Quantitative Biosciences and Engineering

Degrees Offered:

BS in Quantitative Biosciences and Engineering

Program Requirements

Student admissions to the QBE major will have the same requirements as admissions to Colorado School of Mines. There will be no additional requirements.

Program Description

The undergraduate program in Quantitative Biosciences and Engineering (QBE) is designed to provide a rigorous interdisciplinary training at the interface between biology, mathematics, computer sciences, material sciences, and chemistry, establishing a new hallmark for Colorado School of Mines. The students in the major will complete a program that includes the general Mines core, plus a set of required courses in biological sciences and data sciences along with an approved selection of biology electives. Electives are designed to support students with an interest in particular areas of biology (e.g., medicine, ecology, geobiology, systems biology, or molecular biology) along with critical quantitative and computational skills. Hands-on lab skill development and research opportunities through course-based research, undergraduate research, and independent study credit will be offered in partnership with several Mines research labs and/or corporate internships and co-ops. The curriculum will also focus on the entrepreneurial applications of biological discovery as well as the ethical, societal, and environmental concerns presented by modern biological advances. 

QBE Program Level Learning Outcomes

At the end of the QBE curriculum, students should be able to:

  1. Explain and apply foundational biological concepts in the areas of 1) evolution, 2) structure-function relationships, 3) biological networks and systems, 4) information storage and transfer, and 5) transformations of energy and matter.
  2. Explain and apply core skills and concepts in mathematical, physical, and data sciences including basic programming, working with biological datasets, modeling biological processes, and visualizing data
  3. Conduct rigorous experimental biological research through hypothesis testing, experimental design, use of research equipment, data collection, data analysis, and written and oral communication of results to diverse audiences.
  4. Work in diverse teams using technical expertise, multidisciplinary skills, effective communication, and entrepreneurship to establish goals, plan tasks, and solve problems.
  5. Evaluate the ethical and cultural impacts of modern biology and data science on local communities, worldwide society, and the environment.
  6. Obtain a position in quantitative biosciences in industry, government, or graduate/professional school.

Admission Requirements

Student admissions to the QBE major will have the same requirements as admissions to Colorado School of Mines. There will be no additional requirements.

Program Faculty

Joel Bach, Associate Professor of Mechanical Engineering

Linda Battalora, Teaching Professor of Petroleum Engineering

Suzannah Beeler, Assistant Teaching Professor of Chemical and Biological Engineering

Christian Beren, Teaching Assistant Professor of Chemistry

Cecilia Diniz Behn, Associate Professor of Applied Mathematics & Statistics

Nanette Boyle, Associate Professor of Chemical and Biological Engineering

Kevin Cash, Assistant Professor of Chemical and Biological Engineering

Anuj Chauhan, Professor of Chemical and Biological Engineering

Kristine Csavina, Teaching Professor of Mechanical Engineering

Duncan Davis-Hall, Teaching Assistant Professor of Engineering, Design, & Society

Dylan Domaille, Assistant Professor of Chemistry

Alina Handorean, Teaching Professor of Engineering, Design & Society

Christopher Higgins, Professor of Civil and Environmental Engineering

Melissa Krebs, Co-Director, QBE Graduate Program and Associate Professor of Chemical and Biological Engineering

Ramya Kumar, Assistant Professor of Chemical and Biological Engineering

Karin Leiderman, Co-Director, QBE Graduate Program and Associate Professor of Applied Mathematics & Statistics

Terry Lowe, Research Professor of Materials and Metallurgical Engineering

David Marr, Professor of Chemical and Biological Engineering

Alexander Pak, Assistant Professor, Chemical and Biological Engineering

Steve Pankavich, Associate Professor of Applied Mathematics & Statistics

Anthony Petrella, Associate Professor of Mechanical Engineering

Andrew Petruska, Assistant Professor of Mechanical Engineering

Matthew Posewitz, Professor of Chemistry

Josh Ramey, Director of the QBE Undergraduate Program and Teaching Associate Professor of Chemical and Biological Engineering

James Ranville, Professor of Chemistry

Justin Shaffer, Teaching Associate Professor of Chemical and Biological Engineering

