This laboratory-based course introduces students to the relationships among structure, processing, properties, and performance of solid state materials including metals, ceramics, polymers, composites, and semiconductors. Topics include atomic structure and bonding, crystallography, diffusion, defects, equilibrium, solubility, phase transformations, and electrical, magnetic, thermal, optical and mechanical properties. Students apply materials science principles in laboratory projects that emphasize experimental design and data analysis, examination of material composition and structure, measurement and modification of material properties, and connection of material behavior to performance in engineering applications. The course is offered in four ÔÇ£flavors.ÔÇØ Each flavor has a different emphasis in some of the course projects, but all course flavors provide for significant student choice in project topics and experimental processes. A. Historical Context (co-taught with AHSE 2110) B. Environmental and Societal Impact of Materials C. Biomaterials, Polymers and Mechanical Properties D. Electrical and Magnetic Properties

Topics for this course include combinatorics, number theory, graph theory, an emphasis on creative problem solving, and the ability to read and write rigorous proofs.

A student team will work in the manner of a small engineering research and development company to develop a mechanical or aerospace system to address a current market need. A comprehensive system design will be developed based upon quantitative analysis using commercial simulation software. Prototypes systems will be fabricated, evaluated and refined to meet performance objectives. This semester will focus on the design and fabrication of a 'perching' landing gear system for a small autonomous or remotely controlled air vehicle. The landing gear will enable the air vehicle to grab a hold of and land upon tree branches. Mechanical aspects dominate but there is a need for hardware and software development of sensors and instrumentation.

The STUFF of History is an integrated course activity that combines the knowledge, skills, and attitudes of materials science and history of technology. The term ÔÇ£integratedÔÇØ applies to every aspect of this course: both instructors are present at (nearly) all times; both instructors assess every major assignment jointly; every major assignment contains elements from both portions of this course; and you receive one grade for all eight credits. We think that that this integration comes very naturally: the subjects complement one another and the use of two perspectives produces a deep, provocative understanding.

This course introduces students to the fundamental aspects of biological science including biochemistry, molecular biology, human molecular genetics, and cellular communication. Students gain experience with contemporary research methods and scientific reasoning through laboratory experiments. The relevance of biology to the environment and health is emphasized.

This course covers the principles of statics of structures and mechanics of materials. The focus is on the concepts of stress and strain as related to applied loads (axial, shear, torsion, bending) and to resulting deformation. Students will learn how the principles of mechanics can be applied to mechanical design through modeling, quantitative analysis, strain gauge measurements, and computational simulation. The use of a commercial finite element package is introduced.

An introduction to the fundamental mathematical techniques and concepts used in solving linear systems of equations. Topics include matrices and vectors, Gaussian elimination, matrix inverses, transposes and factorizations, column, row, and nullspace of a matrix, rank of a matrix, determinants, and eigenvalues and eigenvectors.

This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.

This course will examine select topics in teaching and learning in undergraduate science and engineering. The goal of the class is to help participants become effective tutors, teaching assistants, mentors, and future instructors in these fields through a deep theoretical examination of and practica in teaching and learning in STEM courses. In a seminar format, participants will discuss research on best practices in pedagogy and curriculum design, cognition and learning, student classroom experiences, diversity, and assessment. Students will gain experience in instructional design, pedagogy, and assessment, and will develop a teaching portfolio. While the course materials discussed are largely on research in undergraduate science and engineering education, the course will touch on issues in mathematics education, and many course concepts can be extended to mathematics and technology instruction at the K-16 level.

A hands-on exploration of the design and development of user interfaces, taking into account the realities of human perception and behavior, the needs of users, and the pragmatics of computational infrastructure and application. Focuses on understanding and applying the lessons of human interaction to the design of usable computer applications; will also look at lessons to be learned from less usable systems. This course will mix studio (open project working time) and seminar (readings and discussion) formats.

Techniques for the design and analysis of mechanical and aerospace systems are studied through case projects that involve both computational analysis and experimental measurements. Topics will be selected from a range of possible topics such as vibration analysis, flexible body dynamics, aerodynamics, and aeroelasticity. Projects may include the design and construction of vibration absorbers or ambient vibration energy harvesting systems, the dynamics and stability of aerospace vehicles, lift and drag of airfoils, the control of flutter instabilities of elastic structures, the design and flight testing of a lighter-than-air-vehicle, or mission planning of aeronautical or aerospace systems.

An introduction to the fundamental mathematical techniques and concepts used in solving linear systems of equations. Topics include matrices and vectors, Gaussian elimination, matrix inverses, transposes and factorizations, column, row, and nullspace of a matrix, rank of a matrix, determinants, and eigenvalues and eigenvectors.

This course operates on three levels of inquiry and exploration. In the most detailed sense, we look at several major History of Technology themes, such as Technological Systems, Technology and Culture, and Technology and the Environment. We address larger historical questions, such as the interpretation of evidence and the combination of analysis and narrative. Finally, we conduct writing, presentation, creativity, and analysis exercises that contribute to competencies such as communication and contextual understanding.

This course aims to introduce and develop skills that facilitate a successful transition into Olin. This course will cultivate critical and creative thinking skills, self reflection, teamwork, leadership, and intrapersonal relationships with peers, faculty, and staff. This course is required.

Modern Physics is based upon a few fundamental ideas that allow the explanation of phenomena that seem to defy consistency with traditional (Newtonian) physics. The most important of these (in the context of engineering applications) are the principles of quantum mechanics and statistical mechanics. This course will introduce the basic concepts of Modern Physics, with particular application to atoms, molecules and the materials utilized in modern electronics.

An introduction to the fundamental mathematical techniques and concepts used in solving linear systems of equations. Topics include matrices and vectors, Gaussian elimination, matrix inverses, transposes and factorizations, column, row, and nullspace of a matrix, rank of a matrix, determinants, and eigenvalues and eigenvectors.

This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.

This course provides students with the opportunity to research about and experiment with their proposed AHS Capstone topic, to plan logistics, and to complete the Capstone proposal prior to enrolling in the AHS Capstone course. In other words, you are getting to test-run your topic without the stakes being too high, allowing yourself time to take risks and be creative, and preparing yourself to get the most out of your Capstone semester! Students will work on a series of tasks throughout this semester in an independent manner, and can solicit feedback from other students in this course, Capstone teaching assistants, and occasionally from Capstone teaching staff (Gillian Epstein, this semester). The TA should be the first contact person for all questions regarding this course. Tasks include: Complete AHS Capstone qualifying checklist and Personal Goals Email Complete and Revise AHS Capstone Proposal (project goals; form and size of disciplinary deliverable; methodology; budget; qualifications and education; initial source list; ethical considerations; concerns/questions; plan of work) Complete 2 citations (complete 2 of 5 citations necessary for AHS Capstone Progress Report) To see what you are ultimately aiming for, consult the syllabus for the current AHS Capstone course. Syllabus and assignments are located in course dropbox. The assignment document for the AHS Cap Prep class includes instructions for the checklist, personal goals email, proposal, and citation assignments that you are working towards this semester.

Perhaps the most fundamental question any developing individual asks himself/herself is: who am I? The ways we answer this question have evolved over the course of history as the dominant ways of knowing (epistemologies) have shifted. Indeed, the question of how we come to know ourselves has captivated Western scholars since the days of Descartes, but a look at the last fifty to sixty years has also seen enormous changes. Many people invoke psychological and philosophical perspectives in describing their identity, focusing on their personality, their developmental history, and their place in society. But the explosion of neurobiological research has introduced a new and viable outlook: explaining identity at the chemical and electrical level of the brain. There is good reason to think that these different perspectives on identity are mutually exclusive and this tension will underlie everything we discuss in this interdisciplinary course. Indeed, when it comes to a topic as fundamental to human existence as identity, it is absolutely essential to wonder not only ÔÇ£who am I?ÔÇØ but to also ask ÔÇ£how do I know?ÔÇØ In this course, we will approach the question of identity from multiple perspectives, including psychology, postmodern philosophy, and neuroscience. In the process, we will critically examine not only the conception of identity that each perspective supports, but also the assumptions and limitations of each epistemology. This course focuses more on the science of psychology and neuroscience, while AHSE 1150: What Is ÔÇ£IÔÇØ? is more focused on philosophy and artificial intelligence.

Topics for this course include combinatorics, number theory, graph theory, an emphasis on creative problem solving, and the ability to read and write rigorous proofs.

A review course covering those main topics from differential and integral calculus. The goal is to refresh and solidify prior derivative and integral knowledge while simultaneously looking forward to new applications. Topics Covered: curves and vectors in the plane; a review of differentiability with an emphasis on linearization (first order approximation); differentials; optimization and least squares; Taylor series (higher order approximations) and power series; functions defined by integrals and improper integrals; the fundamental theorem of calculus. Additional topics could include: introduction to differential equations with an emphasis on series solutions; special functions; introduction to Fourier series.

Modern Physics is based upon a few fundamental ideas that allow the explanation of phenomena that seem to defy consistency with traditional (Newtonian) physics. The most important of these (in the context of engineering applications) are the principles of quantum mechanics and statistical mechanics. This course will introduce the basic concepts of Modern Physics, with particular application to atoms, molecules and the materials utilized in modern electronics.

An introduction to the fundamental mathematical techniques and concepts used in solving linear systems of equations. Topics include matrices and vectors, Gaussian elimination, matrix inverses, transposes and factorizations, column, row, and nullspace of a matrix, rank of a matrix, determinants, and eigenvalues and eigenvectors.

Topics for this course include combinatorics, number theory, graph theory, an emphasis on creative problem solving, and the ability to read and write rigorous proofs.

A review course covering those main topics from differential and integral calculus. The goal is to refresh and solidify prior derivative and integral knowledge while simultaneously looking forward to new applications. Topics Covered: curves and vectors in the plane; a review of differentiability with an emphasis on linearization (first order approximation); differentials; optimization and least squares; Taylor series (higher order approximations) and power series; functions defined by integrals and improper integrals; the fundamental theorem of calculus. Additional topics could include: introduction to differential equations with an emphasis on series solutions; special functions; introduction to Fourier series.