311.203 (23W) Analysis 1 for Engineers
Overview
- Lecturer
- Course title german Analysis 1 for Engineers
- Type Practical class (continuous assessment course )
- Course model Attendance-based course
- Hours per Week 2.0
- ECTS credits 3.0
- Registrations 22
- Organisational unit
- Language of instruction Englisch
- Course begins on 09.10.2023
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
Practical exercises in fundamentals of analysis.
Teaching methodology
Solving assignments and presenting the results.
Course content
See lecture.
Prior knowledge expected
No prior knowledge is required.
Curricular registration requirements
See lecture.
Literature
See lecture.
Examination information
Examination methodology
Final evaluation of each student is based on the following factors:
- Solving weekly assignments.
- Presentation of solutions on the board.
- Midterm exam.
Each exercise sheet is uploaded to the Moodle page about a week prior to the class. Before the class session, students mark the exercises they have completed in the Kreuzsystem. Throughout the semester, each student is required to present their solutions on the board at least three times. Students are selected for these presentations based on the exercises they have solved and marked in the Kreuzsystem.
During the second half of the semester, a midterm exam is scheduled.
In total, there are 100 points. The number of exercises solved counts 50 points, the presentation in total counts 20 points and 30 points for the midterm exam. Also, students can gain bonus points by actively participating in the activities of the class.
The point scheme is as follows:
| 100-86 points: | 1 |
| 85-75 points: | 2 |
| 74-62 points: | 3 |
| 61-50 points: | 4 |
| 49-0 points: | 5 |
Examination topic(s)
The midterm exam includes problems that are similar to the exercises provided in the weekly exercise sheets.
Assessment criteria / Standards of assessment for examinations
The final evaluation is determined by the total number of points earned by the student, which includes:
- Solving exercises.
- Presenting solutions on the board.
- Midterm exam score.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Bachelor's degree programme Robotics and Artificial Intelligence
(SKZ: 295, Version: 22W.1)
-
Subject: Mathematics
(Compulsory subject)
-
2.1 Analysis 1 for Engineers (
2.0h UE / 3.0 ECTS)
- 311.203 Analysis 1 for Engineers (2.0h UE / 3.0 ECTS)
-
2.1 Analysis 1 for Engineers (
2.0h UE / 3.0 ECTS)
-
Subject: Mathematics
(Compulsory subject)
Equivalent courses for counting the examination attempts
- Wintersemester 2024/25
- Wintersemester 2023/24
- Wintersemester 2022/23