Twin Cities campus

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Twin Cities Campus

Design Ph.D.

DESGN GARP Administration
College of Design
Link to a list of faculty for this program.
Contact Information
Director of Graduate Studies, Design Graduate Program, 240 McNeal Hall, 1985 Buford Avenue, St. Paul, MN 55108 (612-626-1219)
Email: dhagrad@umn.edu
Website: http://dha.design.umn.edu/programs/grad
  • Program Type: Doctorate
  • Requirements for this program are current for Spring 2017
  • Length of program in credits: 64
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The design graduate program focuses on the study of relationships between humans and their designed environments. This focus is based on the assumption that design and analysis of environments contributes to the improvement of the human condition. The program addresses theory, research, and application, using a shared disciplinary base from the arts and social and behavioral sciences. The goal of the program is for students to analyze, evaluate, and integrate theoretical frameworks related to humans and their designed environments. Applications submitted to the design graduate program specify a track and degree objective. Formal tracks are: • Apparel studies (including dress, history, and culture; product development; and retail merchandising and consumer studies) • Graphic design (including interactive design) • Housing studies • Interior design (including evidence-based design)
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
Eligibility requirements are located on the track pages of the design graduate program website: http://dha.design.umn.edu/programs/grad.
Special Application Requirements:
Application requirements: http://dha.design.umn.edu/programs/grad/admissions.html
Applicants must submit their test score(s) from the following:
  • GRE
    • General Test - Verbal Reasoning: 144
    • General Test - Quantitative Reasoning: 153
    • General Test - Analytical Writing: 4.0
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 79
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 19
    • Paper Based - Total Score: 550
  • IELTS
    • Total Score: 6.5
  • MELAB
    • Final score: 80
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (GRE, TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
28 credits are required in the major.
12 credits are required outside the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
Students may be required to complete additional credits upon recommendation of their committee.
Design Program Core Requirements
DES 8181 - Research Ethics (1.0 cr)
Related Field Coursework
Students are required to take a minimum of 12 credits in a related field. Courses are selected with the approval of the advisor and committee.
Doctoral Dissertation Credits
Students take a minimum of 24 credits of DES 8888. With the permission of the advisor, up to 10 credits may be taken prior to passing the preliminary oral examination.
DES 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
Program Sub-plans
Students are required to complete one of the following sub-plans.
Students may not complete the program with more than one sub-plan.
Apparel Studies
The apparel studies track advances both theoretical knowledge and applications for apparel and worn products and their relationship to human behavior. Students may focus on product development; dress, history, and culture; or retail merchandising and consumer studies. Within each of these areas of emphasis within the track, the student completes related coursework as well as research or creative production that culminates in a thesis.
Evaluation and Analysis Coursework
Students are required to take a minimum of 9 credits in evaluation and analysis, including 3 credits in statistics.
DES 8102 - Quantitative research methods and data visualization (3.0 cr)
DES 8103 - Qualitative Research Methods in Design (3.0 cr)
Statistics
Take 3 or more credit(s) from the following:
· EPSY 5261 - Introductory Statistical Methods (3.0 cr)
· EPSY 5262 - Intermediate Statistical Methods (3.0 cr)
· EPSY 8252 - Statistical Methods in Education II (3.0 cr)
· EPSY 8261 {Inactive} (3.0 cr)
· EPSY 8262 {Inactive} (3.0 cr)
· EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
· EPSY 8267 - Applied Multivariate Analysis (3.0 cr)
Concentration
Dress, History, and Culture
Theory and Philosophy Coursework
Students take a minimum of 6 credits in this category.
DES 8164 - Innovation Theory and Analysis (3.0 cr)
DES 8112 - Introduction to Design Research, Theory, and Methodology (3.0 cr)
Dress, History, and Culture Concentration Coursework
Take 12 or more credit(s) from the following:
· DES 5165 - Design and Globalization (3.0 cr)
· APST 5218 - Fashion, Design, and the Global Industry (3.0 cr)
· DES 8112 - Introduction to Design Research, Theory, and Methodology (3.0 cr)
· DES 8113 - Teaching and Assessment (2.0 cr)
· DES 8115 - Grant Writing (2.0 cr)
· DES 8164 - Innovation Theory and Analysis (3.0 cr)
· DES 8166 - Material Culture and Design (3.0 cr)
· DES 8167 - Aesthetics of Design (3.0 cr)
· APST 8192 - Readings in Apparel Studies (1.0-3.0 cr)
· APST 8193 - Directed Study (1.0-3.0 cr)
· APST 8267 {Inactive} (3.0 cr)
· APST 8268 - Behavioral Aspects of Dress (3.0 cr)
-OR-
Product Development
Theory and Philosophy Coursework
Students take a minimum of 6 credits in this category.
