MM572: Mathematics for Chemistry

Study Board of Science

Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N300062112, N300062102
Assessment: Second examiner: None, Second examiner: Internal
Grading: Pass/Fail, 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Bachelor

STADS ID (UVA): N300062101
ECTS value: 5

Date of Approval: 12-10-2022


Duration: 1 semester

Version: Archive

Entry requirements

The course cannot be chosen by students, who have passed FF502, FF506, MM536, MM555.

However, this course can only be taken if it:

  1. is a constituent part of your programme 
  2. is a specified recommendation for elective ECTS in your programme
  3. is part of a specified transitional arrangement ('overgangsordning') for a course you have not yet passed

Academic preconditions

Students taking the course are expected to:

  • Have knowledge of mathematics corresponding to the A-level in the Danish high school system.
  • Be able to use the techniques covered in the high school A-level curriculum.

Course introduction

The aim of the course is to introduce the student to the central tools in calculus to be used in the degrees of chemistry, which use will be illustrated in later courses of the study.

These tools will give the student the necessary skills to:

  1. Argue in a logical and rigorous manner.
  2. Understand how chemical  phenomena can be described using mathematics.
  3. Construct mathematical models describing phenomena occurring in the natural sciences.
In relation to the competence profile of the degree it is the explicit focus of the course to:

  • show how scientific knowledge is acquired through the interaction between theory and experiment.
  •  critically evaluate scientific theories and models
  • obtain  insight into data science in a chemical context.
  • apply relevant analysis and solution models

Expected learning outcome

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

  • Argue in a logical and rigorous manner.
  • Understand and work with the mathematical theories introduced in the course.
  • Construct simple mathematical models describing phenomena occurring in the natural sciences.

Content

The following main topics are contained in the course:

  • Basic function theory
  • Limits
  • Complex numbers and polar coordinates
  • Differentiation and integration of functions in one variable
  • Extreme values of functions
  • Differential equations of first and second order
  • Functions in several variables and partial derivatives
  • Simple statistical data analysis

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Spring

Tests

Mandatory assignments

EKA

N300062112

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

2

Exam element b)

Timing

June

Tests

Written exam

EKA

N300062102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Student Identification Card

Language

Normally, the same as teaching language

Duration

2 hours

Examination aids

All common aids are allowed e.g. books, notes, computer programmes which do not use internet etc. 

Internet is not allowed during the exam. However, you may visit the course site in itslearning to fill in the MCQ test. If you wish to use course materials from itslearning, you must download the materials to your computer the day before the exam. During the exam you cannot be sure that all course materials is accessible in itslearning.

ECTS value

3

Indicative number of lessons

58 hours per semester

Teaching Method


  • Intro phase (lectures) - 28 hours
  • Training phase (exercise sessions): 30 hours

During the study phase students are expected to:

  • Work with the new concepts and terms introduced.
  • Increase their understanding of the topics covered during the lectures.
  • Solve relevant exercises.

Teacher responsible

Name E-mail Department
Antonio Rago rago@sdu.dk Computational Science
David Kyed dkyed@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

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.