WHAT PATHS?

PATHWAYS

Math, Computers, & Data

Students that pursue a pathway in Math & Computers seek to understand computation; this includes analyzing algorithms and proving properties such as correctness and complexity, and requires an understanding of appropriate mathematical tools. Upon learning how to create original computational structures, students develop an understanding of fundamental techniques in algorithm and data structure design.

AT A GLANCE  

IS THIS YOU?

  • ​I would like to explore and create with new technology.

  • I want to understand how the universe works.

  • I like to solve problems using math or science.

  • I appreciate advanced technology and engineering.

  • I enjoy developing theories or hypothesis.

  • I like to study, conduct research, or work in a lab.

  • I like complicated problems and intellectual challenges.

  • I am innovative and creative.

DESIGNING 
Algorithms
MODELING & PROCESSING Data
WRITING 
COMPUTER Programs

Explore the Different Possibilities

Check out the specific concentrations within this interest cluster, with information regarding specific careers, as well as potential majors to pursue in college!

CONCENTRATION IN
Artificial Intelligence/Algorithms

Programs in Artificial Intelligence focus on how complex inputs — such as vision, language and huge databases — can be used to make decisions or enhance human capabilities. The curriculum includes coursework in computer science, math, statistics, computational modeling, machine learning and symbolic computation.

Potential Majors

CONCENTRATION IN
Computational Media

Students combine their creativity with computer science principles to carve a distinct path in which they are uniquely positioned to create and engage with digital media for entertainment, music, education and business.

Potential Majors

CONCENTRATION IN
Mathematics

Students pursuing a mathematics major will study important connections with other disciplines that may inspire interesting and useful mathematics, and where innovative mathematical reasoning may lead to new insights and applications. Our applied math group focuses on biology, combinatorics, computer science, scientific computing, numerical analysis, and areas of physical applied mathematics.

Potential Majors

CONCENTRATION IN
Web/Mobile App Development

For the student that immerses themselves in various program languages in order to develop usable applications.

Potential Majors

CONCENTRATION IN
Data Processing and Technology

For the student who seeks to use of computers to perform defined operations on data. Potential careers include: Data Entry/ Microcomputer Applications, Data Modeling/Warehousing

Potential Majors

CONCENTRATION IN
Computer Engineer

For the student that seeks a dynamic and entrepreneurial working environment in order to have a revolutionary impact on the economy and society. Potential careers include: Network Systems, Information Support and Service, Web and Digital Communications, Programming and Software Development, Computer Science, Computer Systems Analysis

Potential Majors

CONCENTRATION IN
Game + Interactive Tech Design

Students interested in exploring and expanding how people engage with computers and other immersive media technologies. Potential careers include: Video Game Design, Augmented Reality, Virtual Reality, Artificial Intelligence

Potential Majors

 
 

ROADMAPS

 

Connect with Alumni or a Senior Mentor

Check out how our alumni students and current seniors are pursuing this pathway! Learn about what it takes. To learn more about an alumni's journey, check out their roadmap.

Arjun Sridhar
Class of 2015
PHD in Machine Learning at Duke University
Electrical Engineering & Computer Science, UC Berkeley
Dominique Vaca
Class of 2017
Undergraduate student
Mathematical Sciences, UC Santa Barbara
Hayden Matheus
Class of 2015
Webmaster for CSULB Esports Association
Computer Science, CSU Long Beach
Scout Heid
Class of 2013
Product Design Engineer at Amazon
Mechanical Engineering, UC Berkeley, minor in EECS & Experimental Controls
Eugene Mesina
Class of 2015
Boston Scientific Engineer
Computer Science, CSU Long Beach
Matthew Ruiz
Class of 2013
Content Designer for Cryptic Studios
Computer Game Science, UC Irvine
Harry Sachdeva
Class of 2018
Undergraduate student
Computer Science, UC Irvine
Carter Cote
Class of 2020
Undergraduate student
Computer Science & Industrial Design, Georgia Tech
Vanessa Ulloa
Class of 2008
Software engineer at Boston Scientific
Masters in Computer Science, Arizona State University
Peter Park
Class of 2018
Undergraduate student
Applied and Computational Mathematics and Education, USC
Carmelle Millar
Class of 2015
Engineer at Squarespace
Computer Science, Stanford University
Janny Zhang
Class of 2015
Software Engineer at Google
Electrical Engineering & Computer Science (EECS), + Certificate in Design Innovation, UC Berkeley

COURSEWORK

 

Choosing the Right Courses

Provided here are the COC classes that are recommended for your pathway. You are not required to take all them, so you should talk to your counselor to clarify which classes are right for you. Explore the different possibilities below!