DES 8112 - Introduction to Design Research, Theory, and Methodology (3.0 cr)
DES 8164 - Innovation Theory and Analysis (3.0 cr)
Product Development Concentration Coursework
Take 12 or more credit(s) from the following:
· DES 5185 - Human Factors in Design (3.0 cr)
· APST 5218 - Fashion, Design, and the Global Industry (3.0 cr)
· DES 8113 - Teaching and Assessment (2.0 cr)
· DES 8114 - Design Studio (4.0 cr)
· DES 8115 - Grant Writing (2.0 cr)
· DES 8151 - Product Development: Theory and Practice (3.0 cr)
· DES 8166 - Material Culture and Design (3.0 cr)
· DES 8167 - Aesthetics of Design (3.0 cr)
· APST 8192 - Readings in Apparel Studies (1.0-3.0 cr)
· APST 8193 - Directed Study (1.0-3.0 cr)
· GDES 8361 - Color, Design, and Human Perception (3.0 cr)
-OR-
Retail Merchandising and Consumer Studies
Theory and Philosophy Coursework
Students take a minimum of 6 credits in this category.
APST 8272 - Digital Consumers: Theories in Retail and Consumer Studies (3.0 cr)
Take 3 or more credit(s) from the following:
· APST 8268 - Behavioral Aspects of Dress (3.0 cr)
· PSY 8201 - Social Cognition (3.0 cr)
· SOC 8721 - Social Psychology: Micro-Sociological Approaches to Inequalities and Identities (3.0 cr)
Retail Merchandising and Consumer Studies Concentration Coursework
Take 12 or more credit(s) from the following:
· APST 5117 - Retail Environments and Human Behavior (3.0 cr)
· APST 5123 - Living in a Consumer Society (3.0 cr)
· APST 5124 {Inactive} (3.0 cr)
· DES 8113 - Teaching and Assessment (2.0 cr)
· DES 8115 - Grant Writing (2.0 cr)
· DES 8151 - Product Development: Theory and Practice (3.0 cr)
· DES 8167 - Aesthetics of Design (3.0 cr)
· APST 8267 {Inactive} (3.0 cr)
· APST 8268 - Behavioral Aspects of Dress (3.0 cr)
· APST 8271 - Retailing: Strategic Perspectives (3.0 cr)
· APST 8192 - Readings in Apparel Studies (1.0-3.0 cr)
· APST 8193 - Directed Study (1.0-3.0 cr)
Graphic Design
The track in graphic design focuses on design theory, process, and methods related to design practice and research. Potential areas of study include graphic design history, theory, and critical narrative; design creativity; color and design; user-centered design; design authorship; data visualization; and interactive design.
Theory and Philosophy Coursework
Students take a minimum of 6 credits in this category.
DES 8112 - Introduction to Design Research, Theory, and Methodology (3.0 cr)
or DES 8164 - Innovation Theory and Analysis (3.0 cr)
or GDES 5399 {Inactive} (3.0 cr)
Evaluation and Analysis Coursework
Students take a minimum of 9 credits in this category, including 3 credits in statistics.
Take 6 or more credit(s) from the following:
· DES 8102 - Quantitative research methods and data visualization (3.0 cr)
· DES 8103 - Qualitative Research Methods in Design (3.0 cr)
· GDES 5388 {Inactive} (3.0 cr)
Statistics
Take 3 or more credit(s) from the following:
· EPSY 5261 - Introductory Statistical Methods (3.0 cr)
· EPSY 5262 - Intermediate Statistical Methods (3.0 cr)
· EPSY 8252 - Statistical Methods in Education II (3.0 cr)
· EPSY 8261 {Inactive} (3.0 cr)
· EPSY 8262 {Inactive} (3.0 cr)
· EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
· EPSY 8267 - Applied Multivariate Analysis (3.0 cr)
Graphic Design Concentration Coursework
Students are required to take GDES 8361 and GDES 8362.
