311.911 (24S) Linear Algebra for Engineers, group A
Overview
- Lecturer
- LV Nummer Südostverbund INC02001UL
- Course title german Linear Algebra for Engineers, group A
- Type Practical class (continuous assessment course )
- Course model Attendance-based course
- Hours per Week 1.0
- ECTS credits 2.0
- Registrations 32 (25 max.)
- Organisational unit
- Language of instruction Englisch
- Course begins on 06.03.2024
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
Upon passing this course, the students 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
The final grade will be based on solving problems, class presentations, and the final exam.
Examination topic(s)
Tasks and problems related to the contents of the course.
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 10:00 on the day of the exercise session.
For each problem, one of the students who ticked it will be randomly selected to present the solution in the class.
Class presentations will be graded from 0 (bad) to 4 (good).
Finally, at the end of the semester, a final exam will be given.
The ingredients of the pre-final grade:
45%: the number of submitted problems. (That is, if you submit all the problems, this will contribute 45 to the final grade. Two weeks with the smallest number of submitted problems will be ignored.)
15%: the grade for class presentations. (We will calculate the average of your presentation grades. If it is 4, this will contribute 15 to the final grade.)
40%: the final exam.
This will yield a pre-final grade in the range of [0..100].
In order to pass the course, a student should
1. submit at least 60% of the problems,
2. collect at least 50% of the points at the final exam.
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:
X < 60 → 5 (failing)
60 ≤ X < 70 → 4
70 ≤ X < 80 → 3
80 ≤ X < 90 → 2
90 ≤ X ≤ 100 → 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, the entire submission 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 teacher. Otherwise the student should notify the teacher by e-mail before the lesson. In any case, if a student does not show up to a lesson, they should not tick any problems in the respective ticking list.
It is possible to cancel the registration to the course until 8 April. 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)
- 311.911 Linear Algebra for Engineers, group A (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)
- 311.911 Linear Algebra for Engineers, group A (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 Linear Algebra for Engineers (
1.0h UE / 2.0 ECTS)
- 311.911 Linear Algebra for Engineers, group A (1.0h UE / 2.0 ECTS) Absolvierung im 4. Semester empfohlen
-
3.5 Linear Algebra for Engineers (
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)
- 311.911 Linear Algebra for Engineers, group A (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 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)
- 311.911 Linear Algebra for Engineers, group A (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)
- 311.911 Linear Algebra for Engineers, group A (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 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)
- 311.911 Linear Algebra for Engineers, group A (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)
- 311.911 Linear Algebra for Engineers, group A (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 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)
- 311.911 Linear Algebra for Engineers, group A (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
-
Sommersemester 2023
- 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 2022
- Sommersemester 2021
- Sommersemester 2020
- Sommersemester 2019
- Sommersemester 2018