Module CS1000-KP10, CS1000SJ14

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

10

Course of studies, specific fields and terms:

• Bachelor Media Informatics 2020, compulsory: aptitude test, computer science
• Bachelor Computer Science 2019, compulsory: aptitude test, foundations of computer science
• Bachelor Robotics and Autonomous Systems 2020 , compulsory, foundations of computer science
• Bachelor Computer Science 2016, compulsory: aptitude test, foundations of computer science
• Bachelor Robotics and Autonomous Systems 2016, compulsory, computer science
• Bachelor IT-Security 2016, compulsory: aptitude test, computer science
• Bachelor Media Informatics 2014, compulsory: aptitude test, computer science
• Bachelor Computer Science 2014, compulsory: aptitude test, foundations of computer science

Classes and lectures:

• Java project (programming project, 2 SWS)
• Lab course Java (exercise, 2 SWS)
• Lab course Java (lecture, 2 SWS)
• Introduction to Programming (lecture, 2 SWS)

Workload:

• 30 hours work on project
• 30 hours exam preparation
• 150 hours private studies
• 90 hours in-classroom work

Contents of teaching:

• Basic concepts of computer science: representation of information and numbers, hardware, software, operating systems, applications
• Algorithm, Specification, Program
• Syntax und Semantics of Programming Languages
• Basic concepts of imperative and OO programming
• Techniques of secure programming
• Programming in Java including term-long project
• Development environment for Java

Qualification-goals/Competencies:

• Students can easily calculate in 2, 8 and 16 number systems and convert numbers into each other in these systems.
• Students can convert rational and real numbers into floating point numbers and vice versa.
• Students can explain the principles of text encoding in ASCII, Unicode, and UTF-8.
• Students can independently represent the term 'algorithm' and important properties.
• Students can explain the structure and semantics of imperative programs.
• Students master the technique of reading and understanding imperative algorithms and writing them down for simple problems.
• Students can apply basic algorithmic techniques such as iteration and recursion.
• Students are basically able to apply safe programming techniques.
• Students can design, implement and test simple simple programs
• Students can develop and implement solutions satisfying commonly accepted quality standards
• Students can implement limited, but no longer small software development projects in a team.

Grading through:

• written exam
• successful addressing of the project goals

Is requisite for:

• Lab Course Software Engineering (CS2301-KP06, CS2301)
• Software Engineering (CS2300-KP06, CS2300SJ14)
• Algorithms and Data Structures (CS1001-KP08, CS1001)

Responsible for this module:

• Prof. Dr. Stefan Fischer

Teacher:

• Institute of Telematics
• Prof. Dr. Stefan Fischer

Literature:

• H. P. Gumm and M. Sommer : Einführung in die Informatik Oldenbourg, 10. Auflage, 2012
• G. Goos und W. Zimmermann : Vorlesungen über Informatik (Band 1 und 2) Springer-Verlag, 2006
• D. J. Barnes und M. Kölling : Java lernen mit BlueJ - Objects first - eine Einführung in Java 6. Auflage, Pearson Studium, 2017
• T. Stark und G. Krüger : Handbuch der Java-Programmierung 5. Auflage, Addison-Wesley, 2007
• R. Sedgewick und K. Wayne : Einführung in die Programmierung mit Java Pearson Studium

Language:

• offered only in German

Notes:

Last Updated:

14.08.2024