Jonathan Sharp, Associate Professor of Civil and Environmental Engineering

Anne Silverman, Associate Professor of Mechanical Engineering

E. Dendy Sloan, Emeritus Professor of Chemical and Biological Engineering

John Spear, Professor, Civil and Environmental Engineering

Jeff Squier, Professor of Physics

Amadeu Sum, Professor of Chemical and Biological Engineering

Brian Trewyn, Associate Professor of Chemistry

Shubham Vyas, Associate Professor of Chemistry

Hua Wang, Associate Professor of Computer Science

Xiaoli Zhang, Associate Professor of Mechanical Engineering

Bachelor of Science in Quantitative Biosciences and Engineering Degree Requirements:

Biology Core Requirements

CBEN110FUNDAMENTALS OF BIOLOGY I4.0
CBEN120FUNDAMENTALS OF BIOLOGY II4.0
BIOL300QUANTITATIVE BIOLOGY I3.0
BIOL301QUANTITATIVE BIOLOGY II3.0
CBEN320CELL BIOLOGY AND PHYSIOLOGY3.0
CBEN321GENETICS4.0
CHGN428BIOCHEMISTRY3.0
CHGN431INTRODUCTORY BIOCHEMISTRY LABORATORY2.0
CHGN462MICROBIOLOGY3.0
or CEEN460 MOLECULAR MICROBIAL ECOLOGY AND THE ENVIRONMENT
BIOL412ENTREPRENEURSHIP IN THE BIOLOGICAL SCIENCES3.0
or BIOL491 QBE CAPSTONE DESIGN
BIOL415QUANTITATIVE BIOSCIENCES AND ENGINEERING FIELD SESSION3.0
CSCI478INTRODUCTION TO BIOINFORMATICS3.0

Fundamental Science and General Requirements

MATH111CALCULUS FOR SCIENTISTS AND ENGINEERS I4.0
MATH112CALCULUS FOR SCIENTISTS AND ENGINEERS II4.0
MATH213CALCULUS FOR SCIENTISTS AND ENGINEERS III4.0
MATH225DIFFERENTIAL EQUATIONS3.0
MATH201INTRODUCTION TO STATISTICS3.0
CHGN121PRINCIPLES OF CHEMISTRY I4.0
CHGN122PRINCIPLES OF CHEMISTRY II (SC1)4.0
CHGN221ORGANIC CHEMISTRY I3.0
CHGN223ORGANIC CHEMISTRY I LABORATORY1.0
CHGN222ORGANIC CHEMISTRY II3.0
EBGN321ENGINEERING ECONOMICS3.0
EDNS151CORNERSTONE - DESIGN I3.0
HASS100NATURE AND HUMAN VALUES4.0
HASS215FUTURES3.0
ELECTIVE CULTURE AND SOCIETY (CAS) Mid-Level Restricted Elective Courses
ELECTIVE CULTURE AND SOCIETY (CAS) 400-Level Restricted Elective Courses
PHGN100PHYSICS I - MECHANICS4.0
PHGN200PHYSICS II-ELECTROMAGNETISM AND OPTICS4.0
S&WSuccess and Wellness (4 electives)
CSCI128COMPUTER SCIENCE FOR STEM3.0
CSM101FRESHMAN SUCCESS SEMINAR1.0
CSM202INTRODUCTION TO STUDENT WELL-BEING AT MINES1.0

Free electives

9 credits of free electives. These can be used to cover prerequisites if necessary.

Technical Electives available

Technical electives with emphasis on biology-related courses, chosen from the following:

BIOL500CELL BIOLOGY AND BIOCHEMISTRY4.0
BIOL501ADVANCED BIOCHEMISTRY3.0
BIOL520SYSTEMS BIOLOGY3.0
CBEN304ANATOMY AND PHYSIOLOGY3.0
CBEN310INTRODUCTION TO BIOMEDICAL ENGINEERING3.0
CBEN311NEUROSCIENCE3.0
CBEN322BIOLOGICAL PSYCHOLOGY3.0
CBEN324INTRODUCTION TO BREWING SCIENCE3.0
CBEN411NEUROSCIENCE, MEMORY, AND LEARNING3.0
CBEN412PHARMACOKINETICS3.0
CBEN413QUANTITATIVE HUMAN BIOLOGY3.0
CBEN431IMMUNOLOGY FOR ENGINEERS AND SCIENTISTS3.0
CEEN461FUNDAMENTALS OF ECOLOGY3.0
CHGN311INTRODUCTION TO NANOSCIENCE AND NANOTECHNOLOGY3.0
CHGN409BIOLOGICAL INORGANIC CHEMISTRY3.0
CHGN429BIOCHEMISTRY II3.0
CHGN435PHYSICAL BIOCHEMISTRY3.0
CHGN441THE CHEMISTRY AND BIOCHEMISTRY OF PHARMACEUTICALS3.0
CHGN445CHEMICAL BIOLOGY3.0
CSCI220DATA STRUCTURES AND ALGORITHMS3.0
CSCI404ARTIFICIAL INTELLIGENCE3.0
CSCI470INTRODUCTION TO MACHINE LEARNING 3.0
DSCI403INTRODUCTION TO DATA SCIENCE3.0
MATH332LINEAR ALGEBRA3.0
MATH334INTRODUCTION TO PROBABILITY3.0
MATH431MATHEMATICAL BIOLOGY3.0
MATH472MATHEMATICAL AND COMPUTATIONAL NEUROSCIENCE3.0
BIOL499 INDEPENDENT STUDIES (up to 6 credits)

