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

flag

Informatics 1

Module name (EN):
Name of module in study programme. It should be precise and clear.
Informatics 1
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014
Module code: KI110
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.
P222-0016
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+1U (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: 1
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam

[updated 20.03.2007]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI110 (P222-0016) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 1, 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:
KI210 Informatics 2
KI575 Machine Learning
KI579 Simulation of Discrete Systems with AnyLogic
KI584 Information Retrieval
KI590 Work Experience Phase
KI593 Introduction to Parallel Programming with CUDA
KI691


[updated 26.04.2021]
Module coordinator:
Prof. Dr. Damian Weber
Lecturer:
Prof. Dr. Damian Weber
Dipl.-Inform. Marion Bohr
Sarah Theobald, M.Sc.


[updated 15.01.2016]
Learning outcomes:
Students will be taught the elementary operations that a computer can perform. Students will learn how to structure simple algorithmic problems, develop suitable data structures for solving specific problems, specify the solution in terms of an algorithm and estimate the computational effort associated with a particular solution.
 
The problem-solving sessions are used to teach students the requisite problem-solving techniques.
 


[updated 13.03.2007]
Module content:
1. Mathematical basics
1.1......Sets and relations
1.2......Number systems
1.3......Boolean algebra
2. A model of a computing system (random-access machine)
3. Algorithms
3.1......Data types and variables
3.2......Control structures
3.3......Runtime
3.4......Data structures
3.5......Sorting algorithms


[updated 13.03.2007]
Recommended or required reading:
CORMEN T., LEISERSON, C., RIVEST R., STEIN, C.:, Introduction to Algorithms, Second Edition

[updated 13.03.2007]
Module offered in:
WS 2016/17, WS 2015/16, WS 2014/15, WS 2013/14, WS 2012/13, ... 
[Sat Apr 20 14:39:45 CEST 2024, CKEY=info1, BKEY=ki, CID=KI110, LANGUAGE=en, DATE=20.04.2024]