311.912 (23S) Linear Algebra for Engineers, group B
Overview
- Lecturer
- LV Nummer Südostverbund INC02002UL
- Course title german Linear Algebra for Engineers, group B
- Type Practical class (continuous assessment course )
- Course model Attendance-based course
- Hours per Week 1.0
- ECTS credits 2.0
- Registrations 29 (25 max.)
- Organisational unit
- Language of instruction English
- Course begins on 08.03.2023
- eLearning Go to Moodle course
-
Remarks (english)
This group is now full! Please consider registration to group D (311.914) or C (311.913)!
Time and place
Course Information
Intended learning outcomes
Upon passing this course, the student should be able to solve standard problems in linear algebra.
Teaching methodology
Solving exercises.
Course content
See Lecture (311.910).
Prior knowledge expected
Not relevant.
Curricular registration requirements
Not relevant.
Literature
See Lecture (311.910).
Examination information
Examination methodology
Solving the exercises and presentation of solutions.
Examination topic(s)
Problems from weekly homework assignments.
Assessment criteria / Standards of assessment for examinations
Homework assignments will be published on Moodle ca. one week before the respective exercise session.
Students will declare which problems they solved via ticking lists (Kreuzesystem). The deadline for the submission will be 11:00 at the day of the exercise session.
For each problem, one of the students who ticked it will be randomly chosen to present the solution in the class.
The number of problems ticked by a student in the ticking list will be converted into submission points. For each homework assignment, the number of submission points will be the fraction of the problems that a student solved. (Example: If an assignmentconsists of 5 problems and a student ticks 3 of them, then they will get 0.6 submission points for this homework). The maximum possible total number of submission points is 12, as there will be 14 homework assignments, and two worst submissions won't be considered.
Class presentations will be graded from 1 (bad) to 4 (good). The average of these grades will make the presentation points. They will be added to the submission points, thus giving a pre-final grade of at most 16 points.
In order to pass the course, a student should
1. collect at least 8 submission points, and
2. collect at least 10 points in total.
If these conditions are not fulfilled, the student will not pass the course (final grade 5).
If these conditions are fulfilled, the pre-final grade will be converted into the final grade as follows:
10 ≤ X < 11.5 → 4
11.5 ≤ X < 13 → 3
13 ≤ X < 14.5 → 2
14.5 ≤ X ≤ 16 → 1
If a student fails to present a solution of the problem that they declared as solved, or if they ticked some problems but do not show up, all their submission points for that week will be cancelled. If this situation is repeated, the student will not pass the course.
Attendance is compulsory. Every student can be absent from up to two exercise sessions without need to notify the instructor (in this case they should not tick any problems). Otherwise the student should notify the instructor by e-mail before the lesson.
It is possible to cancel the registration to the course until 31 March. All the students who will not cancel their registration by this date, will get a grade as explained above.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Bachelor-Lehramtsstudium Bachelor Unterrichtsfach Informatik
(SKZ: 414, Version: 15W.2)
-
Subject: Mathematische Grundlagen (AAU)
(Compulsory elective)
-
INC.002 Diskrete Mathematik und lineare Algebra (
2.0h UE / 4.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
INC.002 Diskrete Mathematik und lineare Algebra (
2.0h UE / 4.0 ECTS)
-
Subject: Mathematische Grundlagen (AAU)
(Compulsory elective)
- Bachelor-Lehramtsstudium Bachelor Unterrichtsfach Informatik
(SKZ: 414, Version: 17W.2)
-
Subject: Mathematische Grundlagen (AAU)
(Compulsory elective)
-
INC.002 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
INC.002 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
-
Subject: Mathematische Grundlagen (AAU)
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 19W.2)
-
Subject: Mathematik und Theoretische Grundlagen
