A common core in human-centered design and innovation methodologies combined with specialized courses in design, engineering and business.
Students can combine product design courses to develop specific areas of expertise that leverage the University of Pennsylvania’s renowned faculty and comprehensive resources. Areas of expertise include user experience strategy, biodesign, robotics and intelligent product, and healthcare innovation. For the most updated information on all courses, please look for the departmental listings on the Course Register page. For more information about the curriculum, see the IPD Guidelines.
Explore your next course.
Foundation Courses
IPD 5000:
Product Engineering Basics
The course targets non-engineering majors interested in understanding engineering approaches to product fabrication. The course covers a broad variety of engineering topics including mechanical, electrical, computer and material science. Many of these topics would normally be full courses in themselves. This course intends to teach familiarity with a focus on hands-on practice as applied to products. Students will briefly use equipment such as materials testing machines, mills, lathes, oscilloscopes, laser cutters, photodiodes, motors, servos, microcomputers as well as engineering software such as Solidworks, C compilers, Labview, Matlab, and Cambridge Engineering Selector. The class concludes with independent projects.
Activity: Lecture
1 Course Unit
IPD 5030:
IPD Fundamentals
The creation of a successful product requires the integration of design, engineering, and marketing. The purpose of this intensive studio course is to introduce basic concepts in the design of three-dimensional products. For purposes of the course, design is understood as a creative act of synthesis expressed through various modes of 2-dimensional and 3-dimensional representation. The course develops basic design skills ranging from hand sketching to the use of digital modeling software and rapid prototyping. Fulfills the requirement for a design background course in the interdisciplinary graduate program in Integrated Product Design (IPD).
Activity: Studio
1 Course Unit
IPD 5450:
Eng Entrepreneurship I
Engineers and scientists create and lead great companies, hiring managers when and where needed to help execute their vision. Designed expressly for students having a keen interest in technological innovation, this course investigates the roles of inventors and founders in successful technology ventures. Through case studies and guest speakers, we introduce the knowledge and skills needed to recognize and seize a high-tech entrepreneurial opportunity – be it a product or service – and then successfully launch a startup or spin-off company. The course studies key areas of intellectual property, its protection and strategic value; opportunity analysis and concept testing; shaping technology driven inventions into customer-driven products; constructing defensible competitive strategies; acquiring resources in the form of capital, people and strategic partners; and the founder’s leadership role in an emerging high-tech company. Throughout the course emphasis is placed on decisions faced by founders, and on the sequential risks and determinants of success in the early growth phase of a technology venture. The course is designed for, but not restricted to, students of engineering and applied science and assumes no prior business education.
Prerequisite: Third or Fourth year or Graduate standing
One-term course offered either term
Activity: Lecture
1 Course Unit
Core IPD Courses
IPD 5140:
Design for Manufacturability
This course is aimed at providing current and future product design/development engineers, manufacturing engineers, and product development managers with an applied understanding of Design for Manufacturability (DFM) concepts and methods. The course content includes materials from multiple disciplines including: engineering design, manufacturing, marketing, finance, project management, and quality systems.
Prerequisites: MEAM 1010 or equivalent, MEAM 2100 or equivalent, Senior or Graduate standing in the School of Design, Engineering, or Business with completed product development and/or design engineering core coursework or related experience.
Course usually offered in spring term
Activity: Lecture
1 Course Unit
IPD 5150:
Product Design
This course provides tools and methods for creating new products. The course is intended for students with a strong career interest in new product development , entrepreneurship, and/or technology development. The course follows an overall product design methodology, including the identification of customer needs, generation of product concepts, prototyping, and design-for-manufacturing. Weekly student assignments are focused on the design of a new product and culminate in the creation of a prototype, which is launched at an end-of-semester public Design Fair. The course project is a physical good – but most of the tools and methods apply to services and software products.
One-term course offered either term
Activity: Lecture
1 Course Unit
IPD 5510:
Design Processes
One-term course offered either term
Activity: Lecture
1 Course Unit
IPD 5520:
Problem Framing
Course usually offered in spring term
Activity: Lecture
1 Course Unit
IPD 7990:
Final Project
One-term course offered either term
Activity: Lecture
1 Course Unit
IPD Electives
IPD 5090:
Needfinding
Course usually offered in spring term
Activity: Lecture
1 Course Unit
IPD 5250:
Ergonomics/Human Factors Based Product Design
One-term course offered either term
Activity: Lecture
1 Course Unit
IPD 5720:
Design Thinking and Making
One-term course offered either term
Activity: Seminar
1 Course Unit
Design Arts Electives
ARCH 7240:
Technology in Design: Immersive Kinematics/Physical Computing: Body of Site
Activity: Lecture
1 Course Unit
ARCH 7260:
Furniture Design as Strategic Process
Course usually offered in spring term
Activity: Seminar
1 Course Unit
ARCH 7370:
Semi-Fictious Realms
Usually offered in the Fall
Activity: Seminar
1 Course Unit
ARCH 7390:
New Approaches to an Architecture of Health
Health is taking on a new role in our society—with a refocusing from episodic care for those who are ill to a life-long view geared towards maintaining health and well-being. These changes are evident across numerous areas of design practice; from wearable technologies that track and analyze to large scale environmental and building-based initiatives that aim to create healthier environments and improve lives.
