Multivariable Calculus and Differential Equations, 4 credits

Flervariabelanalys och differentialekvationer, 4 hp

TATA90

The course is disused.

Main field of study

Mathematics Applied Mathematics

Course level

First cycle

Course type

Programme course

Examiner

Jesper Thorén

Director of studies or equivalent

Jesper Thorén

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 71 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CMJU Computer Science and Software Engineering, M Sc in Engineering 4 (Spring 2017) 2 4 Swedish Linköping C

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level

G1X

Course offered for

  • Computer Science and Software Engineering, 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 1, Linear Algebra

Intended learning outcomes

Gain familiarity with mathematical concepts, reasoning and relationships in multivariable calculus and linear differential equations in one variable, and gain the calculation and problem solving skills needed for further studies. After completing this course you should be able to

  • cite and explain the definitions of the course's key concepts, such as topological fundamental concepts, functions, limits, continuity, partial derivatives, multiple integrals, functional determinants etc..
  • handle differential equations (first order linear, separable and higher order linear equations with constant coefficients).
  • quote, explain and use the course central theorems, such as the chain rule, change of variables in multiple integrals, the relationship between gradients and directional derivatives, theorems concerning multiple integral properties etc..
  • solving some partial differential equations using the chain rule.
  • verify that results are correct or reasonable.
  • calculate the directional derivatives and tangent-, normal- and tangent plane equations and explain and use the concepts geometrical significance in problem solving.
  • compute multiple integrals using repeated integration, change of variables (e.g. polar, spherical and linear).

Course content

The space R ^ n. Basic topological concepts. Functions from R ^ n to R ^ p. Function surfaces, level surfaces and level curves. Limits. Partial derivatives. The chain rule. Gradient, normal, tangent and tangent plane. Directional derivative. Multiple integrals. Repeated integration. Variable Substitution. Functional determinants. Ordinary Differential Equations. First order linear and separable equations. Linear equations of higher order with constant coefficients.

Teaching and working methods

The course consists of lectures and classes.

Examination

TEN1Written examination4 creditsU, 3, 4, 5

Grades

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

Department

Matematiska institutionen

Director of Studies or equivalent

Jesper Thorén

Examiner

Jesper Thorén

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 71 h
Code Name Scope Grading scale
TEN1 Written examination 4 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. 

There is no course literature available for this course in studieinfo.

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)

                            
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

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications

                            
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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