Undergraduate Course: Engineering Mathematics 1b (MATH08075)
Course Outline
School  School of Mathematics 
College  College of Science and Engineering 
Credit level (Normal year taken)  SCQF Level 8 (Year 1 Undergraduate) 
Availability  Not available to visiting students 
SCQF Credits  20 
ECTS Credits  10 
Summary  The course is a first university level course in calculus for Engineering students and follows on naturally from MATH08074 Engineering Mathematics 1a.
This course is restricted to students for whom it is a compulsory part of their degree programme. 
Course description 
This course will cover topics in a first course on calculus for Engineering students and includes the following syllabus:
Sequences and series, limits, power series, radius of convergence.
Basic differentiation: rate of change, simple derivatives, rules of differentiation, maxima/minima.
Derivatives of powers, polynomials, rational functions, circular functions. Chain rule. Differentiation
of exponential and related functions, differentiation of inverse functions.
Parametric and implicit differentiation, higher derivatives.
Partial differentiation, directional derivatives, chain rule, total derivative, exact differentials.
L'Hopital's rule. Taylor's Theorem and related results. Maclaurin series.
Basic integration: antiderivatives, definite and indefinite integrals, methods of substitution and
integration by parts.
Fundamental Theorem of Calculus.
Area, arclength, volume, mean values, rms values and other applications of integration.
Improper integrals.
Differential equations. General and particular solutions, boundary values.
Separable differential equations. First order linear differential equations with constant coefficients.
Basic mathematical skills will be developed using online quizzes and end of week eassessments.
Mathematical writing skills will be developed in five written assessments.
Accreditation of Higher Education Programmes Learning Outcomes
Engineering: SM2m.

Course Delivery Information

Academic year 2020/21, Not available to visiting students (SS1)

Quota: 475 
Course Start 
Semester 2 
Timetable 
Timetable 
Learning and Teaching activities (Further Info) 
Total Hours:
200
(
Lecture Hours 33,
Seminar/Tutorial Hours 11,
Supervised Practical/Workshop/Studio Hours 9,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
140 )

Assessment (Further Info) 
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %

Additional Information (Assessment) 
Computer aided assessment: 25%. Written Mathematics assignments: 25%. Examination: 50%.
Students repeating the course will be assessed as 100% exam only.
Students must pass exam and course overall. 
Feedback 
STACK questions (including practice) give feedback on submission. Written work will have written comments on return and solutions addressing common errors. Further feedback in workshop and peer discussions. 
Exam Information 
Exam Diet 
Paper Name 
Hours & Minutes 

Main Exam Diet S2 (April/May)   3:00   Resit Exam Diet (August)   3:00  
Learning Outcomes
On completion of this course, the student will be able to:
 Solve a variety of problems involving limits of sequences, series and functions.
 Compute derivatives, partial derivatives, higher derivatives and integrals of a variety of functions and use calculus to compute extrema and arc length of functions, areas and volumes of surfaces of revolution, mean values and Taylor approximations of functions.
 Use Matlab to solve Engineering problems involving the mathematics covered in the course.
 Solve separable first and second order ordinary differential equations with boundary or initial conditions and simple inhomogeneous terms.
 Present clear written solutions to problems involving one of more areas of the syllabus.

Reading List
Students will require a copy of the course textbook. This is currently "Engineering Mathematics" by Glyn James ISBN:9781784499846. This special edition is available only from Blackwell's bookshop at South Bridge, Edinburgh. 
Additional Information
Graduate Attributes and Skills 
Students will gain key skills in calculus appropriate to degrees in Engineering. 
Special Arrangements 
Only available to students for whom it is a compulsory part of their curriculum. 
Keywords  EM1b,Sequences,series,power series,differentiation,integration,differential equations 
Contacts
Course organiser  Dr David Quinn
Tel:
Email: D.Quinn@ed.ac.uk 
Course secretary  Mrs Frances Reid
Tel: (0131 6)50 4883
Email: f.c.reid@ed.ac.uk 