In order to frame our present day understanding of the role of architecture and design in fostering health for individuals and communities, this seminar will begin with an exploration of historical and contemporary perspectives—how they are shaped by our ever-changing understanding of the biological, social, and environmental causes of sickness and disease—and our ever-changing technological capabilities and scientific understanding. During this conversation, students will read articles, study recent projects, and engage with experts and practitioners in order to examine the ways in which designers approach these topics through built and constructed forms. Following from this foundation, students will craft arguments for a new approach to creating and supporting health and well-being for individuals and communities by rethinking services, products, systems, and/or architecture through an applied design proposal and written response that argues for a perspective on how architecture and design can and should shape the health of those who use and inhabit our designed work everyday.
Usually offered in the Fall
Activity: Seminar
1 Course Unit
ARCH 7430:
Form and Algorithm
Notes: only offered in Fall
Activity: Lecture
1 Course Unit
ARCH 7440:
Image, Object, Architecture
As we have entered a postdigital era, the dominance of a purely technological approach as a vehicle for design innovation has waned. Questions of substance and disciplinary autonomy have found their way back into the contemporary cultural discourse, enriching the way we examine and deploy advanced technologies towards novel expressions in architecture. This seminar will investigate, through the production of estranged objects, opportunities for design that are being generated at the intersection of machinic and human minds, and speculate on possible futures in which concepts of nature and technology have been inseparably intertwined.
Activity: Lecture
1 Course Unit
ARCH 7510:
Ecology, Technology, and Design
Notes: usually offered in Fall
Activity: Lecture
1 Course Unit
CPLN 5710:
Sensing the City
DSGN 5001:
Art, Design, and Digital Culture
Activity: Lecture
1 Course Unit
DSGN 5002:
Design 21: Design After the Digital Age
DSGN 5004:
Art of the Web: Interactive Concepts for Art & Design
DSGN 5005:
3-D Computer Modeling
Students will develop a comprehensive knowledge of how virtual worlds are constructed using contemporary computer graphics technique with a fine arts perspective. The course will offer the opportunity to explore the construction, texturing, and rendering of forms, environments, and mechanisms while conforming to modeling specifications required for animation, real-time simulations or gaming environments, and rapid prototyping.
Prerequisite: DSGN 523 and DSGN 636
Activity: Lecture
1 Course Unit
DSGN 5013:
Graphic Design Practicum
DSGN 5016:
Cultures of Making
DSGN 5018:
Graphic Design I: Creative Technologies
DSGN 5019:
Functions for Form and Material
DSGN 5021:
Information Design and Visualization
DSGN 5022:
Interfacing Cultures: Designing for Mobile, Web & Public Media
DSGN 5023:
User Experience (UX) and User Interface (UI) Design
Great user experience and user interface design are essential for creating digital products that people love. In this course, we’ll cover a range of topics from user research through designing visual interfaces, as well as principles of human-centered design and the design process. We’ll study existing products to understand the problems they solve and the elements that make them succeed. Lectures and coursework will include practical exercises with user journeys, flowcharts, style sheets, and prototyping tools. No design experience necessary.
1 Course Unit
IPD 5110:
How to Make Things: Production Prototyping Studio
The course centers around a sequence of three projects that each culminate in the design and fabrication of functional objects. A 2D Design, 3D Design, and final “Micro-Manufacturing” project will introduce students to a wide variety of design, engineering, and fabrication skills made possible by the new Studios @ Tangen Hall. The micro-manufacturing final project will task interdisciplinary student teams to create a “micro-business” where they will design and utilize 3D printed molding and casting techniques to create a small-scale run of functional products. These products will then be showcased in an end of semester exposition, where the teams will merchandise and market their products to the Penn community. This exposition will also be a wonderful inaugural use of the student and alumni retail space on the 1st floor of Tangen Hall and serve as a great university-wide event to show case the work of SEAS students. Requires proficiency in solid modeling software (e.g., SolidWorks, Maya, Rhino), practice with design process, and hands-on fabrication experience.
