E/SEC 103, Winter 2024: Difference between revisions

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|- valign=top
|- valign=top
| W1
| rowspan=2 | W1
| 3 Jan (Wed)
| 3 Jan (Wed)
| Class organization and logistics
| Class organization and logistics
| RM
| RM
|- valign=top
| 5 Jan (Fri)
| Optional brainstorming session
| TAs


|- valign=top
|- valign=top
| rowspan=2 | W2
| rowspan=2 | W2
| 8 Jan (Mon)
| 8 Jan (Mon)
| Project pitches
| ES talk + project pitches
| SF, RM, ES
| SF, RM, ES


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| rowspan=2 | W3
| rowspan=2 | W3
| 15 Jan (Mon)
| 15 Jan (Mon)
| Patents and Intellectual Property (De Weck, Ch 5)
| No class (Martin Luther King Day)
| RM
|  


|- valign=top
|- valign=top
| 17 Jan (Wed)
| 17 Jan (Wed)
| Project presentations (for feedback)
| Patents and Intellectual Property (De Weck, Ch 5)
| SF, RM
| SF, RM


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| rowspan=2 | W4
| rowspan=2 | W4
| 22 Jan (Mon)
| 22 Jan (Mon)
| Case Study #1: The Automobile (De Weck, Ch 6)
| Case Study
| RM
| RM


|- valign=top
|- valign=top
| 23 Jan (Wed)
| 24 Jan (Wed)
| Technological Diffusion and Disruption (De Weck, Ch 7)
| Systems Modeling and Technology Sensitivity Analysis (De Weck, Ch 11)
| RM
| RM


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| rowspan=2 | W5
| rowspan=2 | W5
| 29 Jan (Mon)
| 29 Jan (Mon)
| External Speaker #2
| Fermi problems
| RM
| RM


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| 31 Jan (Wed)
| 31 Jan (Wed)
| TDB
| TBD
| RM
| RM


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| rowspan=2 | W6
| rowspan=2 | W6
| 5 Feb (Mon)
| 5 Feb (Mon)
| Case Study #2: TBD
| Case Study
| RM
| RM


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| 7 Feb (Wed)
| 7 Feb (Wed)
| Technology Roadmapping (De Weck, Ch 8)
| TBD
| RM
| RM


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| rowspan=2 | W8
| rowspan=2 | W8
| 19 Feb (Mon)
| 19 Feb (Mon)
| Technology Strategy and Competition (De Weck, Ch 11)
| No class (Presidents Day)
| RM
|  


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| rowspan=2 | W9
| rowspan=2 | W9
| 26 Feb (Mon)
| 26 Feb (Mon)
| TBD
| External Speaker (or Case Study)
| RM
| RM


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| rowspan=2 | W9
| 4 Mar
| 4 Mar
| TBD
| External Speaker (or Case Study)
| RM
| RM


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| 6 Mar (Wed)
| 6 Mar (Wed)
|  
| External Speaker (or Case Study)
|  
| RM


|- valign=top
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| rowspan=2 | Finals
| rowspan=2 | Finals
| 11 Mar
| 11 Mar (Mon)
| Final presentations (day flexible)
| Final presentations
| SF, RM, ES
| SF, RM, ES


|- valign=top
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| 13 Mar (Fri)
| 15 Mar (Fri)
| Final report due
| Final report due
|  
|  

Revision as of 05:45, 11 November 2023

Management of Technology

Instructors

  • Richard Murray (CDS/BE), murray@cds.caltech.edu
  • Stu Feldman and Eric Schmidt
  • Lectures: Mon/Wed, 1:30-2:55 pm

Teaching Assistant

  • TBD
  • Office hours: TBD

This is the public homepage for E/SEC 103, Spring 2023. This course is limited enrollment. All students interested in participating must fill out a pre-enrollment survey. Names for students selected for the course will be given to the Registrar to be enrolled as long as there are no time conflicts. A wait list will be available in case any spaces open up.


PRE-ENROLLEMENT SURVEY (due 14 Nov 2023)

Catalog Description

This course is intended for students interested in learning how rapidly evolving technologies are harnessed to produce useful products or fertile new area for research. Students will work learn about how technology and innovation leaders identify and shape emerging technologies and how technology can be harnessed and scaled to create new products and services. There will be a term project where students predict the future evolution of an exciting technology and explore the potential implications of that technology. The course is team-based and designed for students considering choosing an exciting research area, working in companies (any size, including start-ups), or eventually going to business school. Topics include technology as a growth agent, financial fundamentals, integration into other business processes, product development pipeline and portfolio management, learning curves, risk assessment, technology trend methodologies (scenarios, projections), motivation, rewards and recognition. Industries considered will include electronics (hardware and software), aerospace, medical, biotech, etc. Students will perform both primary and secondary research and present defensible projections based on their technology research.

Learning Objectives

  • Teach students how to identify and analyze new technology areas/trends and explore the potential new applications of those technologies with potential for large impact
  • Provide students with access to technology leaders in different fields who can provide new insights, ideas on how to manage technology, and help build students’ networks
  • Identify new areas of research for potential investment by funding agencies and philanthropic organizations, with anticipated roadmap/path to impact

Lecture Schedule

Week Date Topic Lecturer(s)
W1 3 Jan (Wed) Class organization and logistics RM
5 Jan (Fri) Optional brainstorming session TAs
W2 8 Jan (Mon) ES talk + project pitches SF, RM, ES
10 Jan (Wed) Quantifying Technological Progress (De Weck, Ch 4) RM
W3 15 Jan (Mon) No class (Martin Luther King Day)
17 Jan (Wed) Patents and Intellectual Property (De Weck, Ch 5) SF, RM
W4 22 Jan (Mon) Case Study RM
24 Jan (Wed) Systems Modeling and Technology Sensitivity Analysis (De Weck, Ch 11) RM
W5 29 Jan (Mon) Fermi problems RM
31 Jan (Wed) TBD RM
W6 5 Feb (Mon) Case Study RM
7 Feb (Wed) TBD RM
W7 12 Feb (Mon) Midterm presentations (day flexible) SF, RM, ES
14 Feb (Wed) TBD RM
W8 19 Feb (Mon) No class (Presidents Day)
21 Feb (Wed) Project presentations (for feedback) SF, RM
W9 26 Feb (Mon) External Speaker (or Case Study) RM
28 Feb (Wed)* External Speaker (or Case Study) TBD
W9 4 Mar External Speaker (or Case Study) RM
6 Mar (Wed) External Speaker (or Case Study) RM
Finals 11 Mar (Mon) Final presentations SF, RM, ES
15 Mar (Fri) Final report due

Grading

  • 20% - Class participation
  • 20% - Midterm presentation
  • 30% - Final presentation
  • 30% - Final writeup

Collaboration Policy

This is a team-based class. Full collaboration is allowed and students are encouraged to discuss course materials, homework assignments, and projects with anyone that they choose. Course homework assignments are designed to be done as a group, but reports should reflect your individual understanding of the topic and/or your team's joint efforts, as appropriate.

Course Text and References

  1. [De Weck] Olivier L. De Weck, Technology Roadmapping and Development: A Quantitative Approach to the Management of Technology. 1st edition, Springer, 2022.