Take 12 or more credit(s) from the following:
· GDES 4131W - History of Graphic Design [WI] (4.0 cr)
· GDES 4330 {Inactive} (4.0 cr)
· GDES 4345 - Advanced Typography (4.0 cr)
· GDES 5311 - Illustration (3.0 cr)
· GDES 5341 - Interaction Design (3.0 cr)
· GDES 5342 - Advanced Web Design (3.0 cr)
· GDES 5371 - Data & Information Visualization (3.0 cr)
· GDES 5372 {Inactive} (3.0 cr)
· GDES 5383 - Digital Illustration and Animation (3.0 cr)
· GDES 5386 - Fundamentals of Game Design (3.0 cr)
· DES 8113 - Teaching and Assessment (2.0 cr)
· DES 8114 - Design Studio (4.0 cr)
· DES 8115 - Grant Writing (2.0 cr)
· GDES 8192 - Readings in Graphic Design (1.0-3.0 cr)
· GDES 8193 - Directed Study (1.0-3.0 cr)
· GDES 8361 - Color, Design, and Human Perception (3.0 cr)
· GDES 8362 - The Nature of Representation in Visual Communication (3.0 cr)
Housing Studies
Housing studies is a multidisciplinary track that draws from a variety of theoretical perspectives. Students are trained in a variety of research methodologies. Coursework and research experiences combine to further understanding of the innovative approaches to the development of housing and related programs. Upon completion of the graduate degree, students seek housing careers in state and federal agencies, nonprofit community organizations, housing regulation, and higher education.
Theory and Philosophy Coursework
Students are required to take a total of 6 credits in this category, including HSG 8467. Students select one additional course in theory and philosophy with the approval of the advisor and committee.
HSG 8467 {Inactive} (3.0 cr)
Evaluation and Analysis Coursework
Students take a minimum of 9 credits in this category, including a minimum of 3 credits in statistics.
DES 8102 - Quantitative research methods and data visualization (3.0 cr)
DES 8103 - Qualitative Research Methods in Design (3.0 cr)
Statistics
Take 3 or more credit(s) from the following:
· EPSY 5261 - Introductory Statistical Methods (3.0 cr)
· EPSY 5262 - Intermediate Statistical Methods (3.0 cr)
· EPSY 8252 - Statistical Methods in Education II (3.0 cr)
· EPSY 8261 {Inactive} (3.0 cr)
· EPSY 8262 {Inactive} (3.0 cr)
· EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
· EPSY 8267 - Applied Multivariate Analysis (3.0 cr)
Housing Studies Concentration Coursework
HSG 5463, HSG 5467, and HSG 8463 are required.
Take 12 or more credit(s) from the following:
· HSG 4461 {Inactive} (4.0 cr)
· HSG 4465 {Inactive} (3.0 cr)
· HSG 5463 - Housing Policy (3.0 cr)
· HSG 5464 {Inactive} (3.0 cr)
· HSG 5467 {Inactive} (4.0 cr)
· HSG 5481 {Inactive} (3.0 cr)
· HSG 5484 {Inactive} (3.0 cr)
· HSG 8192 - Readings in Housing Studies (1.0-3.0 cr)
· HSG 8193 - Directed Study (1.0-3.0 cr)
· HSG 8463 {Inactive} (3.0 cr)
Interior Design
Graduate study in the interior design track emphasizes the theory, research, and specialized practice components of design as applied to people's health, safety, and welfare in the interior environment, including design education, sustainability, social/cultural issues, aspects of professional practice, and facilities research (educational, office, criminal justice, and residential). Students are prepared for teaching and research positions as well as design specializations within the profession. The evidence-based design emphasis provides students with the opportunity to explore theoretical, process, and applied aspects of this design practice approach.
Theory and Philosophy Coursework
Students take DES 8112 and choose either DES 8164 or DES 8166 for a total of 6 credits in this category.
DES 8112 - Introduction to Design Research, Theory, and Methodology (3.0 cr)
Take 3 or more credit(s) from the following:
· DES 8164 - Innovation Theory and Analysis (3.0 cr)
· DES 8166 - Material Culture and Design (3.0 cr)
Evaluation and Analysis Coursework
Students take a minimum of 9 credits in this category, including a minimum of 3 credits in statistics.
