enables students to plan their own data science project in their specialization and to acquire more domain-specific methods independently or in further courses.
ObjectiveThe students are able to
● frame a data science problem and build a hypothesis
● describe the steps of a typical data science project workflow
● conduct selected steps of a workflow on specifically prepared datasets, with a focus on choosing, fitting and evaluating appropriate algorithms and models
● critically think about the limits and implications of a method
● visualise data and results throughout the workflow
● access online resources to keep up with the latest data science methodology and deepen their understanding
Content● The data science workflow
● Access and handle (large) datasets
● Prepare and clean data
● Analysis: data exploratory steps
● Analysis: machine learning and computational methods
● Evaluate results and analyse uncertainty
● Visualisation and communication
Prerequisites / Notice252-0840-02L Anwendungsnahes Programmieren mit Python
401-0624-00L Mathematik IV: Statistik
401-6215-00L Using R for Data Analysis and Graphics (Part I)
401-6217-00L Using R for Data Analysis and Graphics (Part II)
701-0105-00L Mathematik VI: Angewandte Statistik für Umweltnaturwissenschaften

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersL. Pellissier, J. Payne, B. Stocker
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places70 at the most
Beginning of registration periodRegistration possible from 07.09.2020
PriorityRegistration for the course unit is until 18.09.2020 only possible for the primary target group
Primary target groupAtmospheric and Climate Science MSc (661000)
Environmental Sciences MSc (736000)
Agricultural Sciences MSc (762000)
Waiting listuntil 25.09.2020

Offered in

ProgrammeSectionType
Agroecosystem Sciences MasterElectives CoursesW+Information
Environmental Sciences MasterMethods and ToolsWInformation
Environmental Sciences MasterOther ElectivesWInformation
Environmental Sciences MasterElectivesWInformation
Environmental Sciences MasterElectivesWInformation
Environmental Sciences MasterElectivesWInformation
Environmental Sciences MasterAdditional Elective CoursesWInformation
Environmental Sciences MasterElectivesWInformation