Search result: Catalogue data in Autumn Semester 2022

Environmental Sciences Master Information
Major in Biogeochemistry and Pollutant Dynamics
Biogeochemical Processes
NumberTitleTypeECTSHoursLecturers
701-1313-00LIsotopes and Biomarkers in BiogeochemistryW3 credits2GC. Schubert, N. Casacuberta Arola, R. Kipfer
AbstractThe course introduces the scientific concepts and typical applications of tracers in biogeochemistry. The course covers stable and radioactive isotopes, geochemical tracers and biomarkers and their application in biogeochemical processes as well as regional and global cycles. The course provides essential theoretical background for the lab course "Isotopic and Organic Tracers Laboratory".
Learning objectiveThe course aims at understanding the fractionation of stable isotopes in biogeochemical processes. Students learn to know the origin and decay modes of relevant radiogenic isotopes. They discover the spectrum of possible geochemical tracers and biomarkers, their potential and limitations and get familiar with important applications
ContentGeogenic and cosmogenic radionuclides (sources, decay chains);
stable isotopes in biogeochemistry (nataural abundance, fractionation);
geochemical tracers for processes such as erosion, productivity, redox fronts; biomarkers for specific microbial processes.
Lecture noteshandouts will be provided for every chapter
LiteratureA list of relevant books and papers will be provided
Prerequisites / NoticeStudents should have a basic knowledge of biogeochemical processes (BSc course on Biogeochemical processes in aquatic systems or equivalent)
701-1315-00LBiogeochemistry of Trace ElementsW3 credits2GA. Voegelin, S. Bouchet, L. Winkel
AbstractThe course addresses the biogeochemical classification and behavior of trace elements, including key processes driving the cycling of important trace elements in aquatic and terrestrial environments and the coupling of abiotic and biotic transformation processes of trace elements. Examples of the role of trace elements in natural or engineered systems will be presented and discussed in the course.
Learning objectiveThe students are familiar with the chemical characteristics, the environmental behavior and fate, and the biogeochemical reactivity of different groups of trace elements. They are able to apply their knowledge on the interaction of trace elements with geosphere components and on abiotic and biotic transformation processes of trace elements to discuss and evaluate the behavior and impact of trace elements in aquatic and terrestrial systems.
Content(i) Definition, importance and biogeochemical classification of trace elements. (ii) Key biogeochemical processes controlling the cycling of different trace elements (base metals, redox-sensitive and chalcophile elements, volatile trace elements) in natural and engineered environments. (iii) Abiotic and biotic processes that determine the environmental fate and impact of selected trace elements.
Lecture notesSelected handouts (lecture notes, literature, exercises) will be distributed during the course.
Prerequisites / NoticeStudents are expected to be familiar with the basic concepts of aquatic and soil chemistry covered in the respective classes at the bachelor level (soil mineralogy, soil organic matter, acid-base and redox reactions, complexation and sorption reactions, precipitation/dissolution reactions, thermodynamics, kinetics, carbonate buffer system).
The lecture 701-1315-00L Biogeochemistry of Trace Elements is a prerequisite for attending the laboratory course 701-1331-00L Trace Elements Laboratory, or students must be concurrently enrolled in 701-1315-00L Biogeochemistry of Trace Elements in the same semester.
701-1316-00LPhysical Transport Processes in the Natural EnvironmentW3 credits2GJ. W. Kirchner
AbstractFluid flows transport all manner of biologically important gases, nutrients, toxins, contaminants, spores and seeds, as well as a wide range of organisms themselves. This course explores the physics of fluids in the natural environment, with emphasis on the transport, dispersion, and mixing of solutes and entrained particles, and their implications for biological and biogeochemical processes.
Learning objectiveStudents will learn key concepts of fluid mechanics and how to apply them to environmental problems. Weekly exercises based on real-world data will develop core skills in analysis, interpretation, and problem-solving.
Contentdimensional analysis, similarity, and scaling
solute transport in laminar and turbulent flows
transport and dispersion in porous media
transport of sediment (and adsorbed contaminants) by air and water
anomalous dispersion
Lecture notesThe course is under development. Lecture materials will be distributed as they become available.
Applications
NumberTitleTypeECTSHoursLecturers
701-1346-00LCarbon Mitigation Restricted registration - show details
Number of participants limited to 100