Also Offered As: OIDD 5110
1 Course Unit
IPD 5210:
Designing Smart Objects for Play and Learning
Today’s children enjoy a wide array of play experiences, with stories, learning, characters and games that exist as physical stand-alone objects or toys enhanced with electronics or software. In this course, students will explore the domain of play and learning in order to develop original proposals for new product experiences that are at once tangible, immersive and dynamic. They will conduct research into education and psychology while also gaining hands-on exposure to new product manifestations in a variety of forms, both physical and digital. Students will be challenged to work in teams to explore concepts, share research and build prototypes of their experiences in the form of static objects that may have accompanying electronic devices or software. Final design proposals will consider future distribution models for product experiences such as 3D printing, virtual reality and software- hardware integration. Instruction will be part seminar and part workshop, providing research guidance and encouraging connections will subject matter experts throughout the Penn campus.
Also Offered As: IPD 521
Course usually offered in fall term
Activity: Seminar
1 Course Unit
IPD 5270:
Industrial Design I
Course usually offered in fall term
Activity: Lecture
1 Course Unit
IPD 5280 (ARCH 7280):
Design of Contemporary Products: Design for Equity, Inclusion and Accessibility
Course usually offered in spring term
Activity: Seminar
1 Course Unit
IPD 5440:
Digital Fabrication
Course usually offered in spring term
Activity: Seminar
1 Course Unit
IPD 5680:
Integration Design Studio: Biological Design
One-term course offered either term
Activity: Studio
1 Course Unit
IPD 5900:
Special Topics: Escape the Algorithm
In this course, we’ll investigate the products we use every day — websites like Tiktok, Instagram, Wikipedia, Google Maps, and Amazon — and discuss the politics, software logic, network forces, and profit motives that determine what we do and don’t see. Then we’ll use that knowledge to plunge the internet’s deepest darkest depths, digging for the deleted, unread, maligned, and ignored. We’ll build websites that meditate on these themes, and design tools that give users new modes of consumption, navigation, and distribution, and wrestle agency back from platforms. More details
One-term course offered either term when in demand.
Activity: Lecture
1 Course Unit
Engineering Electives
BE 5140:
Rehab Engineering and Design
Students will learn about problems faced by disabled persons and medical rehabilitation specialists, and how engineering design can be used to solve and ameliorate those problems. The course combines lectures, multiple design projects and exercises, and field trips to clinical rehabilitation facilities. Students will have substantial interaction with clinical faculty, as well as with patients.
Prerequisite: Graduate students or permission of the instructor
One-term course offered either term
Activity: Lecture
1 Course Unit
CIS 5190:
Applied Machine Learning
The goal of Machine Learning is to build computer systems that can adapt and learn from their experience. In recent years we have seen a surge of applications that make use of machine learning technologies and one can argue that Machine learning has been essential to the success of many recent technologies, from natural language technologies (Siri, search technology, automated advertising, text correction) to computer vision technologies (image recognition applications, autonomous vehicles), genomics, medical diagnosis, social network analysis, and many others. This course will introduce some of the key machine learning methods that have proved valuable and successful in practical applications. We will discuss some of the foundational questions in machine learning in order to get a good understanding of the basic issues in this area, and present the main paradigms and techniques needed to obtain successful performance in application areas such as natural language and text understanding, speech recognition, computer vision, data mining, adaptive computer systems and others. The main body of the course will review several supervised and (semi/un)supervised learning approaches. These include methods for learning linear representations, decision-tree methods, Bayesian methods, kernel based methods and neural networks methods, as well as clustering, dimensionality reduction and reinforcement learning methods. We will also discuss how to model problems as machine learning problems, how to evaluate learning algorithms, and how to deal with some real-world issues such as noisy data, and domain adaptation.
Prerequisite: CIS 121
Activity: Lecture
1 Course Unit
CIS 5450:
Big Data Analytics
In the new era of big data, we are increasingly faced with the challenges of processing vast volumes of data. Given the limits of individual machines (compute power, memory, bandwidth), increasingly the solution is to process the data in parallel on many machines. This course focuses on the fundamentals of scaling computation to handle common data analytics tasks. You will learn about basic tasks in collecting, wrangling, and structuring data; programming models for performing certain kinds of computation in a scalable way across many compute nodes; common approaches to converting algorithms to such programming models; standard toolkits for data analysis consisting of a wide variety of primitives; and popular distributed frameworks for analytics tasks such as filtering, graph analysis, clustering, and classification. Recommended: broad familiarity with probability and statistics, as well as programming in Python. Additional background in statistics, data analysis (e.g., in Matlab or R), and machine learning is helpful (example : ESE 542).