(Compulsory subject)
-
3.5 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 4. Semester empfohlen
-
3.5 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
-
Subject: Mathematik und Theoretische Grundlagen
(Compulsory subject)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Mathematik und Theoretische Grundlagen
(Compulsory subject)
-
3.2 Lineare Algebra für Informatik und informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
3.2 Lineare Algebra für Informatik und informationstechnik (
1.0h UE / 2.0 ECTS)
-
Subject: Mathematik und Theoretische Grundlagen
(Compulsory subject)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Mathematics and Theoretical Principles
(Compulsory subject)
-
Lineare Algebra und Diskrete Mathematik (
2.0h UE / 4.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
Lineare Algebra und Diskrete Mathematik (
2.0h UE / 4.0 ECTS)
-
Subject: Mathematics and Theoretical Principles
(Compulsory subject)
- Bachelor's degree programme Information Management
(SKZ: 522, Version: 17W.1)
-
Subject: Wahlfach Mathematik und Statistik (Informatik)
(Compulsory elective)
-
5.2 Lehrveranstaltungen aus dem Studium Angewandte Informatik/Bereich Mathematik und Statistik für Informatik (
0.0h VO,KS / 12.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS)
-
5.2 Lehrveranstaltungen aus dem Studium Angewandte Informatik/Bereich Mathematik und Statistik für Informatik (
0.0h VO,KS / 12.0 ECTS)
-
Subject: Wahlfach Mathematik und Statistik (Informatik)
(Compulsory elective)
- Bachelor's degree programme Management Information Systems
(SKZ: 522, Version: 20W.2)
-
Subject: Mathematik und Statistik (Informatik)
(Compulsory elective)
-
7.2 Mathematik und Statistik (Informatik) (
0.0h XX / 12.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 1., 2. Semester empfohlen
-
7.2 Mathematik und Statistik (Informatik) (
0.0h XX / 12.0 ECTS)
-
Subject: Mathematik und Statistik (Informatik)
(Compulsory elective)
- Bachelor's degree programme Information Management
(SKZ: 522, Version: 12W.1)
-
Subject: Wahlfach Mathematik und Statistik (Informatik)
(Compulsory elective)
-
1.1.1 Lineare Algebra und Diskrete Mathematik (
0.0h KU / 3.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS)
-
1.1.1 Lineare Algebra und Diskrete Mathematik (
0.0h KU / 3.0 ECTS)
-
Subject: Wahlfach Mathematik und Statistik (Informatik)
(Compulsory elective)
- Bachelor's degree programme Information and Communications Engineering
(SKZ: 289, Version: 22W.1)
-
Subject: Mathematik I
(Compulsory subject)
-
2.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
2.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
-
Subject: Mathematik I
(Compulsory subject)
- Bachelorstudium Informationstechnik
(SKZ: 289, Version: 17W.1)
-
Subject: Mathematik I
(Compulsory subject)
-
1.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
1.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
-
Subject: Mathematik I
(Compulsory subject)
- Bachelor's degree programme Information Technology
(SKZ: 289, Version: 12W.2)
-
Subject: Höhere Mathematik I
(Compulsory subject)
-
Diskrete Mathematik und Lineare Algebra (
2.0h KU / 3.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS) Absolvierung im 2. Semester empfohlen
-
Diskrete Mathematik und Lineare Algebra (
2.0h KU / 3.0 ECTS)
-
Subject: Höhere Mathematik I
(Compulsory subject)
- Bachelor's degree programme Robotics and Artificial Intelligence
(SKZ: 295, Version: 22W.1)
-
Subject: Mathematics
(Compulsory subject)
-
2.4 Linear Algebra for Engineers (
1.0h UE / 2.0 ECTS)
- 311.912 Linear Algebra for Engineers, group B (1.0h UE / 2.0 ECTS)
-
2.4 Linear Algebra for Engineers (
1.0h UE / 2.0 ECTS)
-
Subject: Mathematics
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 311.911 UE Linear Algebra for Engineers, group A (1.0h / 2.0ECTS)
- 311.912 UE Linear Algebra for Engineers, group B (1.0h / 2.0ECTS)
- 311.913 UE Linear Algebra for Engineers, group C (1.0h / 2.0ECTS)
- 311.914 UE Linear Algebra for Engineers, group D (1.0h / 2.0ECTS)
- 311.915 UE Linear Algebra for Engineers, group E (1.0h / 2.0ECTS)
- Sommersemester 2023
- Sommersemester 2022
- Sommersemester 2021
- Sommersemester 2020
- Sommersemester 2019
- Sommersemester 2018