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Dance |
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DANC 360 - Dance in the Community
Unit(s): 4
This course is designed for students who are interested in arts education, specifically teaching dance to children in school settings. This class meets on-campus twice a week to develop an understanding of the history and theory of children’s dance education and the ability to plan and implement dance curriculum. Students will teach off-campus once a week, applying the information from the class session to a practicum experience.
College of Arts and Sciences
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DANC 390 - Special Topics in Dance: Lab
Unit(s): 0 to 2
One-time offerings of special interest topics and/or guest artist teaching in dance.
College of Arts and Sciences
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DANC 391 - Special Topics in Dance: Sem
Unit(s): 3 to 4
One-time offerings of special interest topics, guest artist teaching, or non-Western subject areas in dance.
College of Arts and Sciences
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DANC 398 - Directed Study
Unit(s): 1 to 4
Independent dance-based project overseen by faculty adviser. By permission of instructor.
College of Arts and Sciences
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DANC 480 - Workshop in Dance Production
Unit(s): 0 to 4
This course if fulfilled through participation in the USF Dance Ensemble Fall or Spring concert and/or the USF intergenerational performance company, the Dance Generators. Dancers must audition and attend all rehearsals and performances to receive credit for this course. Students may also receive credit for this course by being involved in the production aspects of these performances.
College of Arts and Sciences
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Data Science (BS) |
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BSDS 100 - Intro to Data Science with R
Unit(s): 4
This course provides an introduction to data science and analytics, and gives an overview of the basic techniques for making informed, data-driven decisions using the R programming language. Students use R and RStudio to visualize, wrangle, manipulate, and explore data of many types and sizes.
College of Arts and Sciences
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BSDS 200 - Applied Data Science Methods
Unit(s): 4
A key component of modern data science is the extraction of data from a database management system into another environment for manipulation and analysis. This course builds on basic computer science and data analysis skills and focuses on the manipulation of datasets with Python and SQL.
Prerequisite: CS 110 and concurrent MATH 230 and BSDS 100
College of Arts and Sciences
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Data Science (MS) |
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MSDS 501 - Computation for Analytics
Unit(s): 1
An intense review of Python programming and an introduction to a variety of computational problems. Topics include functions, recursion, loops, list comprehensions, elementary data structures, reading and writing files, image processing, and gradient descent optimization.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 502 - Review of Linear Algebra
Unit(s): 1
Topics include matrix operations, linear systems of equations, vector spaces, linear independence, basis and dimension, row/column space, and the rank-nullity theorem; eigenvectors, eigenvalues, and diagonalization of matrices; LU, spectral, and SV decompositions.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 504 - Review Probability and Stats
Unit(s): 1
A review of random variables, moments, and maximum likelihood estimation; elementary hypothesis tests and con dence intervals; Kolmogorov’s axioms, independence, the Law of Total Probability, and Bayes’ Theorem; and multivariate distributions, conditional expectation, and Bayesian estimation.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 593 - EDA and Visualization
Unit(s): 1
This course uses statistical computing languages to provide a thorough introduction to exploring and visualizing data using charts, graphics and interactive dashboards. Other topics include advanced statistic language functionality and using statistical measures to communicate data concepts.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 596 - EDA, Visualization, and Ethics
Unit(s): 2
This hands-on course offers an applied and practical introduction to exploring, visualizing and understanding ethical data concerns. Students use open source software to directly produce analysis, generate practical insights and characterize potential ethical data problems. Specific applications include using Jupyter Notebooks, Pandas and Numpy to manipulate data in Python (with a focus on graphical data representations). A core component of this course is its focus on ethical, moral and legal considerations when using data.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 597 - Data Management
Unit(s): 2
This hands-on course offers an applied, practical introduction to programmatically using data. Students use open source software (Python and SQL) to explore the manipulation of data and are exposed to concepts around loading and saving data, aggregating, joining and applying transformations to different, real-world, data sets.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 598 - Modeling I
Unit(s): 2
This hands-on course offers an applied, practical introduction to statistical modeling with data. Students use open-source software to explore, implement and interpret statistical models to gain insights from data.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 599 - Modeling II: Machine Learning