Course offered summer, fall and spring terms
Prerequisite: CIS 110 OR CIT 591
Activity: Lecture
1 Course Unit
CIS 5570:
Programming for the web
This course will focus on web programming. The first half will focus on the basics of the internet and the Web, HTML and CSS, and basic and advanced Ruby. The second half will focus on Rails. Teams (of size 2-3) will build a web application in the second half of the semester as the class project. Through Rails, we’ll explore the “culture” of web programming such as agile methodology, testing, key aspects of software engineering, using web services and APIs, and deploying to the cloud.
Prerequisites: CIS 121, CIT 594, or equivalent, or permission of the instructor
Activity: Lecture
1 Course Unit
CIT 5900:
Programming Languages and Techniques
Activity: Lecture
1 Course Unit
ESE 5160:
IoT Edge Computing
This course was developed to bring lessons learned from the product design industry into the classroom – specifically focusing on Internet of Things (IoT) device development and deployment. To achieve the highest level of knowledge transfer, the course will incorporate device design theory with discussions of real-world product failures and successes – as well as a heavy hands-on component to build a device from end to end. Students will learn to use industry standard tools, such as Altium, Atmel Studio, and IBM Watson – allowing them the same level of power and customization at the disposal of startups and Fortune 500 companies alike. Prerequisite: If course requirements are not met, permission of the instructor is required.
Course usually offered in spring term
Prerequisite: ESE 5190
Activity: Lecture
1 Course Unit
ESE 5450:
Data Mining: Learning from Massive Datasets
Many scientific and commercial applications require us to obtain insights from massive, high-dimensional data sets. In this graduate-level course, students will learn to apply, analyze and evaluate principled, state-of-the-art technique s from statistics, algorithms and discrete and convex optimization for learning from such large data sets. The course both covers theoretical foundations and practical applications.
Course usually offered in spring term
Prerequisites: ESE 5300, ENM 5030
Activity: Lecture
1 Course Unit
IPD 5010:
Integrated Computer-Aided Design, Manufacturing and Analysis
The majority of today’s engineered products move through an advanced computer-aided workflow which greatly speeds design and process time. This course will explore the fundamental components of this workflow through a combination of lectures, hands-on exercises, and a semester design project. General course topics include: fundamental design principles, project definition and needfinding, advanced computer-aided design, rapid prototyping techniques, computer-controlled machining, and an in-depth exploration of the modern analysis and simulation tools that have revolutionized the way in which products are designed. Enrollment is limited.
Prerequisites: MEAM 1010, MEAM 1500, and MEAM 2100, or graduate standing in the School of Engineering, Design, or Wharton with similar experience.
Course usually offered in spring term
Activity: Lecture
1 Course Unit
IPD 5140:
Design for Manufacturability
This course is aimed at providing current and future product design/development engineers, manufacturing engineers, and product development managers with an applied understanding of Design for Manufacturability (DFM) concepts and methods. The course content includes materials from multiple disciplines including: engineering design, manufacturing, marketing, finance, project management, and quality systems.
Prerequisites: MEAM 1010 or equivalent, MEAM 2100 or equivalent, Senior or Graduate standing in the School of Design, Engineering, or Business with completed product development and/or design engineering core coursework or related experience
Course usually offered in spring term
Activity: Lecture
1 Course Unit
IPD/MEAM 5160:
Advanced Mechatronic Reactive Systems
This course combines performance art and advanced mechatronics concepts that include the design and implementation of large-scale actuation, advanced sensing, actuation and control. This course pairs design school and engineering students to form interdisciplinary teams that together design and build electro-mechanical reactive spaces and scenic/architectural elements in the context of the performing arts. The two disciplinary groups will be treated separately and receive credit for different courses (ARCH746 will be taught concurrently and in some cases co-located) as they will be learning different things. Engineering students gain design sensibilities and advanced mechatronics in the form of networked embedded processing and protocols for large scale actuation and sensing. Design students learn elementary mechatronics and design reactive architectures and work with engineering students to build them. The class will culminate in a some artistic performance (typically with professional artists) such as a Shakespeare play, robotic ballet, a mechatronic opera.
Prerequisite: MEAM 5100 (Mechatronics) or equivalent
Course usually offered in spring term
Course usually offered in spring term
IPD/ESE 5190:
Smart Devices
An embedded system is the product of a marriage between hardware and software. Embedded systems have grown to be ubiquitous in the modern world – from simple temperature controlled kettles to intricate smart watches with a plethora of functions squeezed into one small package to complex rovers for space exploration. This course introduces the theory and practice of developing embedded systems through exploration of modern microcontroller architectures and culminates in a final project where students have the opportunity to synthesize and apply their knowledge in a project of their own design. Previous programming experience (Preferably C); Some exposure to circuit/electronics; Undergraduates who have taken ESE 3500 are not permitted to take this course.