Free Technical Elective totals 28 credits

Degree Requirements: General Track

Freshman
Fallleclabsem.hrs
CBEN110FUNDAMENTALS OF BIOLOGY I  4.0
MATH111CALCULUS FOR SCIENTISTS AND ENGINEERS I  4.0
CHGN121PRINCIPLES OF CHEMISTRY I  4.0
EDNS151CORNERSTONE - DESIGN I  3.0
CSM101FRESHMAN SUCCESS SEMINAR  1.0
16.0
Springleclabsem.hrs
MATH112CALCULUS FOR SCIENTISTS AND ENGINEERS II  4.0
CHGN122PRINCIPLES OF CHEMISTRY II (SC1)  4.0
HASS100NATURE AND HUMAN VALUES  3.0
S&WSUCCESS AND WELLNESS  1.0
CBEN120FUNDAMENTALS OF BIOLOGY II  4.0
16.0
Sophomore
Fallleclabsem.hrs
CHGN221ORGANIC CHEMISTRY I3.0 3.0
CHGN223ORGANIC CHEMISTRY I LABORATORY 3.01.0
MATH213CALCULUS FOR SCIENTISTS AND ENGINEERS III4.0 4.0
CSCI128COMPUTER SCIENCE FOR STEM  3.0
PHGN100PHYSICS I - MECHANICS  4.0
CSM202INTRODUCTION TO STUDENT WELL-BEING AT MINES  1.0
16.0
Springleclabsem.hrs
CHGN222ORGANIC CHEMISTRY II3.0 3.0
MATH225DIFFERENTIAL EQUATIONS3.0 3.0
BIOL300QUANTITATIVE BIOLOGY I  3.0
PHGN200PHYSICS II-ELECTROMAGNETISM AND OPTICS  4.0
MATH201INTRODUCTION TO STATISTICS  3.0
16.0
Junior
Fallleclabsem.hrs
CHGN428BIOCHEMISTRY  3.0
CHGN431INTRODUCTORY BIOCHEMISTRY LABORATORY  2.0
HASS215FUTURES  3.0
BIOL301QUANTITATIVE BIOLOGY II  3.0
CBEN320CELL BIOLOGY AND PHYSIOLOGY  3.0
TECHTECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE I  3.0
17.0
Springleclabsem.hrs
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE I3.0 3.0
CBEN321GENETICS  4.0
TECHTECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE II  3.0
TECHTECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE III3.0 3.0
CHGN462MICROBIOLOGY or CEEN 460  3.0
16.0
Summerleclabsem.hrs
BIOL415QUANTITATIVE BIOSCIENCES AND ENGINEERING FIELD SESSION  3.0
3.0
Senior
Fallleclabsem.hrs
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE II3.0 3.0
FREE FREE ELECTIVE I  3.0
EBGN321ENGINEERING ECONOMICS*For the 2023 Catalog EBGN321 replaced EBGN201 as a Core requirement. EBGN321 was added to the core, but has a prerequisite of 60 credit hours. Students whose programs that required EBGN201 the sophomore year may need to wait to take EBGN321 until their junior year. For complete details, please visit: https://www.mines.edu/registrar/core-curriculum/  3.0
BIOL412ENTREPRENEURSHIP IN THE BIOLOGICAL SCIENCES or 491  3.0
CSCI478INTRODUCTION TO BIOINFORMATICS  3.0
15.0
Springleclabsem.hrs
FREEFREE ELECTIVE II  3.0
FREEFREE ELECTIVE III  3.0
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE III  3.0
TECH TECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE IV  3.0
TECH TECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE V  3.0
15.0
Total Semester Hrs: 130.0

