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The document outlines the course MT171: One Variable Calculus and Differential Equations for non-majors, detailing the topics covered including integration techniques, differential equations, sequences, numerical methods, infinite series, and Fourier series. It specifies the course delivery format, assessment structure, and required textbooks. The course consists of 45 hours of lectures and 15 hours of tutorials, with a mix of online and offline teaching methods.

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0% found this document useful (0 votes)
11 views2 pages

Outline

The document outlines the course MT171: One Variable Calculus and Differential Equations for non-majors, detailing the topics covered including integration techniques, differential equations, sequences, numerical methods, infinite series, and Fourier series. It specifies the course delivery format, assessment structure, and required textbooks. The course consists of 45 hours of lectures and 15 hours of tutorials, with a mix of online and offline teaching methods.

Uploaded by

brianmariki2009
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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MT171: One Variable Calculus and Differential Equations

for non-majors – 2021/2022

Course Outline

1. Review of Techniques of Integration (6 hours)

ˆ The indefinite and definite integrals


ˆ Integration theorems (without proofs), integration by parts
ˆ Integration of powers of trigonometric functions
ˆ Integration by substitution, by partial fractions.
ˆ Evaluation of improper integrals
ˆ Applications.

2. Differential Equations (12 hours)

ˆ Meaning of solution, first order differential equations


ˆ Graphical solution, separation of variables
ˆ Homogeneous and reducible to homogeneous differential equations
ˆ Exact and reducible to exact differential equations
ˆ Linear initial value problems
ˆ Second order differential equations with constant coefficients
ˆ Second order differential equations with variable coefficients (e.g. Bessel, Leg-
endre Differential Equations).

3. Sequences (3 hours)

ˆ Sequences, convergence, sum, product and quotients

4. Numerical Methods (9 hours)

ˆ Zeros of a function; secant, Regula Falsi, Newton-Raphson methods


ˆ Iteration finite differences; numerical differentiation and integration
ˆ Numerical methods for ordinary differential equations; the Euler method, the
modified Euler method, the Runge-Kutta method (without derivation)
ˆ The trapezoidal rule with derivation, the Simpson rule (without derivation);
ˆ Computer applications

5. Infinite Series (6 hours)

ˆ Infinite series; convergence, tests for convergence


ˆ Power series; convergence, differentiation and integration of power series
ˆ Taylor series, Maclaurin series
ˆ Approximation of function, Cherbyshev polynomials
ˆ Applications.

1
6. Fourier Series (9 hours)

ˆ Periodic function, odd and even functions


ˆ Fourier series, Half range Fourier sine and cosine series
ˆ Analytic and numerical methods for finding Fourier coefficients
ˆ Application to science and engineering.

Delivery: 45 hours of lectures and 15 hours of tutorials (online or offline, depends on


your group).
Offline groups: tutorial is a session where by a tutor meets with the students to
discuss difficult tasks or special techniques in solving the tasks, and therefore a student
is supposed to solve all the tasks before the tutorial session. A student can also be asked
to present his/her solution.
Online groups: Students with have weekly tutorials as well as 10 Quizzes, where
solutions will be submitted through learning management system lms.udsm.ac.tz.

The teaching schedule is:

Day/Time 08:00–09:00 14:00–15:00 17:00–18:00


Monday Yombo 4
Tuesday Yombo 4
Thursday Yombo 4

Assessments: 40% course-work; two tests, 10 Quizzes and 60% Final Examination.

TEXT BOOKS

1. S. T. Tan. Single Variable Calculus. Early Transcendentals. Brooks/Cole, Cengage


Learning, Canada 2011.

2. Boyce E. B, & DiPrima R. C. Elementary Differential Equations and Boundary


Value Problems, John Wiley & Sons, Inc., New York, 2001.

3. E. Kreyzig; Advanced Engineering Mathematics (10th ed.). John Wiley & Sons,
INC. 2011.

4. R. L. Burden and J. D. Faires. Numerical Analysis, 9th ed. Brooks/Cole, 2011.

5. Ross S. L. Introduction to Ordinary Differential Equations, John Willy & Sons, New
York, 1989.

6. A. C. Bajipai, I. M. Calus & J. A. Fairley: Mathematics for Engineers and Scientists


Vol. I, II.

7. M. K. Jain, S. R. Iyengar & R. K. Jain: Numerical Methods for Scientific and


Engineering Computation

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