combo-sm logo

Main Page

Table of Contents


 

General Information

Undergraduate Studies

Graduate Studies

Research

Continuing Education & Training Programs

Appendix: Personnel & Enrollment

 

trio guitar2 director
undergrad
 Mathematics

School of Sciences and Engineering

Professors: M. Abd-el-Malek, A. Hadi, N. Moussa, M. Moustafa
Associate Professors: G. DeYoung, S. El-Bialy, M.  Hebert (Chair)

In recent years, teaching and research in nearly every field of study have become increasingly dependent on Mathematics and quantitative thinking. Therefore, Mathematics is many things to many people. It is the language of the natural sciences, it is a tool for analyzing data in the social sciences, it is the theoretical background of computing, it is a medium of communication in industry, and, of course, it is also a fascinating subject studied for its own sake. Mathematics branches into pure and applied. Pure mathematics attempts to find order where others see chaos, to find intrinsic relations and patterns among seemingly disparate types of problems. Applied Mathematics is concerned with problem solving approaches and techniques such as the design and analysis of experiments; statistics and data analysis; mathematical modeling; optimization and operations research. Consequently, mathematics curriculum offers a selection of courses, which while drawing on classical mathematics, enhances the study of physics, chemistry,  biology, engineering, computer science business, economics and other social sciences.

Bachelor of Science

The Bachelor of Science degree in Mathematics will develop a level of skill that will enable the student to apply this knowledge in industry or teaching, as well as prepare the  student for advanced study of mathematics, and other fields.

A total of 130 credits is required for the bachelor's degree in mathematics. Students may be exempted from the MATH 131 requirement by passing a placement examination.

Core Curriculum (40 credits)
The science requirements of the core curriculum electives are satisfied by the collateral requirements of the major.

Concentration Requirements (63 credits)

CSCI

106

Fundamentals of Computer Science, 3 cr.

MATH

112

Statistical Reasoning, 3 cr.

 

131

Calculus and Analytic Geometry I, 3 cr.

 

132

Calculus and Analytic Geometry II, 3 cr.

 

200

Discrete Mathematics, 3 cr.

 

231

Calculus and Analytic Geometry III, 3 cr.

 

232

Calculus and Analytic Geometry IV, 3 cr.

 

233

Differential Equations, 3 cr.

 

302

Advanced Calculus, 3 cr.

 

303

Linear Algebra, 3 cr.

 

304

Numerical Methods, 3 cr.

 

306

Applied Probability I , 3 cr.

 

401

Complex Function Theory, 3 cr.

 

403

Modern Algebra, 3 cr.

 

Additional 21 math credits excluding MATH 100 and MATH 101.

Collateral Requirements (16 credits)

CHEM

105

General Chemistry I, 3 cr.

 

115L

General Chemistry I Lab, 1 cr.

BIOL

104

Unity of Life, 3 cr.

 

114

Unity of Life, Laboratory, 1 cr.

PHYS

111

Classical Mechanics, Sound and Heat, 3 cr.

 

112

Electricity and Magnetism, 3 cr.

 

123-124L

General Physics I and II Lab, 1 cr. each

 


Electives (15 credits)
Courses to be chosen in consultation with the adviser, excluding MATH 100, MATH 101.
ECON 216 and ECON 316 cannot be used to satisfy electives by math majors.

Statistics and Data Analysis Option:
Within the bachelor degree in Mathematics, students may choose the Statistics and Data Analysis Option by taking the following courses:

The 21 credits of concentration electives must include:

MATH

307

Applied Regression Methods, 3 cr.

 

404

Applied Multivariate Analysis, 3 cr.

 

405

Statistical Inference, 3 cr.

 

 


and a minimum of 9 credits selected from the following:

MATH

308

Optimization, 3 cr.

 

310

Operations Research, 3 cr.

 

312

Mathematical Modeling, 3 cr.

 

406

Applied Probability II, 3 cr.

 

409

Selected Topics in Mathematics, 3 cr.

 

410

Guided Studies in Mathematics, 1-3 cr.

 

 

Minor in Mathematics

The minor in Mathematics will acquaint non-mathematics majors with the diversity of the field and enhance the student's ability to formulate and solve problems in other disciplines.

Requirements  (15 credits)
For non-science majors:
MATH 233, MATH 303, and three of the following: MATH 232, 305, 306, 308, 310, 401, 403.

For science majors: Any five 300-level or 400-level Mathematics courses.

Minor in Applied Probability and Statistics

Since Applied Probability and Statistics are essential tools for analyzing data in various fields; a minor in Applied Probability and Statistics will prepare students and enhance their abilities to understand and solve problems in their own major fields. The minor in Applied Probability and Statistics is also designed to meet a demand by industry and governmental agencies for personnel who are able to utilize appropriate statistical and other quantitative methods to solve problems as diverse as quality control and population dynamics and to facilitate wise decision making in the face of uncertainty.

Requirements  (15 credits)
MATH 112, MATH 306 and MATH 307, and two courses from the following: MATH 404, 405, 406.

 

Mathematics Courses (MATH)

 CourseNum CourseTitle

100

Algebra and Trigonometry

101

Basic Mathematics for Social Sciences

112

Statistical Reasoning

120

Scientific Thinking

131

Calculus and Analytic Geometry I

132

Calculus and Analytic Geometry II

200

Discrete Mathematics

231

Calculus and Analytic Geometry III

232

Calculus and Analytic Geometry IV

233

Differential Equations

301

Seminar in Mathematics

302

Advanced Calculus

303

Linear Algebra

304

Numerical Methods

305

Introduction to PDE and Boundary-Value Problems

306

Applied Probability I

307

Applied Regression Methods

308

Optimization

310

Operations Research

312

Mathematical Modeling

362

Formal and Mathematical Logic

401

Complex-Function Theory

402

Real Analysis

403

Modern Algebra

404

Applied Multivariate Analysis

405

Statistical Inference

406

Applied Probability II 

409

Selected Topics in Mathematics

410

Guided Studies in Mathematics

495

Senior Thesis and Seminar

 

 

© 2002-2003, The American University in Cairo