Mathematics Department,

 Faculty of Science, Mansoura University, Mansoura, Egypt

 

 

Undergraduate Handbook

2006–2007

By Prof H N Agiza

Welcome to the department

 

Introduction

Purpose of this handbook

Department history

Aims of the mathematics department

Vision and mission

Strategic objectives

Organization of  the department

Undergraduate Programmes

Mathematics Programmes

Computing facilities

Research groups

Grants and awards

 

 

1- Welcome

 

 

I would like to extend a very warm welcome to you as a student on a degree programme in mathematics or in computer science & statistics at the faculty of science, Mansoura university. I would like to welcome you all to our department, on behalf of all the staff in the department. We hope that you will be happy here and that you will be successful in your studies.

The mathematics department is located at the third floor in the new building at the faculty of science. You will find us to be a small and friendly department, and you should soon find your way about and get to know us.

in addition to the material contained in this booklet, you can find a lot of additional information, including detailed syllabuses of programmes, starting from http://www.mans.edu.eg and linking to undergraduate courses.

The university education requires a greater degree of independent study than most of you will have experienced before. We struggle to provide high quality teaching, but we cannot possibly be effective without your full participation.

Once again, welcome to our department of mathematics.  I look forward to meeting you when you are admitted to the Department of Mathematics.

                                                                                                Prof. M. K. Aouf

                                                                                              Head of Department

 

 

2- INTRODUCTION

 

Mathematics is the language of modern science, technology, engineering and finance, an art form and a tool of tremendous power. It is a language that is both beautiful and fascinating in its own right. Mathematics is an essential element in a wide range of human activities. Its role in the physical and engineering sciences has been traditional for more than two centuries. In the social and biological sciences it plays an increasingly important role in modeling complicated, large scale phenomena. It is an essential tool for computer science as well as all technology. Applied mathematicians use equations and computer simulations to design computer chips, study global climate change and study genetic engineering

Today more mathematics is being done, and more needs to be done, than ever before. The mathematics needed for 21st century science has not yet been discovered.

The department of mathematics enjoys an outstanding international reputation. The department offers courses at many levels, meeting the diverse needs of faculty of science students. Courses range from those at the freshman level, which are offered in several sequences running at different levels, to advanced courses that prepare students for graduate studies in mathematics as well as being very useful for those intending to follow their studies in mathematics intensive fields such as applied mathematics, statistics, physics and computer science.

 

 

 

3. Purpose of this Handbook

 

This handbook is intended for all students who intend to complete a mathematics degree. This handbook gives all the information needed to most students who wish to obtain a degree in mathematics or computer science & Statistics.

This handbook is designed as a guide and reference for you throughout your Mathematics course at Mansoura university. The handbook defines the syllabus, provides you with information to help you understand the processes and procedures of the mathematics department and about the facilities such as libraries and lab computers to which you have access. You are supplied with the handbook at the beginning of the first Year. The handbook also gives you some information about faculty in relation to the way your Mathematics course works. An electronic PDF version of this handbook is available at department webpage:  http://www.mans.edu.eg/facscim/MathDept/

This handbook should be read in conjunction with the academic information which you can obtain at the faculty of science Mansoura university website http://www.mans.edu.eg/facscim/

Here you can find general information, degree regulations and syllabuses of programmes and examinations in the faculty of science Mansoura university. General information can be accessed at the university website at http://www.mans.edu.eg

 Students can obtain general information about Study and Personal Transferable Skills

 

 

4- Department History

 

أ.د. أحمد فؤاد السيد دويدار

Professor Ahmed F. Dowaidar is the founder of Mathematics Department, faculty of science, Mansoura University, Mansoura Egypt. He started the department from scratch in 1969 and through hard work was able to construct it till it reached more than 50 members. He tried hard to secure the best education possible for the members. Also he has put rules which have helped to keep good relations within the department. His outstanding lectures are a model to be followed. Past, present and future members of the department are grateful for his encouragement and valuable advice. Professors Farouk El_Batnouny, Omar Alfarouk, Hamad Yehia and Mohamed N. Allam during their period of heading the department had worked hard to build one of the most leading department of mathematics in Egypt today in research and teaching mathematics.

