Ralf Sasse: Catalogue data in Autumn Semester 2021

Name Dr. Ralf Sasse
Address
Lehre D-INFK
ETH Zürich, CAB H 33.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 53 89
E-mailralf.sasse@inf.ethz.ch
DepartmentComputer Science
RelationshipLecturer

NumberTitleECTSHoursLecturers
252-0845-00LComputer Science I Information 5 credits2V + 2UC. Cotrini Jimenez, R. Sasse
AbstractThe course covers the basic concepts of computer programming.
ObjectiveBasic understanding of programming concepts. Students will be able to write and read simple programs and to modify existing programs.
ContentVariablen, Typen, Kontrollanweisungen, Prozeduren und Funktionen, Scoping, Rekursion, dynamische Programmierung, vektorisierte Programmierung, Effizienz.
Als Lernsprache wird Java eingesetzt.
LiteratureSprechen Sie Java?
Hanspeter Mössenböck
dpunkt.verlag
252-0846-AALComputer Science II Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
4 credits9RF. Friedrich Wicker, R. Sasse
AbstractIntroduction to programming in Java. Procedural foundations of programming and outlook to object oriented programming. Variables, types, assignments, control structures (branch, loop), data structures, algorithms, line graphics, graphical user interface. Writing small programs. Working with a professional programming environment (Eclipse).
ObjectiveThe students will be able to write simple programs and to modify existing programs.
ContentThis course offers an introduction to variables, control structures (branch, loop), algorithms and data structures, as well as an outlook to modularisation and object oriented techniques.
In the exercises students train programming skills (in the programming language JAVA). Students can solve the exercises on their own laptop or in the computer labs at ETH. The software used in this course runs on MS Windows, MacOS X and Linux.
Prerequisites / NoticePrerequisites:
252-0845-00 Computer Science I (D-BAUG)
252-0847-00LComputer Science Information 5 credits2V + 2UR. Sasse, F. Friedrich Wicker
AbstractThe course covers the fundamental concepts of computer programming with a focus on systematic algorithmic problem solving. Taught language is C++. No programming experience is required.
ObjectivePrimary educational objective is to learn programming with C++. After having successfully attended the course, students have a good command of the mechanisms to construct a program. They know the fundamental control and data structures and understand how an algorithmic problem is mapped to a computer program. They have an idea of what happens "behind the scenes" when a program is translated and executed. Secondary goals are an algorithmic computational thinking, understanding the possibilities and limits of programming and to impart the way of thinking like a computer scientist.
ContentThe course covers fundamental data types, expressions and statements, (limits of) computer arithmetic, control statements, functions, arrays, structural types and pointers. The part on object orientation deals with classes, inheritance and polymorphism; simple dynamic data types are introduced as examples. In general, the concepts provided in the course are motivated and illustrated with algorithms and applications.
Lecture notesEnglish lecture notes will be provided during the semester. The lecture notes and the lecture slides will be made available for download on the course web page. Exercises are solved and submitted online.
LiteratureBjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010
Stephen Prata, C++ Primer Plus, Sixth Edition, Addison Wesley, 2012
Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000
252-0856-AALComputer Science Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
4 credits9RF. Friedrich Wicker, R. Sasse
AbstractDie Vorlesung bietet eine Einführung in das Programmieren mit einem Fokus auf systematischem algorithmischem Problemlösen. Lehrsprache ist C++. Es wird keine Programmiererfahrung vorausgesetzt.
ObjectivePrimäres Lernziel der Vorlesung ist die Befähigung zum Programmieren mit C++. Studenten beherrschen nach erfolgreichem Abschluss der Vorlesung die Mechanismen zum Erstellen eines Programms, sie kennen die fundamentalen Kontrollstrukturen, Datenstrukturen und verstehen, wie man ein algorithmisches Problem in ein Programm abbildet. Sie haben eine Vorstellung davon, was "hinter den Kulissen" passiert, wenn ein Programm übersetzt und ausgeführt wird.
Sekundäre Lernziele der Vorlesung sind das Computer-basierte, algorithmische Denken, Verständnis der Möglichkeiten und der Grenzen der Programmierung und die Vermittlung der Denkart eines Computerwissenschaftlers.
ContentWir behandeln fundamentale Datentypen, Ausdrücke und Anweisungen, (Grenzen der) Computerarithmetik, Kontrollanweisungen, Funktionen, Felder, zusammengesetze Strukturen und Zeiger. Im Teil zur Objektorientierung werden Klassen, Vererbung und Polymorhpie behandelt, es werden exemplarisch einfache dynamische Datentypen eingeführt.
Die Konzepte der Vorlesung werden jeweils durch Algorithmen und Anwendungen motiviert und illustriert.
Lecture notesEin Skript in englischer Sprache wird semesterbegleitend herausgegeben. Das Skript und die Folien werden auf der Vorlesungshomepage zum Herunterladen bereitgestellt.
LiteratureBjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010
Stephen Prata: C++ Primer Plus, Sixth Edition, Addison Wesley, 2012
Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000.
252-0856-00LComputer Science Information 4 credits2V + 2UF. Friedrich Wicker, R. Sasse
AbstractThe course covers the fundamental concepts of computer programming with a focus on systematic algorithmic problem solving. Taught language is C++. No programming experience is required.
ObjectivePrimary educational objective is to learn programming with C++. After having successfully attended the course, students have a good command of the mechanisms to construct a program. They know the fundamental control and data structures and understand how an algorithmic problem is mapped to a computer program. They have an idea of what happens "behind the scenes" when a program is translated and executed. Secondary goals are an algorithmic computational thinking, understanding the possibilities and limits of programming and to impart the way of thinking like a computer scientist.
ContentThe course covers fundamental data types, expressions and statements, (limits of) computer arithmetic, control statements, functions, arrays, structural types and pointers. The part on object orientation deals with classes, inheritance and polymorphism; simple dynamic data types are introduced as examples. In general, the concepts provided in the course are motivated and illustrated with algorithms and applications.
Lecture notesEnglish lecture notes will be provided during the semester. The lecture notes and the lecture slides will be made available for download on the course web page. Exercises are solved and submitted online.
LiteratureBjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010
Stephen Prata, C++ Primer Plus, Sixth Edition, Addison Wesley, 2012
Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000