BAX Business Analytics

Courses in BAX:
BAX 400Foundations of Analytics (2) Review all entries Historical
Lecture—1 hour(s). Focuses on teaching the fundamentals of R and SQL. Introduces the topic of numerical optimization, and review the concepts of linear algebra and calculus. (Letter.) Effective: 2018 Summer Session 1.
BAX 400Foundations of Analytics (4) Review all entries Active
Lecture—3 hour(s). Focuses on teaching the fundamentals of R and SQL. Introduces the topic of numerical optimization, and review the concepts of linear algebra and calculus. (Letter.) Effective: 2019 Fall Quarter.
BAX 401Introduction to Business Analytics (2) Review all entries Historical
Lecture—2 hour(s). Introduction to the process of analyzing raw data to gain profitable business insight. Applications selected across organizational functions include prediction, process improvement, and general operational decision-making. (Letter.) Effective: 2017 Fall Quarter.
BAX 401Introduction to Business Analytics (3) Review all entries Active
Lecture—3 hour(s). Introduction to the process of analyzing raw data to gain profitable business insight. Applications selected across organizational functions include prediction, process improvement, and general operational decision-making. (Letter.) Effective: 2019 Fall Quarter.
BAX 402Organizational Issues in Implementing Analytics (2) Review all entries Historical
Lecture—2 hour(s). Review the evolution of analytics in business, how to assemble and manage analytics teams, and the decision life-cycle. Emphasis on structuring communications to improve buy-in from peers and non-quantitatively-inclined colleagues. (Letter.) Effective: 2018 Winter Quarter.
BAX 402Organizational Issues in Implementing Analytics (3) Review all entries Active
Lecture—3 hour(s). Review the evolution of analytics in business, how to assemble and manage analytics teams, and the decision life-cycle. Emphasis on structuring communications to improve buy-in from peers and non-quantitatively-inclined colleagues. (Letter.) Effective: 2019 Fall Quarter.
BAX 403Organizational Effectiveness Workshop (2) Active
Lecture—2 hour(s). Examine leadership, communication, and project management within the business, legal and societal contexts in which analytics is applied. Emphasis on privacy, data security, responsibility, and ethics. (Letter.) Effective: 2017 Fall Quarter.
BAX 411Problem Structuring (2) Active
Lecture—2 hour(s). Synthesize data-rich business challenges using analytic frameworks and techniques for modeling business problems. Emphasis on modeling uncertainty, optimizing multiple criteria, and building consensus. (Letter.) Effective: 2017 Fall Quarter.
BAX 421Data Management (2) Active
Lecture—2 hour(s). Introduction to the extraction, assembly, storage and organization of data in IT systems. (Letter.) Effective: 2017 Fall Quarter.
BAX 422Big Data (2) Active
Lecture—2 hour(s). Introduction to business applications involving standard, streaming, and network data. Emphasis on scalable technologies for processing and analyzing big data for diverse applications. (Letter.) Effective: 2017 Fall Quarter.
BAX 423Data Design and Representation (2) Active
Lecture—2 hour(s). Students learn computational reasoning about data representations by mapping conceptual data models to relational structures and analyzing database architectures and design tradeoffs. (Letter.) Effective: 2017 Fall Quarter.
BAX 431Data Visualization (2) Active
Lecture—2 hour(s). Extract insights using visualization tools in R, Python, ManyEyes, HTML/CSS, etc. Standard (histograms, boxplots, and dashboards) and specialized (3D, animation, word clouds) formats are covered. (Letter.) Effective: 2017 Fall Quarter.
BAX 441Statistical Exploration and Reasoning (2) Review all entries Historical
Lecture—2 hour(s). Introduction to statistical reasoning and inference extraction from large data-sets. Students learn to obtain preliminary insights and form initial hypotheses through exploratory data analysis (EDA). (Letter.) Effective: 2017 Fall Quarter.
BAX 441Statistical Exploration & Reasoning (3) Review all entries Active
Lecture—3 hour(s). Introduction to statistical reasoning and inference extraction from large data-sets. Learn to obtain preliminary insights and form initial hypotheses through exploratory data analysis (EDA). (Letter.) Effective: 2019 Fall Quarter.