Now the present Head Prof. M. K. Aouf continue the same mission of the previous departments heads to make more progress and make the department one of the best place to study and research mathematics in Egypt. The major branches of mathematics are applied mathematics, pure mathematics, computer science and statistics.  Applied mathematics is a powerful language to model and understand the real-world problems, aided by state-of-the-art computer facilities. Indeed, it provides a tool in physics providing foundational models in mechanics, thermodynamics, electricity and magnetism, quantum mechanics, relativity and chaos Theory. Pure Mathematics contributes to research in various parts of Algebra, Analysis, Discrete Mathematics and Logic, focusing on representation theory, non-commutative ring theory and algebraic topology in Algebra and arithmetic combinatorics in Discrete Mathematics.

 

 

5- Aims of the Mathematics Department

The aims of the department of mathematics in the faculty of science, Mansoura university is build upon the mission statement of the University " to advance learning and knowledge by teaching and research in mathematical sciences, Mathematical Statistics and theoretical computer sciences, particularly in science and technology”.

 

6- Vision and Mission

Our vision is that of a department that is recognized nationally and internationally for its excellence in research and teaching.  

Our mission is to produce significant research, to provide high quality undergraduate, graduate and professional programmes of study which attract the best students, and to attend to the mathematical needs of the university and the community.

Our vision and mission derive their strength from a friendly and interesting environment for research and learning.

 

 

 

7- Strategic Objectives

 

The strategy of the department of Mathematics is built on:

§       Provide courses of high quality in teaching to students in Mathematics and computer science & statistics, and to those who need mathematical or numeric skills in other disciplines such as Education, Geology, Chemistry and Biology.

§  Support professional and career-oriented programmes ( Chemistry, Education, Geology and Mathematics Teaching) in addition to our main academic programmes ( Mathematics and Statisics & Computer science).

§    Structure courses in such a way that students are able to apply the knowledge gained to solve real-world problems and communicate results clearly.

§      Continue to find ways of making mathematics more accessible to a wider spectrum of students.

§       support novel learning and teaching resources, including electronic media.

 

 

 

  

8- ORGANISATION OF THE DEPARTMENT

 

Number of acting and Emeritus staff members in mathematics department (2005-2006 )

 

Professors

Acting

8

Emeritus

4

Ass. Professors

Acting

13

Emeritus

2

Lecturer

Acting

26

Emeritus

2

 Total

 

55

Ass. Lecturer

 

9

Demonstrator

 

14

 Total

 

23

 

 

Current Staff in the Department

 

Name

Special  area

Phone

 

Email

xx@mans.edu.eg

أ.د. أحمد فؤاد السيد دويدار

Prof. A. F. Dowidar

Math. Analysis

027048427

0106874212

 

Prof. H. M. Yehia

Theo. Mechanics

2241224

Hyehia

Prof. M. N. Allam

Elasticity, Viscoelasticity

2251523

mallam

Prof. M. K. Aouf

Complex Analysis

2352879

mkaouf127@yahoo.

Prof. E. Ahmed

Mathematical biology, Nonlinear Dynamics

033925632

magdu45@yahoo.com

Prof. El. M. Elabbasy

Differential Equations

2220247

emelabbasy

Prof. A. S. Hegzi

Harmonic Analysis

2211566

Hegazi

Prof. Magdy Elias Fares

Elasticity

2262969

fares@yahoo.com

fares

 Prof. M. E. A. El-mikkawy

Numerical Analysis & Scientific Computing

2520708

0105117366

mikkawy@yahoo.com

 

mikkawy

Prof.  Hamdy N. Agiza

Chaos & Dynamical systems

2267963

0105160714

agizah

 

agizah@yahoo.com

Prof Ali shamandy

Differential Equations

034270071

shamandy16@hotmail.com

Prof Ali Nouh

Topology

2349179

uanouh@hotmail.com

Ass.Prof. Ahmed . F. Mashhour

Statistics

022753138

 

 

Ass.Prof. Magdy. H. Armanious

Algebra

2246116

m.armanious@excite.com

Ass.Prof. S. F. Tadros

Topology

2250388

Tadros50@yahoo.com

Ass.Prof. M. E. El-Shafei

Topology

2357911

mshafei@hotmail.com

Ass.Prof. Samy Ahmed Abd El-Hafeez

Theo. Mechanics

0663405112

shehabuddeen@yahoo.com

Ass.Prof. Hanan El-Saied Awad Darwish

Complex Analysis

2253047

Darwish@yahoo.com

Ass.Prof. Youssif G. Youssif

Theoretical Mechanics

026328548

Y.G.Youssif41@yahoo.com

Ass.Prof. Samia M. Hassan

Theoretical Mechanics

2261932

Szhassan004@hotmail.com

Dr. M. N. Farah

Hidrodynamics

2241732

-

Dr. F. S. Ibrahim

Fluid mechanics

2241732

-

Dr. Zeinab Ahmed Hafiz

Abstract Algebra

2269585

 

Dr. Mirvat . A. El-Sharabasy

Linear Algebra

2222687

 

Dr. Mahasen A. Ibrahim

Calculas of variations

2243201

Mahasen mossa

Dr. Awatif M.  Shahin

Differential geometry

2251523

Amshalin

Dr. Soad A. Abd El-Aziz

Abstract Algebra

2250940

 

Dr.Saleh Saleh Al-Mahdy

Abstract Algebra

2250940

 

Dr. Magdy Y. Barsoom

Differential Equations

2339822

Dr_magdy_Barsoom@yahoo.com

Dr. Mohamed Samir

Functions Analysis

2213349

mskassemm@yahoo.com

Dr.Mohamed Abue El-roos

Differetial geometry

6370044

 

Dr. Mahmoud H.Abd El-Hafeze 

Hydrodynamics

2269774

Salamoonmhamoud @yahoo.com

Dr. Samia E. Abou Awad

Numerical analysis

2269774

shehabuddeen@ yahoo.com

Dr El –Shehat  A. Saleh

Elasticity

2294063

 

Dr. Adeela Othman

Complex Analysis

6693697

 

Dr Mostafa Mehnaa

Abstract algebra

2230134

 

Dr. Mohamed M. El-dessoky

Chaos & Nonlinear Dynamical systems

6441504

0124037306

dessokym@mans.edu.eg

Dr. Abdel fatah Mustafa Mohamed

Statistic and computer science

7860757

amelsayed

Dr. EL Desouky E. Rahmo

Numerical Analysis

7705825

desoukyr

 

Note :Besides the above list of staff another group exits now in arab countries.

 

 

9- UNDERGRADUATE   PROGRAMMES

The Department of Mathematics offers two bachelors of science degrees in mathematics and Computer Science &statistics. Students completing the programmes find employment in research, government, and education. There are many tracks under these degrees program.  The traditional mathematics track prepares students for advanced study in graduate study. For those students interested in government, there is the mathematical and computer sciences track.  Here students are not only trained as mathematicians but also are skilled in an area of application, namely computer science and its application in mathematical software.. The Flowchart of Mathematics and physics  students directions in study in the faculty of science is presented in the following road map

 

Road map of mathematics programmes

 

                 Mathematics BSc                  Computer science &statistics Bsc

 

9.1- Mathematics PROGRAMME SPECIFICATION

This programme provides you with the skills and techniques needed to develop a mathematical, computer science, and statistical knowledge. You will understand how these can be applied to the formulation and solution of problems from scientific, technological, business, and other areas. We also help you to enjoy mathematics and statistics and encourage you to learn more about these subjects for their own sake.

 

 

Programme aims:

On successful completion, the degree programme aims:

1-   To provide high quality education in Mathematics within an environment committed to excellence in both teaching and research.