DES 8102 - Quantitative research methods and data visualization (3.0 cr)
DES 8103 - Qualitative Research Methods in Design (3.0 cr)
Statistics
Take 3 or more credit(s) from the following:
· EPSY 5261 - Introductory Statistical Methods (3.0 cr)
· EPSY 5262 - Intermediate Statistical Methods (3.0 cr)
· EPSY 8252 - Statistical Methods in Education II (3.0 cr)
· EPSY 8261 {Inactive} (3.0 cr)
· EPSY 8262 {Inactive} (3.0 cr)
· EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
· EPSY 8267 - Applied Multivariate Analysis (3.0 cr)
Interior Design Concentration Coursework
Take 12 or more credit(s) from the following:
· DES 5165 - Design and Globalization (3.0 cr)
· DES 5168 - Evidence-Based Design (3.0 cr)
· DES 5185 - Human Factors in Design (3.0 cr)
· DES 8113 - Teaching and Assessment (2.0 cr)
· DES 8115 - Grant Writing (2.0 cr)
· IDES 8192 - Readings in Interior Design (1.0-3.0 cr)
· IDES 8193 - Directed Study (1.0-3.0 cr)
· GDES 8361 - Color, Design, and Human Perception (3.0 cr)
 
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DES 8181 - Research Ethics
Credits: 1.0 [max 1.0]
Grading Basis: S-N or Aud
Typically offered: Every Spring
Overview of ethical concerns/questions in conducting/disseminating research. Mentoring relationships, use of human subjects, data handling, plagiarism, authorship, publishing, research funding, social responsibility of researchers, code of conduct. prereq: Grad student
DES 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
(No description) prereq: Max 18 cr per semester or summer; 24 cr required
DES 8102 - Quantitative research methods and data visualization
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Quantitative research methods and data visualization offers an overview of the quantitative research design approaches and discusses a series of quantitative data collection and analysis methods including exploratory data analysis, dependence analysis, and inter-dependence analysis techniques. This course reviews how these methods are used in research projects and how to communicate effectively by developing advanced data visualization skills.
DES 8103 - Qualitative Research Methods in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.
EPSY 5261 - Introductory Statistical Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 3264/5231/5261/5263
Typically offered: Every Fall, Spring & Summer
EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
EPSY 5262 - Intermediate Statistical Methods
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv
EPSY 8252 - Statistical Methods in Education II
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8252/EPsy 8262
Prerequisites: [8251, 8261 or equiv]
Typically offered: Every Fall & Spring
Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8267 - Applied Multivariate Analysis
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package
DES 8164 - Innovation Theory and Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Theories and factors that influence adoption and diffusion of designed products. Methodologies used in analysis of diffusion process.
DES 8112 - Introduction to Design Research, Theory, and Methodology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to Design Research, Theory, and Methodology provides an overview of design research types and approaches for generating valid knowledge about design. The course will explore the philosophical and methodological underpinnings of three significant areas of design research: research into design (theory-based; foundational or exploratory research), research for design (practice-based), and research through design (practice-led). This course reviews creative, analytical, and reflective design research methodology and design theory to focus graduate-level design research and creative production.
DES 5165 - Design and Globalization
Credits: 3.0 [max 3.0]
Course Equivalencies: Des 4165/Des 5165
Grading Basis: A-F or Aud
Typically offered: Every Fall
The course explores how culture, identity, and difference are defined and produced and the role that design plays in the production of difference, inequality, and marginalization. prereq: Grad student
APST 5218 - Fashion, Design, and the Global Industry
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Relationship of fashion, dress, and culture to time, place, and design. Focuses on fashion centers, fashion industry, and globalization. Chinese fashion industry as case study.
DES 8112 - Introduction to Design Research, Theory, and Methodology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to Design Research, Theory, and Methodology provides an overview of design research types and approaches for generating valid knowledge about design. The course will explore the philosophical and methodological underpinnings of three significant areas of design research: research into design (theory-based; foundational or exploratory research), research for design (practice-based), and research through design (practice-led). This course reviews creative, analytical, and reflective design research methodology and design theory to focus graduate-level design research and creative production.
