Courses

Coursework in HCI

The core HCI courses are divided into categories, based on the ACM definition of HCI. Additional courses may be added at the direction of the Program of Studies Committee.

Core Courses

Design

  • HCI 521 — Cognitive Psychology of HCI
  • HCI 595 – Visual Design for HCI
  • ArtGR 530 – Graphic Design and Human Interaction:  Usability
  • IE 572 – Design and Evaluation of Human Computer Interaction

Implementation

  • HCI 575 — Computational Perception
  • HCI 580 – Virtual Worlds and Applications
  • CprE/ME 557 — Computer Graphics and Geometric Modeling

Phenomena

  • ArtGR 540 — Graphic Design and Human Interaction: Design for Behavioral Change
  • HCI 655 — Organizational and Social Implications of HCI
  • HCI 589 — Design and Ethics
  • JLMC / T SC 574 – Communication Technology and Social Change
  • ME/WLC 584 – Technology, Globalization and Culture

Evaluation

  • ENGL/STAT 332 — Visual Communication of Quantitative Information
  • HCI 504 — Evaluating Digital Learning Environments
  • PSYCH 501 — Foundations of Behavioral Research
  • STAT 480 — Statistical Computing Applications
  • HCI 522 – Scientific Methods in HCI – Evaluation

 

Online M.HCI students
Students in this program will be required to take four courses, one each from the Design, Implementation, Phenomena and Evaluation categories. However, M.HCI students must take two additional courses of their choice from the list of core courses or the list of recommended electives, M.HCI students will therefore be required to take a total of six courses (18 credits). The remaining four courses (12 credits) would be electives of your choosing.

MS students
MS students will be required to choose any four (4) courses from the core: one each from the Design, Implementation, Phenomena, and Evaluation categories.

PhD students
PhD students will be required to take four courses of their choice from the core: one each from the Design, Implementation, Phenomena, and Evaluation categories. In addition PhD students will select two more courses from either the list of core courses or from the list of Recommended Electives (below). In total, PhD Students will be required to take of six (6) courses.

Recommended Electives

  • ArtIS 508 – Computer Aided Visualization
  • CI 503 – Designing Effective Learning Environments
  • CI 511 – Technology Diffusion Leadership and Change
  • ENGL/LING/HCI 515 -Statistical Natural Language Processing
  • ENGL/LING 516 – Methods of Formal Linguistic Analysis
  • HCI 510X Foundations of Game-Based Learning
  • HCI 520 – Computational Analysis of English
  • HCI/ME 525 – Optimization Methods for Complex Designs
  • HCI 558 – Introduction to the 3D Visualization of Scientific Data
  • HCI 574 — Computational Implementation and Prototyping
  • HCI 585 – Developmental Robotics
  • HCI 587X – Models and Theories in Human Computer Interaction
  • HCI 596 – Emerging Practices in Human Computer Interaction
  • HCI 603 – Advanced Learning Environments Design
  • HCI 681 – Cognitive Engineering
  • IE 577 – Human Factors
  • STAT 587 – Statistical Methods for Research Workers

Other Electives

Many other courses may also apply to your course of study in HCI.  In selecting electives, students work with their Program of Study Committee. The Program of Study Committee makes the final decision about whether a course can apply to a student’s Program of Study.

The accuracy of the information in this document cannot be guaranteed. Check the ISU catalog and with the offering department for full details on pre-requisites, availability, instructors and times.

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