2-   To provide students with a broad and balanced foundation of knowledge and practical skills in mathematics, statistics and computing;

3-   To offer students a flexible educational framework that enables them to specialize or maintain a broad course of study

4-    To attract well-qualified students and to provide intellectual challenge in a structure containing an appropriate amount of flexibility, so that students can develop their specialist interests.

5-   To teach and provide the opportunities to learn a core of mathematics fundamental to the education of all mathematicians, together with a wide range of higher level options in mathematics and allowing some broadening of study through a range of Management and Humanities options.

6-    To develop in students the ability to apply their mathematical knowledge and skills in problem-solving, project work, computation and presentation to enable them to take prominent roles in a wide spectrum of employment and research.  

7-   To produce graduates capable of pursuing a professional career or of proceeding to further study or research.

8-   To provide the necessary skills and training for further study or research in Mathematics.

Programme learning outcomes

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

 

(A) Knowledge and Understanding

By the end of the programme a successful student is expected to be able to

A1. Demonstrate basic knowledge and understanding of a core of analysis, algebra, applied mathematics and statistics

A2. Demonstrate knowledge and understanding of some advanced topics in computer science, depending on his or her own choice ;

A3. State and prove key theorems from various branches of the mathematics sciences.

A4. Construct and explain the meaning of complicated statements using mathematical notation and language

(B) Intellectual Skills

By the end of the programme a successful student is expected to be able to

B1. Demonstrate  ability to understand and use mathematical argument and deductive reasoning .

B2. Demonstrate knowledge of the importance of mathematical and statistical assumptions and understanding of their use.

B3. Demonstrate proficiency in different methods of mathematical proof;

B4. Apply appropriate mathematical techniques to the development of advanced software solutions.

B5. Use of Mathematics to describe and model in applications, including appropriate solution method, and interpretation of results.

(c) Professional Practical Skills

By the end of the programme a successful student is expected to be able to

C1. Demonstrate competence in the use of mathematical methods and techniques in problem solving and modelling ;
C2. Explore, and where feasible solve, mathematical problems, by selecting appropriate techniques ;
C3. Demonstrate knowledge and understanding of the process of mathematical or statistical modelling;
C4. Demonstrate knowledge and understanding of some processes of mathematical approximation and of sources of numerical errors;
C5. Exhibit developed skills of numeracy, involving use of quantitative concepts and arguments, where appropriate, at all stages of work ;
C6. Use one or more mathematical and statistical computer packages .

C7. Apply numerical methods to the solution of mathematical problems,

    C8. Use symbolic and numerical software as part of practical computation;

(D) Transferable /Key Skills:

By the end of the programme a successful student is expected to be able to

D1. Work effectively as part of a team;

D2. Make efficient use of computers for acquiring, analysing and presenting information;

D3. Think logically and analytically;

D4. Apply analytical methodology to problems in other disciplines;

D5. Assess numerical data critically.

 

 

Structure and Content of the Programme

         In each year of full-time study within the programme students are required to study the corresponding courses in four years through 8 terms. The BSc degree in Mathematics aims to provide a good degree-level mathematical education for those intending to become professional mathematicians. This is achieved by providing core material in the first two years and then in the third and forth years, some giving an overview of a broad area of mathematics and others studying a particular topic in depth. The first year topics include calculus, algebra, dynamics and static. There are other courses like chemistry, physics, computer science,  human rights and  language. After first year succeeded students are able to continue in the direction of Mathematical programmes or to quit to other programmes like Physics or Physics & Chemistry. The second year mathematics is common for the computer science & statistics and mathematics programmes. After second year succeeded students are able to choose either the mathematics programme or the computer science & statistics programme.