Unit(s): 2
This hands-on course offers an applied, practical introduction to machine learning. Students use open-source software to explore machine learning algorithms applied to real-world data sets. Applications involve both supervised and unsupervised learning in a variety of domains.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 601 - Linear Regression Analysis
Unit(s): 2
This course is an intensive introduction to linear models, with a focus on both principles and practice. Examples from finance, business, marketing and economics are emphasized. Large data sets are used frequently. Topics include simple and multiple linear regression; weighted, generalized, and outlier-resistant least squares regression; interaction terms; transformations; regression diagnostics and addressing violations of regression assumptions; variable selection techniques like backward elimination and forward selection, and logit/probit models. Statistical packages include R and SAS.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 603 - Product Analytics
Unit(s): 2
In this course students will develop a minimum viable data product. Using case-studies, students will learn about data-focused companies, their strategies, opportunities and challenges. Some traditional business frameworks will be presented to assist in evaluating strategic data opportunities.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 604 - Time Series Analysis
Unit(s): 2
A survey of the theory and application of time series models using R. Tools for model identi cation, estimation, and assessment are developed in depth. Trend and seasonal decomposition models (e.g., Box-Jenkins) are covered, as are smoothing techniques (e.g., Holt-Winters).
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 605 - Practicum I
Unit(s): 1
The practicum is a data science project sponsored by a company and mentored by a faculty member, allowing students to apply skills alongside industry partners to gain experience, and reconcile mathematical or computational theory with business practice in an apprenticeship style of learning.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 610 - Communications for Analytics
Unit(s): 1
In this course, students will learn essential concepts related to business communication and, in particular, the communication of technical material both spoken and written. Students will learn how to competently create, organize, and support ideas in their business presentations. They will deliver both planned and extemporaneous public presentations on topics related to data analysis and business, both individually and in groups. This course will emphasize the creation of presentation slides and other supporting materials, the correct presentation and organization of data analysis results, and listening to and critically evaluating presentations made by other students.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 621 - Intro to Machine Learning
Unit(s): 2
This course focuses on the implementation and application of supervised and unsupervised machine learning algorithms using Python and related libraries. Students learn to properly select features and evaluate model accuracy. Models include at least kNN, naive Bayes, random forests, and clustering.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 623 - Multivariate Statistics
Unit(s): 2
This course trains students in the use of multivariate statistical methods other than multiple linear regression, which is covered in MSDS 601. Applications to finance, social science, and marketing data are emphasized (e.g., dimension reduction for Treasury yield curves and consumer microdata). Topics include principal components analysis, factor regression, linear and quadratic discriminant analysis, ANOVA and MANOVA, repeated measures ANOVA, and various clustering techniques (k-means, hierarchical, spectral, total variation, etc.). Statistical packages include R and SAS.
College of Arts and Sciences
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MSDS 625 - Practicum II
Unit(s): 2
Students continue to develop skills alongside industry partners and faculty mentors. They gain real-world experience, and reconcile both mathematical and computational theory with business practice in an apprenticeship style of learning.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 626 - Case Studies in Data Science
Unit(s): 2
This course focuses on the application of data science to solve real world problems. Topics to be covered include modeling, analysis, visualization, prediction and informed decision making, as well as data security and data privacy.
Restriction: Level Restricted to Graduate; Field of Study restricted to Data Science Major
College of Arts and Sciences
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MSDS 627 - Practicum III
Unit(s): 2
Students continue to develop skills alongside industry partners and faculty mentors. They gain real-world experience, and reconcile both mathematical and computational theory with business practice in an apprenticeship style of learning.
Prerequisite: (MSAN 604 with a minimum grade of C or MSDS 604 with a minimum grade of C) and (MSAN 605 with a minimum grade of C or MSDS 605 with a minimum grade of C) and (MSAN 621 with a minimum grade of C or MSDS 621 with a minimum grade of C)
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 629 - Experiments in Data Science
Unit(s): 2
A survey of statistical methods and best practices surrounding the design and analysis of experiments in the Jeld of data science. A/B tests, A/B/n tests, factorial and fractional factorial designs, response surface methodology and multi-armed bandit experiments will all be treated.
