Search result: Catalogue data in Autumn Semester 2024
Environmental Engineering Bachelor ![]() | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||
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401-0141-00L | Linear Algebra ![]() | O | 5 credits | 4V + 1U | M. Akka Ginosar, R. Prohaska | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | Introduction to Linear Algebra | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | Basic knowledge of linear algebra as a tool for solving engineering problems. Understanding of abstract mathematical formulation of technical and scientific problems. Together with Analysis we develop the basic mathematical knowledge for an engineer. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | Introduction and linear systems of equations, matrices, quadratic matrices, determinants and traces, general vector spaces, linear mappings, bases, diagonalization, eigenvalues and eigenvectors, orthogonal transformations, scalar-product, inner product spaces, Gram-Schmidt process. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | The lecturer will provide course notes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | K. Nipp, D. Stoffer, Lineare Algebra, VdF Hochschulverlag ETH G. Strang, Lineare Algebra, Springer Larson, Ron. Elementary linear algebra. Nelson Education, 2016. (Englisch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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252-0845-00L | Computer Science I ![]() | O | 5 credits | 2V + 2U | M. Lüthi, A. Streich | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | The course covers the basic concepts of computer programming. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | Basic understanding of programming concepts. Students will be able to write and read simple programs and to modify existing programs. In the course "Computer Science I", the competency of programming is taught, applied and examined. Furthermore modeling is taught and applied. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | variables, types, control structures, functions, scoping, recursion, object-oriented programming. The programming language is Python. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | The slides and lecture notes will be made available for download on the course website. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | Learn to Code by Solving Problems A Python Programming Primer Daniel Zingaro Python Crash Course A Hands-On, Project-Based Introduction to Programming Eric Matthes Python for Data Analysis Data wrangling with pandas, NumPy & Jupyter, 3rd Edition Wes McKinney | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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701-0243-01L | Biology III: Essentials of Ecology | O | 3 credits | 2V | J. Alexander | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | This introductory lecture in ecology covers basic ecological concepts and the most important levels of complexity in ecological research. Ecological concepts are exemplified by using aquatic and terrestrial systems; corresponding methodological approaches are demonstrated. Threats to biodiversity and the appropriate management are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | The objective of this lecture is to teach basic ecological concepts and the different levels of complexity in ecological research. The students should learn ecological concepts at these different levels in the context of concrete examples from terrestrial and aquatic ecology. Corresponding methods for studying the systems will be presented. A further aim of the lecture is that students achieve an understanding of biodiversity, why it is threatened and how it can be managed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | - Biodiversity: variation, threats and conservation - Influence of environmental factors on organisms; adaptation to environmental conditions - Population dynamics: causes, description, prediction and regulation - Interactions between species (competition, coexistence, predation, parasitism, food webs) - Ecological communities: structure, stability, succession - Ecosystems: compartments, material and energy flows | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | Documents, lecture slides, exercises and relevant literature are available in Moodle. The documents for the next lecture will be available on Friday morning at the latest. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | Required reading: Begon, M.E., Howarth, R.W., Townsend, C.R. (2017): Ökologie. 3. Aufl. Springer Verlag, Berlin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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151-0223-10L | Engineering Mechanics | O | 4 credits | 2V + 2U + 1K | P. Tiso | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | Introduction to engineering mechanics: kinematics, statics and dynamics of rigid bodies and systems of rigid bodies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | By learning the basics of kinematics, statics and dynamics, students should gain a basic understanding of the subject matter with which simple problems in engineering mechanics can be analyzed and solved. Based on this, further lectures, which require knowledge of mechanics, can be attended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | Basic notions: position and velocity of particles, rigid bodies, planar motion, kinematics of rigid bodies, force, torque, power. Statics: static equivalence, center of forces, centroid, principle of virtual power, equilibrium, constraints, analytical statics, friction. Dynamics: acceleration, inertial forces, d'Alembert's Principle, Newton's Second Law, principles of linear and angular momentum, equations of planar motion of rigid bodies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | yes, in German | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | M. B. Sayir, J. Dual, S. Kaufmann, E. Mazza: Ingenieurmechanik 1, Grundlagen und Statik. Springer Vieweg, Wiesbaden, 2015. M. B. Sayir, S. Kaufmann: Ingenieurmechanik 3, Dynamik. Springer Vieweg, Wiesbaden, 2014. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||