The summary of the courses of the 4-year full-time Mathematics programme is presented in the following tables

  

First  Year Mathematics & Physics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Math.(1)A

Differentiation & Integration (A)

3

-

3

100

 

 

First

Math.(3)A

Statics & Dynamics (A)

3

-

3

100

Physics(1)

Optics- Thermal Physic

4

4

-

125

Chemistry

General Chemistry

4

4

-

150

 

English Language

2

-

-

50

Math.(1)B

Differentiation & Integration (B)

3

-

3

100

 

Second

Math.(2)

Algebra

 & Geometry

2

2

-

2

2

100

Math.(3)B

Statics & Dynamics (B)

3

 

3

100

Physics(2)

Electricity & Magnetism+ Properties of Matter

4

4

2

125

 

Computer Science (1)

1

-

2

50

Second Year Mathematics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Math (1) A

Real Analysis (1)

3

-

3

100

 

 

 

 

First

Introduction to Statistics and Probability

2

-

2

50

Math (2) A

Linear Algebra &

 Geometry

4

 

-

4

100

Math (3) A

Static &

Analytics Mechanics

4

-

4

100

 

English Language

2

-

-

50

 

Computer Science (2)

1

 

2

50

Math (1) B

Advanced Calculus & Differential Equation

4

-

3

100

 

 

Second

Math (2)B

Abstract Algebra (1)

4

-

4

100

Math (3) B

Dynamics

4

-

4

100

Physics(2)

Electrostatics

4

4

2

100

 

Third Year Mathematics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Math (1)A

Real Analysis (2)

4

-

1

100

 

 

   First

Math (1)B

Complex Analysis (1)

4

-

1

100

Math (3)A

Topology (1)

3

-

1

100

Math (4)A

Theory of Elasticity (1)

2

2

-

-

1

1

100

Advanced Mechanics  

 

European Language

2

 

-

50

Math (2)A

Numerical Analysis(1)

3

-

2

100

 

 

 

Second

Math (2)B

Probability & Statistics

4

-

2

100

Math (3)B

Abstract Algebra (2)

4

-

2

100

Math (4)B

Electrodynamics&

Special Relativity

2

2

-

1

1

100

 

Computer Science (3)

 

2

 

3

100

 

Fourth Year Mathematics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester  

Math (1)

Functional Analysis &

Optional course (differential Geometry or Topology)

4

 

4

-

1

 

1

100

 

75

 

 

 

 

First

Math (3)B

Linear programming &

Numerical Analysis

2

2

-

-

1

1

125

Math (4)B

Quantum Mechanics

4

-

1

130

 

Essay of research

2

-

 

 

 

European Language

2

 

-

50

Math (2)

Theory of Differential Equation

4

-

1

100

 

 

 

Second

Special function

3

-

1

75

Math (3)A

Mathematical Statistics

4

-

2

125

Math (4)A

Hydrodynamics &

General Relativity

3

3

-

-

1

1

85

85

 

Essay of research

2

 

-

50

 

 

 

9.2 Computer science & statistics Programme Structure

This computer science & statistics programme is designed for devoted mathematicians who also want to become skilled in modern day computing and information systems. You will gain the techniques needed to develop a mathematical and statistical knowledge and will understand how these can be applied to the formulation and solution of problems from computing, business and other areas. The advanced computing courses include databases, operating systems and the construction of windows applications in studio.net programs are included in this programme.

The computer science and statistics programme gives students a foundation in all branches of mathematics, statistics for example algebra, analysis, statistics, geometry, probability and mathematical methods. The computer science element is designed to provide an efficient and well-balanced introduction to the whole practical field, and therefore includes topics in programming and computer systems.

This programme is intended for students who wish to study both Computer Science and Statistics, and is particularly suited for those who wish to study both subjects besides the basics of Mathematics. Mathematics and Computer Science have a long history of feeding off of each other, from the early work of Babbage in the 19th Century, through to turing in the mid 20th Century through to today. In today's world the combined use of mathematical techniques and computation underpins much of today's society. For example in analysing large corporate databases to understand consumer behaviour or in performing credit scoring one needs advanced statistical tools plus advanced computational tools. As another the design of cars, aircraft or the prediction of complex systems such as the weather requires a significant modelling aspect which is now done with computer simulations which encode complex mathematical formulae. Even the realistic presentation of movement in a computer game is made possible by the merging of mathematical models and computer simulation.

