Introduction To Computer Science
CSCI-A591 with Professor Tobin-Hochstadt
A first course in computer science for those intending to take advanced computer science courses. Introduction to programming and to algorithm design and analysis. Using the Scheme programming language, the course covers several programming paradigms. Lecture and laboratory.
Introduction To Computer Science
CSCI-A591 with Professor Shan
A first course in computer science for those intending to take advanced computer science courses. Introduction to programming and to algorithm design and analysis. Using the Scheme programming language, the course covers several programming paradigms. Lecture and laboratory.
Introduction to Software Systems
CSCI-A592 with Professor Tobin-Hochstadt
Design of computer software systems and introduction to programming. Topics include the C++ programming language and its data structure facilities: building and maintaining large projects: shell tools and system calls. Introduction to object-oriented programming. Lecture and laboratory.
Computer Structures
CSCI-A593 with Professor Musser
Structure and internal operation of computers. The architecture and assembly language programming of a specific computer are stressed, in addition to general principles of hardware organization and low-level software systems. Lecture and laboratory.
Data Structures
CSCI-A594 with Professor Sabry
Systematic study of data structures encountered in computing problems; structure and use of storage media; methods of representing structured data; and techniques for operating on data structures. Lecture and laboratory.
Programming Languages
CSCI-A596 with Professor Friedman
Systematic approach to programming languages. Relationships among languages, properties and features of languages, and the computer environment necessary to use languages. Lecture and laboratory.
Introduction To Programming I
CSCI-A597 with Professor Lasassmeh
Fundamental programming constructs, including loops, arrays, classes, and files. General problem-solving techniques. Emphasis on modular programming, user-interface design, and developing good programming style. Not intended for computer science majors.
Algorithms Design And Analysis
CSCI-B503 with Professor Zhang
Models, algorithms, recurrences, summations, growth rates. Probabilistic tools, upper and lower bounds; worst-case and average-case analysis, amortized analysis, dynamization. Comparison-based algorithms: search, selection, sorting, hashing. Information extraction algorithms (graphs, databases). Graphs algorithms: spanning trees, shortest paths, connectivity, depth-first search, breadth-first search.
Applied Algorithms
CSCI-B505 with Professor Kulekci
The course studies the design, implementation, and analysis of algorithms and data structures as applied to real world problems. The topics include divide-and-conquer, optimization, and randomized algorithms applied to problems such as sorting, searching, and graph analysis. The course teaches trees, hash tables, heaps, and graphs.
Programming Language Principles
CSCI-B521 with Professor Friedman
ystematic approach to programming languages. Relationships among languages, properties and features of languages, the computer environment necessary to support language execution.
Machine Learning
CSCI-B555 with Professor Khardon
Theory and practice of constructing algorithms that learn functions and choose optimal decisions from data and knowledge. Topics include: mathematical/probabilistic foundations, MAP classification/regression, linear and logistic regression, neural networks, support vector machines, Bayesian networks, tree models, committee machines, kernel functions, EM, density estimation, accuracy estimation, normalization, model selection.
Advanced Database Concepts
CSCI-B561 with Professor Wang
Database models and systems: especially relational and object-oriented; relational database design theory; structures for efficient data access; query languages and processing; database applications development; views. Transaction management: concurrency and recovery.
Data Mining
CSCI -B565 with Professor Raphael
Algorithmic and practical aspects of discovering patterns and relationships in large databases. The course also provides hands-on experience in data analysis, clustering and prediction. Topics include: data preprocessing and exploration, data warehousing, association rule mining, classification and regression, clustering, anomaly detection, human factors and social issues in data mining.
Advanced Computer Graphics
CSCI-B581 with Professor Hmeljak
Introduction to graphics hardware and software. Two-dimensional graphics methods, transformations, and interactive methods. Three-dimensional graphics, transformations, viewing geometry, object modeling and interactive manipulation methods. Basic lighting and shading. Video and animation methods.
Applied Algorithims
CSCI -B505 with Professor Ergun
The course studies the design, implementation, and analysis of algorithms and data structures as applied to real world problems. The topics include divide-and-conquer, optimization, and randomized algorithms applied to problems such as sorting, searching, and graph analysis. The course teaches trees, hash tables, heaps, and graphs.
Elements of Artificial Intelligence
CSCI -B551 with Professor Leake
Introduction to major issues and approaches in artificial intelligence. Principles of reactive, goal-based, and utility-based agents. Problem-solving and search. Knowledge representation and design of representational vocabularies. Inference and theorem proving, reasoning under uncertainty, planning. Overview of machine learning.
