Search result: Course units in Autumn Semester 2020

Computer Science Bachelor Information
Minor Courses
5. Semester
NumberTitleTypeECTSHoursLecturers
102-0227-00LSystems Analysis and Mathematical Modeling in Urban Water Management Information Restricted registration - show details
Number of participants limited to 50.
W6 credits4GE. Morgenroth, M. Maurer
151-0573-00LSystem Modeling Information W4 credits2V + 1UL. Guzzella
151-0575-01LSignals and Systems Information W4 credits2V + 2UA. Carron
151-0591-00LControl Systems I Information W4 credits2V + 2UL. Guzzella
151-0601-00LTheory of Robotics and Mechatronics Information W4 credits3GP. Korba, S. Stoeter
151-0709-00LStochastic Methods for Engineers and Natural Scientists Restricted registration - show details
Number of participants limited to 20.
W4 credits4GD. W. Meyer-Massetti
227-0076-00LElectrical Engineering IIW4 credits2V + 2UC. Studer
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAs Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0731-00LPower Market I - Portfolio and Risk ManagementW6 credits4GD. Reichelt, G. A. Koeppel
227-0945-00LCell and Molecular Biology for Engineers I
This course is part I of a two-semester course.
W3 credits2GC. Frei
227-2037-00LPhysical Modelling and SimulationW6 credits4GJ. Smajic
351-0778-00LDiscovering Management
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC. This course can be complemented with Discovering Management (Excercises) 351-0778-01.
W3 credits3GB. Clarysse, S. Brusoni, S. Feuerriegel, G. Grote, V. Hoffmann, T. Netland, G. von Krogh
351-0778-01LDiscovering Management (Exercises)
Complementary exercises for the module Discovering Managment.

Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory.
W1 credit1UB. Clarysse, L. De Cuyper
351-1138-00LPRISMA Capstone - Rethinking Sustainable Cities and Communities Restricted registration - show details
Due to didactic reasons, the number of participants is limited to 30.

All interested students are invited to attend the first day of class.
Additionally please enroll via mystudies. Please note that all students are put on the waiting list and that your current position on the waiting list is irrelevant, as places will be assigned after the first lecture on the basis of your interest and commitment for the class.
W4 credits5VA. Cabello Llamas
363-0541-00LSystems Dynamics and ComplexityW3 credits3GF. Schweitzer
363-1082-00LEnabling Entrepreneurship: From Science to Startup Restricted registration - show details
Students should provide a brief overview (unto 1 page) of their business ideas that they would like to commercialise through the course. If they do not have an idea, they are required to provide a motivation letter stating why they would like to do this elective. If you are unsure about the readiness of your idea or technology to be converted into a startup, please drop me a line to schedule a call or meeting to discuss.

The total number of students will be limited to 40. It is preferable that the students already form teams of at least two persons, where both the team-members would like to do the course. The names of the team-members should be provided together with the business idea or the motivation letter submitted by the students.

The students should submit the necessary information and apply to Link until 23 August 2020.
W3 credits2VA. Sethi
363-1109-00LIntroduction to Microeconomics
GESS (Science in Perspective):
This course is only for students enrolled in a Bachelor’s degree programme.

Students enrolled in a Master’s degree programme may attend “Principles of Microeconomics” (LE 363-0503-00L) instead.

Note for D-MAVT students: If you have already successfully completed “Principles of Microeconomics” (LE 363-0503-00L), then you will not be permitted to attend it again.
W3 credits2GM. Wörter, M. Beck
376-1177-00LHuman Factors IW3 credits2VM. Menozzi Jäckli, R. Huang, M. Siegrist
401-0353-00LAnalysis 3 Information Restricted registration - show details W4 credits2V + 2UM. Iacobelli
401-0625-01LApplied Analysis of Variance and Experimental DesignW5 credits2V + 1UL. Meier
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