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Computer Science II
Last Updated: 2026-02-05 15:42:11
Abstract
Together with the introductory course Informatics I this course provides the foundations of programming and databases. This course particularly covers algorithms and data structures and basics about design and implementation of databases. Programming language used in this course is Java.
Objective
Basing on the knowledge covered by lecture Informatics I, the primary educational objectives of this course are - constructive knowledge of data structures and algorithms amd - the knowledge of relational databases and When successfully attended the course, students have a good command of the mechanisms to construct an object oriented program. They know the typically used control and data structures and understand how an algorithmic problem is mapped to a sufficiently efficient computer program. They have an idea of what happens "behind the secenes" when a program is translated and executed. The know how to write database queries and how to design simple databases. Secondary goals are an algorithmic computational thinking, undestanding the possibilities and limits of programming and to impart the way of thinking of a computer scientist.
Content
We discuss the paradigm of object oriented programming, typical data structures and algorithms and design principles for the design and usage of relational databases. More generally, formal thinking and the need for abstraction and importance of appropriate modelling capabilities will be motivated. The course emphasizes applied computer science. Concrete topics are complexity of algorithms, divide and conquer-principles, recursion, sort- and search-algorithms, backtracking, data structures (lists, stacks, queues, trees) and data management in relational data bases.
Resources
Lecture Notes
The slides will be available for download on the course home page.
Literature
Robert Sedgewick, Kevin Wayne, Introduction to Programming in Java: An Interdisciplinary Approach, Addison-Wesley, 2008 T. Cormen, C. Leiserson, R. Rivest, C. Stein, Introduction to Algorithms , 3rd ed., MIT Press, 2009
Learning Materials (Links)
- Main link
- Vorlesungshomepage
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- session examination
- Mode
- written 90 minutes
- Aids
- Sie dürfen maximal 4 A4-Blätter mit in die Prüfung nehmen.Inhaltliche und formale Anforderungen (Text, Bilder, ein-/doppelseitig, Ränder, Schriftgrösse, etc.) bestehen nicht. Elektronische Geräte bzw.digitale Unterlagen sind nicht erlaubt. /You may take up to 4 A4 sheets into the exam. There are no constraints regarding content and layout (text, images, single/double page, margins, font size, etc.). Electronic devices and digital documents are not allowed.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| revision course / private study |
Informatics II
Self-study course. No presence required.
|
No time listed | 120 h semesterly |
Offered In
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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