E/SEC 103, Spring 2023: Difference between revisions

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(Created page with "{| width=100% |- | colspan=2 align=center | <font color='blue' size='+2'>Technology Forecasting</font>__NOTOC__ |- valign=top | width=50% | '''Instructors''' * Richard Murray (CDS/BE), murray@cds.caltech.edu * Stu Feldman and Eric Schmidt * Lectures: Tu-Th, 1-2:30 pm, 130 CNRB | width=50% | '''Teaching Assistant''' * TBD * Office hours: TBD |} This is the public homepage for E/SEC 103, Spring 2022. === Catalog Description === This course is intended for students inter...")
 
 
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<font color='blue' size='+2'>Technology Forecasting</font>__NOTOC__
<font color='blue' size='+2'>Management of Technology</font>__NOTOC__
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* Richard Murray (CDS/BE), murray@cds.caltech.edu
* Richard Murray (CDS/BE), murray@cds.caltech.edu
* Stu Feldman and Eric Schmidt
* Stu Feldman and Eric Schmidt
* Lectures: Tu-Th, 1-2:30 pm, 130 CNRB
* Lectures: Mon/Wed, 1:30-2:55 pm
| width=50% |
| width=50% |
'''Teaching Assistant'''
'''Teaching Assistant'''
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This is the public homepage for E/SEC 103, Spring 2022.
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 waitlist will be available in case any spaces open up (to get on the waitlist, fill out the survey).
 
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<font color='red' size='+1'>[[http:forms.gle/Qd2qR9GRYBSohY826|'''PRE-ENROLLEMENT SURVEY''']]</font><br>
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=== Catalog Description ===
=== 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.
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 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 ===
=== Lecture Schedule ===
Line 28: Line 39:
| '''Date'''
| '''Date'''
| '''Topic'''
| '''Topic'''
| '''HW/Reading'''
| '''Lecturer(s)'''


|- valign=top
|- valign=top
| rowspan=2 | W1
| rowspan=2 | W1
| 29 Mar (Tu)
| 3 Apr (Mon)
| Class organization and logistics
| Class organization and logistics
|
| RM


|- valign=top
|- valign=top
| 31 Mar (Th)
| 5 Apr (Wed)
| Introduction to team formation, project choice
| What is Technology ([[http:link.springer.com/book/10.1007/978-3-030-88346-1|De Weck]], Ch 1); Scaling Laws (ES notes)
|  
| RM, ES


|- valign=top
|- valign=top
| rowspan=2 | W2
| rowspan=2 | W2
| 5 Apr (Tu)
| 10 Apr (Mon)
| Class objectives, intros, project discussion
| Project pitches
| Student introductions
| SF, RM


|- valign=top
|- valign=top
| 7 Apr (Thu)
| 12 Apr (Wed)
| Lecture: Teams and Results
| Quantifying Technological Progress (De Weck, Ch 4)
| Team formation
| RM


|- valign=top
|- valign=top
| rowspan=2 | W3
| rowspan=2 | W3
| 12 Apr (Tu)
| 17 Apr (Mon)*
| Guest lecture: TBD
| Caltech Library Resources
| Teams present their action plan (10 min each)
| Donna W


|- valign=top
|- valign=top
| 14 Apr (Th)
| 19 Apr (Wed)
| Lecture: Interviewing 101, Moore’s Law and Technology Evolution
| Patents and Intellectual Property (De Weck, Ch 5)
|
| RM


|- valign=top
|- valign=top
| rowspan=2 | W4
| rowspan=2 | W4
| 19 Apr (Tu)
| 24 Apr (Mon)
| Guest lecture
| Project presentations (for feedback)
| Team updates
| SF, RM


|- valign=top
|- valign=top
| 21 Apr (Th)
| 26 Apr (Wed)
| Lecture: Technology Evolution History
| Systems Modeling and Technology Sensitivity Analysis (De Weck, Ch 11)
| Team updates
| RM


|- valign=top
|- valign=top
| rowspan=2 | W5
| rowspan=2 | W5
| 26 Apr (Tue)
| 1 May (Mon)
| Guest lecture
| No class (prepare for midterm)
| Team updates
| N/A


|- valign=top
|- valign=top
| 28 Apr (Th)
| 3 May (Wed)
| Midterm presentations: 20 min/team
| valign=middle | Midterm presentations (1:30-4 pm)
|
| valign=middle | SF, RM, ES


