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Stanford Center for Professional Development

(SCPD)  

Date: 
Friday, July 1, 2016
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Course topic: 

Now Open!

Overview

Changing the behavior and practices of energy users can be just as important as finding new sources of energy. It requires an understanding of community-based social marketing, psychology and behavioral economics for successful public action and support.

This course covers strategies for designing and implementing effective behavior change programs for promoting environmental sustainability using innovation and design decision frameworks.

You Will Learn

  • Consumer energy reduction intervention frameworks
  • Design thinking and behaviorally informed design principles
  • Personal motivations for engaging with energy consumption
  • Research-derived principles for deploying motivational plans
  • Self-monitoring engagement and social competition programs

Instructors

Tuition

  • $249 per online course

Questions

Please contact the Program Manager at
650.273.5459
scpd-energy@stanford.edu

Behavior Informed Design on Energy Conservation

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Fee and Application.

This course is offered through the Stanford Center for Professional Development as part of the Stanford Advanced Computer Security Certificate.

Applications may be submitted online at any time. Sample Application.

OVERVIEW

Network security is one of the most important computer science issues today. It helps businesses meet mandatory compliance regulations, protect customer data, and reduce the risk of legal action. Without a secure infrastructure and the expertise to remedy an issue, critical performance functions for users and computer programs may not be executable.

This course covers the latest practices for building reliable and secure code to defend against various attack techniques, harmful viruses and threats.

You Will Learn

  • Application security measures
  • How to identify operating system holes
  • The important interplay of privacy and digital rights management
  • Trends in malware, privacy and security for mobile devices
  • Ways to prevent network attacks and gaps in security policy

RESOURCES

Sample Course Syllabus: Network Security

RECOMMENDED

An equivalent of a BS in Computer Science and a background in security.
It is also recommended that you start the certificate program with XACS101- Software Security Foundations. It provides fundamental knowledge needed for the subsequent curriculum.

TUITION

  • $495 per online course
  • $75 one-time document fee

QUESTIONS

Call 650.741.1547 
or email scpd-acs-mail@stanford.edu

CERTIFICATES 

Stanford Advanced Computer Security Certificate

Instructor(s): 
Dan Boneh
John Mitchell
Network Security

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Date: 
Tuesday, June 7, 2016
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Course topic: 

COURSE OVERVIEW

Explore the new research ideas on mathematics learning and student mindsets that can transform students' experiences with math. Whether you are a teacher preparing to implement the new Common Core State Standards, a parent wanting to give your children the best math start in life, an administrator wanting to know ways to encourage math teachers or another helper of math learners, this course will help you. The sessions are all interactive and include various thinking tasks to promote active engagement - such as reflecting on videos, designing lessons, and discussing ideas with peers.

You Will Learn

  • New pedagogical strategies
  • An understanding of high quality math tasks
  • Questions to promote understanding
  • Messages to give students
  • Inspirational messages from educational thought-leaders

WHO SHOULD ENROLL?

Teachers of math (K-12) or other helpers of students, such as parents. An accompanying course for students is also available here.

COURSE STRUCTURE

The course comprises 8 sessions, each with videos and activities that require approximately 1.5 to 3 hours to complete.

What is the course pace?
The course will be self-paced, you can start and end the course at any time in the months it is open.

TUITION

$99 per person

Group enrollment is available at $99/person by purchase order, company check, or wire transfer by emailing stanford-educ@stanford.edu

A discounted rate is available for groups of 150 or more, at $75 per person. Please contact stanford-educ@stanford.edu for more information on groups of 150 people or more 

PROFESSIONAL DEVELOPMENT HOURS

In the first run of the course many school districts in the US gave 16 professional development hours to the teachers who took the course – which means finishing the course and completing most of the assignments. Stanford University makes no representations that participation in the course, including participation leading to a record of completion, will be accepted by any school district or other entity as evidence of professional development.

Participants are solely responsible for determining whether participation in the course, including obtaining a record of completion, will be accepted by a school district, or any other entity, as evidence of professional development coursework.

QUESTIONS?

Please contact 
stanford-educ@stanford.edu
 or call 650-263-4144

Instructor(s): 
Jo Boaler
How to Learn Math for Teachers

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Course Description

Stem cells provide enormous potential for the field of regenerative medicine. Their ability to become any type of cell-blood, heart, brain, bones, skin, muscles, etc.-offers hope for effective treatments, or perhaps even reversal of, a disease.

