Module Details
Module Code: |
MATH S7Z02 |
Full Title:
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Mathematics 2
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Valid From:: |
Semester 1 - 2018/19 ( September 2018 ) |
Language of Instruction: | |
Module Owner:: |
Arjan van Rossum
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Module Description: |
This subject builds upon the Mathematics 1 module, further preparing the mathematical ground for other courses on the Science course.
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Module Learning Outcome |
On successful completion of this module the learner will be able to: |
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Module Learning Outcome Description |
MLO1 |
Use trigonometry and graphing skills in a Science environment |
MLO2 |
Apply the principles and techniques of calculus to the solution of practical applications in scientific context |
MLO3 |
Demonstrate an exponential or logarithmic relationship between sets of data in experimential situations |
Pre-requisite learning |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named DkIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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No recommendations listed |
Module Indicative Content |
Trigonometry
Degree and radian angle measurements and conversions, trigonometric functions and their inverses
Solving triangles and trigonometric functions
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Logarithmic graphing
Justification of experimental laws
Use of log/log and log/linear graph paper
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Differentiation
Basic differentiation of functions, product, quotient and chain rules.
Rates of change, slopes, velocity/ acceleration, maximum and minimum points, worded max/min problems, curve sketching
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Integration
Basic integration.
Initial value problems, first order chemical reactions, radioactive decay, population growth and decay, half life.
First and second order differential equations
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Module Assessment
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Assessment Breakdown | % |
Course Work | 40.00% |
Final Examination | 60.00% |
Module Special Regulation |
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AssessmentsFull Time On Campus
DKIT reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time On Campus |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
No Description |
Every Week |
3.00 |
3 |
Tutorial |
Contact |
No Description |
Every Week |
1.00 |
1 |
Independent Study |
Non Contact |
No Description |
Every Week |
5.00 |
5 |
Total Weekly Learner Workload |
9.00 |
Total Weekly Contact Hours |
4.00 |
This module has no Part Time On Campus workload. |
Module Resources
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Recommended Book Resources |
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John Bird. (2012), Engineering Mathematics, 6th. Routledge.
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Croft, A. & Davison, R. (2010), Foundation Mathematics, 5th. Pearson (Prentice Hall).
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Davies, H.G. & Hicks, G.A. (1998), Mathematics for Scientific and Technical Students, Longman. & Technical student.
| This module does not have any article/paper resources |
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Other Resources |
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Website, http://mathworld.wolfram.com/.
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Website, www.khanacademy.org.
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Website, www.science.org.au.
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Link, Library Catalogue,
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Link, Library Catalogue,
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Link, Library Catalogue,
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