Elements of Artificial Intelligence
CSCI -B551 with Professor Blanco Rodriguez
Introduction to major issues and approaches in artificial intelligence. Principles of reactive, goal-based, and utility-based agents. Problem-solving and search. Knowledge representation and design of representational vocabularies. Inference and theorem proving, reasoning under uncertainty, planning. Overview of machine learning.
Topics In Data Science: Data Science On-Ramp
DSCI-D590 with Professor Anousheh
Emphasis on new developments and research in Data Science.
Topics In Data Science: Introduction To NLP For Data Science
DSCI-D590 with Professor Scrivner
Emphasis on new developments and research in Data Science.
Topics In Data Science: Introduction To Python Programming
DSCI-D590 with Professor Kavousian
Emphasis on new developments and research in Data Science.
Topics In Data Science: Data Visualization
DSCI-D590 with Professor Ahn
Emphasis on new developments and research in Data Science.
Topics In Data Science: Applied Data Science
DSCI-D590 with Professor Scrivner
Emphasis on new developments and research in Data Science.
Data Science In Practice
DSCI-D592 with Professor Wild
Students are organized into teams to carry out real world projects in conjunction with project sponsors, while learning about methodologies for data science consulting.
Qualitative Inquiry In Education
EDUC-Y 611 with Professor Vellanki
Examination of qualitative approaches to educational inquiry (e.g. case study, naturalistic inquiry, educational anthropology, educational connoisseurship and criticism). Exploration of methods for collecting and analyzing qualitative data, criteria for field studies, and approaches to writing up field studies.
Qualitative Inquiry In Education
EDUC-Y 611 with Professor Carspecken
Examination of qualitative approaches to educational inquiry (e.g. case study, naturalistic inquiry, educational anthropology, educational connoisseurship and criticism). Exploration of methods for collecting and analyzing qualitative data, criteria for field studies, and approaches to writing up field studies.
Critical Qualitative Inquiry I
EDUC-Y 612 with Professor Dennis
This first course in the sequence provides an introduction to critical social theory as it emerges through the context of qualitative research. Students begin corresponding field work, including both data collection and analysis.
How To Teach And Engage K-16 In Online Learning (Workshop In Instructional Systems Technology (Variable Title))
EDUC-R 505 with Professor Karlin
Topical workshops on selected media/technology emphasizing hands-on experience. Content will vary; e.g. multi-image, microcomputers, simulations/games. This is a service course that may or may not be applicable to IST majors depending on workshop topic and content.
Machine Learning Methods for ED and Social Science
EDUC -Y650 with Professor Huang
Advanced study of research and theory on selected topics in qualitative or quantitative inquiry methodology.
Introduction to Medieval French Literature
FRIT-F501 with Professor Hebbard
This course offers a general introduction to vernacular literature from medieval France through major works, themes, and critical approaches with an emphasis on transferrable research skills: archival work, premodern primary sources, medieval manuscript culture, philology and critical edition, and the digital tools available for working in all those areas. In the first part of the course, students will develop some reading fluence in medieval French through guided grammar study and familiarity with manuscript culture through encountering manuscripts at the Lilly Library. Coursework includes translations of short excerpts from our primary readings, reading responses, and a long-term collaborative digital critical edition project of a medieval work in multiple manuscript versions. Reading knowledge of modern French or another romance language is required, but the course will be conducted in English.
17th-Century French Drama: New Approaches to 17th-Century French Drama: Research, Teaching, Performance
FRIT-F632 with Professor Calhoun
This seminar will explore how today's treatment of drama from the Grand Siècle problematizes, ignores, or respects its "classical" designation. Our main aim will be to analyze new approaches to seventeenth century drama from the perspectives of research (scholarly critique, digital humanities), teaching (pedagogy), and performance (recent productions, remakes, and adaptations). Students will come away from the seminar having reviewed plays from the canon and theories of classical theater, studied the emergence of French opera, surveyed a selection of the most recent pathways in theater research, including efforts in digital humanities, collectively developed a syllabus for an undergraduate course, and analyzed the latest stagings and performances of these classical works in the francophone world. Readings will focus on plays, opera, and comedy-ballet from Molière, Racine, Corneille, and Lully/Quinault. Seminar grade will be based on an exposé (20%) and a scaffolded term paper (abstract: 10%, outline: 10%, presentation of work-in-progress: 25%, final version 35%). Seminar language is French. Students outside of French/Francophone Studies who have an excellent level of reading and listening can participate in English.
