htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag


Computer Science for Engineers 1

Module name (EN):
Name of module in study programme. It should be precise and clear.
Computer Science for Engineers 1
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019
Module code: MST2.IN1
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P231-0048, P231-0049
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
3V+1P (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 90 min.

[updated 06.11.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MST2.IN1 (P231-0048, P231-0049) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019 , semester 2, mandatory course
MST2.IN1 (P231-0048, P231-0049) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2020 , semester 2, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
MST2.EMS Embedded Systems
MST2.IN2 Computer Science for Engineers 2


[updated 21.01.2020]
Module coordinator:
Dr.-Ing. Eric Wagner
Lecturer:
Prof. Dr. Martina Lehser


[updated 21.01.2020]
Learning outcomes:
After successfully completing this course, students will be able to use the basic concepts of algorithms and data structures in a targeted manner. They will understand the representation of data in a computer and can use it in data structures to solve problems using the programmin language C.
They will be able to analyze simple algorithmic problems and develop solutions to them.

[updated 06.11.2020]
Module content:
Principles of Computer Science:
Structure of a computer, numeral systems, programming languages,
Tools for program development, programming style, programming guidelines
   
Language concepts of the programming language C:
standard data types, operators and expressions  
Control structures, programming environment and main function  
   
Complex data types,
Pointers, arrays, strings
Structures, unions


[updated 06.11.2020]
Teaching methods/Media:
Lecture with mandatory tutorials and practical training in the computer lab

[updated 06.11.2020]
Recommended or required reading:
http://openbook.galileocomputing.de/c_von_a_bis_z/
Goll, Bröckl, Dausmann: C als erste Programmiersprache
C: Die Programmiersprache C _ Ein Nachschlagewerk, RRZN Hannover

[updated 06.11.2020]
 
[Thu Nov 21 11:52:00 CET 2024, CKEY=m3MST2.IN1, BKEY=mst3, CID=MST2.IN1, LANGUAGE=en, DATE=21.11.2024]