Degree Requirements: Honors Track 

Freshman
Fallleclabsem.hrs
CBEN110FUNDAMENTALS OF BIOLOGY I  4.0
MATH111CALCULUS FOR SCIENTISTS AND ENGINEERS I  4.0
CHGN121PRINCIPLES OF CHEMISTRY I  4.0
EDNS151CORNERSTONE - DESIGN I  3.0
CSM101FRESHMAN SUCCESS SEMINAR  1.0
16.0
Springleclabsem.hrs
MATH112CALCULUS FOR SCIENTISTS AND ENGINEERS II  4.0
CHGN122PRINCIPLES OF CHEMISTRY II (SC1)  4.0
HASS100NATURE AND HUMAN VALUES  3.0
S&WSUCCESS AND WELLNESS  1.0
CBEN120FUNDAMENTALS OF BIOLOGY II  4.0
16.0
Sophomore
Fallleclabsem.hrs
CHGN221ORGANIC CHEMISTRY I3.0 3.0
CHGN223ORGANIC CHEMISTRY I LABORATORY 3.01.0
MATH213CALCULUS FOR SCIENTISTS AND ENGINEERS III4.0 4.0
CSCI128COMPUTER SCIENCE FOR STEM  3.0
PHGN100PHYSICS I - MECHANICS  4.0
CSM202INTRODUCTION TO STUDENT WELL-BEING AT MINES  1.0
16.0
Springleclabsem.hrs
CHGN222ORGANIC CHEMISTRY II3.0 3.0
MATH225DIFFERENTIAL EQUATIONS3.0 3.0
BIOL300QUANTITATIVE BIOLOGY I  3.0
PHGN200PHYSICS II-ELECTROMAGNETISM AND OPTICS  4.0
MATH201INTRODUCTION TO STATISTICS  3.0
HNRS398SPECIAL TOPICS IN THE UNIVERSITY HONORS AND SCHOLARS PROGRAM (Research Methods)  1.0
17.0
Junior
Fallleclabsem.hrs
CHGN428BIOCHEMISTRY  3.0
CHGN431INTRODUCTORY BIOCHEMISTRY LABORATORY  2.0
HASS215FUTURES  3.0
BIOL301QUANTITATIVE BIOLOGY II  3.0
CBEN320CELL BIOLOGY AND PHYSIOLOGY  3.0
BIOL499INDEPENDENT STUDY (Honors Research)  3.0
17.0
Springleclabsem.hrs
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE I3.0 3.0
CBEN321GENETICS  4.0
CHGN462MICROBIOLOGY or CEEN 460  3.0
BIOL499INDEPENDENT STUDY (Honors Research)  3.0
BIOL490QUANTITATIVE BIOSCIENCES & ENGINEERING UNDERGRADUATE SEMINAR (QBE Seminar)  1.0
14.0
Summerleclabsem.hrs
BIOL415QUANTITATIVE BIOSCIENCES AND ENGINEERING FIELD SESSION  3.0
3.0
Senior
Fallleclabsem.hrs
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE II3.0 3.0
FREE FREE ELECTIVE I  3.0
EBGN321ENGINEERING ECONOMICS*For the 2023 Catalog EBGN321 replaced EBGN201 as a Core requirement. EBGN321 was added to the core, but has a prerequisite of 60 credit hours. Students whose programs that required EBGN201 the sophomore year may need to wait to take EBGN321 until their junior year. For complete details, please visit: https://www.mines.edu/registrar/core-curriculum/  3.0
BIOL412ENTREPRENEURSHIP IN THE BIOLOGICAL SCIENCES or 491  3.0
CSCI478INTRODUCTION TO BIOINFORMATICS  3.0
HNRS498SPECIAL TOPICS (Research Communications)  1.0
16.0
Springleclabsem.hrs
FREEFREE ELECTIVE II  3.0
FREEFREE ELECTIVE III  3.0
ELECTIVE CULTURE AND SOCIETY (CAS) RESTRICTED ELECTIVE III  3.0
TECH TECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE I  3.0
TECH TECH ELECTIVE INTERDISCIPLINARY BIO TECHNICAL ELECTIVE II  3.0
15.0
Total Semester Hrs: 130.0
*

Signifies a new course needed for major degree offering.