CAWT 140

Survey of Microsoft Office Programs

Examines operating systems, Microsoft Office, word processing, spreadsheet analysis, database management, presentation software, and the application of information technologies to organizational settings.

Professors/Instructors

COMS 105

Fundamentals of Public Speaking

Examines the principles and practices of public speaking, communication theory, and techniques for public speaking. Includes speech organization, development, research, audience analysis, reasoning, and presentation skills for the development of informative and persuasive speeches.

Professors/Instructors

PHYSICS 222

Physics: Wave Motion, Heat, & Optics

Prerequisite: PHYSIC-220 and credit for or concurrent enrollment in MATH-212. Introduces modern physics, including heat, thermodynamics and kinetic theory, wave motion and sound, geometric and physical optics. UC credit limitation: PHYSICS 110-111 and 220-221-222 combined, maximum credit one series.

Professors/Instructors

PHYSICS 221

Physics: Electricity & Magnetism

Prerequisite: PHYSIC-220 and credit for or concurrent enrollment in MATH-212.
Introduces electric and magnetic fields, circuit theory and electromagnetic induction

Professors/Instructors

PHYSICS 220

Mechanics of Solids & Fluids

Prerequisite: MATH-211. Presents a calculus-based introductory study of particle and rigid body statics and dynamics, vibrational motion, and fluid mechanics.

Professors/Instructors

PHYSICS 110

General Physics I

Presents a non-calculus-based introductory study of Newtonian mechanics, the conservation of energy, momentum, and angular momentum, including topics in vibrational motion, waves, and fluid mechanics. Designed for students majoring in the life sciences or any other major requiring a non-calculus based physics course.

Professors/Instructors

CMPSCI 282

Advanced Data Structures

Explores the foundations of database design with in-depth coverage of data structures using the Java programming language including effective storage of data in disk-based files.

Professors/Instructors

Hubbard, M.

CMPSCI 256

Discrete Structures

Introduces discrete structures used in Computer Science emphasizing their applications. Topics include functions, relations and sets, basic logic, proof techniques, basics of counting, graphs and trees and discrete probability.

Professors/Instructors

Hubbard, M.

CMPSCI 236

C++ Obj. Oriented Programming

Introduces Object Oriented Programming (OOP) using the language C++. Topics covered will be C++ classes/ objects, input/output streams, overloading, inheritance, templates and exception handling.

Professors/Instructors

CMPSCI 235

C Programming

Introduces C Programming including data types, operators and expressions, control flow logic, program structure, arrays functions and file I/O.

Professors/Instructors

Barker, T.

CMPSCI 222

Computer Organization

Introduces advanced computer architecture.

Professors/Instructors

CMPSCI 182

Data Structures and Program Design

Presents object-oriented view of data structures: stacks, queues, trees, lists, hash tables and analysis of performance of algorithms for data structures. This course is a second semester (intermediate) Java programming language course.

Professors/Instructors

 
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Four-Year Ed Plans

Provided here are ed plans for you to take AOC & COC coursework for specific concentrations within this pathway. 

Keep in mind that these ed-plans are subject to change based on your individual needs and preferences.

AA Degrees

Many of the ed-plans above do not result in earning an Associate Degree. However, completing one of the ed-plans above will still allow you to complete your IGETC and to transfer several General Ed college credits.

 
GENERAL ADVICE FOR THIS PATHWAY

Computer Science is VERY competitive. If you take any SAT Subject Tests, it’s important to take and get a high 700 on the SAT Math II Subject Test (preferably 800) to demonstrate you’re strong in Math beyond what’s covered on the SAT or ACT. Getting a perfect or high score on SAT II Physics or any other science Subject Test isn’t required, but it also will help your application.

 

Try to take as many COC CMPSCI courses as possible to see if you really want to pursue this career. These classes test your ability with lab components where you have to code programs on your own.

There are many online resources you can use to help you to learn to code by yourself. Codecademy.com is a popular option. This website teaches you basic coding languages for free.

You can start now! Learn by doing. Books, videos, and classics only teach you theory. If you have an idea, execute it.

App development is encouraged. Smartphones are the future of technology so it’s best to get a head start now. Most android apps are coded through Android Studio and IOS apps are coded with Xcode. Mobile games are often coded through Unity. Many of these programs have useful youtube tutorials online, so watch them and try them out. 

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