MM536: Calculus for mathematics

Study Board of Science

Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N300059122, N300059102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Bachelor

STADS ID (UVA): N300059101
ECTS value: 10

Date of Approval: 08-04-2022


Duration: 1 semester

Version: Archive

Comment

The course is co-read with MM558 from week 43.

Entry requirements

The course cannot be chosen by students, who have passed MM558 or FF502.

Academic preconditions

Knowledge and skills corresponding to A-level in mathematics from the Danish ‘gymnasium’.

Course introduction

The course will train the students in fundamental concepts and methods within mathematical analysis, including mathematical symbolic language and logical arguments.
The course gives an academic basis for studying the topics of mathematical and numerical analysis (MM533, MM548, MM549), the theory of ordinary and partial differential equations (MM547, MM546), statistics (ST521, ST522) that are part of the degrees of mathematics and applied mathematics.

In relation to the competence profile of the degree it is the explicit focus of the course to:
  • Give skills to use the appropriate mathematical reasoning and technical terms; analyze and evaluate the theoretical and practical problems for the application of a suitable mathematical model; communicate using a proper mathematical language in writing and orally
  • Give knowledge and understanding of basic concepts, theory and methods of mathematics; to conduct analyses using mathematical methods and critically evaluate scientific theories and models.

Expected learning outcome

The learning objectives of the course are that the student demonstrates the ability to:

  • Apply methods and results from calculus to analyze and explain concrete mathematical problems presented during the course.
  • Formulate and, using a mathematical symbolic language, carry out arguments relating to mathematical problems within the syllabus of the course.
  • Solve mathematical problems within the syllabus of the course.

Content

The following main topics are contained in the course:

  • The concept of a function.
  • Real and complex numbers.
  • Differentiation and integration of functions of one and several variables.
  • Basic concepts of differential equations.
  • Basic concepts of vector calculus.

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn

Tests

Mandatory assignment

EKA

N300059122

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

5

Exam element b)

Timing

January

Tests

Written examination

EKA

N300059102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Duration

3 hours

Examination aids

Allowed, a closer description of the exam rules will be posted in itslearning.

ECTS value

5

Indicative number of lessons

86 hours per semester

Teaching Method

The teaching method is based on three phase model.

  • Intro phase (lectures) 56 hours
  • Skills training phase: 30 hours, including tutorials: 30
  • Study phase. 30 hours

Activities during the study phase:

  • preparation of exercises in study groups
  • critical discussion of the concepts presented during the lectures.

Teacher responsible

Name E-mail Department
Jens Kaad kaad@imada.sdu.dk Analyse

Additional teachers

Name E-mail Department City
Jens Kaad kaad@imada.sdu.dk Analyse

Timetable

Administrative Unit

Institut for Matematik og Datalogi (matematik)

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

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No longer applicable (31 August 2020): BSc minor in Mathematics for major in Computer Science - Registration 1 September 2018 and 2019 | Odense 5 E22
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Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.