The computer science & statistics programme have a common structure during the first and the second year to mathematics programme. In the third and fourth years students study different topic more related to statistics, probability and computer science besides some higher courses in mathematics. This program is flexible educational pathways emphasizing the theoretical, practical, or computational aspects of probability and statistics. The program serves the needs of future statisticians in science, industry, business, and government, as well as provides the necessary background in computer science and stimulation for post graduate study.

Programme aims

The degree programme aims :

1. To provide education in computer science & statistics that includes the fundamental principles of the subject and that allows the student practical experience of the application of these principles;

2.    To supply teaching in the mathematical sciences that is broad-based and, where appropriate, informed by a research base of international standard;

3. To offer teaching in students with a broad and balanced foundation of knowledge and practical skills in mathematics, statistics and computing;

4.  To supply developing in students the ability to apply their mathematical and computing knowledge and skills to the solution of real life problems;

5.  To provide students a flexible educational framework that enables them to specialize or maintain a broad course of study;

6.  To give a sound preparation for further training and research and for a career requiring advanced mathematical or statistical knowledge and understanding;

7.  To give provision for students to develop personal and intellectual skills, enabling them to compete successfully on the employment market;

 Programme learning outcomes

This programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas.

 A. Knowledge and Understanding:

By the end of the programme a successful student is expected to be able to

A1. Demonstrate basic knowledge and understanding of a core of analysis, algebra, applied mathematics, programming, probability and statistics;
A2. Demonstrate knowledge and understanding of some advanced topics, incomputer science and statistics depending on his or her own choice

A3 Construct and explain the meaning of complicated statements using mathematical notation and language;

A4. Demonstrate knowledge and understanding of the principles of statistical modeling and analysis;

A5. Recognize and distinguish between selected canonical forms of computer hardware architecture, and examples of operating system technology, and understand how the hardware and software are integrated to create computer systems

B. intellectual skills

By the end of the programme a successful student is expected to be able to

B1. Analyze and formally specify and solve programming computing systems and mathematical design problems of different types

B2. Construct and solve abstract and mathematical models of computer and communication systems

B3. Demonstrate knowledge of the importance of mathematical and statistical assumptions and awareness of their use

B4. Apply appropriate mathematical techniques to the development of advanced software solutions.

C. Practical skills

By the end of the programme a successful student is expected to be able to
C1. Demonstrate knowledge and understanding of the process of mathematical or statistical modeling;
C2. Design and develop programs of varying levels of complexity using a number of different programming languages ;
C3 Analyze computing and mathematical problems and devise solutions to them;
C4. Demonstrate knowledge and understanding of some processes of mathematical approximation and of sources of numerical errors

C5. Use symbolic and numerical software as a part of practical computation

C6. Use many computing tools and techniques such as database web-based graphics tools and techniques

C6.  Analyze computing and mathematical problems and devise solutions to them.

D- Transferable skills

By the end of the programme a successful student is expected to be able to

D1. Program in the major computing paradigms.

D2. Use the world wide web effectively

D3. work within  and contribute to a team using management skills such as project design and evaluation.

D4. Learn independently with open mindedness and critical enquiry.

D5. Learn effectively for the purpose of continuing professional development.

Details of the program courses are presented for this degree in the following tables

First Year Mathematics & Physics 

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Math.(1)A

Differentiation & Integration (A)

3

-

3

100

 

 

First

Math. (3)A

Statics & Dynamics (A)

3

-

3

100

Physics(1)

Optics- Thermal Physic

4

4

-

125

Chemistry

General Chemistry

4

4

-

150

 

English Language

2

-

-

50

Math.(1)B

Differentiation & Integration (B)

3

-

3

100

 

Second

Math.(2)

Algebra

 & Geometry

2

2

-

2

2

100

Math.(3)B

Statics & Dynamics (B)

3

 

3

100

Physics(2)

Electricity & Magnetism+ Properties of Matter

4

4

2

125

 

Computer Science (1)

1

-

2

50

 

   Second Year Mathematics 

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Math (1) A

Real Analysis (1)

3

-

3

100

 

 

 

 

First

Introduction to Statistics and Probability

2

-

2

50

Math (2) A

Linear Algebra & Geometry

4

-

4

100

Math (3) A

Static &

Analytics Mechanics

4

-

4

100

 