BAX 442Advanced Statistics (3) Active
Lecture—3 hour(s). Continue exploring statistical reasoning using maximum likelihood estimation, Bayesian models, nonparametric models, Monte Carlo Markov Chain, time series, model specification, model selection, and dimension reduction. (Letter.) Effective: 2017 Fall Quarter.
BAX 443Analytic Decision Making (3) Active
Lecture—3 hour(s). Using spreadsheets and specialized modeling tools, explore structured problem solution through meta-heuristics, Monte Carlo simulation, and mathematical optimization. (Letter.) Effective: 2017 Fall Quarter.
BAX 452Machine Learning (3) Active
Lecture—3 hour(s). Construct algorithms for learning from data and analyze the process for deriving business intelligence. Coverage of supervised and unsupervised learning, neural networks, etc. (Letter.) Effective: 2017 Fall Quarter.
BAX 453Application Domains (3) Active
Lecture—3 hour(s). Students explore contemporary and emerging domains for high-yield applications of analytics. Topics: social network analytics, search analytics, health care analytics, internet of things, supply chain/operations analytics, and marketing analytics. (Letter.) Effective: 2017 Winter Quarter.
BAX 461Practicum Initiation (2) Review all entries Historical
Lecture—2 hour(s). Students form teams, scope their project in light of team capability and business opportunity, create a preliminary structure and solution approach for the core problem, and assess data quality and project risks. (Letter.) Effective: 2017 Fall Quarter.
BAX 461Practicum Initiation (3) Review all entries Active
Lecture—3 hour(s). Students form teams, scope their project in light of team capability and business opportunity, create a preliminary structure and solution approach for the core problem, and assess data quality and project risks. (Letter.) Effective: 2019 Fall Quarter.
BAX 462Practicum Elaboration (2) Review all entries Historical
Lecture—2 hour(s). Building on problems chosen in course 461, teams refine the business opportunity and draw insights from exploratory data analysis. (Letter.) Effective: 2017 Fall Quarter.
BAX 462Practicum Elaboration (2) Review all entries Active
Lecture—2 hour(s). Building on problems chosen in BAX 461, teams refine the business opportunity and draw insights from exploratory data analysis. (Letter.) Effective: 2019 Fall Quarter.
BAX 463Practicum Analysis (2) Review all entries Historical
Lecture—2 hour(s). Implement selected analytic approaches through iteratively refining assumptions and analysis, synchronizing client requirements with model results, and creating minimum viable prototypes. (Letter.) Effective: 2017 Fall Quarter.
BAX 463Practicum Analysis & Implementation (3) Review all entries Active
Lecture—3 hour(s). Focus on completing project deliverables by polishing statistical and non-statistical quantitative analysis, generating insights for technical and business stakeholders, integrating proposed solutions into partner workflows and organizations, and disseminating the findings and outcomes through presentations and publications. (Letter.) Effective: 2019 Fall Quarter.
BAX 464Practicum Implementation (4) Active
Lecture—2 hour(s); Project (Term Project); Term Paper; Discussion. Project teams complete analysis, plan deployment and obtain client buy-in. The course culminates in a project presentation, preferably including representatives from the client organization. (Letter.) Effective: 2017 Fall Quarter.
BAX 493People Analytics (3) Active
Lecture—2 hour(s). Open to students enrolled in the Masters in Business Analytics Program only. Students develop an understanding of how to position themselves as strategic partners in a company’s talent management efforts. Explore a range of topics related to people analytics, including hiring and selection, performance evaluation, training/development, promotion, compensation, social networks, diversity, and retention. (Letter.) Effective: 2020 Spring Quarter.
BAX 493ATopics in Business Analytics - Cloud Computing (1) Active
Lecture—1 hour(s). Open to students enrolled in the MSBA program only. Covers the foundations of cloud computing models including (Iaas) Infrastructure as a Service, (Paas) Platform as a Service, and Software as a Service (SaaS). (Letter.) Effective: 2019 Summer Quarter.
BAX 493BTopics in Business Analytics - Implementing Machine Learning on the Cloud (1) Active
Lecture—1 hour(s). Open to students enrolled in the MSBA program only. Covers the four layers of Machine Learning in the cloud: AI services, ML services, ML Engines & Frameworks, and Infrastructure & Serverless Environments and how to implement solutions on all of the layers by using the best abstraction for the task at hand. (Letter.) Effective: 2019 Summer Quarter.