Prerequisite: (MSAN 504 with a minimum grade of C or MSDS 504 with a minimum grade of C) and (MSAN 601 with a minimum grade of C or MSDS 601 with a minimum grade of C)
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 630 - Advanced Machine Learning
Unit(s): 2
Students study advanced machine learning algorithms, including boosting, collaborative filtering, support vector machines, expectation maximization for Gaussian mixture models, hidden Markov models, and deep learning neural networks. Teams of students carry out a large-scale real-world project.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 631 - Special Topics in Analytics
Unit(s): 1 to 2
Topics will be selected from geographic information systems (GIS), political analytics, sports analytics, supply chain analytics, optimization and simulation, and marketing analytics.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 632 - Practicum IV
Unit(s): 1
A continuation of MSAN 627 and conclusion of the practicum program. Students apply skills alongside industry partners and faculty mentors to finish projects and produce quality deliverables, as they fully integrate theoretical analytics coursework with the demands of their practicum experiences.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 633 - Ethics in Data Science
Unit(s): 1
This course introduces ethical and privacy problems in data collection, algorithms, and evaluation. Students engage with the social and ethical issues in data science, reflect on these issues, and evaluate possible solutions.
Restriction: Level Restricted to Graduate; Field of Study restricted to Data Science Major
College of Arts and Sciences
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MSDS 640 - Seminar Series I
Unit(s): 0
Students learn from presentations given by academic researchers, technology executives, practicing data scientists, and business analysts from the Bay Area and beyond. These presentations are open to the public.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 641 - Seminar Series II
Unit(s): 0
A continuation of MSDS 640. Students continue to participate in weekly presentations and discussions led by local business analysts, data scientists, program alumni, and academic researchers.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 642 - Seminar Series III
Unit(s): 0
Students continue to participate in weekly presentations and discussions led by local business analysts, data scientists, program alumni, and academic researchers.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 643 - Seminar Series IV
Unit(s): 0
Students continue to participate in weekly presentations, but at this point during the program, the seminar series also provides students with critical networking and job search opportunities.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 644 - Seminar Series V
Unit(s): 0
A continuation of MSAN 643. Students continue to participate in weekly presentations as the program draws to a close. At this point, the seminar series provides students with critical networking and job search opportunities.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 689 - Data Structures and Algorithms
Unit(s): 1
This course gives students a comprehensive view of data structures and algorithms. While students have already examined a number of data structures, this course provides a more in-depth study. The critical data structures covered are lists, linked lists, trees, graphs, hash tables, and tries.
Prerequisite: MSAN 692 or MSDS 692
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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MSDS 691 - Relational Databases
Unit(s): 1
An introduction to relational databases focusing on learning SQL with the Postgres database. Topics include schemas (tables in various normal forms), indexes, query efficiency, server-specific navigation functions, and queries with grouping, ordering, sorting, collapsing, and joins.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 692 - Data Acquisition
Unit(s): 2
This lab-heavy Python class teaches students how to collect, merge, and clean data from multiple sources and organize it into appropriate data structures. Topics include XML, JSON, HTML, REST APIs, scraping data from websites, and using Selenium to extract data from JavaScript-based pages.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 694 - Distributed Computing
Unit(s): 1
Students learn the MapReduce technique of distributed computing. The fundamental principles are first learned with the Python multiprocessing library, in which students build their own con-current MapReduce framework. Considerable time is spent exploring practical application of mapping and reducing for various types of real world data. Distributed statistical and machine learning approaches are explored. Finally, Hadoop streaming MapReduce jobs (in Python) are launched on AWS-EMR.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 697 - Distributed Data Systems
Unit(s): 2
Students study key-value store through NoSQL with a focus on using MongoDB (including, possibly, pymongo, the Python Mongo API). Applications are used to motivate a disciplined approach to database programming with MongoDB, including the construction of indices.
Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences
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MSDS 699 - Machine Learning Laboratory
Unit(s): 1
This is a lab course associated with MSDS 621. MSDS 621 focuses on algorithmic development of models, whereas in this lab students learn to use pre-existing implementations of these machine learning models and focus on feature engineering, validation, testing and assessment.