English Language

2

-

-

50

 

Computer Science (2)

1

 

2

50

Math (1) B

Advanced Calculus & Differential Equation

4

-

3

100

 

 

Second

Math (2)B

Abstract Algebra (1)

4

-

4

100

Math (3) B

Dynamics

4

-

4

100

Physics(2)

Electrostatics

4

4

2

100

 

Third Year Computer science & statistics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Stat (2)

Sampling Theory (0p. course)

3

-

1

150

 

 

 

 

 

First

 

 

 

 

 

 

second

 

Statistical lab

-

4

-

Comp (1)

Calculus of variations & Combinatorics (1)

Linear Programming

3

 

3

 

1

 

1

150

Pure(1)

Numerical analysis(1)

3

-

1

150

 

Logic & number theory &

Algebra

3

-

1

 

European language

2

-

-

50

Stat (1)

Theory  of Probability (1)

3

-

1

150

Statistical methods (1)

3

-

1

 

Comp (2)

Introduction to Computer science and languages computer Lab

3

-

 

  4

1

100

Pure (2)

Complex Analysis&

Special Function

3

3

 

1

1

150

 

Fourth Year Computer science & statistics

Course Code

Course Title

Lectures

Hours

Lab

Hours

Exercise

Hours

degree

Semester 

Stat(4)

Statistical  Theory

3

-

1

75

 

 

 

 

First

Stochastic process

3

-

1

75

Comp(3)

Operation Research

3

-

1

75

Computer Language

3

-

1

75

Pure (3)A

Numerical analysis(2)

3

3

-

-

1

1

150

 

Functional Analysis

 

Essay or Research

2

 

 

 

Stat (3)

Probability Theory

3

-

1

75

 

 

Second

 

 

 

 

 

Statistical methods

3

 

1

75

Comp(4)

Advanced Computer Science

3

 

1

75

computer Lab

-

4

-

50

Pure (3) B

Partial Differential Eqs &

 Integral equation

2

2

-

1

1

150

 

European language

2

-

-

   50

 

Essay or Research

2

 

 

50

 

 

 

10 - COMPUTING FACILITIES

All staff are provided with a PC, All computers have Ethernet connection to the departmental Local Area Network, the University Network and the Internet. Staff and postgraduates are offered a wide range of software as well as access to peripherals. Because of increasing demand from staff for sophisticated software for research and mathematics training, a full-time Mathematics Learning and Technology Officer was appointed in 2005. Her remit is to maintain existing hardware and software, and aid the implementation new packages and equipment.

 

Teaching Laboratory

There are almost 100 PCs, running Windows 98 or XP, dedicated to undergraduate mathematics teaching. These computers are distributed in five labs in the department for student use. These PCs are equipped with mathematical and statistical software, including Mathematica, SPSS, Visual Fortran, and Matlab. Networking facilities is available in two labs. Approximately half the computers currently offer multimedia applications and the use of mathematical online courseware is now made for tutorial and diagnostic support. The typesetting languages TeX and LaTeX are available to students, and various graphics packages and programming compilers etc. are accessible from these labs.

Staff and postgraduate facilities

Software on staff machines includes that outlined for teaching machines, as well as specialist software for individual members of staff. TeX, LaTeX and MS Office 2003 are used as the standard mathematical typesetting packages, Maple and Fortran are widely used within the department. The Mathematics Department aims to become largely self sufficient in its computing requirements, e.g. email, Internet web pages, scientific computing.

Internet

The Mathematics Department WWW pages went on line in 2001. These contain detailed up-to-date information regarding staff, undergraduate, postgraduate and research information. Forthcoming conferences and other events are also advertised. In particular, recent publications, pre-prints will be available over the Internet in the near future. The web pages may be browsed on

 http://www.mans.edu.eg/facscim/MathDept/

or through the University Home Pages ( http://www.mans.edu.eg. )

  

 

 

Computer Labs

 

 

Library

          The Mathematics library is housed on the fourth floor in the new building.  Regulations are displayed governing the use of the Library and the borrowing of books and journals. In particular, all books and journals must be returned by the due date, when checks take place. This does not of course mean you are entitled to keep anything borrowed until that time, as the usual restrictions apply.