One-term course offered either term
Prerequisite: CIS 1200 AND ESE 3500
Activity: Lecture
1 Course Unit
IPD 5290:
Designing Connected Objects and Experiences
Activity: Lecture
1 Course Unit
MEAM 5080:
Materials and Manufacturing for Mechanical Design
The selection of materials and manufacturing processes are critical in the design of mechanical systems. Material properties and manufacturing processes are often tightly linked, thus this course covers both topics in an integrated manner. The properties and manufacturing processes for a wide range of materials (i.e., metals, ceramics, polymers, composites ) are examined from both a fundamental and practical perspective. From a materials standpoint, the course focuses on mechanical properties, including modulus, strength, fracture, fatigue, wear, and creep. Established and emerging manufacturing processes will be discussed. Design-based case studies are used to illustrate the selection of materials and processes.
Course usually offered in spring term
Activity: Lecture
1 Course Unit
MEAM 5100:
Design of Mechatronic Systems
In many modern systems, mechanical elements are tightly coupled with electronic components and embedded computers. Mechatronics is the study of how these domains are interconnected, and this hands-on, project-based course provides an integrated introduction to the fundamental components within each of the three domains, including: mechanical elements (prototyping, materials, actuators and sensors, transmissions, and fundamental kinematics), electronics(basic circuits, filters, op amps, discrete logic, and interfacing with mechanielements), and computing (interfacing with the analog world, microprocessor technology, basic control theory, and programming).
Prerequisite: Graduate standing in engineering or permission of the instructor.
Course usually offered in fall term
Activity: Lecture
1 Course Unit
MEAM 5200:
Introduction to Robotics
The rapidly evolving field of robotics includes systems designed to replace, assist, or even entertain humans in a wide variety of tasks. Recent examples include human-friendly robot arms for manufacturing, interactive robotic pets, medical and surgical assistive robots, and semi-autonomous search-and-rescue vehicles. This course presents the fundamental kinematic, dynamic, and computational principles underlying most modern robotic systems. The main topics of the course include: rotation matrices, homogeneous transformations, manipulator forward kinematics, manipulator inverse kinematics, Jacobians, path and trajectory planning, sensing and actuation, and feedback control. The material is reinforced with hands-on lab exercises involving a robotic arm.
Prerequisite: MEAM 211 AND MATH 240 AND ENGR 105
Course usually offered in fall term
Activity: Lecture
1 Course Unit
Business Electives
BDS 5010:
Behavioral Science: Theory and Application of Experimental Methods
Activity: Lecture
BDS 5120:
Power, Persuasion and Influence
Power and influence are fundamental for taking action in personal relationships, professional contexts and in society in general. To be able to use them effectively, however, we need to understand the nature, sources, uses and development of power and influence in these various contexts. To accomplish this goal, this course will survey theories of power, persuasion and influence from multiple disciplines and discuss their application to everyday actions. Permits offered to non-MBDS students if space is available. Request a permit here: http://www.sas.upenn.edu/lps/graduate/mbds/permit-request.
Activity: Lecture
BDS 5210:
Judgments & Decisions
EAS 5120:
Engineering Negotiation
EAS 5450:
Engineering Entrepreneurship I
Engineers and scientists create and lead great companies, hiring managers when and where needed to help execute their vision. Designed expressly for students having a keen interest in technological innovation, this course investigates the roles of inventors and founders in successful technology ventures. Through case studies and guest speakers, we introduce the knowledge and skills needed to recognize and seize a high-tech entrepreneurial opportunity – be it a product or service – and then successfully launch a startup or spin-off company. The course studies key areas of intellectual property, its protection and strategic value; opportunity analysis and concept testing; shaping technology driven inventions into customer-driven products; constructing defensible competitive strategies; acquiring resources in the form of capital, people and strategic partners; and the founder’s leadership role in an emerging high-tech company. Throughout the course emphasis is placed on decisions faced by founders, and on the sequential risks and determinants of success in the early growth phase of a technology venture. The course is designed for, but not restricted to, students of engineering and applied science and assumes no prior business education.
Prerequisite: Third or Fourth year or Graduate standing
One-term course offered either term
Activity: Lecture
1 Course Unit
EAS 5460:
Engineering Entrepreneurship II
This course is the sequel to EAS 5450 and focuses on the planning process for a new technology venture. Like its prerequisite, the course is designed expressly for students of engineering and applied science having a keen interest in technological innovation. Whereas EAS 5450 investigates the sequential stages of engineering entrepreneurship from the initial idea through the early growth phase of a startup company, EAS 5460 provides hands-on experience in developing a business plan for such a venture. Working in teams, students prepare and present a comprehensive business plan for a high-tech opportunity. The course expands on topics from EAS 5450 with more in-depth attention to: industry and marketplace analysis; competitive strategies related to high-tech product/service positioning, marketing, development and operations; and preparation of sound financial plans. Effective written and verbal presentation skills are emphasized throughout the course. Ultimately, each team presents its plan to a distinguished panel of recognized entrepreneurs, investors and advisors from the high-tech industry.
