Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
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Suchergebnis: Katalogdaten im Herbstsemester 2018

Rechnergestützte Wissenschaften Bachelor Information
Bachelor-Studium (Studienreglement 2018)
Grundlagenfächer
Block G2
NummerTitelTypECTSUmfangDozierende
401-0603-00LStochastik Information O4 KP2V + 1UM. H. Maathuis
KurzbeschreibungDie Vorlesung deckt folgende Themenbereiche ab: Zufallsvariablen, Wahrscheinlichkeit und Wahrscheinlichkeitsverteilungen, gemeinsame und bedingte Wahrscheinlichkeiten und Verteilungen, das Gesetz der Grossen Zahlen, der zentrale Grenzwertsatz, deskriptive Statistik, schliessende Statistik, Statistik bei normalverteilten Daten, Punktschätzungen, und Vergleich zweier Stichproben.
LernzielKenntnis der Grundlagen der Wahrscheinlichkeitstheorie und Statistik.
InhaltEinführung in die Wahrscheinlichkeitstheorie, einige Grundbegriffe der mathematischen Statistik und Methoden der angewandten Statistik.
SkriptVorlesungsskript
LiteraturVorlesungsskript
402-0811-00LProgramming Techniques for Scientific Simulations IO5 KP4GR. Käppeli
KurzbeschreibungThis lecture provides an overview of programming techniques for scientific simulations. The focus is on advances C++ programming techniques and scientific software libraries. Based on an overview over the hardware components of PCs and supercomputer, optimization methods for scientific simulation codes are explained.
Lernziel
252-0061-00LSystems Programming and Computer Architecture Information O7 KP4V + 2UT. Roscoe
KurzbeschreibungIntroduction to systems programming. C and assembly language,
floating point arithmetic, basic translation of C into assembler,
compiler optimizations, manual optimizations. How hardware features
like superscalar architecture, exceptions and interrupts, caches,
virtual memory, multicore processors, devices, and memory systems
function and affect correctness, performance, and optimization.
LernzielThe course objectives are for students to:

1. Develop a deep understanding of, and intuition about, the execution
of all the layers (compiler, runtime, OS, etc.) between programs in
high-level languages and the underlying hardware: the impact of
compiler decisions, the role of the operating system, the effects
of hardware on code performance and scalability, etc.

2. Be able to write correct, efficient programs on modern hardware,
not only in C but high-level languages as well.

3. Understand Systems Programming as a complement to other disciplines
within Computer Science and other forms of software development.

This course does not cover how to design or build a processor or
computer.
InhaltThis course provides an overview of "computers" as a
platform for the execution of (compiled) computer programs. This
course provides a programmer's view of how computer systems execute
programs, store information, and communicate. The course introduces
the major computer architecture structures that have direct influence
on the execution of programs (processors with registers, caches, other
levels of the memory hierarchy, supervisor/kernel mode, and I/O
structures) and covers implementation and representation issues only
to the extend that they are necessary to understand the structure and
operation of a computer system.

The course attempts to expose students to the practical issues that
affect performance, portability, security, robustness, and
extensibility. This course provides a foundation for subsequent
courses on operating systems, networks, compilers and many other
courses that require an understanding of the system-level
issues. Topics covered include: machine-level code and its generation
by optimizing compilers, address translation, input and output,
trap/event handlers, performance evaluation and optimization (with a
focus on the practical aspects of data collection and analysis).
Skript- C programmnig
- Integers
- Pointers and dynamic memory allocation
- Basic computer architecture
- Compiling C control flow and data structures
- Code vulnerabilities
- Implementing memory allocation
- Linking
- Floating point
- Optimizing compilers
- Architecture and optimization
- Caches
- Exceptions
- Virtual memory
- Multicore
- Devices
LiteraturThe course is based in part on "Computer Systems: A Programmer's Perspective" (3rd Edition) by R. Bryant and D. O'Hallaron, with additional material.
Voraussetzungen / Besonderes252-0029-00L Parallel Programming
252-0028-00L Design of Digital Circuits
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