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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* 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, location TBD
| 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.  Students selected for the course will be allowed to register via REGIS.  A wait list will be available in case any spaces open up.
 
<center><br>
<font color='red' size='+1'>[[http:forms.gle/Qd2qR9GRYBSohY826|PRE-ENROLLEMENT SURVEY]] (due 20 Feb 2023)</font><br>
</center>


=== 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 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 ===
=== Lecture Schedule ===
Line 28: Line 37:
| '''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, ES


|- valign=top
|- valign=top
| 31 Mar (Th)
| 5 Apr (Wed)
| Introduction to team formation, project choice
| Quantifying Technological Progress (De Weck, Ch 4)
|  
| 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
| External speaker #1
| Team formation
| TBD


|- valign=top
|- valign=top
| rowspan=2 | W3
| rowspan=2 | W3
| 12 Apr (Tu)
| 17 Apr (Mon)*
| Guest lecture: TBD
| Patents and Intellectual Property (De Weck, Ch 5)
| Teams present their action plan (10 min each)
| TBD


|- valign=top
|- valign=top
| 14 Apr (Th)
| 19 Apr (Wed)
| Lecture: Interviewing 101, Moore’s Law and Technology Evolution
| Project presentations (for feedback)
|
| SF, RM


|- valign=top
|- valign=top
| rowspan=2 | W4
| rowspan=2 | W4
| 19 Apr (Tu)
| 24 Apr (Mon)
| Guest lecture
| Case Study #1: The Automobile (De Weck, Ch 6)
| Team updates
| RM


|- valign=top
|- valign=top
| 21 Apr (Th)
| 26 Apr (Wed)
| Lecture: Technology Evolution History
| Technological Diffusion and Disruption (De Weck, Ch 7)
| Team updates
| RM


|- valign=top
|- valign=top
| rowspan=2 | W5
| rowspan=2 | W5
| 26 Apr (Tue)
| 1 May (Mon)
| Guest lecture
| External Speaker #2
| Team updates
| TBD


|- valign=top
|- valign=top
| 28 Apr (Th)
| 3 May (Wed)
| Midterm presentations: 20 min/team
| rowspan=2 valign=middle | Midterm presentations (day flexible)
|
| rowspan=2 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
|


|- valign=top
|- valign=top
| 5 May (Th)
| 10 May (Wed)
| Lecture: Technology and the Other Stuff
| Technology Roadmapping (De Weck, Ch 8)
|
| RM


|- valign=top
|- valign=top
| rowspan=2 | W7
| rowspan=2 | W7
| 10 May (Tu)
| 15 May (Mon)
| Guest lecture
| Case Study #2: TBD
| Team updates
| TBD


|- valign=top
|- valign=top
| 12 May (Th)
| 17 May (Wed)*
| Guest lecture
| External Speaker #3
| Team updates
| TBD


|- valign=top
|- valign=top
| rowspan=2 | W8
| rowspan=2 | W8
| 17 May (Tu)
| 22 May (Mon)
| Case study
| Technology Strategy and Competition (De Weck, Ch 11)
|
| RM


|- valign=top
|- valign=top
| 19 May (Th)
| 24 May (Wed)
| Guest lecture
| Project presentations (for feedback)
|
| SF, RM


|- valign=top
|- valign=top
| rowspan=2 | W9
| rowspan=2 | W9
| 24 May (Tu)
| 29 May (Mon)
| Final presentation dry runs
| Technology Infusion Analysis (De Weck, Ch 12)
|
| RM


|- valign=top
|- valign=top
| 26 May (Th)
| 31 May (Wed)*
| Final presentations (Sr, Gr)
| External Speaker #4 (or Case Study #3)
|
| TBD


|- valign=top
|- valign=top
| rowspan=2 | W10
| rowspan=2 | Finals
| 31 May (Tu)
| 5-9 Jun
| TBD
| Final presentations (day flexible)
|
| 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, 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]]

Revision as of 01:01, 13 February 2023

Technology Forecasting

Instructors

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

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. Students selected for the course will be allowed to register via REGIS. A wait list will be available in case any spaces open up.


PRE-ENROLLEMENT SURVEY (due 20 Feb 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 Apr (Mon) Class organization and logistics RM, ES
5 Apr (Wed) Quantifying Technological Progress (De Weck, Ch 4) RM, ES
W2 10 Apr (Mon) Project pitches SF, RM
12 Apr (Wed) External speaker #1 TBD
W3 17 Apr (Mon)* Patents and Intellectual Property (De Weck, Ch 5) TBD
19 Apr (Wed) Project presentations (for feedback) SF, RM
W4 24 Apr (Mon) Case Study #1: The Automobile (De Weck, Ch 6) RM
26 Apr (Wed) Technological Diffusion and Disruption (De Weck, Ch 7) RM
W5 1 May (Mon) External Speaker #2 TBD
3 May (Wed) Midterm presentations (day flexible) SF, RM, ES
W6 8 May (Mon)*
10 May (Wed) Technology Roadmapping (De Weck, Ch 8) RM
W7 15 May (Mon) Case Study #2: TBD TBD
17 May (Wed)* External Speaker #3 TBD
W8 22 May (Mon) Technology Strategy and Competition (De Weck, Ch 11) RM
24 May (Wed) Project presentations (for feedback) SF, RM
W9 29 May (Mon) Technology Infusion Analysis (De Weck, Ch 12) RM
31 May (Wed)* External Speaker #4 (or Case Study #3) TBD
Finals 5-9 Jun Final presentations (day flexible) 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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