Module Details

Module Code: MATH S7Z02
Full Title: Mathematics 2
Valid From:: Semester 1 - 2018/19 ( September 2018 )
Language of Instruction: 
Duration: 1 Semester
Credits:: 5
Module Owner:: Arjan van Rossum
Departments: Unknown
Module Description: This subject builds upon the Mathematics 1 module, further preparing the mathematical ground for other courses on the Science course.
 
Module Learning Outcome
On successful completion of this module the learner will be able to:
# 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).
No recommendations listed
 
Module Indicative Content
Trigonometry
Degree and radian angle measurements and conversions, trigonometric functions and their inverses Solving triangles and trigonometric functions
Logarithmic graphing
Justification of experimental laws Use of log/log and log/linear graph paper
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
Integration
Basic integration. Initial value problems, first order chemical reactions, radioactive decay, population growth and decay, half life. First and second order differential equations
Module Assessment
Assessment Breakdown%
Course Work40.00%
Final Examination60.00%
Module Special Regulation
 

Assessments

Full Time On Campus

Course Work
Assessment Type Class Test % of Total Mark 40
Marks Out Of 0 Pass Mark 0
Timing n/a Learning Outcome  
Duration in minutes 0
Assessment Description
1. Completion of tutorial quiz sheets based on the course content; 2. Two one-hour mid-semester examinations.
No Project
No Practical
Final Examination
Assessment Type Formal Exam % of Total Mark 60
Marks Out Of 0 Pass Mark 0
Timing End-of-Semester Learning Outcome 1,2,3
Duration in minutes 0
Assessment Description
End-of-Semester Final Examination

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
Recommended Book Resources
  • John Bird. (2012), Engineering Mathematics, 6th. Routledge.
  • Croft, A. & Davison, R. (2010), Foundation Mathematics, 5th. Pearson (Prentice Hall).
  • 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
Other Resources