Question 1

When will I have access to the lectures and assignments?

Accepted Answer

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

Question 2

What will I get if I subscribe to this Specialization?

Accepted Answer

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Question 3

Is financial aid available?

Accepted Answer

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can't afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you'll find a link to apply on the description page.

Question 4

What will I be able to do upon completing this course?

Accepted Answer

How does Amazon know what to suggest you buy? In this course you'll explore how collection and analysis of our personal data impacts our technology use -- including concerns about our data privacy. You'll explore underlying technical concepts around cybersecurity and machine learning that contribute to both the pros and cons of our personal data use. After successfully completing this course you will be able to:

Question 5

Can this course help me get the California Supplementary Authorization to teach Computer Science?

Accepted Answer

Yes! This course is designed as component of a Specialization that is 1 of a set of 4 Specializations (all will be offered on Coursera) that will support the requirements of the California Supplementary Authorization. Additionally, the Specialization may support credentialing or authorization in other states. However, most states require a transcript from an accredited institution of higher education. See the FAQ question on â€œWill I earn university creditâ€ to find out how to get such a transcript.

Question 6

Will I earn university credit for completing this course?

Accepted Answer

Yes, you can earn UCSD credit for completing this course, but only by completing the full Teaching Impacts of Technology in K-12 Education Specialization. In addition, you will need to (1) Enroll in an additional UCSD Extension course before completing the capstone ($500) and (2), complete part of the capstone project via an online proctoring service. After this is done, your Specialization course grades will be accumulated and a transcript with your final grade (both letter grade or pass-only supported) will be issued from UCSD with 4 graduate-level units. These are eligible to count towards the California Supplementary Authorization.

Question 7

What background knowledge is necessary to succeed in this course?

Accepted Answer

There is no background knowledge, neither in education nor in Computer Science, required to take this course - just an interest in learning computational concepts about the technology that surrounds us and how to best teach those concepts to others.

Question 8

What is the value of taking this course online?

Accepted Answer

By providing this course online, our goal is to enable you to master all the material in the course at a pace that is appropriate for you, rather than the typical processes of picking a specific date and measuring how much you can learn by that date of in-person courses. Instead of the relatively bigger chunks of learning work found in traditional courses (e.g. go to class, read the book, do homework, study for the test) this course has a lot of smaller and more diverse activities that guide your learning experience. We use a lot of online features to:

Teaching Impacts of Technology: Data Collection, Use, and Privacy

Course Features

Course Description

Module 1: Course Orientation

Module 2: Data Collection

Module 3: Data Privacy

Module 4: Data Use

Course FAQs