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Introduction to Computer Science
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Dear student! You are starting to learn about computation and its purpose. This course covers the same materials as an introductory class for undergraduate computer science majors. Its curriculum, which includes software, hardware and algorithms, resembles that of a one- or two-semester first-year college course or the high school Advanced Placement (AP) Computer Science. It does not require a formal computer science background.

Subject:
Computer Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
09/22/2017
Introduction to Computer Science I
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CC BY
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This course will introduce students to the field of computer science and the fundamentals of computer programming. No prior programming experience is required. Upon successful completion of this course, students will be able to: Demonstrate an understanding of the history of computing as well as fundamental hardware and software concepts; Demonstrate an understanding of the programming life cycle; Explain how the JVM translates Java code into executable code; Demonstrate an understanding of Object-Oriented Programming concepts; Demonstrate an understanding of basic Java concepts by writing simple programs; Demonstrate an understanding of logical and relational operators as well as control structures; Demonstrate proficiency in basic Java I/O techniques by writing small programs. (Computer Science 101; See also: Mathematics 302)

Subject:
Computer Science
Material Type:
Full Course
Provider:
The Saylor Foundation
Date Added:
11/16/2011
Lecture 1: Probability and Statistics for Computer Science
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Probability and Statistics for Computer Science - Week #10
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Homework for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Probability and Statistics for Computer Science - Week #11
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Homework for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Probability and Statistics for Computer Science - Week #2
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Homework for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Probability and Statistics for Computer Science - Week #5
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Probability and Statistics for Computer Science - Week #8
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Homework for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 11: Probability and Statistics for Computer Science - "Linear Regression"
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Exam: Probability and Statistics for Computer Science - "Midterm Exam Review"
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Midterm Exam Review for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Assessment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 7: Probability and Statistics for Computer Science - "Project Review"
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 2: Probability and Statistics for Computer Science - "Descriptive Stats"
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Agovino Evan
Cuny City College
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Course Materials and Syllabus for CS 162: Introduction to Computer Science II
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CC BY
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Collection of OER materials created for use in a computer science introductory class, including a syllabus and 10-week schedule with projects, resources, and discussion topics. Also includes guidelines for a final project.

Subject:
Computer Science
Material Type:
Syllabus
Provider:
OpenOregon
Author:
Joseph I. Jess
Date Added:
03/29/2024
Exam: Probability and Statistics for Computer Science - "Practice Final Exam"
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CC BY-NC-SA
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Practice Final Exam for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Assessment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Computer Architecture
Unrestricted Use
CC BY
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The purpose of this course is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software. The student will study the history of modern computing technology before learning about modern computer architecture, then the recent switch from sequential processing to parallel processing. Upon completion of this course, students will be able to: identify important advances that have taken place in the history of modern computing and discuss some of the latest trends in computing industry; explain how programs written in high-level programming language, such as C or Java, can be translated into the language of the hardware; describe the interface between hardware and software and explain how software instructs hardware to accomplish desired functions; demonstrate an understanding of the process of carrying out sequential logic design; demonstrate an understanding of computer arithmetic hardware blocks and floating point representation; explain how a hardware programming language is executed on hardware and how hardware and software design affect performance; demonstrate an understanding of the factors that determine the performance of a program; demonstrate an understanding of the techniques that designers use to improve the performance of programs running on hardware; demonstrate an understanding of the importance of memory hierarchy in computer design and explain how memory design impacts overall hardware performance; demonstrate an understanding of storage and I/O devices, their performance measurement, and redundant array of inexpensive disks (more commonly referred to by the acronym RAID) technology; list the reasons for and the consequences of the recent switch from sequential processing to parallel processing in hardware manufacture and explain the basics of parallel programming. (Computer Science 301)

Subject:
Computer Science
Material Type:
Full Course
Provider:
The Saylor Foundation
Date Added:
11/16/2011
Lecture 5: Probability and Statistics for Computer Science - "Random Variables and Distribution"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 10: Probability and Statistics for Computer Science - "Relationships Between Variables"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Computer Networks: A Systems Approach
Unrestricted Use
CC BY
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Suppose you want to build a computer network, one that has the potential to grow to global proportions and to support applications as diverse as teleconferencing, video on demand, electronic commerce, distributed computing, and digital libraries. What available technologies would serve as the underlying building blocks, and what kind of software architecture would you design to integrate these building blocks into an effective communication service? Answering this question is the overriding goal of this book—to describe the available building materials and then to show how they can be used to construct a network from the ground up.