DES 8113 - Teaching and Assessment
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Educational processes/methods in design studio/lecture courses. Learning styles, best practices for grading. Methods of critique. Interacting with students. Active learning. Teaching with technology. Lecture, practicum.
DES 8115 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Interdisciplinary course.
DES 8164 - Innovation Theory and Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Theories and factors that influence adoption and diffusion of designed products. Methodologies used in analysis of diffusion process.
DES 8166 - Material Culture and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Research approaches to material culture study using artifacts from Goldstein Museum of Design. prereq: [DHA or DES] grad student or instr consent
DES 8167 - Aesthetics of Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
How we perceive, analyze, value, and evaluate design outcomes/results.
APST 8192 - Readings in Apparel Studies
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study/review of books/periodicals under tutorial guidance. prereq: instr consent
APST 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in apparel studies. prereq: instr consent
APST 8268 - Behavioral Aspects of Dress
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Research and social science theories as applied to appearance/dress as manifestations of human behavior.
DES 8112 - Introduction to Design Research, Theory, and Methodology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to Design Research, Theory, and Methodology provides an overview of design research types and approaches for generating valid knowledge about design. The course will explore the philosophical and methodological underpinnings of three significant areas of design research: research into design (theory-based; foundational or exploratory research), research for design (practice-based), and research through design (practice-led). This course reviews creative, analytical, and reflective design research methodology and design theory to focus graduate-level design research and creative production.
DES 8164 - Innovation Theory and Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Theories and factors that influence adoption and diffusion of designed products. Methodologies used in analysis of diffusion process.
DES 5185 - Human Factors in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Exploration of the theories and methods that influence the assessment of physical, cognitive, social, and psychological human factors, and the analysis of user needs with application to designed products and systems that interact with a human user or the human body. This course is an introductory overview to the theories and concepts of Human Factors and their application through the methods of User-Centered Design. Typically, the class is comprised of students from a wide variety of disciplines and backgrounds. Course material is explored through readings, lectures, discussions, case studies, and course projects.
APST 5218 - Fashion, Design, and the Global Industry
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Relationship of fashion, dress, and culture to time, place, and design. Focuses on fashion centers, fashion industry, and globalization. Chinese fashion industry as case study.
DES 8113 - Teaching and Assessment
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Educational processes/methods in design studio/lecture courses. Learning styles, best practices for grading. Methods of critique. Interacting with students. Active learning. Teaching with technology. Lecture, practicum.
DES 8114 - Design Studio
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Advanced problem analysis, design solution. prereq: Design grad student or instr consent
DES 8115 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Interdisciplinary course.
DES 8151 - Product Development: Theory and Practice
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Spring Odd Year
Product development theories/methods as applied in many design fields. Emphasizes retail setting. Seminar format discussion, case studies, observation/critique of hands-on industry product development project.
DES 8166 - Material Culture and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Research approaches to material culture study using artifacts from Goldstein Museum of Design. prereq: [DHA or DES] grad student or instr consent
DES 8167 - Aesthetics of Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
How we perceive, analyze, value, and evaluate design outcomes/results.
APST 8192 - Readings in Apparel Studies
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study/review of books/periodicals under tutorial guidance. prereq: instr consent
APST 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in apparel studies. prereq: instr consent
GDES 8361 - Color, Design, and Human Perception
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Perceptual and psychological aspects of color and design. Human factors of color variables and design strategies that can enhance human experience of, and interaction with, color. prereq: Basic color theory course or instr consent
APST 8272 - Digital Consumers: Theories in Retail and Consumer Studies
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
Reviews range of critical theories in retail/consumer studies to explore issues in multi-channel retailing environments. Exposure to breadth of topics in multi-channel retailing. Practical research experience. prereq: DES 8102 or equivalent quantitative methods class
APST 8268 - Behavioral Aspects of Dress
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Research and social science theories as applied to appearance/dress as manifestations of human behavior.
