| Course Title | Numerical Analysis I | ||
| Course Code | MH3700 | ||
| Offered | Study Year 3, Semester 2 | ||
| Course Coordinator | Viet Ha Hoang (Assoc Prof) | vhhoang@ntu.edu.sg | 6513 2021 |
| Pre-requisites | MH1200 AND MH1201 OR MH1800 AND MH2800 OR CY1602 OR MH2802 | ||
| AU | 3 | ||
| Contact hours | Lectures: 26, Laboratories: 13, Tutorials: 13 | ||
| Approved for delivery from | AY 2018/19 semester 2 | ||
| Last revised | 13 Dec 2019, 17:33 | ||
This course introduces you to the basis of numerical methods and their analysis for solving algebraic equations, for approximating functions and their derivatives and integrals. The course also provides you the experience in implementing the numerical methods using computer programming languages. It serves as a foundation for further studying on mathematical computation which plays essential keys in many areas of applied mathematics, mathematical modelling, engineering and computational finance.
Upon successfully completing this course, you should be able to:
O notation
Iterative methods for solving algebraic equations: bisection method, fixed point iteration, Newton and secant methods, order convergence analysis
Lagrange and Hermite interpolation
Approximating derivatives of functions
Richardson’s extrapolation
Quadrature rules for numerical integration
| Component | Course ILOs tested | SPMS-MAS Graduate Attributes tested | Weighting | Team / Individual | Assessment Rubrics |
|---|---|---|---|---|---|
| Continuous Assessment | |||||
| Tutorials | |||||
| Quiz 1 of 15 minutes | 1, 2, 3 | 1. a, b 3. a | 5 | individual | See Appendix for rubric |
| Quiz 2 of 15 minutes | 1, 2, 3 | 1. a, b 3. a | 5 | individual | See Appendix for rubric |
| Mid-semester Quiz | |||||
| One midterm exam of 1 hour duration | 1, 2, 3 | 1. a, b, c 2. b 3. a | 30 | individual | See Appendix for rubric |
| Examination (2 hours) | |||||
| Final exam | 1, 2, 3 | 1. a, b, c 2. b 3. a | 60 | individual | See Appendix for rubric |
| Total | 100% | ||||
These are the relevant SPMS-MAS Graduate Attributes.
1. Competence
a. Independently process and interpret mathematical theories and methodologies, and apply them to solve problems
b. Formulate mathematical statements precisely using rigorous mathematical language
c. Discover patterns by abstraction from examples
2. Creativity
b. Build on the connection between subfields of mathematics to tackle new problems
3. Communication
a. Present mathematics ideas logically and coherently at the appropriate level for the intended audience
You will receive feedback on your tutorial work (you are expected to attempt the questions yourselves before the tutorials), quizzes and midterm test through provided model solutions. You will also receive general feedback during tutorial/lab sessions, and individual consultation. A report on the examination results will provide you with the feedback on the final exam.
| Lectures (26 hours) | Lectures will provide you with the theoretical details on the numerical methods together with particular examples. They will help you acquire the basic ideas of the methods and the mathematical theory behind the methods. Examples will help you understand how to use the method in particular situations. |
| Laboratories (13 hours) | Practical lab tasks help you acquire experience applying the numerical method to solving particular problems numerically. |
| Tutorials (13 hours) | Tutorials will provide problems for practice. You will understand the lectures’ materials better through solving particular problems with various levels of difficulty. Tutorials also touch upon further theoretical issues for which the lectures may not have time. They enhance your understanding of the mathematical concepts. |
Text book: R. L. Burden and J. D. Faires, Numerical Analysis, 9th edition, Brooks/Cole, 2011, ISBN-10:0-538-73564-3
However, the lectures notes should be self-contained and sufficient.
You are expected to attend all lectures and tutorials/lab sessions. You are expected to attempt the tutorial questions before the tutorial. Tutorials will provide solutions to help you check your own tutorial solutions and your understanding of the concepts and methods. You are expected to attend all the quizzes and midterm. You are expected to follow up all the course notes, tutorial problems and announcements on the course’s website.
Good academic work depends on honesty and ethical behaviour. The quality of your work as a student relies on adhering to the principles of academic integrity and to the NTU Honour Code, a set of values shared by the whole university community. Truth, Trust and Justice are at the core of NTU’s shared values.
As a student, it is important that you recognize your responsibilities in understanding and applying the principles of academic integrity in all the work you do at NTU. Not knowing what is involved in maintaining academic integrity does not excuse academic dishonesty. You need to actively equip yourself with strategies to avoid all forms of academic dishonesty, including plagiarism, academic fraud, collusion and cheating. If you are uncertain of the definitions of any of these terms, you should go to the Academic Integrity website for more information. Consult your instructor(s) if you need any clarification about the requirements of academic integrity in the course.
| Instructor | Office Location | Phone | |
|---|---|---|---|
| Viet Ha Hoang (Assoc Prof) | SPMS-MAS-04-19 | 6513 2021 | vhhoang@ntu.edu.sg |
| Week | Topic | Course ILO | Readings/ Activities |
|---|---|---|---|
| 1 | Revision of basic calculus, O notation | 1, 2, 3 | Lecture notes will be provided |
| 2 | Iterative methods for solving algebraic equations | 1, 2, 3 | Lecture notes will be provided |
| 3 | Iterative methods for solving algebraic equations | 1, 2, 3 | Lecture notes will be provided |
| 4 | Interpolation methods for approximating functions | 1, 2, 3 | Lecture notes will be provided |
| 5 | Interpolation methods for approximating functions | 1, 2, 3 | Lecture notes will be provided |
| 6 | