Computer Science & Information Technology, B.S.

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Total Degree Credits: 120

Concentrations

STEM Core:

All Florida Poly students take these courses

EGN 3416L - Design 1 Credits: 3
EGN 3417L - Design 2 Credits: 3
EGN 4418C - Design 3 Credits: 3
EGN 4941 - Internship Credits: 3
EGS 2035 - Ethics Credits: 1
EGS 3625 - Engineering & Technology Project Management Credits: 3

Total STEM Core Credits: 16

Florida Common Prerequisites:

Students who started as freshmen at Florida Poly (native students) must complete general education requirements and the following courses to enter the degree program as a junior:
CDA 2108 - Introduction to Computer Systems Credits: 3
OR
EEL 3702C - Digital Logic Design Credits: 3
COP 2271C - Introduction to Computation and Programming Credits: 3
COP 3330 - Computer Programming 2 Credits: 3
COP 3710 - Database 1 Credits: 3
MAC 2311 - Analytic Geometry and Calculus 1 Credits: 4
MAC 2312 - Analytic Geometry and Calculus 2 Credits: 4
MAD 2104 - Discrete Mathematics Credits: 3
PHY 2048 - Physics 1 Credits: 3
PHY 2048L - Physics 1 Laboratory Credits: 1
PHY 2049 - Physics 2 Credits: 3
PHY 2049L - Physics 2 Laboratory Credits: 1
STA 2023 - Statistics 1 Credits: 3
Transfer students must meet general education requirements and satisfy the following Florida State Common Prerequisites to enter the degree program as a junior:

COP 2271C

&COP 3330

                or COP X008

                or COP X251

                or COP X258

                or COP X552

& COP 3710

                or CGS X540

                or CGS X542

& CDA 2108

                or CDA X105

                or CDA X201

& MAC 2311

                or MAC X281

& MAC 2312

                or MAC X282

& MAD 2107

& PHY 2048/2048L

                or PHY X048C

                or PHY X043/X048L

                or PHY X053/X053L

& PHY 2049/2049L

                or PHY X049C

                or PHY X044/X049L

                or PHY X054/X054L

& STA 2023

                or EGS X025

                or QMB X100

                or STA X024

                or STA X032

                or STA X037

                or STA X122

General Education

Click here to view the General Education Requirements .

Total General Education Credits: 38

Computer Science and Information Technology Core:

These courses provide a foundation in Computer Science and Advanced Technology. All Computer Science and Advanced Technology students will take these courses.

CAP 4612 - Machine Learning Credits: 3
CDA 2108 - Introduction to Computer Systems Credits: 3
OR
EEL 3702C - Digital Logic Design Credits: 3
CEN 4010 - Software Engineering Credits: 3
CNT 3004 - Introduction to Computer Networks Credits: 3
COP 2271C - Introduction to Computation and Programming Credits: 3
COP 2272C - Computer Programming 1 Credits: 3
COP 3330 - Computer Programming 2 Credits: 3
COP 3530 - Data Structures & Algorithms Credits: 3
COP 3710 - Database 1 Credits: 3
COP 3834 - Web Application Development Credits: 3
COP 4020 - Programming Languages Credits: 3
COP 4520 - Introduction to Parallel and Distributed Computing Credits: 3
COP 4610 - Operating Systems Concepts Credits: 3
EEL 4768C - Computer Architecture and Organization Credits: 3

Total Computer Science Core Credits: 42

Concentration Core:

Information Assurance and Cyber Security:

All Information Assurance and Cyber Security students take these courses.

CEN 4088 - Software Security Testing Credits: 3
CGS 2091 - Legal, Ethical, and Management Issues in Technology Credits: 3
CIS 4203 - Digital Forensics Credits: 3
CIS 4204 - Ethical Hacking Credits: 3
CIS 4362 - Applied Cryptography Credits: 3
CIS 4367 - Computer Security Credits: 3
CIS 4369 - Web Application Security Credits: 3
CNT 4409 - Network Security Credits: 3

Total Concentration Core Credits: 24

Cyber Gaming:

All Cyber Gaming students take these courses.

CAP 4034 - Computer Animation Credits: 3
CAP 4052 - Game Design and Development 1 Credits: 3
CAP 4056 - Game Design and Development 2 Credits: 3
CAP 4410 - Computer Vision Credits: 3
CAP 4630 - Artificial Intelligence Credits: 3
CAP 4730 - Computer Graphics Credits: 3
CEN 4721 - Human Computer Interaction Credits: 3
DIG 2520 - Digital Media Production Credits: 3

Total Concentration Core Credits: 24

Learning Compact

Florida Polytechnic University’s Academic Learning Compact describes what students, who follow the major’s study plan, will know and be able to do. These are listed as core student learning outcomes.

College:	Engineering
Program:	Computer Engineering
Purpose of the Program:	Computer Engineering is a high-quality program focused on education, professional development and research. The program is interdisciplinary and encompasses a range of disciplines including, engineering, science, and mathematics. The program educates students in the fundamental core of Computer Engineering with concentrations in Embedded System Design, Machine Intelligence and Digital Logic Design.
Graduate will know and be able to do:	Prepare students with a strong and competitive foundation in general Computer Engineering. Provide quality learning experience and focused training on the current advances in Embedded System Design, Machine Intelligence and Digital Logic Design. To produce graduates who will pursue life-long learning and professional development.

Core Learning Outcomes:

Student Learning Outcomes:	The Outcomes Involve These Skills:
Upon completion of the Computer Engineering Degree in the College of Engineering, students will possess the:	Content	Critical Thinking	Communication
Demonstrate scientific, engineering and mathematical knowledge to solve and analyze computer engineering problems.	X
Demonstrate proficiency in computer engineering for at least one high level programming language, logic design capabilities, computer system or device design, simulation and related analysis.		X
Recognize the ethical, environmental, legal, private, and social implications pertinent to computer engineering.		X
Demonstrate communication skills by presentations and reports in different aspects of program concentrations including Embedded System Design, Machine Intelligence and Digital Logic Design.			X