Projected CS Course Schedule & Sample Plan

The projected schedule is subject to change at any time due to unplanned changes in instructor availability and/or course demand. If you use this information for schedule and graduation planning, account for this risk by having backup plans and by taking required courses as soon as you can.

Fall Quarter

CS 101
CS 209
CS 210
CS 211
CS 300
CS 331
CS 481
CS 310
CS 460
Additional CS Elective(s)

Winter Quarter

CS 101
CS 209
CS 210
CS 211
CS 300
CS 320
CS 351
CS 360
CS 482
Additional CS Elective(s)
MATH 301

Spring Quarter

CS 101
CS 209
CS 210
CS 211
CS 212
CS 250
MATH 270
CS 310 (sometimes)
CS 401
CS 410
CS 483
CS 495
Additional CS Elective(s)

Summer Quarter

CS 210
CS 211

No upper-division CS courses (300- and 400-level) are offered in summer quarter

Note:

A few CS elective courses are offered each regular quarter (Fall, Winter, Spring), including at least one data science elective. The program typically surveys students to determine which electives to offer, and each course is usually available only once per year.
Calculus (MATH& 151, 152, 153) and Linear Algebra (MATH 208) are offered every quarter, including summer. MATH 301 is only offered in Winter quarter, and MATH 270 is only offered in Spring quarter.

Course Descriptions

Details for additional CS courses can be found on the college catalog or the course catalog section on ctcLink (Class Search > Class Information > Course Catalog).

CS 101: Technology and Computer Science 5 cr.

Introduces concepts of computer science through development of fluency in modern technology, while offering students an opportunity to increase skills in a variety of information systems. Computer lab work includes operation of computers on networks, programming fundamentals, logical reasoning, web searching, multimedia applications, basic spreadsheets, and database manipulation. Prerequisite: MATH 98 with a C or better, or placement into MATH 99 or higher.

CS 209: Introduction to Computer Programming 5 cr.

This course builds the foundation for core concepts in computer programming for students with no prior programming experience. Students learn how to develop programs in a modern programming language with emphasis on computer science fundamentals and problem solving. Students learn current industry standards for testing and debugging different solutions for scientific and technical problems. Prerequisite: MATH 141 (or higher), or placement by assessment in MATH 142 or above, or entry code.

CS 210: Fundamentals of Computer Science I 5 cr.

This course introduces core concepts in computer science, focusing on programming and problem-solving skills. Students learn to design and implement algorithms while exploring object-oriented programming (OOP) principles such as encapsulation, polymorphism, and inheritance. They gain hands-on experience with Java classes, 2-D and multi-dimensional arrays, interfaces, and the Java Collections Framework, including Lists, Sets, Maps, and ArrayList. The course also emphasizes unit testing. Recommended: CS 209 or prior programming experience. See the CS2xx self Placement test on the website: https://www.bellevuecollege.edu/cs/

CS 211: Fundamentals of Computer Science II 5 cr.

This course focuses on advanced concepts in algorithm efficiency, runtime analysis, and data structures. Topics include recursion, exceptions, search and sorting algorithms, stacks, queues, linked lists, trees, priority queues, and hashing. Students will implement efficient solutions using industry-standard APIs, analyze performance using Big-O notation, and develop a deeper understanding of algorithmic design and problem-solving techniques.

CS 212: C++ Data Structures 5 cr.

Completes one year sequence with data structures using C++, including lists, hash tables, stacks, queues, trees, and graphs. Contrasts the implementations of such data structures in different languages, specifically the differences between pointers versus references, templates versus generics, dynamic versus static memory allocation, multiple inheritance, and destructors. Prerequisite: CS 211.

CS 250: Management Information Systems 5 cr.

Provides basic concepts of information technology in modern business. Topics include data warehouses, decision support systems, electronic commerce, systems development, and risk management. Labs introduce intermediate spreadsheet and database applications in a networked environment. Requires experience with computer databases.

CS 300: Data Structures 5 cr.

This course is an introduction to the fundamental concept of data structures. It explains how to organize and store data efficiently using data structures and how to select appropriate data structures. The course further focuses on understanding the fundamental algorithms and analyzing the time and space complexity of these algorithms.

CS 320: Programming Languages 5 cr.

This course is an introduction to the design and implementation of programming languages. The course explores organization and structure of programming languages, run?time behavior and requirements of programs, and programming language specification. The course teaches the programming models underlying different programming paradigms such as functional, logic, scripting and object-oriented languages. Prerequisites: CS 300 with a C or better, and admission to BC CS program, or instructor’s permission.

CS 331: Database Systems 5 cr.

The course covers the fundamental concepts of database systems. It teaches students the internals of database systems including data model, database design, relational model, relational algebra, SQL, indexing, concurrency control, query processing, transaction management and recovery. This course also aims to teach the new directions involving NoSQL persistence models.

CS 360: Operating Systems 5 cr.

This class introduces the design and implementation of modern, process oriented operating systems, as well as systems programming basics. Primary topics include operating system structure, processes, threads, synchronization, memory management, virtual memory, file systems, I/O subsystem and device management. Prerequisite: CS 351 with a C or better and admission to BS CS program, or instructor’s permission.

CS 481: Senior Capstone I 3 cr.

This course focuses on literature review, requirement specification, project management, initial design and prototyping of the three-quarter long computer science project. Students work in teams and are given milestones. The course includes lectures, reading assignments and guest speakers on development process, team working, report writing and emerging trends in computer science. Prerequisites: CS 410 with a C or better and admission to BS CS program, or instructor’s permission.

CS 483: Senior Capstone III 3 cr.

This course is the third in a sequence of three senior level capstone courses. This course focuses on implementation, test and presentation of the project. The course includes lectures, reading assignments and guest speakers on poster design, innovation and entrepreneurship, presentation skills and emerging trends in computer science.

CS 495: Data Science Project Practicum 5 cr.

This course focuses on applying technological methodologies and theories to real-world scenarios within the realm of Data Science. Emphasizing hands-on experience, problem-solving, critical analysis, and the application of industry-standard practices, alongside collaborative teamwork within the context of Data Science applications. Additionally, students have the option to apply for course credit equivalent to an internship, offering practical industry exposure.