Prerequisite: EAS 545
One-term course offered either term
Activity: Lecture
1 Course Unit
EAS 5490:
Engineering Entrepreneurship Lab
ENVS 6530:
Corporate Sustainability Strategies
Activity: Lecture
ESE 5400:
Engineering Economics
This course is cross-listed with an advanced-level undergraduate course (ESE 400). Topics include: money-time relationships, discrete and continuous compounding, equivalence of cash flows, internal and external rate of return, design and production economics, life cycle cost analysis, depreciation, after-tax cash flow analysis, cost of capital, capital financing and allocation, parametric cost estimating models, pricing, foreign exchange rates, stochastic risk analysis, replacement analysis, benefit-cost analysis, and analysis of financial statements. Case studies apply these topics to engineering systems. Students are not required to do additional work compared to ESE 400 students. The work-load is identical.
Course usually offered in fall term
Also Offered As: ESE 4000
Activity: Lecture
1.0 Course Unit
FNCE 7500:
Venture Capital and the Finance of Innovation
Course usually offered in spring term
HCMG 8530:
Management and Strategy in Medical Devices and Technology
HCMG 8670:
Health Care Entrepreneurship
Course usually offered in spring term
Activity: Lecture
0.5 Course Units
MGMT 7290:
Intellectual Property Strategy for the Innovation-Driven Enterprise
Announcing the first iPhone at Macworld 2007, Apple CEO Steve Jobs famously boasted: “And boy, have we patented it!” How, and to what extent, do patents and intellectual property really provide competitive advantage for innovative technology companies? What makes an IP asset strategically powerful? How do patents impact, and even drive, major corporate decisions including M&A, venture funding and exits, and entry into new markets? In this course, students will learn to critically analyze and answer these questions, gaining insights they can leverage in their future roles as innovation industry executives, entrepreneurs, strategist and investors. The course includes three major units. In Unit 1, Patents and Innovation Value, we examine closely the relationship between competitive advantage, value proposition, and intellectual property (particularly patents). We will apply our understanding of that relationship to critique and sharpen patent strategy to protect examples of cutting-edge technologies. In Unit 2, Patent Leverage and the Corporate Playbook, we study theory and examples of how intellectual property leverage strategically informs corporate transactions and decisions, for established companies as well as for start-ups. In unit 3, Limits and Alternatives to Patents, we confront the recent legal trend toward reigning in the power and scope of patents. We also consider the growing importance of data as a proprietary technology asset, and discuss options for adapting intellectual property strategy appropriately. Throughout, students will learn and practice applying the concepts we learn to decision-making in examples based on innovative real-world technologies and businesses.
0.5 Credit units
MGMT 7310:
Technology Strategy
MGMT 8020:
Change, Innovation & Entrepreneurship
Designed for students with a serious interest in entrepreneurship, this course will provide you with an advanced theoretical foundation and a set of practical tools for the management of startups and entrepreneurial teams in fast-changing and innovative environments. Building on the skills of Management 801, every class session is built around an experience where you have to put learning into practice, including the award-winning Looking Glass entrepreneurial simulation, role-playing exercises, and a variety of other games and simulations. The goal is to constantly challenge you to deal with entrepreneurial or innovative experiences, as you learn to navigate complex and changing environments on the fly, applying what you learned to a variety of scenarios. Management 802 is built to be challenging and will require a desire to deal with ambiguous and shifting circumstances. Format: Lectures, discussion, interim reports, class participation, readings report, and presentations, and an innovation assessment in PowerPoint format.
MGMT 8010 strongly recommended.
MGMT 8040:
Venture Capital and Entrepreneurial Management
This elective half-semester course focuses on venture capital management issues in the context of the typical high-growth potential early stage start-up company. The course is fundamentally pragmatic in its outlook. It will cover seven principal areas relevant to the privately held high-growth start-up which include: commentary on the venture capital industry generally, as well as a discussion of the typical venture fund structure and related venture capital objectives and investment strategies; common organizational issues encountered in the formation of a venture backed start-up, including issues relating to initial capitalization, intellectual property and early stage equity arrangements; valuation methodologies that form the basis of the negotiation between the entrepreneur and the venture capitalist in anticipation of a venture investment; the challenges of fundraising, financing strategies and the importance of the business plan and the typical dynamics that play out between VC and entrepreneur. typical investment terms found in the term sheet and the dynamics of negotiation between the entrepreneur and the venture capitalist; compensation practices in a venture capital backed company; and corporate governance in the context of a privately-held, venture capital-backed start-up company and the typical dynamics that play out between VC and entrepreneur in an insider-led, “down round” financing.
