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Learning about what data- or method-oriented courses are available should be simple. Because the Berkeley course offerings have limited search capabilities, D-Lab creates listings of Berkeley graduate and undergraduate courses each semester that cover methods, approaches, techniques, tools, software, or data relevant to data-intensive social science across departments and disciplines. We anticipate adding course listings for online courses and other resources. After searching, click on the course title for additional details. Feedback? Please send to dlab@berkeley.edu.
 

Course Title Description
PB HLTH
293
Doctoral Seminar: "Practical Issues in Maternal and Child Health Data Analysis" Discussion and analysis of dissertation research projects, as well as of conceptual and methodological problems in planning and conducting health research."
PB HLTH
293
Doctoral Seminar: "Health Services Policy Analysis Ph.D. Seminar" Discussion and analysis of dissertation research projects, as well as of conceptual and methodological problems in planning and conducting health research."
PB HLTH
293
Doctoral Seminar: "Health Services Research Colloquium" Discussion and analysis of dissertation research projects, as well as of conceptual and methodological problems in planning and conducting health research."
PHDBA
239B
Continuous Time Asset Pricing This course covers topics in dynamic asset pricing, portfolio choice and general equilibrium theory in a continuous time setting. The first part of the course covers basic mathematical and statistical results. Finance results that have been developed in continuous times include the intertemporal CAPM, corporate securities and default risk, the term structure of interest rates. In addition, results are developed on non-time additive utility."
PHILOS
100
Philosophical Methods The course is designed to acquaint students with the techniques of philosophical reasoning through detailed study of selected philosophical texts and through extensive training in philosophical writing, based on those texts. Should be taken as early as possible after declaring the major."
PHYSICS
112
Introduction to Statistical and Thermal Physics Basic concepts of statistical mechanics, microscopic basis of thermodynamics and applications to macroscopic systems, condensed states, phase transformations, quantum distributions, elementary kinetic theory of transport processes, fluctuation phenomena."
PHYSICS
112
Introduction to Statistical and Thermal Physics Basic concepts of statistical mechanics, microscopic basis of thermodynamics and applications to macroscopic systems, condensed states, phase transformations, quantum distributions, elementary kinetic theory of transport processes, fluctuation phenomena."
PLANTBI
C144
Introduction to Protein Informatics This course will introduce students to the fundamentals of molecular biology, and to the bioinformatics tools and databases used for the prediction of protein function and structure. It is designed to impart both a theoretical understanding of popular computational methods, as well as some experience with protein sequence analysis methods applied to real data. This class includes no programming, and no programming background is required. Also listed as Bioengineering C144."
PLANTBI
C148
Microbial Genomics and Genetics Course emphasizes bacterial and archaeal genetics and comparative genomics. Genetics and genomic methods used to dissect metabolic and development processes in bacteria, archaea, and selected microbial eukaryotes. Genetic mechanisms integrated with genomic information to address integration and diversity of microbial processes. Introduction to the use of computational tools for a comparative analysis of microbial genomes and determining relationships among bacteria, archaea, and microbial eukaryotes. Also listed as Molecular and Cell Biology C148."
PLANTBI
200B
Genomics and Computational Biology Principles of computational and genomic biology. Covers evolutionary, algorithmic, and statistical foundations of sequence analysis, allowing students to understand concepts underlying modern computational methods. Practical applications wil be pursued in student-coordinated sessions. Combined lecture with 220B."
PLANTBI
220B
Genomics and Computational Biology Principles of computational and genomic biology. Covers evolutionary, algorithmic, and statistical foundations of sequence analysis, allowing students to understand concepts underlying modern computational methods. Practical applications will be pursued in student-coordinated sessions. Combined lecture with 200B."
POL SCI
C131A
Applied Econometrics and Public Policy This course focuses on the sensible application of econometric methods to empirical problems in economics and public policy analysis. It provides background on issues that arise when analyzing non-experimental social science data and a guide for tools that are useful for empirical research. By the end of the course, students will have an understanding of the types of research designs that can lead to convincing analysis and be comfortable working with large scale data sets. Also listed as Public Policy C142 and Economics C142."
