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Fundamentals of Cybersecurity and Intelligence Gathering - Case Study Assignment
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Case Study Assignment for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Fundamentals of Cybersecurity and Intelligence Gathering - "Confidentiality, Integrity, Availability"
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Lecture #1 for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Fundamentals of Cybersecurity and Intelligence Gathering - "Encryption & Hashing"
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating

Lecture #4 for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Fundamentals of Cybersecurity and Intelligence Gathering - "Hackers"
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CC BY-NC-SA
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Lecture #3 for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Fundamentals of Cybersecurity and Intelligence Gathering - "Vulnerabilities & Exploits"
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating

Lecture #2 for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Global Inequality Lab 1
Only Sharing Permitted
CC BY-NC-ND
Rating

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students obtain data on the US and two other countries (one more developed and one less developed).

Subject:
Computer Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
LaGuardia Community College
Lehman College
Author:
Elin Waring
Janet Michello
Date Added:
05/31/2019
Global Inequality Lab 2
Only Sharing Permitted
CC BY-NC-ND
Rating

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students ultimately write a function to access country level data from the CIA World Factbook.

Subject:
Computer Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
LaGuardia Community College
Lehman College
Author:
Elin Waring
Janet Michello
Michello Janet
Waring Elin
Date Added:
05/31/2019
Syllabus: Fundamentals of Cybersecurity and Intelligence Gathering
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CC BY-NC-SA
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Syllabus for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Information Science
Material Type:
Syllabus
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Fahad Chowdhury
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating

This lesson is connected to but can be used independently of "Using Big Data to Identify and Understand Educational Inequality in America (1)"

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America (and how this relationship varies between and among states). Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this project. Three instructional hours.

Subject:
Computer Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
07/01/2019
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating

This is the first of two lessons/labs for teaching and learning of computer science and sociology. Either and be used on their own or they can be used in sequence, in which case this should be used first.

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America. Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this two-week project. Three instructional hours per week (total of six hours over two weeks).

Subject:
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
07/01/2019