Manuela Fischer: Catalogue data in Autumn Semester 2022 |
| Name | Dr. Manuela Fischer |
| Address | Lehre D-INFK ETH Zürich, CAB H 33.1 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 74 61 |
| manuela.fischer@inf.ethz.ch | |
| URL | http://people.inf.ethz.ch/fiscmanu/ |
| Department | Computer Science |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 252-0832-00L | Computer Science I  | 4 credits | 2V + 2U | M. Fischer, R. Sasse | |||||||||||||||||
| Abstract | The 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. | ||||||||||||||||||||
| Learning objective | Primary educational objective is to learn programming with C++. When 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 of a computer scientist. | ||||||||||||||||||||
| Content | The 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 polymorphy, 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 notes | A script written in English will be provided during the semester. The script and slides will be made available for download on the course web page. | ||||||||||||||||||||
| Literature | Bjarne 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. | ||||||||||||||||||||
| 252-0845-00L | Computer Science I | 5 credits | 2V + 2U | C. Cotrini Jimenez, M. Fischer | |||||||||||||||||
| 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 | ||||||||||||||||||||
| Competencies |
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| 252-0846-AAL | Computer Science II 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 credits | 9R | M. Fischer, R. Sasse | |||||||||||||||||
| Abstract | Introduction 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). | ||||||||||||||||||||
| Learning objective | In the course "Computer Science II", the competencies of programming, modeling and data analysis & interpretation are taught, applied and examined. The students will be able to write simple programs and to modify existing programs. | ||||||||||||||||||||
| Content | This 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 / Notice | Prerequisites: 252-0845-00 Computer Science I (D-BAUG) | ||||||||||||||||||||