Mathematics, Computational and Engineering Mathematics (CEMA) Concentration, B.S.

Curriculum Requirements

The CEMA concentrations are especially suited for the student who is very interested in computing and engineering but does not want to specialize too early into any one of those directions.  It offers students an opportunity to study pure and applied mathematics as essential components of modern engineering. The course and laboratory development in the project would infuse engineering principles and design in the curriculum with special emphasis on problem solving and developing communication and team working skills. With a requirement of a capstone design project, the engineering skills of the students will be enhanced and strengthened. It is expected that the CEMA concentrations will provide a wider range of career options for the students.

1. 120 Semester Hours:

Complete a minimum of 120 semester hours with a cumulative grade point average of 2.0 or higher.

2. General Education Requirement:

Complete the General Education Curriculum  (GEC) required by the university as detailed on the four-year plan of study.

3. Program Requirements:

4. Concentration Requirements (must have a ‘C’ or better):

• CEMA core courses:

   

• CEMA 1500 - Discovering Mathematics (1)
• COMP 1525 - Object-Oriented Programming (3)
• COMP 2810 - Data Structures (3)
• COMP 3810 - Design and Analysis of Algorithms (3)
• CEMA 3025 - Partial Differential Equations of Applied Mathematics (3)
• CEMA 3425 - Linear Algebra with Applications to Engineering (3)

•  

• Specialization Requirements:

  Specialize in one of the following CEMA themes:

•  

• a.  Computational Science:

• COMP 4850 - Introduction to Operating Systems (3)
• CEMA 4630 - Introduction to Distributed and Data Intensive Computing (3)
• CEMA 4640 - Introduction to Scientific Computing (3)
• CEMA 4750 - Data Visualization (3)

• and 3-4 approved elective courses.

•  

• b.  Software Engineering:

• COMP 2615 - Introduction Computer Organization and Architecture (3)
• COMP 4405 - Software Engineering (3)

• COMP 4850 Introduction to Operating Systems ( 3 )  

  and 4-5 approved elective courses.

•  

• c.  Data Science:

• COMP 3300 - Introduction to Database Systems (3)
• CEMA 2500 - Programming Tools for Statistical Computing (3)
• CEMA 4300 - Introduction to Data Mining (3)
• CEMA 4340 - Statistical Inference (3)
• CEMA 4350 - Regression Modeling (3)
• CEMA 4760 - Introduction to Machine Learning (3)

• and 1-2 approved elective courses.

•  

• Capstone Design Project Requirement:

• CEMA 4920 - Capstone Design Project (3)

5. Additional Requirements

Program Notes:

Four- Year Curriculum Plan