Restriction: Level Restricted to Graduate; Field of Study restricted to Data Science Major
College of Arts and Sciences
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Digital Tech Teach Learning |
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DTTL 601 - Digital Media Literacy
Unit(s): 3
Introduction to the vocabulary, concepts, media tools and pedagogy for the effective and appropriate integration of technology into learning environments as a tool for developing literacy and 21st century knowledge processing. The course addresses the issues of institutional readiness, faculty needs and maximal student learning at a variety of levels.
Restriction: College restricted to School of Education; Level Restricted to Doctoral and Graduate
School of Education
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DTTL 641 - Cyberculture: Bldg Online Comm
Unit(s): 3
The concepts and theories of social computing are introduced in this course. It explores distance and distributed learning, varied techniques to promote mentoring, reflective discourse, collegial sharing, and dissemination of information. Research in current technologies inform the development of online community of student choice.
Restriction: College restricted to School of Education; Level Restricted to Doctoral and Graduate
School of Education
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DTTL 650 - Digital Storytell Comm Media
Unit(s): 3
This course explores the ways in which storytelling is a constant in an ever-changing world. Technology innovations challenge educators/trainers to reconsider old models of communication to convey meaning and information. Evaluates the role of storytelling in a digital era as well as the impact of technology on individuals and cultures.
Restriction: College restricted to School of Education; Level Restricted to Doctoral and Graduate
School of Education
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DTTL 697 - Directed Study
Unit(s): 1 to 6
Independent, in-depth study of a specific educational topic may be designed to meet the research and practicum interest of the student.
Restriction: College restricted to School of Education; Level Restricted to Doctoral and Graduate
School of Education
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DTTL 698 - Special Topic Seminar
Unit(s): 1 to 3
Exploration of one or more selected topics in Digital Technologies for Teaching and Learning
Restriction: College restricted to School of Education; Level Restricted to Doctoral and Graduate
School of Education
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Economics |
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ECON 111 - Principles of Microeconomics
Unit(s): 4
Introduction to price theory, stressing market structures, distribution, and the organization of economic systems. Offered Fall and Spring.
College of Arts and Sciences
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ECON 112 - Principles of Macroeconomics
Unit(s): 4
Introduction to aggregate economics, stressing the forces that shape overall economic activity and determine economic growth, employment, interest rates, and inflation. Offered Fall and Spring.
College of Arts and Sciences
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ECON 120 - Economic Methods
Unit(s): 4
An introduction to the statistical tools and mathematical techniques that economists use to analyze the world. The course leads students through the tools needed for study of economics at an intermediate and advanced level. Offered every Fall.
Prerequisite: MATH 101
College of Arts and Sciences
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ECON 190 - IDEC Summer Bridge: Economics
Unit(s): 0
The IDEC Summer Bridge - Economics course is a 3 week intensive study course that is designed to prepare students for entry into the IDEC Masters Program. The course covers economic principles, microeconomics, macroeconomics.
College of Arts and Sciences
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ECON 191 - IDEC Summer Bridge: Math
Unit(s): 0
The IDEC Summer Bridge - Math course is a 3-week intensive study course that is designed to prepare students for entry into the IDEC Masters Program. The course covers essential techniques for economic analysis including linear algebra, general function models, differential calculus, statistics and hypothesis testing.
College of Arts and Sciences
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ECON 230 - Environmental Economics
Unit(s): 4
Significant changes to the world environment have been brought on by increasing levels of economic industrialization. This course studies both broad trends at the macro level in the quality of air, water, and land resources as well as the underlying causes of these changes at the micro level. Students will learn to apply basic economic theory to better understand phenomena such as the ‘tragedy of the commons’, environmental pollution and resource degradation, and how we can become better stewards of creation.
College of Arts and Sciences
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ECON 280 - The Global Economy
Unit(s): 4
This course offers an introduction to the world economy, international trade, and economic development, designed especially for non-economics majors. Foundations of international markets and trade, comparative advantage, foreign investment, international inequality, and the study of international institutions such as the IMF, the World Bank, and the World Trade Organization will form key components of the class.
