KE529: Mathematic methods in Chemistry and Nanoscience

Study Board of Science

Teaching language: Danish or English depending on the teacher
EKA: N530029102, N530029112
Assessment: Second examiner: Internal, Second examiner: None
Grading: 7-point grading scale, Pass/Fail
Offered in: Odense
Offered in: Spring
Level: Bachelor

STADS ID (UVA): N530029101
ECTS value: 5

Date of Approval: 24-10-2018


Duration: 1 semester

Version: Archive

Entry requirements

The course is not available for students of applied mathematics and mathematics.

Academic preconditions

Students taking the course are expected to:

  • Have knowledge of chemistry and mathematics at the level of 1st year
  • Be able to use chemistry and mathematics at the level of 1st year

Course introduction

The purpose of this course is to introduce mathematical notation and
mathematical methods for analysis of chemical problems. Emphasis will be
on practical / computing aspects of the mathematical methods introduced
in the course. The course also provides an introduction to the use of
Maple for the analysis of more mathematically complex chemical problems.

The
course builds on the knowledge acquired in the courses on 1st year in
chemistry and mathematics, and gives an academic basis for studying many
topics as for example quantum chemistry, spectroscopy and physical
chemistry that are part of the degree.

In relation to the
competence profile of the degree it is the explicit focus of the course
to enable the student to analyze problems in chemistry with a
mathematical approach and to perform calculations on typical
mathematical-chemical problems.

Expected learning outcome

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

  1. Describe
    typical mathematical problems in chemistry using mathematics and
    possess an overview of the basic concepts of the mathematical methods
    used in chemistry.
  2. Formulate and reformulate typical mathematical models in chemistry for the description and analysis of chemical problems.
  3. Choose a computational approach and perform basic practical alculations related to mathematical-chemical problems.

Content

The following main topics are contained in the course:

  1. Chemical
    analysis of relevant mathematical func-tions of one or more variables
    and their partial de-rivatives and total differentials.
  2. Integration of chemically relevant functions with applications in particular to thermodynamics and quantum chemistry.
  3. Sequences and series with special focus on the use of application of Taylor series in chemistry.
  4. Introduction to complex functions.
  5. Differential
    equations with applications to chemical problems such as chemical
    reaction kinetics, the harmonic oscillator and particle in a box.
  6. Linear
    algebra (vectors, matrices, solution linear systems of equations,
    determinants, eigenvalues and eigenvectors) and its application in
    chemistry and especially quantum chemistry, spectroscopy and symmetry.

Literature

Erich Steiner: The Chemistry Maths Book, Oxford University Press, 2. Udgave.
See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

June

Prerequisites

Type Prerequisite name Prerequisite course
Prerequisite not found

Tests

Oral exam

EKA

N530029102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Student Identification Card

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

5

Additional information

The exam consists of a presentation of one of the subjects from the subject overview and a presentation of a miniproject.
The examination form for re-examination may be different from the exam form at the regular exam.

Prerequisites for participating in the exam element a)

Timing

Spring

Tests

Assignments (3 sets)

EKA

N530029112

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

0

Additional information

The prerequisite examination is a prerequisite for participation in exam element a)

Indicative number of lessons

56 hours per semester

Teaching Method

  • Work with the material from the book
  • Problem solving
  • Mini project
  • Video presentation of textbook material

Teacher responsible

Name E-mail Department
Jacob Kongsted kongsted@sdu.dk Kemi og Farmaci

Additional teachers

Name E-mail Department City
Kristian Debrabant debrabant@imada.sdu.dk Computational Science

Timetable

Administrative Unit

Fysik, kemi og Farmaci

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period