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Calhoun Honors Discovery Program Courses

Fall 2024 Courses

CHDP students presenting their project

*Meeting Times: All CHDP courses will be asynchronous. Instructors will provide just-in-time open-to-all, face-to-face instruction based on student needs and requests as they emerge through the online interactions. Times will be adjusted to availability of students for each face to face instruction topic. Digital discussion and interaction forums will also enable peer to peer learning.  Student cohorts will progress through each module together through weekly deadlines that will ensure course completion in 5 weeks and facilitate peer to peer learning.

Calhoun Transdisciplinary Studios

CRNs: 90320, 90321, 90322 (Juniors can choose a section and will be reassigned to the correct one after teams are created)

Friday 8:00 – 10:50 am, Honors College Studios, Squires 134
3 credits

CRN 90320 – Professor Moyer
CRN 90321 – Professor Ruiz Geli
CRN 90322 – Professor Kretser

This studio course is a practice and prototyping study of transdisciplinary, collaborative design processes to address real-world problems in sociotechnical innovation provided by clients from industry, business, government, and nonprofit organizations. Student teams will be engaged in defining and analyzing real-world problems using Systems thinking and the Collaboration Sociotechnical Innovation Model (CSIM) Four Set framework. Other activities in this class include (but not exclude) the following: Identification and analysis of stakeholders. Skills discovery and transdisciplinary team building. Rapid Prototyping. Collaborative innovation. Evidence-based decision-making. Iterative Design. Troubleshooting.

Having successfully completed this course, students will be able to:

  • Use systems thinking to define & analyze real-world problems in collaborative sociotechnical innovation;
  • Identify stakeholders and analyze their needs in collaborative sociotechnical innovation;
  • Discover their own and their colleagues’ current skills in collaborative sociotechnical innovation;
  • Engage in strategic transdisciplinary team building processes; and
  • Produce rapid prototypes with valid evaluation plans

CRN’s: 90328, 90329, 90330 (Seniors can choose a section and will be reassigned to the correct one after teams are created)

Friday 8:00 – 10:50 am, Honors College Studios, Squires 134
3 credits

CRN 90328 – Professor Ruiz Geli
CRN 90329 – Professor Kretser
CRN 90330 – Professor Moyer

This studio course is an Advanced study of transdisciplinary, collaborative design processes to address real-world problems in sociotechnical innovation provided by clients from industry, business, government, and nonprofit organizations. Student teams will be engaged in developing impactful approaches to address real-world problems using Systems thinking and the Collaboration Sociotechnical Innovation Model (CSIM) Four Set framework. Other activities in this class include (but do not exclude) the following: Systems building; project leadership and management, including resource allocation and scheduling; team management; value propositions; project pitches; and rapid prototyping.

Having successfully completed this course, students will be able to:

  • Use systems thinking & CSIM to develop impactful approaches to address real-world problems in collaborative sociotechnical innovation;
  • Identify stakeholders and analyze their most important requirements in collaborative sociotechnical innovation;
  • Leverage their own and their colleagues’ current skills in collaborative sociotechnical innovation;
  • Engage in strategic transdisciplinary team building processes; and
  • Produce and test rapid prototypes using quantitative and qualitative evaluation methods.

UH 2814 Topics in Social Science in Technology Innovation for Societal Impact

*Meeting Times: All CHDP courses will be asynchronous. Instructors will provide just-in-time open-to-all, face-to-face instruction based on student needs and requests as they emerge through the online interactions. Times will be adjusted to availability of students for each face-to-face instruction topic. Digital discussion and interaction forums will also enable peer to peer learning.  Student cohorts will progress through each module together through weekly deadlines that will ensure course completion in 5 weeks and facilitate peer to peer learning.

CRN 90315
1st Module: Operations Management (Asynchronous)
1 Credit
Instructor: Michael Kretser

In this course, CHDP students who are non-business majors will be presented with an overview of concepts and solution methods related to operations management. This is a five-week module course intended to teach students foundational knowledge and skills in business operations analysis. This course should help build students’ interdisciplinary education by providing them with a business operations perspective that they can incorporate in their Calhoun Honors studio projects. Topics include: the relationship between operations management and the Calhoun Honors Discovery Program’s CSIM model, quality management and statistical process control, product and service design, capacity

CRN 90316
2nd Module: Supply Chain Management (Asynchronous)
1 Credit
Instructor: Michael Kretser

In this course, CHDP students who are non-business majors will be presented with an overview of concepts and solution methods related to supply chain management. This is a five-week module course intended to teach students foundational knowledge and skills in supply chain and logistics analysis. This course should help build students’ interdisciplinary education by providing them with a business perspective that they can incorporate in their Calhoun Honors studio projects. Topics include: SCM strategy and design, global supply chain procurement and distribution, forecasting, inventory management, linear programming, resource planning, and Lean systems.

CRN 90314
3rd Module: Optimization & Robustness (Asynchronous, Capable)
1 Credit
Instructor: Michael Kretser

In this course, Calhoun Honors students who are non-business majors will be provided the basic concepts in optimization and robustness through the process of developing and solving mathematical models.  Models represent complex systems of interacting decisions that require a global solution approach for optimization.  Practical limitations in optimization, arising from uncertainty and the time to solve a model, will be addressed through robust approaches.