Course Computer Science 1

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Responsible: Prof. Dr.-Ing. Arnulph Fuhrmann

Course

Meets requirements of following modules(MID)

• in active programs
  • Ba MT2012 INF1

Course Organization

Version created 2012-12_08 VID 1 valid from WS 2012/13 valid to

Course identifiers Long name Computer Science 1 CID F07_INF1 CEID (exam identifier)

Contact hours per week (SWS) Lecture 3 Exercise (unsplit) Exercise (split) 2 Lab Project Seminar Tutorial(voluntary)

Total contact hours Lecture 45 Exercise (unsplit) Exercise (split) 30 Lab Project Seminar Tutorial (voluntary)

Max. capacity Exercise (unsplit) Exercise (split) Lab Project Seminar

Total effort (hours): 180

Instruction language

• German or English

Study Level

• Undergraduate

Prerequisites

• none

Textbooks, Recommended Reading

• P. Gumm, M. Sommer: Einführung in die Informatik, Oldenbourg, 2010
• G. Brookshear: Computer Science: An Overview, Pearson/Addison-Wesley, 2011
• W. Küchlin, A. Weber: Einführung in die Informatik - Objektorientiert mit Java, Springer, 2005
• C. Ullenboom: Java ist auch eine Insel, Galileo Computing, 2011

Instructors

• Prof. Dr.-Ing. Arnulph Fuhrmann
• Prof. Dr.-Ing. Luigi Lo Iacono

Supporting Scientific Staff

• tba

Transcipt Entry

Computer Science 1

Assessment

Type
sK	sK unmittelbar nach LV: Note aus Punktzahl der sK (70%) und aus bK (30%)
sK	sK nicht unmittelbar nach LV: Note allein aus sK

Total effort [hours]
sMP	10

Frequency: 2-3/year

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Course components

Lecture/Exercise

Objectives

Contents

• foundations
  • computer architectures
    • Von Neumann model
    • processor
    • memory
    • I/O
  • binary data coding
    • integer
    • characters and strings
    • floating point number
    • media data
      • images
      • audio
• compiled, interpreted, hybrid languages
• imperative programming
  • syntax, keywords, comments
  • variables
  • primitive data types
  • operators and expressions
    • arithmetic operators
    • boolean operators
    • bit operators
    • expressions
      • arithmetic
      • boolean
    • precedence of operators
  • elementary data structures
    • arrays
    • characters and strings
    • references
  • control flow statements
  • input / output
• procedural programming
  • structuring the program code
  • functions
  • recursion
  • moduls and libraries
  • modeling
• object-oriented programming
  • classes
  • objects
  • methods
  • encapsulation
  • inheritance
  • polymorphism
• software quality
  • testing
  • documentation

Acquired Skills

• design and modeling
  • abstracting problem descriptions into algorithms
  • deciding what programming concepts and primitives are required to solve a particular problem
  • design and modelling of software systems with UML
• programming in Java
  • developing programs for solving concrete problems
  • checking source code for programming errors
  • applying fundametal programming concepts
  • reading and understanding third-party source code

Additional Component Assessment

Type
bK	Klausur nach ca. 8 Wochen
bÜA	Präsenzübung und Selbstlernaufgaben

Contribution to course grade
bK	30% der Punkte für unmittelbar abschließende sK
bÜA	unbenotet, Voraussetzung für Teilnahme an sK

Frequency: 1/year