|- valign=top
|- valign=top
| rowspan=2 | W6
| rowspan=2 | W6
| 3 May (Tu)
| 8 May (Mon)*
| Midterm presentations: 20 min/team
| No class (midterm feedback)
|
| N/A
|- valign=top
| 10 May (Wed)
| Technology Scouting  (De Weck, Ch 14)
| RM


|- valign=top
|- valign=top
| 5 May (Th)
| rowspan=2 | W7
| Lecture: Technology and the Other Stuff
| 15 May (Mon)*
|
| No class
| N/A


|- valign=top
|- valign=top
| rowspan=2 | W7
| 17 May (Wed)*
| 10 May (Tu)
| External Speaker #1 (2-3 pm)
| Guest lecture
| OI
| Team updates


|- valign=top
|- valign=top
| 12 May (Th)
| rowspan=3 | W8
| Guest lecture
| 22 May (Mon)
| Team updates
| rowspan=3 valign=middle | Individual project discussions
| rowspan=3 valign=middle | SF, RM


|- valign=top
|- valign=top
| rowspan=2 | W8
| 24 May (Wed)
| 17 May (Tu)
| Case study
|


|- valign=top
|- valign=top
| 19 May (Th)
| 26 May (Fri)
| Guest lecture
|


|- valign=top
|- valign=top
| rowspan=2 | W9
| rowspan=2 | W9
| 24 May (Tu)
| <s>29 May (Mon)</s>
| Final presentation dry runs
| Memorial Day (no class)
|
|  


|- valign=top
|- valign=top
| 26 May (Th)
| 31 May (Wed)
| Final presentations (Sr, Gr)
| External Speaker #2
|
| SM


|- valign=top
|- valign=top
| rowspan=2 | W10
| rowspan=2 | Finals
| 31 May (Tu)
| 9 Jun (Fri)
| TBD
| Final presentations
|
| SF, RM, ES


|- valign=top
|- valign=top
| 2 Jun (Th)
| 9 Jun (Fri)
| Final presentations (UG)
| Final report due
|
|  
 
|}
|}


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=== Course Text and References ===
=== Course Text and References ===


# [SMTI] Strategic Management of Technology and Innovation, 5th Edition, by Robert Burgelman, Clayton Christensen, Steven Wheelwright. McGraw-Hill, 2008.
# [De Weck] Olivier L. De Weck, [[http:link.springer.com/book/10.1007/978-3-030-88346-1|Technology Roadmapping and Development: A Quantitative Approach to the Management of Technology]]. 1st edition, Springer, 2022.
# [FMT] Forecasting and Management of Technology, 2nd Edition, by Alan L. Porter, Scott W. Cunningham, Jerry Banks, A. Thomas Roper, Thomas W. Mason, Frederick A. Rossini.  Wiley, 2011.


[[Category: Courses]]
[[Category: Courses]]

Latest revision as of 04:44, 30 May 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.

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 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 Apr (Mon) Class organization and logistics RM
5 Apr (Wed) What is Technology (De Weck, Ch 1); Scaling Laws (ES notes) RM, ES
W2 10 Apr (Mon) Project pitches SF, RM
12 Apr (Wed) Quantifying Technological Progress (De Weck, Ch 4) RM
W3 17 Apr (Mon)* Caltech Library Resources Donna W
19 Apr (Wed) Patents and Intellectual Property (De Weck, Ch 5) RM
W4 24 Apr (Mon) Project presentations (for feedback) SF, RM
26 Apr (Wed) Systems Modeling and Technology Sensitivity Analysis (De Weck, Ch 11) RM
W5 1 May (Mon) No class (prepare for midterm) N/A
3 May (Wed) Midterm presentations (1:30-4 pm) SF, RM, ES
W6 8 May (Mon)* No class (midterm feedback) N/A
10 May (Wed) Technology Scouting (De Weck, Ch 14) RM
W7 15 May (Mon)* No class N/A
17 May (Wed)* External Speaker #1 (2-3 pm) OI
W8 22 May (Mon) Individual project discussions SF, RM
24 May (Wed)
26 May (Fri)
W9 29 May (Mon) Memorial Day (no class)
31 May (Wed) External Speaker #2 SM
Finals 9 Jun (Fri) Final presentations SF, RM, ES
9 Jun (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.
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