701-3001-00L  Environmental Systems Data Science: Data Processing

SemesterAutumn Semester 2023
LecturersL. Pellissier, E. J. Harris, M. Volpi
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
701-3001-00 GEnvironmental Systems Data Science: Data Processing2 hrs
Tue/108:15-09:00CHN C 14 »
09:15-10:00CHN D 29 »
09:15-10:00CHN D 44 »
09:15-10:00CHN D 46 »
09:15-10:00CHN F 46 »
L. Pellissier, E. J. Harris, M. Volpi

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 credits2 credits
ExaminersL. Pellissier, E. J. Harris, M. Volpi
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

Places80 at the most
Beginning of registration periodRegistration possible from 30.08.2023
PriorityRegistration for the course unit is until 22.09.2023 only possible for the primary target group
Primary target groupAtmospheric and Climate Science MSc (661000)
Environmental Sciences MSc (736000)
Doctorate Environmental Sciences (739002)
Doctorate Agricultural Sciences (739102)
Agricultural Sciences MSc (762000)
Waiting listuntil 29.09.2023

Offered in

ProgrammeSectionType
Agricultural Sciences MasterData Science and Technology for Agricultural ScienceW+Information
Agricultural Sciences MasterElectives CoursesW+Information
Doctorate Environmental SciencesBasic and Scientific SkillsWInformation
Environmental Sciences MasterMethods and ToolsWInformation
Environmental Sciences MasterModeling and Statistical AnalysisWInformation
Environmental Sciences MasterAdditional ElectivesWInformation
Environmental Sciences MasterElectivesWInformation
Environmental Sciences MasterElectivesWInformation
Environmental Sciences MasterAdditional Elective CoursesWInformation
Environmental Sciences MasterElectivesWInformation