- Various terms and definitions of probability
- Stochastic independence, joined experiments
- Random Variables (ZV) and moments
- Special distributions of continuous and discrete random variables, multi-dimensional random variables, covariance matrix
- Application examples: reliability theory and safety
- Mathematical statistics, parameter estimation, confidence estimators
Module EIT-EMS-454-M-2
Principles and Applications of Probability Theory (M, 4.0 LP)
Module Identification
Module Number | Module Name | CP (Effort) |
---|---|---|
EIT-EMS-454-M-2 | Principles and Applications of Probability Theory | 4.0 CP (120 h) |
Basedata
CP, Effort | 4.0 CP = 120 h |
---|---|
Position of the semester | 1 Sem. in WiSe |
Level | [2] Bachelor (Fundamentals) |
Language | [DE] German |
Module Manager | |
Lecturers | |
Area of study | [EIT-EMS] Microelectronic Systems Design |
Reference course of study | [EIT-82.781-SG#2019] B.Sc. Electrical and Computer Engineering [2019] |
Livecycle-State | [NORM] Active |
Courses
Type/SWS | Course Number | Title | Choice in Module-Part | Presence-Time / Self-Study | SL | SL is required for exa. | PL | CP | Sem. | |
---|---|---|---|---|---|---|---|---|---|---|
3V | EIT-EMS-454-K-2 | Principles and Applications of Probability Theory
| P | 25 h | 95 h |
K-Schein
| ja | PL1 | 4.0 | WiSe |
- About [EIT-EMS-454-K-2]: Title: "Principles and Applications of Probability Theory"; Presence-Time: 25 h; Self-Study: 95 h
- About [EIT-EMS-454-K-2]: The study achievement [K-Schein] proof of successful participation in written examination must be obtained. It is a prerequisite for the examination for PL1.
Examination achievement PL1
- Form of examination: written exam (Klausur) (120 Min.)
- Examination Frequency: each semester
Evaluation of grades
The grade of the module examination is also the module grade.
Contents
Competencies / intended learning achievements
After completing this module you can...
- ... define and explain the terms "Event", "Probability", "Random Variable", "Density Function", "Distribution Function", "Covariance Matrix", and "Correlation Coefficient".
- ... describe and model technical applications with probability theory formalisms and calculate given tasks.
- ... apply foundations of statistics to practical problems and compute and interpret statistical tests.
- ... gather and acquire information and helpful sources for various topics on your own, use the gained know-how for solving given tasks, and evaluate and reflect your own learning strategies.
Requirements for attendance (informal)
None
Requirements for attendance (formal)
None
References to Module / Module Number [EIT-EMS-454-M-2]
Course of Study | Section | Choice/Obligation |
---|---|---|
[EIT-82.781-SG#2019] B.Sc. Electrical and Computer Engineering [2019] | Fundamentals of Mathematics and Sciences (MNG) | [P] Compulsory |
[EIT-82.A44-SG#2018] B.Sc. Media and Communication Technology [2018] | Fundamentals of Mathematics and Sciences (MNG) | [P] Compulsory |
[EIT-82.?-SG#2021] B.Sc. Electrical and Computer Engineering [2021] | Fundamentals of Mathematics and Sciences (MNG) | [P] Compulsory |
[EIT-82.?-SG#2021] B.Sc. Media and Communication Technology [2021] | Fundamentals of Mathematics and Sciences (MNG) | [P] Compulsory |