Priority is given to the target groups: Bachelor and Master Environmental Sciences and PHD Environmental Sciences until 20.09.2022.
Waiting list will be deleted 30.09.2022.
W3 credits2GN. Gruber
AbstractFuture climate change can only kept within reasonable bounds when CO2 emissions are drastically reduced. In this course, we will discuss a portfolio of options involving the alteration of natural carbon sinks and carbon sequestration. The course includes introductory lectures, presentations from guest speakers from industry and the public sector, and final presentations by the students.
Learning objectiveThe goal of this course is to investigate, as a group, a particular set of carbon mitigation/sequestration options and to evaluate their potential, their cost, and their consequences.
ContentFrom the large number of carbon sequestration/mitigation options, a few options will be selected and then investigated in detail by the students. The results of this research will then be presented to the other students, the involved faculty, and discussed in detail by the whole group.
Lecture notesNone
LiteratureWill be identified based on the chosen topic.
Prerequisites / NoticeExam: No final exam. Pass/No-Pass is assigned based on the quality of the presentation and ensuing discussion.
701-1351-00LAnthropogenic Particles in the EnvironmentW3 credits2GB. Nowack, T. Bucheli, D. Mitrano
AbstractThe lecture provides an overview on the behavior and effects of anthropogenic particles in the environment, covering engineered nanoparticles, micro/nanoplastics, tire wear, soot and pigments. The course will cover key concepts of particle behavior and analysis, fate in technical and natural systems, toxicity and environmental risk assessment and sustainability aspects and regulation.
Learning objective- Successful application of knowledge gained in traditional disciplines of environmental sciences (e.g. biogeochemistry, environmental chemistry) to elucidate particle fate and behavior in the environment
- Identify key parameters that potentially influence the environmental fate and behavior of anthropogenic particles
- Get acquainted with the most common analytical tools for the quantification of anthropogenic particles in the environment
- Critical assessment of current state of research, including the sometimes controversial literature data
Content- Definitions, particle types
- Particle behavior: colloidal behavior, transport, transformation
- Sources and release; Material flow modeling
- Fundamentals of particle analysis
- Release and emission
- Fate in the environment: water, soil, air
- Fate in technical systems: water treatment, waste incineration
- Uptake and toxicity of particles
- Environmental risk assessment
- Life cycle assessment
Lecture notesHandouts will be provided
Literaturewill be provided during lecture
860-0012-00LCooperation and Conflict Over International Water Resources Restricted registration - show details
Number of participants limited to 40.
Priority for Science, Technology, and Policy MSc.

This is a research seminar at the Master level. PhD students are also welcome. PhD students please register via the study administration.
W3 credits2GT. Bernauer, T. U. Siegfried
AbstractThis course focuses on the technical, economic, and political challenges of dealing with water allocation and pollution problems in large international river systems. It examines ways and means through which such challenges are or can be addressed, and when and why international efforts in this respect succeed or fail.
Learning objectiveAbility to (1) understand the causes and consequences of water scarcity and water pollution problems in large international river systems; (2) understand ways and means of addressing such water challenges; and (3) analyse when and why international efforts in this respect succeed or fail.
ContentThe first six meetings serve to acquire basic knowledge on the science and politics of international water management. This will be followed by five meetings that focus on specific cases (international river systems) and a meeting where we discuss what can be learned from the five cases. For this part of the class we have invited several colleagues with long-standing expertise on the respective international river basin.