 

11- RESEARCH GROUPS

The mathematics department in the faculty of science, Mansoura university is considered to be one of the leading department of mathematics in Egypt in research and teaching. Many outstanding papers in different area of pure and applied mathematics are published in the most well known research journals. The department's research covers pure mathematics, applied mathematics, computer science and Statistics. Research in the traditional areas of pure mathematics includes set theory, linear algebra, group theory, combinatorics and complex analysis. Joint appointments with computer Science underpin an emphasis on theoretical computer science. The applied mathematics group has expertise in theoretical mechanics mathematical modeling, dynamical systems, differential equations, numerical analysis and variational methods. The statistics group has research strengths in Bayesian sequential methods and medical statistics. The department of mathematics have awarded many postgraduate students their higher degrees;13 Diploma, 134 Master and 30 PhD in mathematics, computer science and statictics. Mansoura university awards the Master and PhD Degrees in mathematical science in the following main specializations:

a.    Pure Mathematics

b.    Applied Mathematics

c.    Statistics and Computer Science

The major research groups in the Department are:

 

 

  12- GRANTS and AWARDS

 

درجة دكتوراة العلوم    D.Sc.

حصل ا.د/ حمد محمد حلمى يحيى الأستاذ بقسم الرياضيات-جامعة المنصورة على درجة دكتوراة العلوم D.Sc. فى العلوم الرياضية و التطبيقية ( يناير 1986 ) من جامعة موسكو .

 

 

جوائز عبد الحميد شومان ،الدولة،أمين لطفي

الاسم

نوع الجائزة

الجهة المانحة

السنة

 

أ.د حمد محمد حلمي يحيي

1-أمين لطفي

2-الدولة التشجيعية

3-الدولة التشجيعية

أكاديمية البحث العلمي

أكاديمية البحث العلمي

أكاديمية البحث العلمي

1985

1988

2000

ا.د/ محمد كمال عبد السلام عوف

1-الدولة التشجيعية

2-الدولة التشجيعية

3-عبد الحميد شومان

أكاديمية البحث العلمي

أكاديمية البحث العلمي

مؤسسة عبد الحميد شومان بالأردن

1989

1995

1990

ا.د/ السيد محمد السيد أحمد

أمين لطفي

أكاديمية البحث العلمي

1988،1994

ا.د/ أحمد صادق حجازى

الدولة التشجيعية

أكاديمية البحث العلمي

2000

ا.د/ مجدى الياس فارس

الدولة التشجيعية

أكاديمية البحث العلمي

2002

د. يوسف جورج

أمين لطفي

أكاديمية البحث العلمي

2002

د/سمير صقر

عبد الحميد شومان

مؤسسة عبد الحميد شومان بالأردن

2005

 

جوائز الجامعة

الاسم

نوع الجائزة

السنة

أ/د/السيد محمد السيد

جائزة أحسن بحث في العلوم الأساسية

1994

د/السيد لرفاعي

جائزة الجامعة التشجيعية

94/95

د سامية زكى حسن

جائزة أحسن رسالة دكتوراة

1994-1995

د/أحمد سعيد عبد الله

جائزة أحسن رسالة دكتوراة

1997/1998

د/محمد محمد الدسوقي

جائزة أحسن رسالة ماجستير

2002/2003

 

    ICTP Grants:     

1- Associate member   2000-2005          Prof. E. Ahmed

2- Junior Associate      2000-2005          Dr. M .El-Ettreby

3- Associate group       2000-2005

                                                 a)-Prof. A. S Hegazi             Senior Associate and Coordinator

                                                 b)-Prof .H . N Agiza             Senior Associate

                                                 c)- Dr. Samia zaki                Associate

     

 

 

 

    Best wishes and good luck

       Prof H. N. Agiza

   E- mail: agizah@mans.edu.eg