Program Overview

University of Florida Computer Science Program

The Computer Science program at the University of Florida combines a strong engineering-oriented technical basis with a flexible interdisciplinary component and an emphasis on communication skills. This flexibility is increasingly important as computers become more important tools in an ever-increasing number of disciplines.

About this Program

• College: Herbert Wertheim College of Engineering
• Degree: Bachelor of Science in Computer Science
• Credits for Degree: 120

Department Information

The mission of the Department of Computer & Information Science & Engineering is to educate students, as well as the broader campus community, in the fundamental concepts of the computing discipline; to create and disseminate computing knowledge and technology; and to use expertise in computing to help society solve problems.

Curriculum

The program contains a strong technical component comprising a set of required courses covering essential areas in computing and a set of technical electives enabling students to deepen their knowledge in chosen areas of computer science and engineering. In addition, the program includes a set of interdisciplinary electives in an area of the student's choice from anything the university offers.

Department Requirements

• Students must complete all critical-tracking courses with minimum grades of C in each course and the critical-tracking GPA must be 2.5 minimum.
• A minimum grade of C is required in all other courses that are prerequisites to a required course.
• Students who do not meet these requirements will be placed on academic probation and will be required to prepare a probation contract with a CISE advisor.

Required Courses

• Foundational:
  • ENC 3246: Professional Communication for Engineers
  • or ENC 2256: Writing in the Disciplines
  • MAC 2311: Analytic Geometry and Calculus 1
  • MAC 2312: Analytic Geometry and Calculus 2
  • MAC 2313: Analytic Geometry and Calculus 3
  • MAS 3114: Computational Linear Algebra
  • PHY 2048 & 2048L: Physics with Calculus 1 and Laboratory for PHY 2048
  • PHY 2049 & 2049L: Physics with Calculus 2 and Laboratory for PHY 2049
  • STA 3032: Engineering Statistics
  • Writing or public speaking course, as approved by department
• Computing Core:
  • COP 3502C: Programming Fundamentals 1
  • COP 3503C: Programming Fundamentals 2
  • COP 3530: Data Structures and Algorithm
  • COT 3100: Applications of Discrete Structures
• Major Core:
  • CDA 3101: Introduction to Computer Organization
  • CEN 3031: Introduction to Software Engineering
  • CIS 4301: Information and Database Systems 1
  • CIS 4914: Senior Project
  • or EGN 4952: Integrated Product and Process Design 2
  • CNT 4007: Computer Network Fundamentals
  • COP 4020: Programming Language Concepts
  • COP 4533: Algorithm Abstraction and Design
  • COP 4600: Operating Systems
  • EGS 4034: Engineering Ethics and Professionalism
  • or CGS 3065: Legal and Social Issues in Computing
• Major Electives: 18 credits
  • Select from:
    • CIS 4905: Individual Study in CISE
    • CIS 4930: Special Topics in CISE
    • CIS 4940: Practical Work
    • CISE Technical Electives (14 credits minimum)
    • CIS 4949: Co-Op Work in CISE
    • EGN 4912: Engineering Directed Independent Research
    • EGN 4951: Integrated Product and Process Design 1
    • EIN 3354: Engineering Economy
    • EEL 3701C: Digital Logic and Computer Systems
    • EEL 4744C: Microprocessor Applications
    • Any 4000-level or higher CISE course, beyond the Core Requirements
• Interdisciplinary Electives: 14 credits
  • Select one option:
    • Option A: 14 credits applicable toward formal minor and not counting for other requirements
    • Option B: 14 credits in a concentration area outside of CISE at 3000-level or higher
    • Option C: 14 credits arranged with a department of interest which does not offer a formal minor

Critical Tracking

• Students must complete the appropriate critical-tracking courses, which appear in bold.
• These courses must be completed by the terms as listed above in the Critical Tracking criteria.

Plan of Study Grid

• Semester One:
  • Quest 1 (Gen Ed Humanities)
  • State Core Gen Ed Physical Sciences
  • COP 3502C: Programming Fundamentals 1
  • MAC 2311: Analytic Geometry and Calculus 1
• Semester Two:
  • COP 3503C: Programming Fundamentals 2
  • COT 3100: Applications of Discrete Structures
  • MAC 2312: Analytic Geometry and Calculus 2
  • PHY 2048 & 2048L: Physics with Calculus 1 and Laboratory for PHY 2048
• Summer After Semester Two:
  • ENC 1101 or ENC 1102: Expository and Argumentative Writing
  • State Core Gen Ed Biological or Physical Sciences
  • State Core Gen Ed Humanities
• Semester Three:
  • CDA 3101: Introduction to Computer Organization
  • COP 3530: Data Structures and Algorithm
  • MAC 2313: Analytic Geometry and Calculus 3
  • PHY 2049 & 2049L: Physics with Calculus 2 and Laboratory for PHY 2049
• Semester Four:
  • CEN 3031: Introduction to Software Engineering
  • CIS 4301: Information and Database Systems 1
  • Select one: ENC 3246 or ENC 2256
  • MAS 3114 or MAS 4105: Computational Linear Algebra or Linear Algebra 1
  • Gen Ed Social and Behavioral Sciences with International
• Semester Five:
  • Quest 2 (Gen Ed Social and Behavioral Sciences OR Gen Ed Biological or Physical Sciences)
  • COP 4600: Operating Systems
  • STA 3032: Engineering Statistics
  • Technical elective
• Semester Six:
  • COP 4020: Programming Language Concepts
  • COP 4533: Algorithm Abstraction and Design
  • Interdisciplinary electives
  • Technical elective
• Summer After Semester Six:
  • Quest 3 Experiential Learning - Study Abroad / Internship / Co-op (if desired)
• Semester Seven:
  • CNT 4007: Computer Network Fundamentals
  • EGS 4034 or PHI 3681: Engineering Ethics and Professionalism or Ethics, Data, and Technology
  • Technical electives
  • Interdisciplinary elective
• Semester Eight:
  • Select one: CIS 4914 or EGN 4952
  • Technical electives
  • Interdisciplinary electives

Student Learning Outcomes

• Apply knowledge of mathematics and science to computer science problems.
• Design and conduct computer-science experiments, analyzing, and interpreting the data.
• Design a computer science system, component or process to meet desired needs within realistic economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability constraints.
• Communicate technical data and design information effectively in writing and in speech to other computer scientists and engineers.

Assessment Types

• Assignments
• Exams
• Reports
• Exit survey

Before Graduating

• Pass assessment according to department rubric of student performance on a major design experience.
• Pass assessment in one or more core courses of individual assignments targeted to each SLO.
• Complete requirements for the baccalaureate degree, as determined by faculty.