20.Sep Global water challenges
27.Sep Nuts and bolts of hydrological modeling and what such models can tell us
04.Oct Nuts and bolts of hydrological modeling and what such models can tell us
11.Oct Water pollution and its mitigation
18.Oct Key challenges in international river systems
25.Oct Key challenges in international river systems
01.Nov Case study 1: Yarmuk
08.Nov Case study 2: Mekong
15.Nov Case study 3: Colorado
22.Nov Case study 4: Nile
29.Nov Case study 5: Central Asia
06.Dec Wrap up: what we can learn from these case studies
13.Dec Exam
20.Dec No class

Exam: 3 ECTS, based on grade ≥ 4.0 in written test at the end of the semester. 90 minutes; 13 December 2022, 12:15 – 13:45; same room as the course. The exam covers the mandatory reading assignments as well as lectures and discussion parts in class. The exam will consist of around ten questions that require answers in a few sentences each. Permitted supporting material: dictionary, ink-based pen, no laptops, no mobile phones, no calculators, no printed or hand-written material.
Lecture notesSlides and reading materials will be made available via Moodle.
LiteratureSlides and reading materials will be made available via Moodle.
Prerequisites / NoticeThe course is open to Master and doctoral students from any area of ETH.

Limited to 40 students.

Most meetings will take place on campus, with no recording of meetings. Participation in this course only makes sense if you can attend classes regularly in person.
Methods and Tools: Lab Courses
NumberTitleTypeECTSHoursLecturers
701-1331-00LBiogeochemistry of Trace Elements Laboratory Restricted registration - show details
Number of participants limited to 16.
Priority is given to the target groups: Master Environmental Science until 14.10.2022.
Waiting list will be deleted 21.10.2022.
W3 credits4PL. K. Thomas Arrigo, K. Barmettler
AbstractThe course offers a practical introduction into the investigation of the biogeochemistry of trace elements. Laboratory experiments are performed to study a selected environmental process. Advanced techniques for the analysis of total element contents and element speciation are used. The experimental findings are interpreted and discussed in their environmental context.
Learning objectiveThe objective of this course, is to offer students a practical introduction into the investigation of the biogeochemistry of trace elements. During the course, students will become familiar with some of the key experimental approaches typically used in the investigation of the biogeochemistry of trace elements in the laboratory. In addition, students will learn to use different advanced analytical techniques to measure the total content and the speciation of trace elements in both liquid and solid samples. The students will interpret and discuss their experimental findings in the context of the studied environmental system.
ContentLaboratory experiments are designed and performed to study the interplay of various biogeochemical processes in a specific environmental system. Moreover, the effect of these processes on the biogeochemical cycling of trace elements in the environment will be considered. Advanced techniques for the analysis of total element contents and element speciation are used. The experimental findings are interpreted and discussed in the context of the the environmental system under investigation.
Lecture notesSelected handouts will be distributed during the course.
LiteratureAll neccessary literature will be uploaded to the ILIAS repository during the course.
Prerequisites / NoticePre- or corequisite: Lecture “Biogeochemistry of Trace Elements”.
701-1333-00LIsotopes and Biomarkers in Biogeochemistry Laboratory Restricted registration - show details
Number of participants limited to 14.
Waiting list will be deleted 19.09.2022.
No enrollment possible after 20.09.2022.
W3 credits4PC. Schubert, R. Kipfer
AbstractThis course will illustrate how different tracers and isotopes are used in natural systems. Here especially the processes (transformation, timescales) that take place and can be revealed by tracers/isotopes will be demonstrated.
Learning objectiveStudents know how to use tracers/isotopes to investigate/understand ecosystems
They will understand the methods and analytical devices related to tracer/isotope work
Have a feeling for timescales on which natural processes occur
Students will be able to apply different sampling techniques in aquatic sciences
ContentBasics:
O,H isotopes as tracers for mixing in aquatic systems
Carbon isotopes as tracer for methane oxidation
210Pb, 137Cs as a tracer for sedimentation rate/mixing
SF6, Neon, He as tracers for exchange processes at the air/water interface

