Directories and Search

Course Search

Courses may be offered in one of the following modalities:

Traditional in-person courses (0–29 percent of coursework is delivered online, the majority being offered in person.)
Hybrid/blended courses (30–79 percent of coursework is delivered online.)
Online courses (100 percent of coursework is delivered online, either synchronously on a designated day and time or asynchronously as a deadline-driven course.)
Hyflex (Students will be assigned to attend in-person or live streamed sessions as a reduced-size cohort on a rotating basis; live sessions are also recorded, offering students the option to participate synchronously or view asynchronously as needed.)

If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.

Algorithms And Data Structures Bootcamp (CSC-510)

Semester:	Spring 2024
Number:	0145-510-001
Instructor:	Robert Siegfried
Days:	Friday 1:30 pm - 2:45 pm
Note:	Online, Both synchronous and asynchronous
Location:	Online
Credits:	4
Status:	Tutorial
Course Meets:	March 25 - May 5
Notes:	Prior Programming Experience, Such As Provided By Csc 500 Computer Programming Bootcamp, Is Required. Class Meets Synchronously At 1:30pm On Fridays On 3/29, 4/5, 4/12, 4/19, 4/26 And 5/3
Course Materials:	View Text Books
Description:	After completing this course, students will be able to write, read and debug computer programs. Students will blend programming methods and techniques that are grounded in solid software engineering principles to learn more about object-oriented concepts, design of algorithms, and various data structures like lists, trees, and graphs.
Learning Goals:	Students will be able to:O1: analyze problems and design more complex software solutions to problemsO2: apply object-oriented principles to write software involving several classes that interact togetherO3: explain, use, and analyze lists, dictionaries, stacks, queues, trees, and graphsO4: plan and design algorithms for problems using data structuresO5: analyze the efficiency of algorithms and determine whether there is a more efficient way of solving a problem or class of problems *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

» View Other Sections of this Course

« Back to Search Results

Apply Now
Request Information