Restriction: Class restrictions exclude Senior
College of Arts and Sciences
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ECON 283 - Economies of Asia
Unit(s): 4
This course surveys the economic development/economic growth process, political system, and the current economic issues of the East Asian and Southeast Asian countries including China, Hong Kong, Japan, Singapore, South Korea, North Korea, Taiwan, Malaysia, Indonesia, the Philippines, Thailand, Vietnam, and India. Students will emerge from the course with a solid understanding of Asian culture, society, and economics.
College of Arts and Sciences
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ECON 286 - Hist of Econ - Latin Amer
Unit(s): 4
Economic theory and historical accounts are combined in an attempt to understand the various forces that have shaped economic development in Latin America. The first half of the course looks at historic and macroeconomic issues. We will discuss development policies ranging from the import-substituting industrialization policies of the 1950s-1970s, to the market-oriented reforms of the 1980s through the present. The second half of the course will look at microeconomic issues such as poverty, inequality, agriculture, education, and corruption.
Prerequisite: ECON 280 or ECON 111 or ECON 112
College of Arts and Sciences
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ECON 300 - U.S. Economic History
Unit(s): 4
This course investigates the growth and development of the American economy from colonial times to the present and also examines the most important commentary on contemporary issues of economic and social policy and justice. The curriculum emphasizes America’s role as the first frontier economy to industrialize and its role as the only pre-WWI industrial economy with a frontier, as well as the growth of the giant industrial enterprise and wealth-accumulation over the last hundred years. Students read and discuss John Maynard Keynes’ General Theory, Milton Friedman’s Capitalism and Freedom, Ayn Rand’s Capitalism and the Catholic Bishops’ Economic Justice for All because most commentary on contemporary issues of economic and social policy and justice derive from these works.
College of Arts and Sciences
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ECON 306 - Economies of Modern Europe
Unit(s): 4
European economic, political, and social developments from the Industrial Revolution to modern times. Topics include Europe’s key place in the development of the modern world economy, European industrial stagnation between the World Wars, Europe’s economic miracle after W.W.II, and the recent movement towards European unification. Offered as demand dictates.
College of Arts and Sciences
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ECON 310 - Foundations of Econ Thought
Unit(s): 4
A course in the history of economic thought, exploring the intellectual foundations of the analysis of economic problems and policies. Offered as demand dictates.
Prerequisite: ECON 111 or ECON 112
College of Arts and Sciences
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ECON 311 - Intermediate Microeconomics
Unit(s): 4
Course examines the choices and decisions of consumers and firms in the context of full information, uncertainty, and imperfect information. Offered every Fall.
Prerequisite: (ECON 111 or ECON 101) and (ECON 112 or ECON 102)
College of Arts and Sciences
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ECON 312 - Intermediate Macroeconomics
Unit(s): 4
Analysis of national income determination; function of money and commercial banking; methods and objectives of fiscal policy. Offered every Spring.
Prerequisite: (concurrent ECON 111 or ECON 101) and (concurrent ECON 112 or ECON 102)
College of Arts and Sciences
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ECON 318 - Game Theory
Unit(s): 4
An introduction to the basic concepts of game theory with emphasis on strategic interaction in the real world. Strategic interaction affects every facet of life; from businesses jockeying for dominance in a marketplace, to politicians vying for re-election, to nations in international conflict. The class studies solution concepts for an array of games from different fields of study. Offered every Spring.
Prerequisite: ECON 111 and (ECON 120 or MATH 109)
College of Arts and Sciences
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ECON 320 - Econometrics
Unit(s): 4
This course prepares the student in the use of econometric techniques, such as linear regression, hypothesis testing, and model-building. The focus is on the application of econometrics to applied problems in finance, macroeconomics, development, and international. Offered every Spring.
Prerequisite: ECON 120
College of Arts and Sciences
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ECON 324 - Fundamentals of Macro Data
Unit(s): 4
This course teaches how to obtain, understand, and use macroeconomic and financial data for analysis and forecasting. Students learn about macroeconomic indicators measuring growth, inflation, unemployment, housing prices, and other important economic variables.
