311.913 (23S) Linear Algebra for Engineers, group C
Überblick
- Lehrende/r
- LV Nummer Südostverbund INC02003UL
- LV-Titel englisch Linear Algebra for Engineers, group C
- LV-Art Übung (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 1.0
- ECTS-Anrechnungspunkte 2.0
- Anmeldungen 29 (25 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 08.03.2023
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
Upon passing this course, the student should be able to solve standard problems in linear algebra.
Lehrmethodik
Solving exercises.
Inhalt/e
See Lecture (311.910).
Erwartete Vorkenntnisse
Not relevant.
Curriculare Anmeldevoraussetzungen
Not relevant.
Literatur
See Lecture (311.910).
Prüfungsinformationen
Prüfungsmethode/n
Solving the exercises and presentation of solutions.
Prüfungsinhalt/e
Problems from weekly homework assignments.
Beurteilungskriterien/-maßstäbe
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 cannot 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 thecourse.
Attendance is compulsory. Every student can be absent from up to two exercise session 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.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Bachelor-Lehramtsstudium Bachelor Unterrichtsfach Informatik
(SKZ: 414, Version: 17W.2)
-
Fach: Mathematische Grundlagen (AAU)
(Wahlfach)
-
INC.002 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Mathematische Grundlagen (AAU)
(Wahlfach)
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 19W.2)
-
Fach: Mathematik und Theoretische Grundlagen
(Pflichtfach)
-
3.5 Lineare Algebra für Informatik und Informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Mathematik und Theoretische Grundlagen
(Pflichtfach)
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 17W.1)
-
Fach: Mathematik und Theoretische Grundlagen
(Pflichtfach)
-
3.2 Lineare Algebra für Informatik und informationstechnik (
1.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Mathematik und Theoretische Grundlagen
(Pflichtfach)
- Bachelorstudium Informationsmanagement
(SKZ: 522, Version: 17W.1)
-
Fach: Wahlfach Mathematik und Statistik (Informatik)
(Wahlfach)
-
5.2 Lehrveranstaltungen aus dem Studium Angewandte Informatik/Bereich Mathematik und Statistik für Informatik (
0.0h VO,KS / 12.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Wahlfach Mathematik und Statistik (Informatik)
(Wahlfach)
- Bachelorstudium Wirtschaftsinformatik
(SKZ: 522, Version: 20W.2)
-
Fach: Mathematik und Statistik (Informatik)
(Wahlfach)
-
7.2 Mathematik und Statistik (Informatik) (
0.0h XX / 12.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (1.0h UE / 2.0 ECTS) Absolvierung im 1., 2. Semester empfohlen
-
7.2 Mathematik und Statistik (Informatik) (
0.0h XX / 12.0 ECTS)
-
Fach: Mathematik und Statistik (Informatik)
(Wahlfach)
- Bachelorstudium Informationstechnik
(SKZ: 289, Version: 22W.1)
-
Fach: Mathematik I
(Pflichtfach)
-
2.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Mathematik I
(Pflichtfach)
- Bachelorstudium Informationstechnik
(SKZ: 289, Version: 17W.1)
-
Fach: Mathematik I
(Pflichtfach)
-
1.5 Lineare Algebra für Informatik und Informationstechnik (
0.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (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)
-
Fach: Mathematik I
(Pflichtfach)
- Bachelorstudium Robotics and Artificial Intelligence
(SKZ: 295, Version: 22W.1)
-
Fach: Mathematics
(Pflichtfach)
-
2.4 Linear Algebra for Engineers (
1.0h UE / 2.0 ECTS)
- 311.913 Linear Algebra for Engineers, group C (1.0h UE / 2.0 ECTS)
-
2.4 Linear Algebra for Engineers (
1.0h UE / 2.0 ECTS)
-
Fach: Mathematics
(Pflichtfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
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