PSY 8201 - Social Cognition
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Social psychological theory/research on social inference and reasoning processes. Psychology of prejudice/stereotyping. prereq: Psych PhD candidate
SOC 8721 - Social Psychology: Micro-Sociological Approaches to Inequalities and Identities
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Social psychology is basic to an understanding of contemporary social life. This subfield of sociology focuses on social phenomena at the micro-level. Small group dynamics, social interactions, and individual experiences are importantly structured by the macro-structural context, e.g., by socioeconomic status, race, gender, sexuality, and other dimensions of social inequality. At the same time, these and other micro-sociological processes reflect individual-level identities, perceptions, motivations and cognitions. This seminar examines a wide range of social psychological phenomena linked to inequality (e.g., the effects of class, minority status, and gender on disparities in identity, self-concept, and health; the development of status hierarchies in small group interaction; intergroup relations, prejudice, and discrimination). We begin with a consideration of ?personal structure,? emphasizing the cultural and structural variability of self-conceptions and identities, cognitive processes, and motivation, as well as the biosocial bases of action. These may be considered individual-level ?building blocks? of social psychological theories (along with emotions, attitudes, values, and ideologies). We then address prominent theoretical perspectives in social psychology that illuminate the linkages between micro-social contexts of inequality and identity, including symbolic interactionism, exchange theory, structural social psychology (?social structure and personality?) and the social psychology of the life course. Social psychological theory and research are foundational to many specialty fields in sociology, including the sociology of the family, education, health, deviance, work, social mobility, social movements, emotions, and the sociology of childhood, youth, and aging. Social psychology is also central to prominent theoretical debates in sociology surrounding the relationship between social structure and agency; individual-level identities, perceptions, motivations, goals, and strategies are both structured by the social context and affect the capacity of individuals to act agentically and to achieve their goals.
APST 5117 - Retail Environments and Human Behavior
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Theory/research related to designed environment across retail channels. prereq: Grad student or instr consent
APST 5123 - Living in a Consumer Society
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Fall Odd Year
Consumerism within U.S. society. Commodification of health care, education, and production of news. Commercialization of public space/culture. What drives consumer society. How meaning is manufactured. What the lived experiences are of consumers today. Postmodern market. Alternatives to consumer society. prereq: Sr or grad student
DES 8113 - Teaching and Assessment
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Educational processes/methods in design studio/lecture courses. Learning styles, best practices for grading. Methods of critique. Interacting with students. Active learning. Teaching with technology. Lecture, practicum.
DES 8115 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Interdisciplinary course.
DES 8151 - Product Development: Theory and Practice
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Spring Odd Year
Product development theories/methods as applied in many design fields. Emphasizes retail setting. Seminar format discussion, case studies, observation/critique of hands-on industry product development project.
DES 8167 - Aesthetics of Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
How we perceive, analyze, value, and evaluate design outcomes/results.
APST 8268 - Behavioral Aspects of Dress
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Research and social science theories as applied to appearance/dress as manifestations of human behavior.
APST 8271 - Retailing: Strategic Perspectives
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Selected topics in the field of retailing. Students extend their thinking regarding consumer behavior to strategic retail management.
APST 8192 - Readings in Apparel Studies
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study/review of books/periodicals under tutorial guidance. prereq: instr consent
APST 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in apparel studies. prereq: instr consent
DES 8112 - Introduction to Design Research, Theory, and Methodology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to Design Research, Theory, and Methodology provides an overview of design research types and approaches for generating valid knowledge about design. The course will explore the philosophical and methodological underpinnings of three significant areas of design research: research into design (theory-based; foundational or exploratory research), research for design (practice-based), and research through design (practice-led). This course reviews creative, analytical, and reflective design research methodology and design theory to focus graduate-level design research and creative production.
DES 8164 - Innovation Theory and Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Theories and factors that influence adoption and diffusion of designed products. Methodologies used in analysis of diffusion process.
DES 8102 - Quantitative research methods and data visualization
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Quantitative research methods and data visualization offers an overview of the quantitative research design approaches and discusses a series of quantitative data collection and analysis methods including exploratory data analysis, dependence analysis, and inter-dependence analysis techniques. This course reviews how these methods are used in research projects and how to communicate effectively by developing advanced data visualization skills.
DES 8103 - Qualitative Research Methods in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.
