Online Degrees and CLEP and DSST Exam Prep Discussion
New Study.com courses (5/16/19) - Printable Version

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New Study.com courses (5/16/19) - dfrecore - 05-16-2019

Woot woot!  New courses have been approved, including some that people here have been clamoring for!

CHEM 111: Chemistry I w/Lab (4cr)
CHEM 112: Chemistry II

COMPSCI 107: Database Fundamentals
COMPSCI 108: Intro to Networking
COMPSCI 109: Intro to Programming
COMPSCI 110: Intro to Cybersecurity
COMPSCI 113: Programming in Python
COMPSCI 201: Data Structures & Algorithms
COMPSCI 204: Database Programming
COMPSCI 304: Network System Design
COMPSCI 307: Software Engineering
COMPSCI 310: Current Trends in Computer Science & IT (UL)
COMPSCI 331: Cybersecurity Risk Analysis Management (UL)
COMPSCI 332: Cybersecurity Policies and Management (UL)


RE: New Study.com courses (5/16/19) - mysonx3 - 05-16-2019

Whoa, game changer


RE: New Study.com courses (5/16/19) - udi - 05-16-2019

Amazing! Time to unpause my subscription!


RE: New Study.com courses (5/16/19) - MNomadic - 05-16-2019

This is great news indeed.


RE: New Study.com courses (5/16/19) - bjcheung77 - 05-16-2019

dfrecore, (and Study.com of course) Thanks a million for letting us know!
Those highlighted courses such as data structures, intro to programming is what I am missing...
I will do both the Intro to programming at OD.com and Study.com courses for fun and review.


RE: New Study.com courses (5/16/19) - mysonx3 - 05-16-2019

So does this make BACS totally test-friendly?


RE: New Study.com courses (5/16/19) - MNomadic - 05-16-2019

(05-16-2019, 11:34 AM)mysonx3 Wrote: So does this make BACS totally test-friendly?

Seems like it.


RE: New Study.com courses (5/16/19) - bjcheung77 - 05-16-2019

(05-16-2019, 11:34 AM)mysonx3 Wrote: So does this make BACS totally test-friendly?

Haha, that's right! It does too!


RE: New Study.com courses (5/16/19) - bluebooger - 05-16-2019

http://www2.acenet.edu/credit/?fuseaction=browse.getOrganizationDetail&FICE=1008350

================================
Computer Science 201: Data Structures & Algorithms (Computer Science 201)
ACE Course Number: 0217

Learning Outcome: Upon completion of the course, the student will be able to define object-oriented principles of design; design abstract data types; analyze various algorithms using the Big-O notation; explain and develop recursive algorithms; explain how search and sorting algorithms work; explain how stacks, queues and linked lists work; explain how trees, hash tables and graphs work; explain maps, graphs, and text processing; and explain memory management.

Instruction: The methods of instruction include audiovisual materials. The general course topics include basics of Java; object-oriented design fundamentals; core data structures; analyzing algorithms; recursion and recursive algorithms; stacks, queues and lists in Java; list and iterator abstract data types; trees in data structure; priority queues in Java; maps and hash tables in data structures; search trees and types; sorting and selection in Java; text processing; graph data structures; and memory management.

Assessment: The methods of assessment include an application assignment, quizzes, and a final examination with a minimum passing score of 70 percent.

Credit Recommendation: In the lower-division baccalaureate/associate degree category, 3 semester hours in computer information systems, information technology, or computer science (3/19).
================================
Computer Science 109: Introduction to Programming (Computer Science 109)

ACE Course Number: 0214

Learning Outcome: Upon completion of the course, the student will be able to design a program using flowcharts and pseudocode; write a simple program that includes best practices and documentation/comments; write conditional statements and loops; define and create arrays; write statements that display output and gather input; define functions and create functions in a program; explain the tenets of object-oriented programming (OOP) and create classes, objects and methods; and create data structures and abstract data types (ADT).

Instruction: The methods of instruction include audiovisual materials. The general course topics include computer programming basics; built-in data types for programming; conditionals and loops in programming; arrays in programming; input and output in programming; functions and modules in programming; object-oriented programming overview; algorithmic analysis, sorting and searching; stacks and queues for data structures; and tables, maps and graphs in programming.

Assessment: The methods of assessment include quizzes and a final examination with a minimum passing score of 70 percent.

Credit Recommendation: In the lower-division baccalaureate/associate degree category, 3 semester hours in fundamentals of programming, programming I, or introduction to programming (3/19).
================================


RE: New Study.com courses (5/16/19) - jsd - 05-16-2019

Wow, that's great news, these are some interesting courses.

"COMPSCI 310: Current Trends in Computer Science & IT (UL)"

"Current" will no longer be "Current" well before the time their ACE recommendation expires Big Grin