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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 01.10.2021
Module code: KIB-INF1
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.
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.
2V+2U (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.
Semester: 1
Mandatory course: yes
Language of instruction:
Written exam

[updated 19.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KIB-INF1 (P222-0016) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 1, mandatory course
KIB-INF1 (P222-0016) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 1, mandatory course
PRI-INF1 (P222-0016) Production Informatics, Bachelor, ASPO 01.10.2023 , semester 1, mandatory course
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):
Recommended as prerequisite for:
KIB-INF2 Informatics 2
KIB-RN Computer Networks
KIB-SDSA Simulation of Discrete Systems with AnyLogic

[updated 25.09.2020]
Module coordinator:
Prof. Dr. Damian Weber
Dipl.-Inform. Marion Bohr (exercise)
Sarah Theobald, M.Sc. (exercise)

[updated 05.12.2019]
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. Through the use of a Random Access Machine machine model they will gain become acquainted with the basic operations a computer can perform. They will be able to accurately express problems and analyze simple algorithmic problems to develop solutions. They will be able to asymptotically estimate the effort required for the solution.
The related techniques will be learned and intensified in theoretical training sessions by means of independent work.

[updated 19.02.2018]
Module content:
1. Mathematic principles
1.1 Number systems
1.2 Boolean algebra
2. Random Access Machine machine model
2.1 Structure
2.2 Program correctness
2.3 Program runtime
3. Data structures
3.1 Arrays
3.2 Lists
3.3 Heaps
3.4 Hash tables
3.5 Search trees
4. Algorithms
4.1 High-level programming languages
4.2 Recursion
4.3 Sorting

[updated 19.02.2018]
Teaching methods/Media:
RAMses, a RAM simulator

[updated 19.02.2018]
Recommended or required reading:
Cormen Th., Leiserson Ch., Rivest R., Introduction to Algorithms, Oldenbourg, 2013
Sedgewick R., Wayne K., Algorithmen und Datenstrukturen, Pearson Studium, 2014

[updated 19.02.2018]
Module offered in:
WS 2022/23, WS 2021/22, WS 2020/21, WS 2019/20, WS 2018/19, ...
[Fri Jun 14 07:59:28 CEST 2024, CKEY=ki1a, BKEY=ki2, CID=KIB-INF1, LANGUAGE=en, DATE=14.06.2024]