Case assessment:
Sampling of a Swiss lake (Rotsee)
Sampling techniques for different elements
Sample preparation for different techniques
Measurements at isotope mass spectrometer/gamma counter
Interpretation of results from the special sampling campaign and in a broader context
Prerequisites / NoticeSampling will take place in Rotsee (Lucerne). We will have 3 laboratory days at Eawag Kastanienbaum, 1 laboratory day at Eawag Duebendorf, and 2 days of preparation of a presentation and the presentation itself at ETH (Center). The presentation will be evaluated and is necessary to pass the class.
701-1337-00LForest Soils in a Changing EnvironmentW3 credits4PF. Hagedorn, P. F. Schleppi
AbstractThe students are measuring carbon and nutrient fluxes in forest soils under a changing climate and land-use. In laboratory and field experiments, they are manipulating climatic conditions (temperature, drought) and quantify the response of C and N fluxes in soils, and plant-soil interactions. The results will be interpreted and discussed in the context of changes in climate and land-use.
Learning objectiveThe students get first-hand experience with field and laboratory methods to measure carbon and nutrient fluxes and the application of stable isotope techniques. They shall learn about physico-chemical properties of Swiss forest soils, how these properties determine the ecological functions of soils and how soils respond to changes in climate and land-use. Finally the students shall interpret, discuss and present their experimental data.
Content1. Introduction to the ecological functions of Swiss forest soils
2. Measurement of soil CO2 efflux, carbon and nutrient leaching in forest and grassland soils
3. Sampling and preparation of litter and soil samples from selected soil profiles under different land-uses
4. Setting-up laboratory experiments in microcosms. Measurement of soil respiration and leaching of carbon, nutrients and/or contaminants in climate chambers under different environmental conditions.
5. Analyses of litter, soil, and soil water for selected physical and chemical properties.
6. Learning and applying stable isotope techniques for quantifying turnover of soil carbon and their microbial communities.
7. Interpretation and final presentation of data
Lecture notesA manual will be distributed during the course.
LiteratureSelected publications will be distributed during the course.
701-1339-00LSoil Solids Laboratory Restricted registration - show details
Number of participants limited to 12.
Waiting list will be deleted 22.09.2022.
W3 credits4GM. Plötze
AbstractThe main part of the course is the investigation of real samples of soils/sediments in the lab working in groups. A brief theoretical introduction into the overall principle and the meaning of physical, mineralogical and chemical parameters of soils and sediments and into each analytical method for their investigation will be given in advance.
Learning objectiveUpon successful completion of this course students are able to:
- describe structural, mineralogical and chemical properties of the inorganic solid part of soils and sediments,
- propose and apply different advanced methods and techniques to measure these properties,
- critically assess the data and explain the relationships between them,
- communicate the results in a scientific la report.

The competencies of process understanding, system understanding, concept development, and measurement methods are taught and assessed.
ContentBasic introduction to mineralogy and texture of soils
Analytical techniques
Practical exercises in sample preparation
Measurement and evaluation of the data:
- physical parameters (grain size distribution, surface, densities, porosity, (micro)structur)
- mineralogical/geochemical parameters (quantitative mineralogical composition, thermal analysis, cation exchange etc.)
Lecture notesSelected handouts will be distributed during the course.
LiteratureJasmund, K. , Lagaly, G. 1993. Tonminerale und Tone. Steinkopff: Darmstadt.
Scheffer, F. 2002. Lehrbuch der Bodenkunde / Scheffer/Schachtschabel. Spektrum: Heidelberg. 15. Aufl.
Dixon, J.B., Weed, S.B. 1989. Minerals in Soil Environments. SSSA Book Series: 1, 2nd Edition.
Sparks, D.L. 1996: Chemical Methods. SSSA Book Series 5, Part 3.
Dane, J.H., Topp, G.C. 2002: Physical Methods. SSSA Book Series 5, Part 4.
Ulery, A.L. & Drees, L.R. 2008: Mineralogical Methods. SSSA Book Series 5, Part 5.
Prerequisites / NoticeIn order to allow for effective lab work not more than 12 students can join the course.

Useful preparatory courses are: "Soil Chemistry", "“Clays in Geotechnics"”, and "“X-ray powder diffraction”".
701-1673-00LEnvironmental Measurement Laboratory Restricted registration - show details
Number of participants limited to 24.