Subject:
Computer Science
Material Type:
Textbook
Author:
Bruce Davie
Larry Peterson
Date Added:
09/12/2019
Lecture 9: Probability and Statistics for Computer Science - "Hypothesis Testing, Part Two"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 4: Probability and Statistics in Computer Science - "Basic Probability, Part Two"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 8: Probabiity and Statistics for Computer Science - "Hypothesis Testing, Part One"
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 3: Probabiity and Statistics for Computer Science - "Basic Probability, Part One"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 6: Probability and Statistics for Computer Science - "The Normal Distribution and Central Limit Theorum"
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CC BY-NC-SA
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Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 6: Distributed Systems and Cloud Computing - "Cloud Computing Concepts"
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CC BY-NC-SA
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Lecture #6 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Computing Concepts". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
An Introduction to Computer Networks
Only Sharing Permitted
CC BY-NC-ND
Rating
2.0 stars

Welcome to the website for An Introduction to Computer Networks, a free and open general-purpose computer-networking textbook, complete with diagrams and exercises. It covers the LAN, internetworking and transport layers, focusing primarily on TCP/IP. Particular attention is paid to congestion; other special topics include queuing, real-time traffic, network management, security and the ns simulator.

The book is suitable as the primary text for an undergraduate or introductory graduate course in computer networking, as a supplemental text for a wide variety of network-related courses, and as a reference work.

Subject:
Computer Science
Material Type:
Textbook
Author:
Peter L. Dordal
Date Added:
01/01/2014
Current & Emerging Computing Technology
Unrestricted Use
CC BY
Rating
0.0 stars

Short Description:
This book is written for the typical computer user: someone who uses computers for day-to-day activities (browsing the web, sending/receiving email, etc.) and is interested in delving a bit deeper into some of the current technology concepts and terminology.

Long Description:
This book is written for the typical computer user: someone who uses computers for day-to-day activities (browsing the web, sending/receiving email, etc.) and is interested in delving a bit deeper into some of the current technology concepts and terminology.

Word Count: 24004

ISBN: 978-1-77420-191-6

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Computer Science
Communication
Material Type:
Textbook
Provider:
BCcampus
Date Added:
10/05/2022
Key Concepts of Computer Studies
Unrestricted Use
CC BY
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0.0 stars

Short Description:
If you are looking for a quick study guide in Computer Studies, this book is an excellent resource. Skip the lengthy and distracting books and instead use this book to guide your studies, review your knowledge, or help with tutoring. This book quickly gets to the heart of each particular topic, helping students with a quick review before doing homework or preparing for a test.

Long Description:
If you are looking for a quick study guide in Computer Studies, this book is an excellent resource. Skip the lengthy and distracting books and instead use this book to guide your studies, review your knowledge, or help with tutoring. This book quickly gets to the heart of each particular topic, helping students with a quick review before doing homework or preparing for a test.

Word Count: 22107

ISBN: 978-1-77420-085-8

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Computer Science
Business and Communication
Material Type:
Textbook
Provider:
BCcampus
Author:
Meizhong Wang
Date Added:
11/27/2020
Final Project Assignment: Distributed Systems and Cloud Computing
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CC BY-NC-SA
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Final Project Assignment for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing. Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Activity/Lab
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 1: Distributed Systems and Cloud Computing - "Overview"
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CC BY-NC-SA
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Lecture #1 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Overview". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
How to Think Like a Computer Scientist: Learning with Python
Unrestricted Use
CC BY
Rating
5.0 stars

Python is a fun and extremely easy-to-use programming language that has steadily gained in popularity over the last few years. Developed over ten years ago by Guido van Rossum, Python's simple syntax and overall feel is largely derived from ABC, a teaching language that was developed in the 1980's. However, Python was also created to solve real problems and it borrows a wide variety of features from programming languages such as C++, Java, Modula-3, and Scheme. Because of this, one of Python's most remarkable features is its broad appeal to professional software developers, scientists, researchers, artists, and educators. 278 page pdf file.

Subject:
Computer Science
Material Type:
Textbook
Provider:
Green Tea Press
Author:
Allen B. Downey
Jeffrey Elkner
Date Added:
01/01/2008
Lecture 3: Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication"
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CC BY-NC-SA
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Lecture #3 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 4: Distributed Systems and Cloud Computing - "Distributed File Systems"
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CC BY-NC-SA
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Lecture #4 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed File Systems". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 2: Distributed Systems and Cloud Computing - "Key Concepts & Techniques"
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CC BY-NC-SA
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Lecture #2 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Key Concepts & Techniques". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 11: Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics"
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CC BY-NC-SA
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Lecture #11 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Designing Computational Biology Workflows with Perl
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This material introduces Linux File System structures and demonstrates how to use commands to communicate with the operating system through a Terminal program. Basic program structures and system() function of Perl are discussed. A brief introduction to gene-sequencing terminology and file formats are given.

