Stud.IP Uni Oldenburg
University of Oldenburg
11.12.2023 04:01:07
inf030 - Programming, Algorithms and Data Structures (Course overview)
Department of Computing Science 9 KP
Module components Semester courses Wintersemester 2023/2024 Examination
Lecture
Exercises
Hinweise zum Modul
 Prerequisites No participant requirement Examination times At the End of the Semester Module examination Portfolio or written exam or oral exam Skills to be acquired in this module Programming is one of the basic activities of computer scientists and a prerequisite for many other courses in computer science studies. The aim of the module "Programming, Data Structures and Algorithms" is to learn the basic concepts of imperative, procedural and object-oriented programming using the Java programming language and to present known, efficient algorithms and data structures for various, frequently occurring problems. After completing the module, the students should be able to independently develop imperative and simple object-oriented programmes based on Java for solving smaller problems and assess the efficiency of their programmes. They should also be able to apply important algorithms and select them based on their complexity.Professional competence The students: describe basic concepts of imperative programming with Java recognise imperative programming terminology and use the appropriate terms accurately in discussions recognise basic terminology of object-oriented programming describe what programs presented to them do independently develop programs to solve small problems systematically examine their own and other people's programmes for errors use modern programme development environments to develop and test programmes create algorithms with general design concepts (e.g. Greedy method, divide-and-conquer method) name algorithms and data structures for solving common problems and evaluate their applicability name problems of efficiency of algorithmic solutions of concrete problems and evaluate them make a well-founded choice of an algorithm and a data structure for solving a concrete problem apply the learned algorithms and data structures sensibly to given and concrete problems Methodogical competence The students: solve given problems from the point of view of imperative or object-oriented programming transfer practical experience in programme development to new tasks Social competence The students: communicate the structure and mode of operation of self-developed programmes to others present solutions to small tasks in front of groups Self-competence The students: organise themselves in finding algorithmic solutions to small and medium-sized problems in computer science incorporate the concepts of general programme design in their actions