This course will advance your understanding of cell-based therapies and show you what it is being done today to develop and deliver them. Discover new ways to restore organ and tissue function for the treatment of chronic diseases, genetic disorders and serious injuries. Get a glimpse inside the laboratory of medical researchers who are pioneering stem cell therapeutics.

This course is an elective course in the Stanford Genetics and Genomics Certificate.

You Will Learn

  • Different sources of stem cells and how to identify them
  • Key components in the CRISPR/Cas9 gene editing method
  • Methods for quantifying iPS cell engraftment
  • Practices for designing and generating human iPS cells

Instructors

Chris Bjornson, Research Associate, Stanford University

Michele Calos, Professor of Genetics, Stanford University

Jane Lebkowski, President of Research and Development, Asterias

Matt Porteus, Associate Professor of Pediatrics (Cancer Biology), Stanford University

Soeren Turan, Instructor, Stanford University

Joseph Wu, Professor of Medicine (Cardiovascular) and of Radiology, Stanford University

Additional Resources

*This certificate neither substitutes for, nor leads to, being board certified as a genetic counselor (ABGC) or clinical geneticist (ABMG)


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Date: 
Monday, March 28, 2016
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Overview

Knowledge of sensors is fundamental for anyone in the field of engineering. This course is an essential introduction to the variety of sensors that are used in engineering practice. You will learn how to select and use sensors for laboratory experiments and final products.

Introduction to Sensors gives a comprehensive overview of common practice and includes some indication of the directions in which sensor technologies are heading. This course will include a lecture demonstration of a representative sensor from each category to elucidate operating principles and typical performance.

Instructors

Topics Include

  • Basics of measurements
  • Emerging applications and technologies
  • Introduction to sensors, as transducers from physical parameters to signals
  • Principles for sensing displacement, force, pressure, acceleration, temperature, optical radiation, nuclear radiation
  • Sensor range, sensitivity, accuracy, repeatability, noise
  • Introduction to circuits typically used to calibrate and condition sensor signals, and improve their performance

Units

3.0 - 4.0

Tuition & Fees

For course tuition, reduced tuition (SCPD member companies and United States Armed forces), and fees, please click Tuition & Fees.

 

Sensors

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Date: 
Tuesday, March 29, 2016
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Starts in March. Enroll Now!

Overview

Design is central to all engineering, but especially to control system design. Learn the process of analyzing and designing feedback control systems starting from a physical model of a system which will focus on everyday applications. Lectures are delivered by faculty who describe their real world experience with control system design and share their analysis from a variety of fields.

Instructors

Topics Include

  • Feedback Control
  • Modeling of Physical Systems
  • Root Locus Design
  • Nyquist Stability Criterion
  • System Sensitivity and Robustness

Units

3.0

Grading

Use of MATLAB (SIMULINK) throughout the course.

  • Homework (Weekly)
  • Midterm
  • Final Exam

Prerequisites

EE102, ME161, or equivalent

Tuition & Fees

For course tuition, reduced tuition (SCPD member companies and United States Armed forces), and fees, please click Tuition & Fees.

Feedback Control Design

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Date: 
Monday, December 21, 2015
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Course topic: 

Course Description

Genetics and genomics are undergoing an unparalleled revolution. A better understanding of biology and human health can create breakthroughs in disease treatment and introduces the prospect of personalized medicine. This course will begin with an introduction and review of the general principles of genomics and molecular biology. You will then explore in detail the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Learn how scientists sequence, assemble, and analyze the function and structure of genomes. Explore methods for determining the heritability of traits & diseases by studying the larger population, and learn how gene identification can help identify targets for therapeutic intervention. Explore how you could use personal genomics to manage your health.

This course is the required second course in the Stanford Genetics and Genomics Certificate.