Colloquium In Theoretical Folklore/Ethnomusicology: Sounding The Archive
FOLK-F722 with Professor Cooper
Referencing Indiana University's Archives of African American Music and Culture, other select repositories and preservation initiatives along with key literature, this course explores theoretical and practical approaches in archiving Black cultural materials. A range of topics include archival recovery, descriptive practices, navigating institutional archives and ethics, donor relations and stewardship, community partnerships, discovery and access, Black archives in the digital age, negotiating memory, knowledge and meaning, as well as bringing collections alive through innovative programming among others, which shape the definition, resonance, and implications of Black expressive culture preservation.
Environmental Remote Sensing
GEOG-G535 with Professor Hwang
Principles of remote sensing of the earth and its atmosphere, emphasizing satellite data in visible, infrared, and microwave portions of the electromagnetic spectrum. Emphasis on practical applications and digital image analysis. A satellite data analysis project is required.
Geographic Information Systems
GEOG-G538 with Professor Kim
Overview of the principles and practices of Geographic Information Systems (GIS). Spatial data models, database design, introductory and intermediate GIS operations, and case studies of real-world GIS applications. Laboratory exercises will provide significant hands-on experience. Lecture and laboratory.
Advanced Geographic Information Systems
GEOG-G 539 with Professor Kim
Intermediate and advanced topics in geographic information science and spatial analysis techniques using GIS software. This advanced course is for graduates who seek a greater understanding of this rapidly developing field and to learn how to construct, manage and analyze their own GIS data and models.
Applied Spatial Statistics
GEOG-G588 with Professor Robeson
Extension of Traditional statistical analysis to spatial data. Spatial means and spatial variances, the examination of differences in samples over space, spatial autocorrelation, nearest neighbor analysis, map comparison techniques. Emphasis on practical applications.
History and the Digital World (H585)/Digital History Theory and Methods (H699)
HIST-H585/H699 with Professor Craig
How are history and computing related? How does computing support or change the theory, methodology, pedagogy and publication that historians employ? How does history inform computing practices? This class is a graduate-level introduction to the debates, historiographic challenges, and practical undertakings that arise when these two worlds combine.
User Services And Tools
ILS-Z501 with Professor Day
This course introduces students to the basic information sources and services among different types of libraries and information centers, including academic, public, special and school media.
Representation And Organization
ILS-Z503 with Professor Ma
Introduces students to various disciplines: approaches to the understanding, organization, representation (summarizing) and use of knowledge information. This survey looks for commonality among the approaches taken in information science, cognitive psychology, semiotics, and artificial intelligence, among others. The goal is to identify criteria for evaluation and improvement of ways to organize and represent information for future retrieval. Information systems currently used in libraries and information centers will be studied as examples. Emphasis in the course is on concepts and ideas, with appropriate attention to terminology and technology.
Representation And Organization
ILS-Z503 with Professor Arave
Introduces students to various disciplines: approaches to the understanding, organization, representation (summarizing) and use of knowledge information. This survey looks for commonality among the approaches taken in information science, cognitive psychology, semiotics, and artificial intelligence, among others. The goal is to identify criteria for evaluation and improvement of ways to organize and represent information for future retrieval. Information systems currently used in libraries and information centers will be studied as examples. Emphasis in the course is on concepts and ideas, with appropriate attention to terminology and technology.
Introduction To Information Studies
ILS-Z510 with Professor Rosenbaum
Database Design
ILS-Z511 with Professor Strawser
Concerned with access to bibliographic information from a user-centered point of view. Considers various database models such as flat file, relational, and hypertest in terms of text, sound, numeric, image and geographic data. The student will design and implement databases using a variety of commercial DRMS systems.
Database Design
ILS-Z511 with Professor Chosky
Concerned with access to bibliographic information from a user-centered point of view. Considers various database models such as flat file, relational, and hypertest in terms of text, sound, numeric, image and geographic data. The student will design and implement databases using a variety of commercial DRMS systems.
Information Architecture
ILS-Z515 with Professor Wehner
Human-Computer Interaction
ILS-Z516 with Professor Soe
Web Programming
ILS-Z517 with Professor Ghazinejad
Topics In Library And Information Science: Social And Ethical Aspects Of Big Data
ILS-Z604 with Professor Soe
Content Analysis for the Web
ILS-Z642 with Professor Herring
Application of Content Analysis methods to web documents, interactivity features, and links.
