MATH 186Probability and Statistics for Bioinformatics
This course will cover discrete and random variables, data analysis and inferential statistics, likelihood estimators and scoring matrices with applications to biological problems. Introduction to Binomial, Poisson, and Gaussian distributions, central limit theorem, applications to sequence and functional analysis of genomes and genetic epidemiology. (Credit not offered for MATH 186 if ECON 120A, ECE 109, MAE 108, MATH 181A, or MATH 183 previously or concurrently. Two units of credit offered for MATH 186 if MATH 180A taken previously or concurrently.)
Prerequisites
From the catalog: “MATH 20C or MATH 31BH, or consent of instructor.”
Where it sits in degree plans
Suggested plans most often put it in Year 4 · Winter (1 program).
Required in (3)
- Bioengineering: Bioinformatics (B.S.)
- Biology with a Specialization in Bioinformatics (B.S.)
- Computer Science with Specialization in Bioinformatics (B.S.)
One of the options in (2)
- Business Psychology (B.S.)
- Clinical Psychology (B.S.)
Courses that list MATH 186 as a prerequisite (33)
- 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 155 Digital Communications Theory
- ECE 157A Communications Systems Laboratory I
- 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 112A Introduction to Mathematical Biology I
- 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