Complex Analysis, 6 credits

Komplex analys, 6 hp

TATA45

Main field of study

Mathematics Applied Mathematics

Course level

First cycle

Course type

Programme course

Examiner

Lars Alexandersson

Director of studies or equivalent

Jesper Thorén

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese 3 (Autumn 2021) 2 1 Swedish Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French 3 (Autumn 2021) 2 1 Swedish Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German 3 (Autumn 2021) 2 1 Swedish Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese 3 (Autumn 2021) 2 1 Swedish Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 3 (Autumn 2021) 2 1 Swedish Linköping C
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering 3 (Autumn 2021) 2 1 Swedish Linköping C
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Chinese 7 (Autumn 2021) 2 1 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, French 7 (Autumn 2021) 2 1 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, German 7 (Autumn 2021) 2 1 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Japanese 7 (Autumn 2021) 2 1 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Spanish 7 (Autumn 2021) 2 1 Swedish Linköping E
6CIII Industrial Engineering and Management, Master of Science in Engineering 7 (Autumn 2021) 2 1 Swedish Linköping E
6KMAT Mathematics, Bachelor's Programme 3 (Autumn 2021) 2 1 Swedish Linköping C
6KFYN Physics and Nanoscience, Bachelor's Programme 5 (Autumn 2021) 2 1 Swedish Linköping C

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level

G2X

Course offered for

  • Master of Science in Applied Physics and Electrical Engineering - International
  • Master of Science in Applied Physics and Electrical Engineering
  • Bachelor's Programme in Mathematics
  • Bachelor's Programme in Physics and Nanoscience
  • Master of Science in Industrial Engineering and Management - International
  • Master of Science in Industrial Engineering and Management

Prerequisites

Linear Algebra and Calculus in ona and several variables or equivalent. Vector calculus is recommended but not necessary.

Intended learning outcomes

The course will give basic proficiency in one-variable complex analysis required for subsequent studies. After completing this course, students should

  • be able to define and explain basic concepts such as analytic function och harmonic function, and discuss connections between these function classes
  • be familiar with the elementary functions and their properties
  • be able to classify different types of singular points and discuss their characteristic properties
  • be able to formulate and use central results in complex analysis such as the Cauchy-Riemann equations, the Cauchy integral theorem and formula and their applications, the maximum principle, Taylor and Laurent expansions of analytic functions, the residue theorem and its applications, the argument principle and how to use it
  • know the fundamental properties of linear fractional transformations and how to use them in conformal mapping.

Course content

Complex numbers. The notion of analytic function. Elementary functions. Complex line integrals. Cauchy's integral theorem and formula. Taylor and Laurent series. Residue calculus. The argument principle. Linear fractional transformations.

Teaching and working methods

Lectures and lessons.

Examination

TEN1Written examination6 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Fourier analysis, Complex analysis second course 

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

Department

Matematiska institutionen

Director of Studies or equivalent

Jesper Thorén

Examiner

Lars Alexandersson

Course website and other links

http://courses.mai.liu.se/Lists/html/index-amne-tm.html

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h

Course literature

Books

Compendia

  • Lars Alexandersson, TATA45 Komplex analys (kompendium)
Code Name Scope Grading scale
TEN1 Written examination 6 credits U, 3, 4, 5

Books

Compendia

Lars Alexandersson, TATA45 Komplex analys (kompendium)

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
X
X
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
TEN1

                            
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
X
TEN1

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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