Topics in Library and Information Science: Fear, Anger, and the Internet
ILS-Z604 with Professor Hillers
Social Media Mining
ILS-Z639 with Professor Ghazinejad
This course provides a graduate-level introduction to social media mining and methods. The course provides hands-on experience mining social data for social meaning extraction (focus on sentiment analysis) using automated methods and machine learning technologies. We will read, discuss, and critique claims and findings from contemporary research related to SMM.
Digital Libraries
ILS-Z652 with Professor Walsh
In this course students learn to conceptualize, plan, and build digital libraries. In the process of doing that, we will learn about digitization of text and image documents, metadata, and various digital library-related technologies, standards, systems, and software. Course Goal By the end of the semester students will will be able to digitize a collection of non-digital content (e.g., letters, pamphlets, photographs, audio tapes) and develop a digital library populated with the digitized content, associated metadata, and contextualizing information.
Archives and Records Management
ILS-Z581 with Professor Donaldson
Introduction To Informatics
INFO-I501 with Professor Milojevic
The course deals with the foundations of Informatics as an interdisciplinary field. We will study concepts such as Information, Technology, Knowledge, Modeling, and their impact on science and society. The course will also attempt to define and understand what computational and systems thinking can bring to science and society.
Management, Access, And Use Of Big And Complex Data
INFO-I535 with Professor Kouper
Innovation today is emerging from a preponderance of data from sensors, social media, and the Internet. This course covers knowledge representation, data process, and data management for big and complex data. Specific topics include data integration, semantics, and provenance; workflows and pipelines; and distributed noSQL stores.
Human Robot Interaction
INFO-I540 with Professor Sabanovic
This course surveys the field of human-robot interaction (HRI), which involves understanding how people perceive and respond to robots and creating robots that interact naturally with people. We will discuss the design, evaluation and societal significance of interactive robots from a human-centered perspective through readings, discussion and developing HRI prototypes.
Introduction to HCI/D
INFO-I541 with Professor Kaziunas
Human-Computer Interaction Design refers to designing interactive products, services, and experiences. This course offers a holistic and practice-oriented introduction to the field. Working individually and in teams, students will take on an authentic design problem and follow a creative process to achieve design outcomes.
Foundations of HCI
INFO-I542 with Professor Blevis
"Foundations of HCI" offers a survey overview of the field of Human-Computer Interaction Design. It introduces the main themes of HCI set generally in a historical context. Themes include interaction design, cognitive modeling, distributed cognition, computer-supported cooperative work, data visualization, ubiquitous computing, affective computing, and domestic computing, among others.
Experience Design
INFO-I544 with Professor Stolterman Bergqvist
Accompanying its move from workplace productivity into culture-at-large, HCI is increasingly concerned with designing engaging user experiences. "Experience Design" is an interdisciplinary course that brings anthropological, philosophical, design, and technological perspectives together to explore novel ways to research, design, and evaluate qualities of user experience.
Advanced Prototyping
INFO-I549 with Professor Clawson
Prototyping is the activity of exploring a design space and developing design ideas. The course will cover issues surrounding the construction of prototypes (e.g., breadth, depth, look, interaction, low/high, vertical/horizontal, etc.). Students will practice manipulating different prototyping materials, both physical and digital, and learn about different prototype evaluation techniques.
Introduction To Virtual Heritage
INFO-I587 with Professor Guidi
This course focuses on how digital technology can represent, restore, disseminate, and help with analysis of artifacts such as vases, furniture, sculpture, monuments, and buildings. Other topics covered include the history and methodologies of Virtual Heritage. Each semester a different case study will provide the focus for the course.
Topics in Information: Data Visualization
INFO-I590 with Professor Kwak
Variable topic. Emphasis is on new developments and research in informatics.
Topics In Informatics: Data Visualization
INFO-I590 with Professor Nascimento Silva
Variable topic. Emphasis is on new developments and research in informatics.
Topics In Informatics: Introduction To Virtual Reality
INFO-I590 with Professor Wood
Variable topic. Emphasis is on new developments and research in informatics.
Topics In Informatics: Computing And Environment
INFO-I590 with Professor Ensmenger
Variable topic. Emphasis is on new developments and research in informatics.