BIOL300. QUANTITATIVE BIOLOGY I. 3.0 Semester Hrs.

This 3-credit course is designed as an introductory course for Quantitative Biosciences and Engineering (QBE) majors, providing them with the foundational skills needed to be a biologist, bioengineer, or medical doctor in the 21st century. Since biological data and questions are becoming more quantitative and more precise in nature, so must our approaches to our analysis. Accordingly, this course will explore the basics of how to access and analyze existing various types biological data across a wide range of biological scales including sequencing data at the molecular scale, microscopy data at the cellular and organismal scale, and tabular data at the ecological scale. From this data, students will learn to conduct fundamental data analysis and produce appropriate visualizations to illustrate their interpretations of the key results. Prerequisite: CBEN120, CSCI101. Co-requisite: MATH201.

View Course Learning Outcomes

View Course Learning Outcomes
  • Access and organize existing biological data sets
  • Produce plots and visualizations of biological data sets
  • Develop, write, and implement code in Python to analyze data in a biological context
  • Implement functions in Python to simulate and gain insight into biological processes
  • Conduct null hypothesis significance testing with respect to biological problems
  • Identify probability distributions as they appear in and apply to biological processes
  • Conduct linear regression on biological data

BIOL301. QUANTITATIVE BIOLOGY II. 3.0 Semester Hrs.

This course will extend the applications of quantitative biology, building from the foundation in biological data analysis established in BIOL300. Students will learn how to model biological systems both mathematically and computationally and ultimately compare model predictions to experimental data. Mathematical modeling will involve developing and solving differential equations to describe biological processes. Computational modeling will involve writing Python code to simulate various biological processes to gain insights into their behavior. Lastly, as a boarder type of modeling, students will explore biological sequences and genomes to develop both phylogenetic and metabolic models of organisms. Prerequisites: BIOL300, MATH225.

View Course Learning Outcomes

View Course Learning Outcomes
  • Develop differential equations to model biological systems at different scales (e.g. molecular, cellular, populations) Solve simple differential equations analytically for steady state, and explain the biological implications Solve complex differential equations computationally and plot dynamics to gain insight into biological processes Create code to stochastically and deterministically simulate biological processes Compare predictions from computational and mathematical models with results from experimental data Analyzing biological sequences to develop phylogenetic models of how organisms evolved Analyze genome sequences for metabolic properties and pathway development

BIOL410. ENTREPRENEURSHIP IN THE BIOLOGICAL SCIENCES SEMINAR. 1.0 Semester Hr.

This 1-credit course provides QBE majors with a snapshot of the fundamentals of entrepreneurship, with a particular focus on biomedical technologies.What is an entrepreneur? What does it take to be an entrepreneur? This course will provide a snapshot of the fundamentals of entrepreneurship, with a particular focus on biomedical technologies. Learn how novel technologies can be taken from bench to bedside, and all the considerations that must go into this type of technology translation. Whether or not you ever start your own company, or work for a startup, the topics that you are asked to think about as part of this course will help you in any future career as you deepen your understanding of technology-driven business. Think, act, innovate, and deliver like an entrepreneur. Prerequisites: BIOL301.

View Course Learning Outcomes

View Course Learning Outcomes
  • Describe the issues facing entrepreneurs when starting a venture.
  • Lay out the building blocks required for starting a company.
  • Effectively gather information about the market and competitive landscape.
  • Describe the importance of intellectual property and quality systems.
  • Evaluate FDA regulatory pathways for various types of biomedical products.
  • Effectively conduct customer discovery through interviews and data collection.
  • Evaluate new venture opportunities.
  • Deliver an effective pitch presentation.

BIOL412. ENTREPRENEURSHIP IN THE BIOLOGICAL SCIENCES. 3.0 Semester Hrs.

What is an entrepreneur? What does it take to be an entrepreneur? This course will provide a snapshot of the fundamentals of entrepreneurship, with a particular focus on biomedical technologies. Learn how novel technologies can be taken from bench to bedside, and all the considerations that must go into this type of technology translation. Whether or not you ever start your own company, or work for a startup, the topics that you are asked to think about as part of this course will help you in any future career as you deepen your understanding of technology-driven business. Think, act, innovate, and deliver like an entrepreneur. Prerequisites: BIOL301.