POL SCI
232A
Formal Models of Political Science
POL SCI
236B
Quantitative Mehtodology in the Sociol Sciences Seminar A seminar on successful research designs and a forum for students to discuss the research methods needed in their own work, supplemented by lectures on relevant statistical and computational topics such as matching methods, instrumental variables, regression discontinuity, and Bayesian, maximum likelihood and robust estimation. Applications are drawn from political science, economics, sociology, and public health. Experience with R is assumed."
PSYCH
101
Research and Data Analysis in Psychology The course will concentrate on hypothesis formulation and testing, tests of significance, analysis of variance (one-way analysis), simple correlation, simple regression, and nonparametric statistics such as chi-square and Mann-Whitney U tests. Majors intending to be in the honors program must complete 101 by the end of their junior year."
PSYCH
164
Social Cognition Surveys empirical and theoretical approaches to our understanding of perception, memory, thought, and language concerning ourselves, other people, interpersonal behavior, and the situations in which social interaction takes place. Emphasis is placed on the integration of problems in social, personality, and clinical psychology with the concepts and principles employed in the study of nonsocial cognition."
PSYCH
205B
Data Analysis Students will need to work through problems (homework). A general data analytic course that emphasizes design issues and problems, from pure experimental research through field studies. Techniques of ANOVA and multiple regression/correlation will be presented as analytical models for both lab and field research."
PSYCH
210A
Proseminar: Cognition, Brain, and Behavior A survey of the field of biological psychology. Areas covered are (a) cognitive neuroscience; (b) biological bases of behavior; (c) sensation and perception (d) learning and memory, (e) thought and language."
PSYCH
250C
Proseminar: Social Cognition Surveys empirical and theoretical approaches to our understanding of perception, memory, thought, and language concerning ourselves, other people, interpersonal behavior, and the situations in which social interaction takes place. Emphasis is placed on the integration of problems in social, personality, and clinical psychology with the concepts and principles employed in the study of nonsocial cognition."
PSYCH
250D
Principles and Pragmatics of Personality Measurement Methods of personality measurement and assessment, with particular attention to the qualities, attributes, talents and dispositions considered in the everyday evaluations people make of self and others."
PSYCH
290Z
Seminars: "Structural Equation Modeling" Special section."
PUB POL
C142
Applied Econometrics and Public Policy This course focuses on the sensible application of econometric methods to empirical problems in economics and public policy analysis. It provides background on issues that arise when analyzing non-experimental social science data and a guide for tools that are useful for empirical research. By the end of the course, students will have an understanding of the types of research designs that can lead to convincing analysis and be comfortable working with large scale data sets. Also listed as Economics C142 and Political Science C131A."
PUB POL
240B
Decision Analysis, Modeling, and Quantitative Methods An integrated course on the use of quantitative techniques in public policy analysis: computer modeling and simulation, linear programming and optimization, decision theory, and statistical and econometric analysis of policy-relevant data. The student develops a facility in distilling the policy relevance of numbers through an analysis of case studies and statistical data sets."
PUB POL
240B
Decision Analysis, Modeling, and Quantitative Methods An integrated course on the use of quantitative techniques in public policy analysis: computer modeling and simulation, linear programming and optimization, decision theory, and statistical and econometric analysis of policy-relevant data. The student develops a facility in distilling the policy relevance of numbers through an analysis of case studies and statistical data sets."
RHETOR
230
Rhetoric and History This course investigates both the concept of history and the practice of historiography, using an engagement with the literal and metaphoric archives of the past to consider their empirical and philosophical claims on the present. While the methods, themes, and historical reach may vary, the course requires Rhetoric graduate students to investigate pre-1900 material in some form and to consider both the pragmatics of conducting historical inquiry and the interpretive frameworks that structure them."
SOC WEL
250Z
Cognitive Behavioral Methods The purpose of this course is to increase students' understanding of and competencies in cognitive-behavior methods. Throughout the course practice decisions and related research will be closely integrated. Although further guided experience will be needed to develop high levels of related skills, especially concerning assessment and relationship factors as these are needed to maximize success, students will have the opportunity to develop a beginning understanding of basic behavior principles."
SOC WEL
289A
Research Methods and Techniques in Social Welfare The logic of social research: topics include rationale and procedure of research design, validity, reliability, and an introduction to sampling."
SOCIOL
105
Research Design and Sociological Methods Problems of research design, measurement, and data collection, processing, and analysis will be considered. Attention will be given to both qualitative and quantitative studies."