Waiting list will be deleted 23.09.2022.
W5 credits4GP. U. Lehmann Grunder, A. Carminati
AbstractMeasurements are the sole judge of scientific truth and provide access to unpredictable information, enabling the characterization and monitoring of complex terrestrial systems. Based on lectures and field- and laboratory training, the students learn to apply modern methods to determine forest inventory parameters and to measure subsurface properties and processes.
Learning objectiveThe students will be able to:
- explain measurement principles that are used for characterization of landscapes and terrestrial systems
- select appropriate measurement methods and sampling design to quantify key variables and processes above ground and in the subsurface
- deploy sensors in the field
- interpret collected laboratory and field data and report main conclusions deduced from measurements
ContentWeek 1: Plant-Soil interactions – short introduction before sensor demonstration and installation in forest lab; Scholander pressure bomb (suction in leaves); LiCOR soil chamber

Week 2: Lecture on Measurement Science, overview of water content and water potential sensors; data logging and data logger programming; tests in the lab

Week 3: Introduction on soil physics; Field installation of sensors and field experiment; data collection for a few days; solar panel

Week 4: Soil sampling in field lab including geoprobe measurements

Week 5: Introduction on forest lab - Soil sampling in forest lab; root length density;

Week 6: Lecture on geophysical methods on Subsurface Characterization: Basic principles of ERT, GPR, and EM; simple lab tests on effective resistivity

Week 7: Demonstration and application of geophysical methods in the field

Week 8: Lecture on plant soil relationship; connecting information below and above ground – data analysis

Weeks 9 and 10: Forest characterization/ inventory: Principles of LiDAR; structures and features of the tree crowns, size/volume of the leaf area tree positions and diameters at breast height

Weeks 11 and 12: Eddy covariance methods -Principles for field measurement of water vapor, carbon dioxide, and energy exchange between terrestrial surfaces and the atmosphere; Analysis of measured time series to determine evaporation rate and CO2-fluxes

Week 13: Swiss Soil Monitoring networks – Monitoring of soil water content and potential; climate change and droughts

Week 14: Global data – Global modeling and data interpretation; SoilGrids and OpenLandMap; exercises on Budyko analysis
LiteratureLecture material will be online for registered students using moodle
Prerequisites / NoticeThe details of the schedule will be optimized based on the number of students; some blocks of the course will be offered as well to students of Environmental Engineering
Seminar and Semester Paper
NumberTitleTypeECTSHoursLecturers
701-1302-00LTerm Paper 2: Seminar Restricted registration - show details
Prerequisite: Term Paper 1: Writing (701-1303-00L).

Only for Environmental Sciences MSc and Science, Technology and Policy MSc.
O2 credits1SL. Winkel, M. Ackermann, N. Casacuberta Arola, K. Deiner, N. Gruber, J. Hering, R. Kipfer, R. Kretzschmar, K. McNeill, D. Mitrano, A. N'Guyen van Chinh, M. Sander, M. H. Schroth, C. Schubert
AbstractThis class is the 2nd part of a series and participation is conditional on the successful completion of "Term Paper 1: Writing". The results from the term paper written during the previous term are presented to the other students and advisors and discussed with the audience.
Learning objectiveThe goal of the term paper seminars is to train the student's ability to communicate (scientific) results to a wider audience and the ability to respond to questions and comments.
ContentEach student presents the results of their term paper to fellow students and advisors and responds to questions and comments from the audience.
Lecture notesGuidelines and supplementary material are distributed on the Moodle platform.
Prerequisites / NoticeThere is no final exam. Grade is assigned based on the quality of the presentation and ensuing discussion.

To obtain the credits, it is mandatory to attend at least 60% of all seminar dates offered in the fall and spring semester. Active participation in discussion and feedback rounds is expected.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesfostered
Social CompetenciesCommunicationassessed
Personal CompetenciesCreative Thinkingfostered
Critical Thinkingassessed
701-1303-00LTerm Paper 1: Writing Restricted registration - show details
Only for Environmental Sciences MSc and Science, Technology and Policy MSc.
O5 credits6AL. Winkel, M. Ackermann, N. Casacuberta Arola, K. Deiner, N. Gruber, J. Hering, R. Kipfer, R. Kretzschmar, K. McNeill, D. Mitrano, A. N'Guyen van Chinh, M. Sander, M. H. Schroth, C. Schubert
AbstractThe ability to critically evaluate original (scientific) literature and to summarise the information in a succinct manner is an important skill for any student. This course aims to practice this ability, requiring each student to write a term paper of scientific quality on a topic of relevance for research in the areas of biogeochemistry and pollutant dynamics.
Learning objectiveThe goal of the term paper is to train the student's ability to critically evaluate scientific literature and to summarise the findings concisely in a paper addressing a research question.