View Course Learning Outcomes

View Course Learning Outcomes
  • Describe the issues facing entrepreneurs when starting a venture.
  • Lay out the building blocks required for starting a company.
  • Effectively gather information about the market and competitive landscape.
  • Describe the importance of intellectual property and quality systems.
  • Evaluate FDA regulatory pathways for various types of biomedical products.
  • Effectively conduct customer discovery through interviews and data collection.
  • Evaluate new venture opportunities.
  • Deliver an effective pitch presentation.

BIOL415. QUANTITATIVE BIOSCIENCES AND ENGINEERING FIELD SESSION. 3.0 Semester Hrs.

In this course students will apply all they have learned in QBE courses to date to tackle large projects that have important societal, environmental, energy, and health impacts. Projects will include hands-on collection and analysis of field samples and modern molecular biology and biochemistry laboratory work. Students will need to use their molecular biology, biochemistry, experimental, data analysis, and computational skills to succeed in this course, which will ultimately prepare students for the next steps in their QBE and professional careers. Prerequisite: BIOL301, CHGN431.

View Course Learning Outcomes

View Course Learning Outcomes
  • 1. Explain and apply foundational biological concepts in the areas of molecular biology and biochemistry to solve novel problems related to genomic microbial exploration and recombinant protein production
  • 2. Explain and apply core skills and concepts in mathematical, physical, and data sciences including basic programming, working with biological datasets, modeling biological processes, and visualizing data
  • 3. Conduct rigorous experimental biological research through hypothesis testing, experimental design, use of research equipment, data collection, data analysis, and statistical analysis
  • 4. Communicate your progress and results through written reports and oral presentations to diverse audiences
  • 5. Work in diverse teams using multidisciplinary skills and effective communication to establish goals, plan tasks, and solve problems
  • 6. Evaluate the ethical and cultural impacts of genomic microbial exploration and recombinant protein production on local communities, worldwide society, and the environment

BIOL490. QUANTITATIVE BIOSCIENCES & ENGINEERING UNDERGRADUATE SEMINAR. 1.0 Semester Hr.

The Quantitative Biosciences and Engineering (QBE) Undergraduate Seminar provides a forum for QBE undergraduate students to participate in seminars given by QBE professionals, develop an enhanced understanding of the breadth of quantitative bioscience disciplines, and present their research projects. Grade is based on attendance over the semester. Prerequisites: BIOL300.

View Course Learning Outcomes

View Course Learning Outcomes
  • Exposure to ongoing work by QBE professionals.
  • Develop an enhanced understanding of the breadth of quantitative bioscience disciplines.
  • Exposure to new and innovative research methodologies in the quantitative biosciences.

BIOL491. QBE CAPSTONE DESIGN. 3.0 Semester Hrs.

Apply your knowledge of bioscience to a real-life engineering problem in this capstone design course dedicated to QBE majors. You will develop the ability to break large problems down into discrete tasks and explain complex ideas clearly and convincingly. Project teams will plan, test, model, and prepare a final design while considering economic and bioethical aspects of their design process. The design process will involve interviewing stakeholders, analyzing the state of current solutions, experimental methods, and presenting results in written and spoken form. Towards the end of the semester, your group will submit a final product report and pitch a product that solves your design problem to peers, professors, clients, and industry stakeholders. Options include a physical prototype, a detailed experimental protocol, or a software tool. QBE Capstone Design offers an open-ended design experience that will develop your problem-solving skills and advance your long-term career goals. Prerequisites: EDNS151. Co-requisites: Senior or graduate standing in QBE, BIOL301.

View Course Learning Outcomes

View Course Learning Outcomes
  • Design a device, program, or procedure using the iterative engineering design process.
  • Manage a project by setting deadlines and conducting update meetings with group members, clients, and the professor.
  • Develop a design test plan that leverages existing resources on campus and in the greater community.
  • Integrate universal design concepts, ethical considerations, and regulatory criteria into product decisions, documentation, and presentations.
  • Judge the feasibility and value of stakeholder feedback through surveys, interviews, product demonstrations, and testing.
  • Incorporate relevant feedback from a diverse group of stakeholders (including designers, manufacturers, and end-users) in the design process.
  • Predict product applications by comparing alternate use cases and future development of the professional field.