ECE 109Engineering Probability and Statistics
Axioms of probability, conditional probability, theorem of total probability, random variables, densities, expected values, characteristic functions, transformation of random variables, central limit theorem. Random number generation, engineering reliability, elements of estimation, random sampling, sampling distributions, tests for hypothesis. One unit of credit given if taken after MAE 108, MATH 180A, MATH 180B, MATH 183, MATH 186, or ECON 120A.
Prerequisites
Where it sits in degree plans
Suggested plans most often put it in Year 2 · Spring (2 programs).
Required in (1)
- Electrical Engineering (B.S.)
One of the options in (2)
- Artificial Intelligence
- Computer Science (B.S.)
Courses that list ECE 109 as a prerequisite (35)
- COGS 118B Introduction to Machine Learning
- COGS 118D Computational Modeling and Analysis of Human Behavior
- CSE 150A Introduction to Artificial Intelligence: Probabilistic Reasoning and Decision-Making
- CSE 150B Introduction to Artificial Intelligence: Search and Reasoning
- CSE 151A Machine Learning: Learning Algorithms
- CSE 151B Deep Learning
- CSE 153 Machine Learning for Music
- CSE 153R Machine Learning for Music
- CSE 156 Statistical Natural Language Processing
- CSE 158 Recommender Systems and Web Mining
- CSE 158R Recommender Systems and Web Mining
- DSC 140A Probabilistic Modeling and Machine Learning
- DSC 140B Representation Learning
- DSC 148 Introduction to Data Mining
- ECE 153 Probability and Random Processes for Engineers
- ECE 155 Digital Communications Theory
- ECE 157A Communications Systems Laboratory I
- ECE 158A Data Networks I
- ECE 175A Elements of Machine Intelligence: Pattern Recognition and Machine Learning
- ECON 120B Econometrics B
- ECON 125 The Science of Population
- ECON 129 Cities, Inequality, Innovation
- ECON 171 Decisions Under Uncertainty
- ECON 172A Operations Research A
- ECON 190 An Introduction to Research in Economics
- MAE 146 Introduction to Machine Learning Algorithms
- MATH 181D Statistical Learning
- MATH 181F Sampling Surveys and Experimental Design
- MATH 189 Exploratory Data Analysis and Inference
- MGT 100 Customer Analytics
- MGT 151R Business Analytics
- MGT 153 Information Technology in Business Analytics
- MGT 160 Experiments in Firms
- MGT 180 Business Finance
- MGT 180R Business Finance