At the end of the course, students will be able to:
- narrow down a research question.
- identify relevant literature to address the research question.
- concisely summarise and critically evaluate their findings.
- formulate key outstanding questions.
ContentEach student is expected to write a paper with a length of approximately 15-20 pages. The students can choose from a list of topics prepared by the tutors, but the final topic will be determined based on a balance of choice and availability. The students will be guided and advised by their tutors throughout the term.

The paper itself should contain the following elements:
- Motivation and context of the given topic (25%)
- Concise presentation and critical evaluation of the state of the science (50%)
- Identification of open questions and perhaps opportunities for further research (25%)

In addition, the accurate use of citations, attribution of ideas, and the judicious use of figures, tables, equations and references are critical components of a successful paper. Specialised knowledge is not expected, nor required; neither is new research.
Lecture notesGuidelines and supplementary material are distributed on the Moodle platform.
LiteratureOriginal scientific literature will be identified based on the chosen topic.
Prerequisites / NoticePlease enrol latest until the first week of the semester. Contact termpaper(at)env.ethz.ch if you don't yet have access to MyStudies.

The term paper course is primarily aimed at master students majoring in biogeochemistry & pollutant dynamics and ISTP students with a solid background in natural sciences and a strong interest in biogeochemistry & pollutant dynamics.

Each student submits a term paper that will be reviewed by one fellow student and one faculty. The submission of the term paper and a written review of another student's term paper are a condition for obtaining the credit points.

There is no final exam. The grade is assigned based on the quality of the term paper and the submitted review as well as on the presentation in the following term.

Results from the term paper will be presented to fellow students and involved faculty in the following semester ("Term Paper 2: Seminar").
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesassessed
Social CompetenciesCommunicationassessed
Personal CompetenciesCritical Thinkingassessed
Self-direction and Self-management fostered
Electives
NumberTitleTypeECTSHoursLecturers
701-3001-00LEnvironmental Systems Data Science: Data Processing Restricted registration - show details
**Students who have taken 701-3001-00L Environmental Systems Data Science in autumn semester 2020 or 21 are not allowed to take this lecture. The content is similar.**

Number of participants is limited to 80.

Course registration starts on 31.08.2022.
Priority is given to the target groups until 23.09.2022,

Target groups
Agricultural Sciences MSc
Environmental Sciences MSc
Atmospheric and Climate Science MSc
Environmental Sciences PhD
Agricultural Sciences PhD

Waiting list will be deleted on 30.09.2022
W2 credits2GL. Pellissier, E. J. Harris, J. Payne, M. Volpi
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.
Learning 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
701-3003-00LEnvironmental Systems Data Science: Machine Learning Restricted registration - show details
Number of participants is limited to 80.

Course registration starts on 31.08.2022.
Priority is given to the target groups until 23.09.2022,

Target groups
Agricultural Sciences MSc
Environmental Sciences MSc
Atmospheric and Climate Science MSc
Environmental Sciences PhD
Agricultural Sciences PhD

Waiting list will be deleted on 30.09.2022
W3 credits2GL. Pellissier, E. J. Harris, J. Payne, M. Volpi
AbstractStudents are introduced to advanced data science where environmental data are analyzed using state of the art machine learning methods. Starting from known statistical approaches, they learn the principle of more advanced machine learning methods with practical application. The course enables students to plan their own data science project in their specialization and to apply machine learning mode
Learning objectiveThe students are able to
• select an appropriate model related to a research question and dataset
• describe the steps from data preparation to running and evaluating models
• prepare data for running machine learning with dependent and independent variable
• build and validate regressions and neural network models
• understand convolution and deep learning models
• access online resources to keep up with the latest data science methodology and deepen their understanding
Content• The data science workflow
• Data preparation for running and validating machine learning models
• Get to know machine learning approaches including regression, random forest and neural network
• Model complexity and hyperparameters
• Model parameterization and loss
• Model evaluations and uncertainty
• Deep learning with convolutions
LiteratureBuilding on existing data science resources
Prerequisites / NoticeMath IV, VI (Statistics); R, Python; ESDS I
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