ENROLL Course Search

Saved Courses (0)

Computer Science (CS) Courses

For graduation requirements and additional information about this department or program, please see the Academic Catalog.

Your search for courses for 21/SP and CS and course number 201 found 2 courses.

Revise Your Search New Search

Instructional Modes

Course instruction will be delivered in one of four modes:

  • Face-to-Face in-person, classroom-based instruction — (only students physically on campus can enroll)
  • Hybrid combines both required face-to-face and online instruction — (only students physically on campus can enroll)
  • Mixed Mode some students participate online and others participate in-person — (can enroll students both on-campus and remote)
  • Online a web-based course that meets virtually — courses meet either synchronously, meaning the course meets primarily at specifically-scheduled times, or asynchronously, meaning the course may have occasional scheduled meeting times but is primarily offered without real-time, scheduled interaction — assignments are generally due with specific deadlines and exams may be conducted at specific times — (can enroll students both on-campus and remote)

CS 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 22, Waitlist: 0

Online Course

MTWTHF
2:30pm3:40pm2:30pm3:40pm3:10pm4:10pm

Instructional Mode:

Online a web-based course that meets virtually

Synonym: 58585

Sneha Narayan

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem"? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

CS 201.03 Data Structures 6 credits

Open: Size: 34, Registered: 19, Waitlist: 0

Online Course

MTWTHF
11:30am12:40pm11:30am12:40pm11:10am12:10pm

Instructional Mode:

Online a web-based course that meets virtually

Synonym: 59916

Anna N Rafferty

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem"? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub

Instructional Mode
Select one or more instructional modes that your residential situation will allow you to attend.
Class Period
Courses or labs meeting at non-standard times may not appear when searching by class period.
Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests