Calculus in One Variable 2, 6 credits

Envariabelanalys 2, 6 hp

TATA42

Main field of study

Mathematics Applied Mathematics

Course level

First cycle

Course type

Programme course

Examiner

Mats Aigner (I,Ii), Johan Thim (D,IT,U,KB,TB), Ulf Janfalk (M,DPU,EMM), Tomas Sjödin (Y,Yi, MED,Mat,FyN,FRIST)

Director of studies or equivalent

Jesper Thorén

Education components

Preliminary scheduled hours: 70 h
Recommended self-study hours: 90 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CMED Biomedical Engineering, M Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CKEB Chemical Biology, M Sc in Engineering 2 (Spring 2017) 2 2 Swedish Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 2 (Spring 2017) 2 2 Swedish Linköping, Valla C
6CDPU Design and Product Development, M Sc in Engineering 2 (Spring 2017) 2 3 Swedish Linköping, Valla C
6CEMM Energy-Environment-Management M Sc in Engineering 2 (Spring 2017) 2 3 Swedish Linköping, Valla C
6CTBI Engineering Biology, M Sc in Engineering 2 (Spring 2017) 2 2 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CIII Industrial Engineering and Management, M Sc in Engineering 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CITE Information Technology, M Sc in Engineering 2 (Spring 2017) 2 2 Swedish Linköping, Valla C
6KMAT Mathematics, Bachelor´s Programme 2 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CMMM Mechanical Engineering, M Sc in Engineering 2 (Spring 2017) 2 3 Swedish Linköping, Valla C
6KFYN Physics, Bachelor´s Programme 2 (Spring 2017) 1 1 Swedish Linköping, Valla C

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level

G1X

Course offered for

  • Industrial Engineering and Management, M Sc in Engineering
  • Computer Science and Engineering, M Sc in Engineering
  • Design and Product Development, M Sc in Engineering
  • Energy-Environment-Management M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Chemical Biology, M Sc in Engineering
  • Biomedical Engineering, M Sc in Engineering
  • Mechanical Engineering, M Sc in Engineering
  • Engineering Biology, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Physics, Bachelor´s Programme
  • Mathematics, Bachelor´s Programme
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Calculus in one variable

Intended learning outcomes

To give basic proficiency in mathematical concepts, reasoning and relations contained in single-variable calculus. To provide the skills in calculus and problem solving required for subsequent studies. After a completed course, the student should be able to

  • read and interpret mathematical text
  • quote and explain Taylor's formula and the concepts involved in numerical series and convergence of series
  • derive expressions for, and compute, geometrical quantities such as plane area, arc length, and volume and surface area of solids of revolution
  • solve ordinary differential equations (first order linear and separable equations, and higher order linear equations with constant coefficients) and integral equations
  • use Taylor expansions to approximate functions by polynomials, compute limits and rational approximations, and to investigate local properties of functions
  • carry out investigations of convergence of improper integrals, numerical series and power series
  • use power series to calculate sums and to solve differential equations
  • perform routine calculations with confidence
  • carry out inspections of results and partial results, in order to verify that these are correct or reasonable.

Course content

Applications of integrals: plane area, arc length, volume and surface
area of solids of revolution and centre of mass. Taylor's and
Maclaurin's formulae: Maclaurin expansions of the elementary functions,
the Lagrange and Ordo forms of the remainder term, applications,
e.g. error estimates for approximations and computations of limits.
Ordinary differential equations: first order linear and separable
equations, integral equations, higher order linear equations with
constant coefficients. Improper integrals: investigation of convergence,
absolute convergence. Numerical series: investigation of convergence,
absolute convergence, Leibniz criterion.
Power series: radius of convergence, calculation of sums, solving differential equations

Teaching and working methods

Lectures and problem classes.
The IT programme has a different organisation, due to the study programme syllabus.

Examination

TEN1Written examination6 creditsU, 3, 4, 5

Grades

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

Other information

Supplementary courses: Calculus in several variables, Vector analysis, Complex analysis, and Fourier analysis.

Department

Matematiska institutionen

Director of Studies or equivalent

Jesper Thorén

Examiner

Mats Aigner (I,Ii), Johan Thim (D,IT,U,KB,TB), Ulf Janfalk (M,DPU,EMM), Tomas Sjödin (Y,Yi, MED,Mat,FyN,FRIST)

Course website and other links

http://www.mai.liu.se/und/kurser/index-amne-tm.html

Education components

Preliminary scheduled hours: 70 h
Recommended self-study hours: 90 h

Course literature

Additional literature

Books

  • Forsling, G. och Neymark, N., (2011) Matematisk analys, en variabel Liber

Compendia


  • Complementary material and a collection of problems edited by the Department of Mathematics.
Code Name Scope Grading scale
TEN1 Written examination 6 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Additional literature

Books

Forsling, G. och Neymark, N., (2011) Matematisk analys, en variabel Liber

Compendia

Complementary material and a collection of problems edited by the Department of Mathematics.

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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