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Your search criteria Study Type: Both Institution:Applied Computer Science
Quick Overview
- University Ruhr West University of Applied Sciences
- Degree Bachelor of Science
- Degree Bachelor of Science, B.Sc.
- Study Type Undergraduate
- Mode of admission without admission restriction
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Deadline for Beginning Students
01.05.2024 —
15.09.2024
Weitere Informationen zur Einschreibung, zu Fristen und dem Bewerbungsablauf finden Sie auf der HRW Website: https://www.hochschule-ruhr-west.de/studium/bewerbung-und-einschreibung/bewerbungs-faq/ - Standard period of study (amount) 9 semesters
- Study Mode (elucidation) dual system; including practical semester; with integrated professional training
- Location (main / branches campus) Bottrop
- Admission semester winter semester
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Subject
- Areas of Concentration Artificial Intelligence, Automotive / Driver Assistance Systems, Human-Technology Interaction / Smart Devices, System Engineering
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Field of study
- Main instruction language German
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Annotation of the Higher Education Institution
INFORMATICS SHAPES THE FUTURE
Regardless of where we are and what we do - we are always surrounded by IT! As a cross-sectional discipline, it affects all areas of life: digital learning, entertainment and gaming, assistance systems, Big Data and business intelligence.
WHAT CAN I EXPECT?
- Basic training with practical relevance and application relevance
- Four subject-specific specialisation options
- Competence development for the strong IT industry
The application-oriented bachelor's degree course imparts sound and innovative knowledge and grants graduates entry to key positions in companies
Applicants who study this degree course:
- Deal with the solution of problems in various fields of application with methods and procedures of computer science
- Have necessary resources for the computer-aided solution of special tasks
- Plans, coordinates and controls software projects
Four subject-specific specialisations
The Applied Computer Science degree course offers four outstanding specialisations: Artificial Intelligence, Automotive, Smart Devices and System Engineering. Six elective modules from these areas can be taken later in the course of the course.
“Many have programming experience, but that is neither a requirement nor a guarantee of success. Students need analytical skills, but also creativity. Because the questions that computer scientists deal with are becoming increasingly diverse. There are often no standard solutions anymore, ”says Prof. Dr. Ioannis Iossifidis.
COURSE CONTENTS
- Programming, Databases, Software Engineering
- Artificial Intelligence, Automotive, Smart Devices, System Engineering
The Applied Computer Science course offers four exciting options:
1) Artificial Intelligence
Describes an interdisciplinary topic that deals with the decoding of thinking in order to develop methods of Computer Science, the problems of artificial action (e.g. autonomous robotics), perception (e.g. computer vision) and cognition (e.g. Fusion, planning, forecasting).
The transfer to technical systems leads to self-organising, learning, autonomous machines such as autonomous robots, self-driving cars and intelligent software agents.
2) Automotive
Cars drive autonomously, assistance systems recognise pedestrians, traffic signs and adapt themselves to the needs of the driver.
The structure, functions and development of current driver assistance systems form the core of the automotive focus. Intelligent sensor concepts, actuators and selected algorithms are used to develop new assistance systems and components, including non-technical aspects.
3) Smart Devices
In our ever increasingly networked world, new devices always play a role. These devices are integrated into our everyday life, generate data and provide support services. As part of the "Smart Devices" specialisation, we address such devices and investigate, for example, how cell phones, smart watches, beacons, ... can be used in a beneficial way for humans.
4) System Engineering
Systems Engineering is an interdisciplinary area of IT, Engineering and Engineering Management that focuses on designing, testing and managing complex systems.
A central aspect is the definition of the requirements for the software and hardware, data communication, sensors and actuators, on the basis of which the implementation of system tests and reference measurements in the laboratory and real environment are carried out. - Course Website
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Link to the programme in the Accreditation Council database
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