Course

INF1 - Computer Science 1

PDF Course Catalog Deutsche Version: INF1

Version: 1 | Last Change: 27.09.2019 20:30 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Computer Science 1
Approving CModule INF1_BaMT
Responsible
Prof. Dr.-Ing. Arnulph Fuhrmann
Professor Fakultät IME
Level Bachelor
Semester in the year winter semester
Duration Semester
Hours in self-study 90
ECTS 6
Professors
Prof. Dr.-Ing. Arnulph Fuhrmann
Professor Fakultät IME

Prof. Dr.-Ing. Luigi Lo Iacono
ehemaliger Professor Fakultät IME
Requirements none
Language German
Separate final exam Yes
Literature
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
Final exam
Details
Students must demonstrate the following competences in a written examination:
- Development of short programmes to solve defined problems described in colloquial language (K.4)
- Development of short programs to solve abstractly described problems (K.2, K.5)
- Reading, understanding and, if necessary, correction of given program fragments (K.4, K.10)
- Evaluation of statements with regard to their correctness (K.12)
Minimum standard
At least 50% of the total number of points.
Exam Type
Students must demonstrate the following competences in a written examination:
- Development of short programmes to solve defined problems described in colloquial language (K.4)
- Development of short programs to solve abstractly described problems (K.2, K.5)
- Reading, understanding and, if necessary, correction of given program fragments (K.4, K.10)
- Evaluation of statements with regard to their correctness (K.12)

Learning goals
Knowledge
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
Error handling, debugging
testing
documentation
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
checking source code for programming errors
developing programs for solving concrete problems
applying fundametal programming concepts
reading and understanding third-party source code
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 3
Exercises (whole course) 0
Exercises (shared course) 2
Tutorial (voluntary) 2
Special literature
keine/none
Special requirements
none
Accompanying material
electronic lecture slides for the lecture
electronic exercise collection
development tools for the development of software programs
Separate exam
Exam Type
solving exercises within limited functional / methodical scope
Details
Independent solving of self-learning tasks on the topics of the lecture in the form of the development of more complex programs to solve problems described in colloquial or abstract language (K.4, K.5, K.9, K.2).
Minimum standard
More than 80% of all exercises submitted. A task is deemed to have been completed if it has been solved predominantly and independently.

Impressum
Datenschutzhinweis
Haftungshinweis
Bei Fehlern, bitte Mitteilung an die
Webredaktion der Fakultät IME

© 2022 Technische Hochschule Köln