SOCIOL
106
Quantitative Sociological Methods This course will cover more technical issues in quantitative research methods introduced in 105, and will include, according to discretion of instructor, a practicum in data collection and/or analysis. Recommended for students interested in graduate work in sociology or research careers."
SOCIOL
137AC
Environmental Justice: Race, Class, Equity, and the Environment Overview of the field of environmental justice, analyzing the implications of race, class, labor, and equity on environmental degradation and regulation. Environmental justice movements and struggles within poor and people of color communities in the U.S., including: African Americans, Latino Americans, and Native American Indians. Frameworks and methods for analyzing race, class, and labor. Cases of environmental injustice, community and government responses, and future strategies for achieving environmental and labor justice. Also listed as Environ Sci, Policy, and Management 163AC."
SOCIOL
271C
Methods of Sociological Research A three-semester sequence course introducing logical and analytic techniques commonly employed in social science research. The methodological problems encountered in field work, historical and comparative inquiry, experimental research, and survey analysis. The first semester concentrates on techniques for gathering evidence; the second and third semesters focuses on beginning and intermediate numerical techniques for analyzing evidence."
SOCIOL
C271D
Quantitative/Statistical Research Methods in Social Sciences Selected topics in quantitative/statistical methods of research in the social sciences and particularly in sociology. Possible topics include: analysis of qualitative/categorical data; loglinear models and latent-structure analysis; the analysis of cross-classified data having ordered and unordered categories; measure, models, and graphical displays in the analysis of cross-classified data; correspondence analysis, association analysis, and related methods of data analysis. Also listed as Statistics C261."
SOCIOL
273D
Quantitative/Statistical Research
SOCIOL
275
Research Design This course will take students through the process of developing, carrying out, and writing up a research project. The course is ideal for students working on their MA papers, but it is also appropriate for students who are formulating dissertation prospectuses. We will begin by reading a guide to the logical problems that all research methods, qualitative or quantitative, must address if they are to study social causation."
STAT
131A
Introduction to Probability and Statistics for Life Scientists Ideas for estimation and hypothesis testing basic to applications, including an introduction to probability. Linear estimation and normal regression theory."
STAT
131A
Introduction to Probability and Statistics for Life Scientists Ideas for estimation and hypothesis testing basic to applications, including an introduction to probability. Linear estimation and normal regression theory."
STAT
133
Concepts in Computing with Data An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results."
STAT
133
Concepts in Computing with Data An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results."
STAT
134
Concepts of Probability An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions."
STAT
135
Concepts of Statistics A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering."
STAT
135
Concepts of Statistics A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering."
STAT
150
Stochastic Processes Random walks, discrete time Markov chains, Poisson processes. Further topics such as: continuous time Markov chains, queueing theory, point processes, branching processes, renewal theory, stationary processes, Gaussian processes."
STAT
151A
Linear Modelling: Theory and Applications A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies."
STAT
152
Sampling Surveys Theory and practice of sampling from finite populations. Simple random, stratified, cluster, and double sampling. Sampling with unequal probabilities. Properties of various estimators including ratio, regression, and difference estimators. Error estimation for complex samples."
STAT
153
Introduction to Time Series An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra."
STAT
154
Modern Statistical Prediction and Machine Learning Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions."
STAT
155
Game Theory General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples."
STAT
C205B
Probability Theory The course is designed as a sequence with with Statistics C205A/Mathematics C218A with the following combined syllabus. Measure theory concepts needed for probability. Expection, distributions. Laws of large numbers and central limit theorems for independent random variables. Characteristic function methods. Conditional expectations, martingales and martingale converengence theorems. Markov chains. Stationary processes. Brownian motion. Also listed as Mathematics C218B."
STAT
210B
Theoretical Statistics Introduction to modern theory of statistics; empirical processes, influence functions, M-estimation, U and V statistics and associated stochastic decompositions; non-parametric function estimation and associated minimax theory; semiparametric models; Monte Carlo methods and bootstrap methods; distributionfree and equivariant procedures; topics in machine learning. Topics covered may vary with instructor."
STAT
215B
Statistical Models: Theory and Application Course builds on 215A in developing critical thinking skills and the techniques of advanced applied statistics. Particular topics vary with instructor. Examples of possible topics include planning and design of experiments, ANOVA and random effects models, splines, classification, spatial statistics, categorical data analysis, survival analysis, and multivariate analysis."

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