Prerequisite: ECON 112 or ECON 102
College of Arts and Sciences
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ECON 350 - Money, Banking, and Financial Institutions
Unit(s): 4
This course investigates the changing role of financial institutions, financial markets, and monetary policy in a modern economy. The focus is on how monetary policy influences macroeconomic variables and financial institutions and markets. Offered every Fall.
Prerequisite: ECON 111 or ECON 101 or ECON 112 or ECON 102
College of Arts and Sciences
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ECON 365 - Behavioral Economics
Unit(s): 2
Behavioral Economics uses insights from psychology to explain human decision-making that deviates from the rational person model assumed in economic theory. The goal is to enhance existing models of how humans make choices individually and in groups in order to better explain economic phenomena.
Prerequisite: ECON 111
College of Arts and Sciences
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ECON 368 - Economics, Politics & Culture
Unit(s): 2
This course focuses on formal institutions, (e.g., political structures, laws, and regulations) and informal institutions, (e.g. religion, social norms, and culture) in determining individual and group behavior and ultimately economic performance. Although all economic activity takes place within a framework of institutions, neo-classical economics has overlooked institutions by adhering to the fiction of the frictionless market in its models.
Prerequisite: ECON 111
College of Arts and Sciences
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ECON 370 - International Economics
Unit(s): 4
Introduction to the theory and policy of international trade and international economic relations. Course also covers areas of migration, international corporations, and investment. Offered every Fall.
Prerequisite: ECON 111 or ECON 112
College of Arts and Sciences
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ECON 372 - Development Economics
Unit(s): 4
Conceptual and statistical tools of economic analysis to address the major economic development challenges of our time, including income growth, poverty and hunger, inequality, education and health, demographic change, and impact evaluation of development policies and programs.
Prerequisite: (ECON 111 and ECON 112)
College of Arts and Sciences
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ECON 390 - Experimental Courses
Unit(s): 1 to 4
Courses not presently in the catalog which the department offers on an experimental basis.
College of Arts and Sciences
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ECON 398 - Directed Reading
Unit(s): 1 to 4
The written permission of the instructor and the Chair of Economics is required.
College of Arts and Sciences
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ECON 415 - Mathematics for Economists
Unit(s): 4
Applications of linear algebra and calculus to equilibrium, dynamic, and optimizing models of economic theory. Offered every Fall.
Prerequisite: ECON 120 or ECON 311
College of Arts and Sciences
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ECON 416 - Special Topics/Math Econ
Unit(s): 4
Topics may include: Applications of differential equations, phase diagrams analysis, stability analysis, optimal control theory, calculus of variations, applications in probability and statistics to financial economics and the economics of uncertainty, differential games, and dynamic programming in economics. Offered as demand merits.
Prerequisite: ECON 415
College of Arts and Sciences
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ECON 425 - Econometrics of Fin Markets
Unit(s): 4
This course introduces students to the econometric theory and techniques most useful in examining and testing models common in finance and macro-economics. This includes such topics as forecasting prices and returns of financial instruments, testing hypotheses regarding market efficiency and arbitrage, and modeling the time-series nature of financial market data.
Prerequisite: concurrent ECON 311 and ECON 320 and concurrent ECON 312
College of Arts and Sciences
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ECON 427 - Applied Econometrics Capstone
Unit(s): 4
Introduces more advanced econometrics topics and guides students to synthesize material from their Economics major to research and write a senior thesis. Topics include binary dependent variables, analysis of panel data, instrumental variables estimation, treatment effects estimation, quantile regression, and nonparametric estimation.
Prerequisite: ECON 311 and ECON 312 and ECON 320
Restriction: Field of study restricted to Economics Major
College of Arts and Sciences
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ECON 451 - Monetary Economics
Unit(s): 4
This course concentrates on the role played by money in influencing macroeconomic variables such as output, interest rates, and inflation. It also investigates the ways in which government can control economic activity through its regulation of the banking system and the supply of money.