Subject:
Computer Science
Material Type:
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Yildirim Esma
Date Added:
05/01/2019
Designing Computational Biology Workflows with Perl
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This material introduces the AWS console interface, describes how to create an instance on AWS with the VMI provided, connect to that machine instance using the SSH protocol. Once connected, it requires the students to write a script to enter the data folder, which includes gene-sequencing input files and print the first five line of each file remotely. The same exercise can be applied if the VMI is installed on a local machine using virtualization software (e.g. Oracle VirtualBox). In this case, the Terminal program of the VMI can be used to do the exercise.

Subject:
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Date Added:
06/04/2019
Computer Networking: Principles, Protocols and Practice
Unrestricted Use
CC BY
Rating
0.0 stars

This open textbook aims to fill the gap between the open-source implementations and the open-source network specifications by providing a detailed but pedagogical description of the key principles that guide the operation of the Internet.

Subject:
Computer Science
Material Type:
Textbook
Provider:
The Saylor Foundation
Provider Set:
Saylor Textbooks
Author:
Olivier Bonaventure
Date Added:
03/06/2012
Lecture 5: Distributed Systems and Cloud Computing - "Distributed Web-based Applications"
Conditional Remix & Share Permitted
CC BY-NC-SA
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Lecture #5 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Web-based Applications". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Designing Computational Biology Workflows with Perl
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CC BY-NC-SA
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0.0 stars

This manual guides the instructor to combine the partial files of the virtual machine image and construct sequencer.ova file. It is accompanied by the partial files of the virtual machine image.

Subject:
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Date Added:
06/04/2019
Lecture 9: Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part One)"
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

Lecture #9 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 10: Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)"
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

Lecture #10 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 7: Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part One)"
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CC BY-NC-SA
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0.0 stars

Lecture #7 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 8: Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part Two)"
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CC BY-NC-SA
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Lecture #8 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 1: Intro to Data Science - "What Data Science Can Tell Us About the World"
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Intro to Data Science - Week #5
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Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Intro to Data Science - Week #9
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CC BY-NC-SA
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Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Intro to Data Science - Week #4
Conditional Remix & Share Permitted
CC BY-NC-SA
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Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Intro to Data Science - Week #11
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
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Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Homework: Intro to Data Science - Week #3
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
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Homework for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
"Designing Computational Biology Workflows with Perl Part 2
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CC BY-NC-SA
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0.0 stars

This material briefly reintroduces the DNA double Helix structure, explains SNP and INDEL mutations in genes and describes FASTA, FASTQ, BAM and VCF file formats. It also explains the index creation, alignment, sorting, marking duplicates and variant calling steps of a simple preprocessing workflow and how to write a Perl script to automate the execution of these steps on a Virtual Machine Image.

Subject:
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Date Added:
06/04/2019
Designing Computational Biology Workflows with Perl Part 2b
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CC BY-NC-SA
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This material introduces the AWS console interface, describes how to create an instance on AWS with the VMI provided and connect to that machine instance using the SSH protocol. Once connected, it requires the students to write a script to automate the tasks to create VCF files from two different sample genomes belonging to E.coli microorganisms by using the FASTA and FASTQ files in the input folder of the virtual machine. The same exercise can be applied if the VMI is installed on a local machine using virtualization software (e.g. Oracle VirtualBox). In this case, the Terminal program of the VMI can be used to do the exercise.

Subject:
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Date Added:
06/04/2019
Lecture 15: Intro to Data Science - "Life in Data"
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Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Exam: Intro to Data Science - "Midterm Exam Review"
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Midterm Exam Review for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Assessment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 13: Intro to Data Science - "Deep Learning"
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CC BY-NC-SA
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Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Exam: Intro to Data Science - "Midterm Exam and Answer Key"
Conditional Remix & Share Permitted
CC BY-NC-SA
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Midterm Exam and Answer Key for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Assessment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 5: Intro to Data Science - "Data Models, Part One"
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CC BY-NC-SA
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Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 9: Intro to Data Science - "Machine Learning, Part One"
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Subject:
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020