311.912 (23S) Linear Algebra for Engineers, group B

Sommersemester 2023

Registration deadline has expired.

First course session
08.03.2023 13:00 - 14:00 HS 2 On Campus
... no further dates known

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

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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

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

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 scheme

Position 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
  • 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
  • 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
  • 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
  • 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
  • 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)
  • 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
  • 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)
  • 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
  • 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
  • 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
  • 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)

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
  • 311.911 UE Linear Algebra for Engineers, group A (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
  • 311.911 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe A (1.0h / 2.0ECTS)
  • 311.912 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe B (1.0h / 2.0ECTS)
Sommersemester 2021
  • 311.911 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe A (1.0h / 2.0ECTS)
  • 311.913 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe B (1.0h / 2.0ECTS)
  • 311.914 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe C (1.0h / 2.0ECTS)
Sommersemester 2020
  • 311.911 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe A (1.0h / 2.0ECTS)
  • 311.913 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe B (1.0h / 2.0ECTS)
  • 311.914 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe C (1.0h / 2.0ECTS)
Sommersemester 2019
  • 311.911 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe A (1.0h / 2.0ECTS)
  • 311.913 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe C (1.0h / 2.0ECTS)
  • 311.915 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe D (1.0h / 2.0ECTS)
Sommersemester 2018
  • 311.911 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe A (1.0h / 2.0ECTS)
  • 311.913 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe C (1.0h / 3.0ECTS)
  • 311.914 UE Lineare Algebra für Informatik und Informationstechnik, Gruppe B (1.0h / 2.0ECTS)