Requirements: Classroom participation, weekly case assignments, and final exam Format: Lecture, case studies, class participation, weekly case assignments, and final exam.
MGMT 8010 recommended
Activity: Lecture
0.5 Course Unit
MGMT 8060:
Venture Implementation
Format: Highly interactive
Requirements: Class participation, interim assignments.
MGMT 8120:
Social Entrepreneurship
MKTG 6110:
Marketing Management
MKTG 6120:
Dynamic Marketing Strategy
Building upon Marketing 611, the goal of this course is to develop skills in formulating and implementing marketing strategies for brands and businesses. The course will focus on issues such as the selection of which businesses and segments to compete in, how to allocate resources across businesses, segments, and elements of the marketing mix, as well as other significant strategic issues facing today’s managers in a dynamic competitive environment. A central theme of the course is that the answer to these strategic problems varies over time depending on the stage of the product life cycle at which marketing decisions are being made. As such, the PLC serves as the central organizing vehicle of the course. We will explore such issues as how to design optimal strategies for the launch of new products and services that arise during the introductory phase, how to maximize the acceleration of revenue during the growth phase, how to sustain and extend profitability during the mature phase, and how to manage a business during the inevitable decline phase.
Prerequisite: MKTG 6110
MKTG 7110:
Consumer Behavior
MKTG 7120:
Data and Analysis for Marketing Decisions
This course introduces students to the fundamentals of data-driven marketing, including topics from marketing research and analytics. It examines the many different sources of data available to marketers, including data from customer transactions, surveys, pricing, advertising, and A/B testing, and how to use those data to guide decision-making. Through real-world applications from various industries, including hands-on analyses using modern data analysis tools, students will learn how to formulate marketing problems as testable hypotheses, systematically gather data, and apply statistical tools to yield actionable marketing insights.
One-term course offered either term
Also Offered As: MKTG 2120
Prerequisite: MKTG 6110 AND STAT 6130
Activity: Lecture
1.0 Course Unit
Format: Lecture and discussion
MKTG 7210:
New Product Management
This course provides a total immersion in the new product development process – from sourcing ideas and innovation, through new product sales forecasting. The focus is on collective learning, what works, what doesn’t, and why. While the primary focus is the new product development process within a corporate structure, some coverage is given to key issues surrounding start-ups.
Course not offered every year
Also Offered As: MKTG 2210
Prerequisite: MKTG 6110
Activity: Lecture
0.5 Course Units
Notes: One half term. 0.5, c.u, Check Meeting dates. Format: Lectures, cases, simulations, class discussions, and guest speakers.
MKTG 7270:
Marketing and Electronic Commerce
MKTG 7330:
Marketing for Social Impact
Private and public sector firms increasingly use marketing strategies to engage their customers and stakeholders around social impact. To do so, managers need to understand how best to engage and influence customers to behave in ways that have positive social effects. This course focuses on the strategies for changing the behavior of a target segment of consumers on key issues in the public interest (e.g., health behaviors, energy efficiency, poverty reduction, fund-raising for social causes). How managers partner with organizations (e.g., non-profits, government) to achieve social impact will also be explored.Fall
Prerequisite: MKTG 6110
0.5 Course Units
MKTG 7370:
Introduction to Brain Science for Business
Brain science offers the potential to unlock the future of business, by providing new insights that can enhance decision-making, improve precision in design and marketing, build team chemistry and cultivate leadership, fine-tune selection and human performance, drive creativity and innovation, create social value, and optimize digital interaction. New developments in biometrics, implantable and wearable devices, genomics, proteomics, metabolomics, nutrition, and the human microbiome, offer the opportunity for enhanced precision and impact in marketing, finance, management, analytics, and education. This course will provide an overview of contemporary brain science and its applications to business. Students first will be introduced to the basic anatomy and physiology of the brain and become familiar with important techniques for measuring and manipulating brain function. The course will then survey major findings in neuroscience with applications to business, including selective attention and advertising; valuation and marketing; decision making; learning, innovation and creativity; and social influence, team-building, and leadership. The course will end with a discussion of ethics, brain-machine interactions, and artificial intelligence. Applications to business, education, sports, law, and policy will be discussed throughout.