You will learn

  • The principles of genetics, genes and traits
  • The applications and implications of genome sequencing
  • How personal genomics might impact healthcare
  • Tools used to diagnose and treat diseases
  • Methods for determining the heritability of traits and diseases

Instructors

Anne Brunet, Associate Professor of Genetics, Stanford University

Hinco Gierman, Geneticist, Illumina

Julie Granka, Personal Geneticist, Ancestry.com

Jonathon Pritchard, Professor of Genetics and Biology, Stanford University

Gavin Sherlock, Associate Professor of Genetics, Stanford University

Michael Snyder, Professor and Chair of Genetics; Certificate Academic Director, Stanford University

Barry Starr, Director, Outreach Activities; Certificate Program Director, Stanford University

Additional Resources

*This certificate neither substitutes for, nor leads to, being board certified as a genetic counselor (ABGC) or clinical geneticist (ABMG)

Genomics

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Date: 
Monday, December 21, 2015
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Course topic: 

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Course Description

The field of genetics is rich with discovery. Mapping the human genome, conducting genetic testing, and identifying new vaccines are just a few of the many ways genetics can have a powerful impact on our world. This course provides a stair-step introduction of genetics from the basic concepts to exploring more complex topics, including molecular biology, gene mapping and screening, and reverse and forward genetic research.You will explore both what is known about genes as well as how we use genetics research to better understand basic biology. This course will create the solid foundation needed to be successful in the subsequent courses within the program.

This course is the required first course in the Stanford Genetics and Genomics Certificate.

You will learn

  • The structure and function of genes, chromosomes and genomes
  • How traits get passed down through generations
  • The fundamentals of molecular biology
  • The use of genetic methods to analyze protein function, gene regulation and inherited disease
  • Existing and emerging model organisms of genetic research

Instructors

Kasia Bryc, Personal Geneticist, 23andMe

William Greenleaf, Assistant Professor of Genetics, Stanford University

Michael Snyder, Professor and Chair in Genetics; Certificate Academic Director, Stanford University

Barry Starr, Director, Outreach Activities; Certificate Program Director, Stanford University

Ruth Tennen, Lecturer, Stanford University

Monte Winslow, Assistant Professor of Genetics, Stanford University

Additional Resources

*This certificate neither substitutes for, nor leads to, being board certified as a genetic counselor (ABGC) or clinical geneticist (ABMG)

Fundamentals of Genetics

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Date: 
Monday, January 4, 2016 to Wednesday, March 16, 2016
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Overview

Cryptography is an indispensable tool for protecting information in computer systems. This introduction to the basic theory and practice of cryptographic techniques used in computer security will explore the inner workings of cryptographic primitives and how to use them correctly. 

Topics Include

  • Encryption (single and double key)
  • Pseudo-random bit generation
  • Authentication
  • Electronic commerce (anonymous cash, micropayments)
  • Key management, PKI, zero-knowledge protocols

Grading

There will be three written homework assignments and two programming projects. Final placement in the class will be determined by the following formula:

0.35 H + 0.35 P + 0.3 F

where:
  • H is your average score on the four written homework assignments.
  • P is the weighted average grade on the two programming projects.
  • F is your final exam score.

Instructors

  • Dan Boneh ProfessorComputer Science and Electrical Engineering

Units

3.0

Prerequisites

The course is self-contained, however a basic understanding of probability theory and modular arithmetic will be helpful. The course is intended for advanced undergraduates and masters students.

Tuition & Fees

For course tuition, reduced tuition (SCPD member companies and United States Armed forces), and fees, please click Tuition & Fees.

 

Introduction to Cryptography

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Date: 
Monday, January 4, 2016 to Friday, March 18, 2016
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Overview

Examine the application of probability in the computer science field and how it is used in the analysis of algorithms. Learn how probability theory has become a powerful computing tool and what current trends are causing the need for probabilistic analysis. Acquire an important understanding about randomness and its influence on the computing decisions made every day.

Topics Include

  • Counting and combinatorics
  • Conditional probability
  • Distributions
  • Point estimation
  • Limit theorems

Instructors

Units

3.0 - 5.0

Students enrolling under the non degree option are required to take the course for 5.0 units.

Grading

  • Problem Sets- 45%
  • Midterm- 20%
  • Final- 35%

Prerequisites

Mathematical Foundations of Computing (Stanford Course: CS103), and Programming Abstractions (Stanford Course:CS106B) or Accelerated Programming Abstractions (Stanford Course:CS106X), and Linear Algebra and Differential Calculus (Stanford Course: MATH51) or equivalent.

Tuition & Fees

For course tuition, reduced tuition (SCPD member companies and United States Armed forces), and fees, please click Tuition & Fees.

 

Introduction to Probability

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