Prerequisite: ECON 312 and ECON 350
College of Arts and Sciences
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ECON 452 - Model Federal Reserve
Unit(s): 2
This course is designed in conjunction with the Federal Reserve Bank of San Francisco and San Francisco State University. Students will study closely on the functions and structure of the Federal Reserve System and its policy making.
Prerequisite: ECON 112
College of Arts and Sciences
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ECON 455 - Options and Futures
Unit(s): 4
Options, futures and other derivative contracts are widely used to manage risk by businesses and financial institutions. This course provides students with a solid understanding of: i) the economic functions of futures, forwards and options; ii) the operation of futures and options markets; iii) the pricing of futures, options and other derivatives; and iv) basic strategies in trading options. Offered every Spring.
Prerequisite: ECON 120 or MATH 109
College of Arts and Sciences
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ECON 463 - Experimental Economics
Unit(s): 2
This course introduces modern laboratory experimental methods to students with well-developed interests in economics and with an intermediate-level knowledge of microeconomics and statistics. The course examines experimental techniques in detail and surveys recent applications in fields such as markets, development, choice under certainty and games. Students use the lessons to conduct original research and set up their own experiment.
Prerequisite: ECON 311
College of Arts and Sciences
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ECON 465 - Law and Economics
Unit(s): 4
Law and Economics offers undergraduates an understanding of how economic theory provides a framework to analyze legal systems. It will also teach students the fundamental importance of the law in fostering economic growth and development. The economic foundations of both domestic and international institutions will be studied extensively.
Prerequisite: ECON 311
College of Arts and Sciences
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ECON 471 - International Finance
Unit(s): 4
The world monetary system, international monetary policy, foreign exchange markets and their uses in the fields of international investments and finance. Offered every Spring.
Prerequisite: ECON 312
College of Arts and Sciences
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ECON 473 - Development Microeconomics
Unit(s): 2
Study of microeconomic behavior in developing countries, especially focusing on development traps, causes and consequences of poverty, economics of corruption, credit and labor issues, and women in development. Offered every Spring.
Prerequisite: ECON 311
College of Arts and Sciences
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ECON 474 - Development Macroeconomics
Unit(s): 4
This course in development macroeconomics studies economic stabilization and growth policy in low-income countries. Students will learn structural and endogenous growth paradigms, the role of governance and institution-building in economic transformation, and balance sheet dynamics in macroeconomic growth.
Prerequisite: ECON 312
College of Arts and Sciences
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ECON 476 - Nat Resource Econ & Dev Policy
Unit(s): 2
Natural resources and the environment and their role in economic development are hotly debated issues. For some countries the abundance of natural resources has been a curse, for others it has been a boon. This course will examine the issues surrounding changes in the environment in developing nations during the process of industrialization, trade-offs between economic growth and resource depletion, and sustainable development.
Prerequisite: ECON 311
College of Arts and Sciences
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ECON 477 - International Political Econ
Unit(s): 4
Study of the economic, political and technological forces that have shaped the post-war international economic system. Topics include the role of multilateral financial institutions, economic regionalism, the North-South gap, relationships between states and markets, economic globalization and its implications, and challenges to sustainable development.
Prerequisite: ECON 312
College of Arts and Sciences
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ECON 478 - Population & Labor Economics
Unit(s): 4
The uses of economic analysis to understand the problems of population growth and population policy, household formation, immigration, labor market discrimination, and income inequality and poverty.
College of Arts and Sciences
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ECON 479 - Adv Topics in Int’l Economics
Unit(s): 4
This course focuses on current international economic policy issues, including the on-going global financial crisis, the challenges and opportunities of globalization for developing as well as developed countries, the stress in the current international monetary and trade systems resulting from the rapid development of India and China and the external adjustment problems of the United States, and the evolving role of the IMF.
Prerequisite: ECON 370 and ECON 471
College of Arts and Sciences
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ECON 501 - Applied Microeconomic Theory
Unit(s): 2
This course teaches the foundational theoretical concepts that underpin modern applied microeconomics.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 521 - Statistics in Data Vis in R
Unit(s): 4
This course covers an introduction to basic statistics, common statistical distributions, hypothesis testing, and an introduction to programming in R. Course examples include data from randomized controlled trials studying poverty interventions among low-income populations. While providing a foundational overview of statistics, the class familiarizes students with new research in the development studies field. Students are introduced to R, which is used throughout the certificate, and learn to use R for statistical analysis as well as for creating professional-looking graphics.