Topics In Informatics: Creating Virtual Assets
INFO-I590 with Professor Wood
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics: Prototyping with Arduino Tools
INFO-I590 with Professor Francisco
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics: Cross-Platform Mobile Programming
INFO-I590 with Professor Maidi
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics: HCI/D Studio Practice
INFO-I590 with Professor Toombs
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics: Visualizing Data with Tableau
INFO-I590 with Professor McCoy
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics: Introduction to Virtual Reality
INFO-I590 with Professor Wood
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics:Creating Virtual Assets
INFO-I590 with Professor Wood
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics:Visual Design
INFO-I590 with Professor El-Shamy
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics:Immersive Storytelling & EXP Design
INFO-I590 with Professor Terrell
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics:Smart Cities
INFO-I590 with Professor Habeeb
Variable topic. Emphasis is on new developments and research in informatics.
Topics in Informatics:Creativity, Innovation, & Tech
INFO-I590 with Professor Blevis
Variable topic. Emphasis is on new developments and research in informatics.
Fundamental Computer Concepts for Informatics
INFO-I500 with Professor Kulekci
An introduction to fundamental principles of computer concepts for Informatics study, including an overview of computer architecture, computer algorithms, fundamentals of operating systems, data structure, file organization and database concepts.
Computation And Linguistic Analysis
LING-L545 with Professor Tyers
Introduction to current semantic theory, its tools, concepts, and principles. Emphasis on constructing detailed fragments of natural language with syntactic and semantic components.
Programming For Computational Language
LING-L555 with Professor Tyers
This course will introduce the fundamentals of programming and computer science, aiming at attaining practical skills for text processing. Through lectures, lab sessions, and weekly or bi-weekly assignments, students will learn the essentials of a given programming language (e.g., Perl) and how to apply these skills to natural language data.
Corpus Linguistics
LING-L615 with Professor Chelliah
Advances in computer technology have revolutionized the ways linguists can approach their data. By using computers, we can access large bodies of text (corpora) and search for phenomena. The course will give an introduction to the methodology and applications in the field.
Seminar In Computational Linguistics
LING-L715 with Professor Kuebler
The seminar will introduce students to current research in the field of Computational Linguistics.
Advanced Natural Language Processing
LING-L645 with Professor Cavar
An introduction to statistical models and machine learning paradigms in NLP. Covers basic notions in probability and information theory, focusing on the concepts needed for NLP, including Markov Models. Additional topics may include word sense disambiguation, text categorization, and statistical alignment methods and their use in machine translation.
Applying Machine Learning Techniques in Computational Linguistics
LING-L665 with Professor Cavar
Course includes an introduction to CL and to W focused on supervised algorithms: decision trees and rule learning. Also considered are applications of ML algorithms to CL problems.
MIDI and Computer Music
MUS-N561 with Professor Wang
Basics of the Musical Instrument Digital Interface system, its software, and instruments commonly used with desktop MIDI workstations (synthesizers, digital samplers). In-depth study of MIDI sequencing, digital audio editing, and the architecture of electronic instruments. A final project and a paper on a computer music topic is required.
MIDI and Computer Music
MUS-N561 with Professor Warren
Basics of the Musical Instrument Digital Interface system, its software, and instruments commonly used with desktop MIDI workstations (synthesizers, digital samplers). In-depth study of MIDI sequencing, digital audio editing, and the architecture of electronic instruments. A final project and a paper on a computer music topic is required.
Music Performance and Media
MUS-N540 with Professor Kim
Students will apply musical and technological skills to collaborate with other disciplines (visual art, theater, dance, etc.) using Ableton and Logic Pro X to create sounds with their instrument. Emphasis on composing original music and exchanging feedback. Written assignments explore aspects of the creative process and analysis of artists' work.
Projects in Scoring Visual Media
MUS-K502 with Professor Groupe
Electronic Studio Resources I
MUS-K503 with Professor Gibson
Topics in Scoring Visual Media: Advanced Scoring-Short Form
MUS-K555 with Professor Groupe
Though there will be workstations with software available for student use, it is suggested that students own or have at their disposal use of: 1) Digital Audio Workstation (DAW, sequencer); AND 2) Sound library (orchestral library, softsynth, extras as desired). More details and pre-requisites: http://tinyurl.com/gonyddy
Topics in Scoring Visual Media: Synthestration
MUS-K555 with Professor Thomas
Specialized techniques course developing students' skills in music scoring for visual media. More details: http://tinyurl.com/gonyddy
Topics in Scoring Visual Media: Video Game Scoring
MUS-K555 with Professor Thomas
Specialized techniques course developing students' skills in music scoring for visual media. More details: http://tinyurl.com/gonyddy
Seminar in Computer Music
MUS-K509 with Professor Gibson
This course covers advanced topics in computer music, including digital synthesis and sound processing, algorithmic composition, acoustic research, and interactive systems.