EPSY 5261 - Introductory Statistical Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 3264/5231/5261/5263
Typically offered: Every Fall, Spring & Summer
EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
EPSY 5262 - Intermediate Statistical Methods
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv
EPSY 8252 - Statistical Methods in Education II
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8252/EPsy 8262
Prerequisites: [8251, 8261 or equiv]
Typically offered: Every Fall & Spring
Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8267 - Applied Multivariate Analysis
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package
GDES 4131W - History of Graphic Design (WI)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Historical analysis of visual communication. Technological, cultural, and aesthetic influences. How historical events are communicated/perceived through graphic presentation/imagery.
GDES 4345 - Advanced Typography
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Expressive visual communication of words. Fundamental legibility of "invisible art," overt expression through type. Students complete extended typographic project. prereq: [[2345 or DHA 2345], 3351, graphic design major] or design grad student or instr consent
GDES 5311 - Illustration
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Image making by hand or digitally for use in design projects. Design development. Mapping out ideas/expressing thoughts visually. Not observational drawing course. prereq: 1311 or ArtS 1101 or PDes 3702 or LA 1301 or Arch 3250 or Arch 2301 or instr consent
GDES 5341 - Interaction Design
Credits: 3.0 [max 3.0]
Course Equivalencies: DHA 4384/GDES 5341
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Design of interactive multimedia projects. Interactive presentations and electronic publishing. Software includes hypermedia, scripting, digital output. prereq: [[2334 or 2342], design minor] or graphic design major or grad student or instr consent
GDES 5342 - Advanced Web Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Internet-based design. Static web pages, embedded media, cascading style sheets. Design and usability of interface between humans and technology. Evaluation of visual elements that control and organize dealings with computers to direct work. Students develop designs, do usability testing. prereq: [[2334 or 2342], design minor] or graphic design major or grad student or instr consent
GDES 5371 - Data & Information Visualization
Credits: 3.0 [max 3.0]
Course Equivalencies: GDes 4371/GDes 5371
Grading Basis: A-F only
Typically offered: Every Spring
Visual articulation of data. Expansive research, meticulous gathering of data, analysis. Develop cohesive graphical narratives/build solid foundation in craft of presenting data.
GDES 5383 - Digital Illustration and Animation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Advanced computer design. Integration of design knowledge with Macintosh computer applications. Students use software to create digital illustration and animations. Adobe Illustrator, After Effects, Flash. prereq: [[2334 or 2342], design minor], [graphic design major or [grad student, experience with computer illustration]]] or instr consent
GDES 5386 - Fundamentals of Game Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Games of all kinds. Theoretical/practical aspects of making games. Investigation of design process. Rules, strategies, methodologies. Interactivity, choice, action, outcome, rules in game design. Social interaction, story telling, meaning/ideology, semiotics. Signs, cultural meaning. prereq: [[2334 or 2342], design minor] or [[4384 or DHA 4384 or 5341 or DHA 5341], [graphic design major or sr or grad student]] or instr consent
DES 8113 - Teaching and Assessment
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Educational processes/methods in design studio/lecture courses. Learning styles, best practices for grading. Methods of critique. Interacting with students. Active learning. Teaching with technology. Lecture, practicum.
DES 8114 - Design Studio
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Advanced problem analysis, design solution. prereq: Design grad student or instr consent
DES 8115 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Interdisciplinary course.
GDES 8192 - Readings in Graphic Design
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study, review of books/periodicals under tutorial guidance. prereq: instr consent
GDES 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in graphic design. prereq: instr consent
GDES 8361 - Color, Design, and Human Perception
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Perceptual and psychological aspects of color and design. Human factors of color variables and design strategies that can enhance human experience of, and interaction with, color. prereq: Basic color theory course or instr consent
GDES 8362 - The Nature of Representation in Visual Communication
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Theories of representation and studio production (digital, non-digital) centered around representation in culture.
DES 8102 - Quantitative research methods and data visualization
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Quantitative research methods and data visualization offers an overview of the quantitative research design approaches and discusses a series of quantitative data collection and analysis methods including exploratory data analysis, dependence analysis, and inter-dependence analysis techniques. This course reviews how these methods are used in research projects and how to communicate effectively by developing advanced data visualization skills.
DES 8103 - Qualitative Research Methods in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.