College of Arts and Sciences
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ECON 522 - Experimental Methods
Unit(s): 4
Understanding the experimental method is key to estimating impacts of an array of development programs and policies. This course gives students exposure to experimental methodology, laboratory experiments, and field experiments. Students learn how to collect and measure both objective and subjective phenomena and to run experiments in a variety of settings and for a broad range of interventions. The course also provides an introduction to sampling, creation of questionnaires, tablet survey software, and the design of indices used for a wide array of social, economic, and psychological applications.
College of Arts and Sciences
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ECON 523 - Introduction to Econometrics
Unit(s): 4
This course introduces students to modern regression analysis used in the applied social sciences. It focuses on Ordinary Least Squares (OLS) regression, the assumptions of the OLS model, multivariate regression, how to address violations of the assumptions of the basic OLS model, and how to build and test regression models with continuous, discrete, and categorical variables. Along with material in econometrics, the course also introduces students to topics in psychometrics including factor analysis, principal components, and the creation of psychological indices. Examples used in the class include social impacts from health, psychology, education, and microenterprise programs.
College of Arts and Sciences
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ECON 527 - Causal Econmtrics & Mach Lrng
Unit(s): 4
Valid program evaluation and the testing of treatment effects requires a strong understanding of causal statistics. In this course students learn how to identify causal effects of development programs using methods such as interrupted time series, difference-in-differences, pipeline methods, covariate matching, instrumental variables, and regression discontinuity design. Students are introduced to basic machine-learning algorithms such as LASSO and ridge regression, and how these can be used to understand how social impacts vary among program beneficiaries.
College of Arts and Sciences
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ECON 601 - Microeconomics: Theory & Appl
Unit(s): 4
Advanced microeconomic theory is presented to analyze behavior of consumers and firms under national and international market conditions. Offered every Fall.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 602 - Macroeconomics: Theory & Appl
Unit(s): 3
Advanced theory in macroeconomics in the context of an open economy. Offered every Spring.
Prerequisite: ECON 615
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 603 - Core Microeconomic Theory
Unit(s): 2
Core theoretical concepts in graduate-level microeconomics, including utility, demand functions, cost functions, profit functions, decision-making under uncertainty, risk, information. Market functioning under perfect competition, monopoly, and oligopoly.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 606 - The Economies of Modern Europe
Unit(s): 3
European economic, political, and social developments from the Industrial Revolution to modern times. Topics include Europe’s key place in the development of the modern world economy, European industrial stagnation between the World Wars, Europe’s economic miracle after W.W.II, and the recent movement towards European unification.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 611 - Computation for Economics
Unit(s): 3
Introduction to computational skills used in empirical economic analysis. Basic principles of coding taught in the context of the acquisition, processing, and analysis of economic data. Topics include databases, functions, control structures, data types, strings, data structures, debugging, and version control.
College of Arts and Sciences
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ECON 615 - Mathematics for Economists
Unit(s): 4
Applications of linear algebra and calculus to equilibrium, dynamic, and optimization models of economic theory. Offered every Fall.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 620 - Graduate Econometrics
Unit(s): 4
Covers the essential econometric techniques for economic and business forecasting and decision analysis: regression theory and applications, time series analysis, and forecasting. Offered every Spring.
Prerequisite: ECON 615
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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ECON 621 - Data Science for Economics
Unit(s): 2
Introduction to data science approaches to empirical economic analysis using R. Reviews the fundamentals of programming and statistical inference. Covers key concepts and tools for data handling and exploratory data analysis. Introduces data visualization and causal inference.
College of Arts and Sciences
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ECON 622 - Machine Learning for Economics
Unit(s): 2
This course introduces the techniques of machine learning, with a focus on economic applications.
Restriction: Level Restricted to Graduate
College of Arts and Sciences
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