Projects in Electronic Music
MUS-K506 with Professor Wang
Advanced projects in electroacoustic composition.
Political Data Analysis I
POLS-Y575 with Professor Lucas
Basic quantitative analysis techniques applied to political science data: principles of measurement, tables, graphs, probability distributions, nonparametric statistics, matrix algebra, Markov chains, correlation and simple regression, tests of significance. Computer processing of data and applications of bivariate statistics to problems in political science are emphasized.
Graduate Topics in Digital Art:
SOAD-S510 with Professor Young
Advanced opportunity for students to investigate the computer as an interactive tool in the process of art making while examining aesthetics and processes of major artists working in this field. Provides the opportunity for exploration of the computer's potential use in the art work of each class member.
Graduate Topics in Digital Art:
SOAD-S510 with Professor Scofield
Advanced opportunity for students to investigate the computer as an interactive tool in the process of art making while examining aesthetics and processes of major artists working in this field. Provides the opportunity for exploration of the computer's potential use in the art work of each class member.
Graduate Topics in Digital Art:
SOAD-S510 with Professor Dolinsky
Advanced opportunity for students to investigate the computer as an interactive tool in the process of art making while examining aesthetics and processes of major artists working in this field. Provides the opportunity for exploration of the computer's potential use in the art work of each class member.
MFA Digital Art Seminar
SOAD-S519 with Professor Smith
Investigates the relationship between art, aesthetics, and technology. Topics can include virtual environments, screen-media, sound art, time-based media, networked art, and locative media, as well as related history, criticism and theory. Coursework includes readings, discussions and research-based projects, papers or presentations.
Introduction To Statistics
STAT-S520 with Professor Valdivia
Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares.
Introduction To Statistics
STAT-S520 with Professor Trosset
Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares.
Introduction To Statistics
STAT-S520 with Professor Xu
Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares.
Introduction To Statistics
STAT-S520 with Professor Wang
Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares.
Introduction To Statistical Computing
STAT-S610 with Professor Fukuyama
Introduction to R from a software engineering perspective and an introduction to algorithms commonly used in applied statistics. Optimization algorithms including gradient descent, stochastic gradient descent, the EM algorithm, and topics in convex optimization. Stochastic algorithms including rejection sampling, Metropolis-Hastings, and Gibbs sampling.
Exploratory Data Analysis
STAT-S670 with Professor Luen
Numerical and graphical techniques for summarizing and displaying data. Exploration versus confirmation. Connections with conventional statistical analysis and data mining. Applications to large data sets.
Advanced Data Analysis I
STAT-S771 with Professor Glatt-Holtz
This course introduces Ph.D. students in the Department of Statistics to an in-depth cross-disciplinary research experience, emphasizing the role of statistics in solving a scientific, technological, or policy problem. Each student identifies a research project, forms an advisory committee, and provides interim written and oral progress reports throughout the remainder of the semester.
Advanced Data Analysis II
STAT-S772 with Professor Glatt-Holtz
Second semester of a two-semester sequence. Ph.D. students in the Department of Statistics complete the cross-disciplinary projects they began in STAT-S 771.
Introduction To Projection And Media Design (Studies In Stage Scenery)
THTR-T528 with Professor Lucas
Selected problems in designing stage scenery; composition and style.
Costume Technology II
THTR-T531 with Professor Milam
Provides a strong base in costume construction techniques for incoming graduate students. It provides a foundation of sewing, craft, fitting, and patternmaking techniques as well as training in team management from which the students may develop a construction project and perform assignments including supervisory roles in production work.
Stage Lighting Design
THTR-T546 with Professor Hahn
Stage lighting design concept development, presentation, and implementation are emphasized. Advanced lighting techniques and approaches. A practicum will be assigned.
Sound Design I
THTR-T547 with Professor Hopson
Study of the practical use, aesthetics, and implementation of sound in theatre productions. Focus is on using computers to assist in the creation, selection, and playback of sound cues. Topics include sound system operation and design for both plays and musicals. Emphasis on researching, selecting, and recording music for production.
Lighting Design Seminar (Color)
THTR-T646 with Professor Hahn
Development of a lighting designer's critical experience with color, timing, volumetric space, lateral thinking, and creativity are addressed in successive semesters in this project-based course, heavy on critique. With these supporting skills, the designer's work in production can be conducted with greater confidence and assurance of a successful outcome.
