B.S. In Computer Science

Jose H

8 months ago

There are two tracks available in the upper division program for B.S. in Computer Science. The Computer Science (CS) track should be followed by the student who intends to continue on to graduate study in computer science. The Software Design and Development (SDD) track may be followed by the student who intends to pursue a software engineering career. This section explains the requirements for the Computer Science track.

Flowchart (Admitted starting from Fall 2023 to present)
Flowchart (Admitted between Spring 2022 and Summer 2023)
Flowchart (Admitted between Fall 2019 and Fall 2021)
Flowchart (Admitted between Fall 2012 and Summer 2019)

Plan of Study

CS Prerequisites

Students should have completed the following courses (or equivalent) prior to starting the BA in Computer Science.

Students should have completed the following courses (or equivalent) prior to starting the B.S. in Computer Science. Only a programming course in Java will be accepted as transfer credit to satisfy COP2210.

COP2210 Computer Programming 1
MAC2311 Calculus 1
MAC2312 Calculus 2

Science Group 1
Choose one of the following courses with lab.

BSC2010 General Biology 1 w/ Lab
CHM1045 General Chemistry 1 w/ Lab
ESC1000 Intro to Earth Sciences 1 w/ Lab
PHY2048 Physics with Calculus 1 w/ Lab

Science Group 2
Choose one of the following courses with lab.

BSC2011 General Biology 2 w/ Lab
CHM1046 General Chemistry 2 w/ Lab
GEO3510 Earth Resources w/ Lab
GLY1010 Physical Geology w/ Lab
GLY3039 Environmental Geology w/ Lab
PHY2049 Physics with Calculus 2 w/ Lab

CS Core Courses

CDA3102 Computer Architecture
CEN4010 Software Engineering 1
CGS1920 Introduction to the Computing Field
CGS3095 Technology in the Global Arena
CIS3950 Capstone 1
CIS4951 Capstone 2
CNT4713 Net Centric Computing
COP3337 Computer Programming 2

COP3530 Data Structures
COP4338 Computer Programming 3
COP4555 Programming Languages
COP4610 Operating Systems Principles
COT3100 Discrete Structures or MAD2104 Discrete Math
ENC3249 Professional and Technical Writing
STA3033 Introduction to Probability and Statistics for CS

CS Elective Courses (7 Courses)

Choose one elective course from each group and four additional remaining electives from any group.

Foundations

CAP4506 Intro to Game Theory
COP4534 Algorithm Techniques
COT3510 Applied Linear Structures
COT3541 Logic for CS
COT4521 Intro to Computational Geometry
COT4601 Fundamentals of Quantum Computing
MAD3301 Graph Theory
MAD3401 Numerical Analysis
MAD3512 Theory of Algorithms
MAD4203 Combinatorics
MHF4302 Math Logic

Systems

CAP4453 Robot Vision
CDA4625 Intro to Mobile Robotics
CEN4083 Cloud Computing
CIS4731 Fundamental Blockchain Technologies
CIS4203 Digital Forensics
COP4520 Intro to Parallel Computing
COP4604 Advanced UNIX Programming
COP4710 Database Management
COP4751 Advanced Database Management
CTS4408 Database Administration
COT4431 Applied Parallel Computing

Applications

CAP4052 Game Design & Development
CAP4104 Human Computer Interaction
CAP4612 Intro to Machine Learning
CAP4630 Artificial Intelligence
CAP4641 Natural Language Processing
CAP4710 Computer Graphics
CAP4770 Intro to Data Mining
CAP4830 Modeling & Simulations
CEN4021 Software Engineering 2
CEN4072 Software Testing
COP4226 Advanced Windows Programming
COP4655 Mobile App Development