MM306 : Complex Analysis 2

Department

Department of Mathematics

Academic Program

Bachelor in mathematics

Type

Compulsory

Credits

03

Prerequisite

MM214MM305

Overview

This course introduces the student to the theoretical study of series with complex terms, complex integration, regular convergence, application to power series and residuals calculation. It also deals with isolated points, the sediment theorem, and the integration of Laurent series in its region of convergence by calculating the real improper integral using the sediment theorem

Intended learning outcomes

By the end of the course, the student should be able to: 1- Indicate the type of group in terms of interdependent or non-interdependent, simple-associated or multi-associated 2- Determine the type of path, as it is closed, open, simple, or multiple 3- Explain path integration, its path independence, Cauchy-Jorsah theorem and Cauchy's integral formula 4- Distinguish sequences and series of complex numbers and complex functions 5- Compare power series with Taylor, Maclaurin and Laurent series 6- State the type of isolated anomalous points using the Laurent series 7- Recognize the remainder theorem and use it to find the value of integration 8- Link path types and group types 9- Deduce the independence of the integration on the path

10- Explore the use of Cauchy's theorem to find the value of integration 11- Deduce sequences and series of complex numbers and complex functions 12- Analyze how to find the Taylor and Maclaurin series 13- Explain the Laurentian series relationship in the classification of anomalous points 14- use the residual theorem in finding the value of integration 15- The concept of interconnected or not, simple interconnected, or multiple interconnected groups is used to determine their type 16- Apply the concept of the path to determine its type 17- Apply Cauchy's theorem to find the complex integral values 18- There are sequences and sequences of complex numbers and complex functions 19- There is a Taylor and Maclaurin series

Teaching and learning methods

. 1- Practical and theoretical lectures .

2- Discussion and dialogue .

3- Brain storming .

4- Working papers, case study .

5- Presentations .

6- Videos and e-learning

7. Use of software and computer applications such as (MATLAB, Geogebra, Geometer)

8- Intensifying applications, solving problems, and linking ideas with reality and life situations.

Methods of assessments

1- A written exam (essay + objective) = 25 marks, or its assessment is left to the course instructor

2- Short tests (written or oral), demonstration tasks, tests, exercises, and presentation = 15 marks, or the assessment is left to the course instructor .

3- Written final exam (essay + objective) = 60 marks

Course content:

Week

Scientific Subject

Number of Hours

Lecture

Exercises

discussion

1

Tracks and link

3

1

1

1

2

Linear integral with a complex variable

3

1

1

1

3

path integration

3

1

1

1

4

Path independence and Cauchy's theorem

3

1

1

1

5

First Midterm ( 2 hours)

5-6

Cauchy-Jorsa theory

4

2

1

1

7

Cauchy's integral formula

3

1

1

1

8-9-10

Complex number sequences and series

7

4

2

1

10

Second Midterm ( 2 hours)

11

Power series - Taylor and Maclaurin series

3

1

1

1

12-13

Laurent series

4

2

1

1

13

Zeros and points

2

ü

ü

ü

14

Remainder Math

3

1

1

1

15

Final Exam

Total

42

References

Reference Title

Publisher

Copy

Author

Composite analysis

United New Book

The First

2013

Dr. Ramadan Mohamed Juhayma Dr. Salem Ibrahim Al-Qawi

Arabic language 1 (AR103)
Linear Algebra 1 (MM105)
Planar and Analytical Geometry (MM103)
Quranic Studies 1 (AR101)
computer 1 (CS100)
General Mathematics 1 (MM101)
General English1 (EN100)
Fundamentals of Education (EPSY101)
General Psychology (EPSY 100)
Introduction to Statistics (ST101)
Quranic studies2 (AR102)
Aerospace Engineering (MM114)
General Mathematics 2 (MM102)
Linear Algebra (2) (MM215)
Developmental Psychology (EPSY 203)
General Teaching Methods (EPSY 201)
General English2 (EN101)
Computer 2 (CS101)
Introduction to the science of Probabilities (ST102)
Arabic language 2 (AR104)
Basics Of Curriculums (EPSY 202)
Mathematical Logic (MM317)
Educational Psychology (EPSY 200)
Arabic language 3 (AR105)
Ordinary Differential Equations 1 (MM202)
Static (MM206)
General Mathematics3 (MM211)
Ordinary Differential Equations 2 (MM311)
Vector analysis (MM214)
Mathematical statistics (ST202)
Set Theory (MM213)
Arabic language 4 (AR106)
Research Methods (EPSY301)
Measurements and Evaluation (EPSY 302)
Methods of teaching mathematics (MM208)
Teaching learning Aids (EPSY 303)
Word processing (CS 202)
Psychological Health (EPSY 401)
School mathematics 1 (MM309)
Complex Analysis 1 (MM305)
Real Analysis 1 (MM303)
Dynamics (MM207)
Abstract Algebra 1 (MM302)
Complex Analysis 2 (MM306)
School mathematics2 (MM310)
Real Analysis 2 (MM304)
Abstract Algebra 2 (MM403)
Numerical Analysis (MM308)
measurement theory (MM410E)
Integral equations (MM409E)
Operations Research (MM408E)
History of Mathematics (MM407E)
Functional Analysis (MM406E)
linear programming (MM405E)
Partial Differential Equations (MM401)
Teaching applications (MM400)
Graduation project (MM404)
Teaching Practice (EPSY 402)