EPSY 5261 - Introductory Statistical Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 3264/5231/5261/5263
Typically offered: Every Fall, Spring & Summer
EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
EPSY 5262 - Intermediate Statistical Methods
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv
EPSY 8252 - Statistical Methods in Education II
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8252/EPsy 8262
Prerequisites: [8251, 8261 or equiv]
Typically offered: Every Fall & Spring
Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8267 - Applied Multivariate Analysis
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package
HSG 5463 - Housing Policy
Credits: 3.0 [max 3.0]
Course Equivalencies: Hsg 5463/PA 5261
Grading Basis: A-F or Aud
Typically offered: Every Spring
Institutional/environmental settings that make up housing policy in the United States. Competing ideas about solving housing problems through public intervention in the market. Federal/local public sector responses to housing problems. prereq: [[2401 or DHA 2401], [2463 or DHA 2463]] or instr consent
HSG 8192 - Readings in Housing Studies
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study, review of books, and periodicals under tutorial guidance. prereq: instr consent
HSG 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in housing studies. prereq: instr consent
DES 8112 - Introduction to Design Research, Theory, and Methodology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to Design Research, Theory, and Methodology provides an overview of design research types and approaches for generating valid knowledge about design. The course will explore the philosophical and methodological underpinnings of three significant areas of design research: research into design (theory-based; foundational or exploratory research), research for design (practice-based), and research through design (practice-led). This course reviews creative, analytical, and reflective design research methodology and design theory to focus graduate-level design research and creative production.
DES 8164 - Innovation Theory and Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Theories and factors that influence adoption and diffusion of designed products. Methodologies used in analysis of diffusion process.
DES 8166 - Material Culture and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Research approaches to material culture study using artifacts from Goldstein Museum of Design. prereq: [DHA or DES] grad student or instr consent
DES 8102 - Quantitative research methods and data visualization
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Quantitative research methods and data visualization offers an overview of the quantitative research design approaches and discusses a series of quantitative data collection and analysis methods including exploratory data analysis, dependence analysis, and inter-dependence analysis techniques. This course reviews how these methods are used in research projects and how to communicate effectively by developing advanced data visualization skills.
DES 8103 - Qualitative Research Methods in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.
EPSY 5261 - Introductory Statistical Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 3264/5231/5261/5263
Typically offered: Every Fall, Spring & Summer
EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
EPSY 5262 - Intermediate Statistical Methods
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv
EPSY 8252 - Statistical Methods in Education II
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8252/EPsy 8262
Prerequisites: [8251, 8261 or equiv]
Typically offered: Every Fall & Spring
Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8267 - Applied Multivariate Analysis
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package
DES 5165 - Design and Globalization
Credits: 3.0 [max 3.0]
Course Equivalencies: Des 4165/Des 5165
Grading Basis: A-F or Aud
Typically offered: Every Fall
The course explores how culture, identity, and difference are defined and produced and the role that design plays in the production of difference, inequality, and marginalization. prereq: Grad student
DES 5168 - Evidence-Based Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Origins of evidence-based design/possible benefits and detractors. Students learn various components as a process/ explore methods of integrating process via application to a design project in their area of expertise. Process, impact, influences, and anticipated outcomes are documented/ analyzed as compared to a typical design process approach. prereq: CDes grad student or instr consent
DES 5185 - Human Factors in Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Exploration of the theories and methods that influence the assessment of physical, cognitive, social, and psychological human factors, and the analysis of user needs with application to designed products and systems that interact with a human user or the human body. This course is an introductory overview to the theories and concepts of Human Factors and their application through the methods of User-Centered Design. Typically, the class is comprised of students from a wide variety of disciplines and backgrounds. Course material is explored through readings, lectures, discussions, case studies, and course projects.
DES 8113 - Teaching and Assessment
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Educational processes/methods in design studio/lecture courses. Learning styles, best practices for grading. Methods of critique. Interacting with students. Active learning. Teaching with technology. Lecture, practicum.
DES 8115 - Grant Writing
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Interdisciplinary course.
IDES 8192 - Readings in Interior Design
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent study, review of books/periodicals under tutorial guidance. prereq: instr consent
IDES 8193 - Directed Study
Credits: 1.0 -3.0 [max 8.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed study in interior design. prereq: instr consent
GDES 8361 - Color, Design, and Human Perception
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Perceptual and psychological aspects of color and design. Human factors of color variables and design strategies that can enhance human experience of, and interaction with, color. prereq: Basic color theory course or instr consent