401-0241-00L | Analysis I | O | 7 credits | 4V + 2U | M. Akveld, G.‑I. Ionita | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | Mathematical tools for the engineer | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | Mathematics as a tool to solve engineering problems. Mathematical formulation of technical and scientific problems. Basic mathematical knowledge for engineers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | Complex numbers. Calculus for functions of one variable with applications. Simple Mathematical models in engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | Wird auf der Vorlesungshomepage zu Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | Klaus Dürrschnabel, "Mathematik für Ingenieure - Eine Einführung mit Anwendungs- und Alltagsbeispielen", Springer; online verfügbar unter: http://link.springer.com/book/10.1007/978-3-8348-2559-9/page/1 Tilo Arens et al., "Mathematik", Springer; online verfügbar unter: http://link.springer.com/book/10.1007/978-3-642-44919-2/page/1 Meike Akveld und Rene Sperb, "Analysis 1", vdf; http://vdf.ch/index.php?route=product/product&product_id=1706 Urs Stammbach, "Analysis I/II" (erhältlich im ETH Store); https://people.math.ethz.ch/~stammb/analysisskript.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||
529-2001-02L | Chemistry I | O | 4 credits | 2V + 2U | J. Cvengros, J. E. E. Buschmann, P. Funck, R. Verel | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | General Chemistry I: Chemical bond and molecular structure, chemical thermodynamics, chemical equilibrium. In the course "Chemistry I", the competencies of process understanding, system understanding, modeling, concept development and data analysis & interpretation are taught, applied and examined. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | Introduction to general and inorganic chemistry. Basics of the composition and the change of the material world. Introduction to the thermodynamically controlled physico-chemical processes. Macroscopic phenomena and their explanation through atomic and molecular properties. Using the theories to solve qualitatively and quantitatively chemical and ecologically relevant problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | 1. Stoichiometry Amount of substance and mass. Composition of chemical compounds. Reaction equation. Ideal gas law. 2. Atoms Elementary particles and atoms. Electron configuration of the elements. Periodic system. 3. Chemical bonding and its representation. Spatial arrangement of atoms in molecules. Molecular orbitals. 4. Basics of chemical thermodynamics System and surroundings. Description of state and change of state of chemical systems. 5. First law of thermodynamics Internal energy. Heat and Work. Enthalpy and reaction enthalpy. 6. Second law of thermodynamics Entropy. Change of entropy in chemical systems and universe. Reaction entropy. 7. Gibbs energy and chemical potential. Combination of laws of thermodynamics. Gibbs energy and chemical reactions. Activities of gases, condensed substances and species in solution. Equilibrium constant. 8. Chemical equilibrium Law of mass action. Reaction quotient and equilibrium constant. Phase transition equilibrium. 9. Acids and bases Properties of acids and bases. Dissociation of acids and bases. pH and the calculation of pH-values in acid-base systems. Acid-base diagrams. Buffers. Polyprotic acids and bases. 10. Dissolution and precipitation. Heterogeneous equilibrium. Dissolution and solubility product. Carbon dioxide-carbonic acid-carbonate equilibrium. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | Online-Skript mit durchgerechneten Beispielen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | Charles E. Mortimer, CHEMIE - DAS BASISWISSEN DER CHEMIE. 12. Auflage, Georg Thieme Verlag Stuttgart, 2015. Weiterführende Literatur: Theodore L. Brown, H. Eugene LeMay, Bruce E. Bursten, CHEMIE. 10. Auflage, Pearson Studium, 2011. (deutsch) Catherine Housecroft, Edwin Constable, CHEMISTRY: AN INTRODUCTION TO ORGANIC, INORGANIC AND PHYSICAL CHEMISTRY, 3. Auflage, Prentice Hall, 2005.(englisch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||
102-0004-00L | Introduction into Environmental Engineering ![]() | O | 3 credits | 2G | P. Molnar, R. Boes, I. Hajnsek, S. Hellweg, J. P. Leitão Correia , M. Maurer, S. Pfister, J. Slomka, J. Wang | |||||||||||||||||||||||||||||||||||||||||||||||||
Abstract | In this course students are introduced to how environmental problems in the areas of water quantity and quality, waste production and recycling, air pollution control, are formulated and solved with engineering methods. The course makes a connection between the theoretical Bachelor foundation classes and practical topics of environmental engineering in six main thematic areas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning objective | After completing this course, the student will be able to: - formulate key global environmental problems - develop a systems perspective and solutions to the problems (critical thinking) - identify and solve simple numerical problems in the domain areas - understand why/how we use data/models in environmental engineering - develop own interest in the domain areas and see career opportunities | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Content | Topics of study: 0. Introduction – description of the Earth System, main stressors, global warming, introduction into the methods and goals of environmental engineering. 1. Water Science & Engineering – definition of the global water cycle and hydrological regimes, surface/subsurface flow equations (advection, diffusion), water resources management, climate change. 2. Resource Management & Recovery – waste management, recycling, resource recovery, lifecycle assessment, water and carbon footprints. 3. Urban Water Technology – water quality parameters, municipal water and wastewater treatment processes and technologies, urban water systems (infrastructure). 4. River and Hydraulic Engineering – utility hydraulic engineering (hydropower production), protective hydraulic engineering (flood protection), waters protection (river restoration, ecological measures at hydropower plants). 5. Air Quality – air quality parameters, main air pollutants, air quality in cities/indoor, emission control, the plume dispersion model. 6. Earth Observation – satellite observation of the Earth System from space, methods, environmental applications (glaciers, forest, land surface change) | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Lecture notes | Course will take place in English and German (bilingual). The English textbook by Masters and Ela (see below) will be complemented by instructors materials to the individual thematic topics. Lecture presentations will be the main study material. There is no formal Script. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature | - Masters, G.M., & Ela, W.P. (2014). Introduction to Environmental Engineering and Science, Third Edition, Prentice Hall, 692 pp, https://ebookcentral.proquest.com/lib/ethz/reader.action?docID=5831826 - lecture presentations and selected papers | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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