0.5 Course Unit
MKTG 7410:
Entrepreneurial Marketing
This course focuses on the real life marketing challenges involved in launching an entrepreneurial venture. The primary goal of the course will to provide a roadmap for students seeking to actively engage as entrepreneurs, investors or managers in the startup culture. Many of the entrepreneurial marketing principles studied in this course will be equally applicable to mid-size and larger companies seeking new approaches to drive top-line growth. The course will address how start-ups, early growth stage and more mature companies have used entrepreneurial marketing as an essential competitive weapon to grow their businesses by gaining customers, driving revenue, acquiring funding and recruiting A-level employees, advisors and directors. Students will form teams and select an idea/concept for an entrepreneurial venture, and by the conclusion of the course will have developed a fully fleshed out and testable marketing plan. Preferably, the selected venture will be one that one or more members of the team would consider implementing, should their plan prove feasible.
Prerequisites: Completion of MKTG 6110; and MKTG 6120 or MKTG 6130; and MKTG 7120; (May take MKTG 6120 or 6130, and MKTG 7120 concurrently); Students are discouraged from taking this course and MKTG 7210 except with permission of an MBA adviser.
Activity: Lecture
0.5 Course Unit
MKTG 7680:
Contagious: How Products, Ideas and Behaviors Catch On
Why do some products catch on and achieve huge popularity while others fail? Why do some behaviors spread like wildfire while others languish? How do certain ideas seem to stick in memory while others disappear the minute you hear them? More broadly, what factors lead to trends, social contagion, and social epidemics? Interactive media, word of mouth, and viral marketing are important issues for companies, brands, and organizations. This course looks at these and other topics as it examines how products, ideas, and behaviors catch on and become popular. Marketers want their product to be popular, organizations want their social change initiative to catch on and entrepreneurs want their ideas to stick. This course will touch on four main aspects: (1) Characteristics of products, ideas, and behaviors that lead them to be successful. (2) Aspects of individual psychology that influence what things are successful. (3) Interpersonal processes, or how interactions between individuals drive success. (4) Social networks, or how patterns of social ties influence success.
Activity: Lecture
1 Course Unit
MKTG 7700:
Digital Marketing, Social Media and E-Commerce
MKTG 770 explores the digital marketing environment from both a consumer and business perspective. The course provides an overview of various online business models and delves into digital advertising and social media marketing techniques and technologies. A mixture of case studies, guest speakers and assignments, including one that uses real advertising data, translates theory into practice. It is recommended that students enrolling in the course be comfortable using Excel and are knowledgeable in applying regression analysis techniques. Students who would prefer a less technical course may wish to take MKTG 727, Digital Marketing and Electronic Commerce, a half cu course offered by the department.
One-term course offered either term
Also Offered As: MKTG 2700
Prerequisite: MKTG 6110
Activity: Lecture
1.0 Course Unit
Notes: Students may not take both MKTG 7700 and MKTG 7270 for credit. This course replaces experimental course MKTG 7300
MKTG 7760:
Applied Probability Models in Marketing
This course will expose students to the theoretical and empirical “building blocks” that will allow them to develop and implement powerful models of customer behavior. Over the years, researchers and practitioners have used these methods for a wide variety of applications, such as new product sales forecasting, analyses of media usage, customer valuation, and targeted marketing programs. These same techniques are also very useful for other types of business (and non-business) problems. The course will be entirely lecture-based with a strong emphasis on real-time problem solving. Most sessions will feature sophisticated numerical investigations using Microsoft Excel. Much of the material is highly technical.
Taught by: Fader
Prerequisites: Students must have a high comfort level with basic integral calculus, and recent exposure to a formal course in probability and statistics is strongly recommended.
Course usually offered in spring term
Activity: Lecture, real-time problem solving
1 Course Unit
MKTG 8090:
Special Topics: Experiments for Business Decision Making
MKTG 8500:
Special Topics: Consumer Neuroscience
OIDD 6140:
Innovation
The course is first and foremost an intensive, integrative, project course in which student teams create one or more real businesses. Some businesses spun out of the course and now managed by alumni include Terrapass Inc. and Smatchy Inc. The project experience is an exciting context in which to learn key tools and fundamentals useful in innovation, problem solving, and design. Examples of these tools and fundamentals are: problem definition, identification of opportunities, generating alternatives, selecting among alternatives, principles of data graphics, and managing innovation pipelines. The course requires a commitment of at least 10 hours of work outside of class and comfort working on unstructured, interdisciplinary problems. Students with a strong interest in innovation and entrepreneurship are particularly encouraged to enroll. Please read carefully the syllabus posted on-line before registering for this course.
Fall
0.5 Course Units
OIDD 6620:
Enabling Technologies
Activity: Lecture
1 Course Unit
Notes: Lectures, discussions, assignments and class participation.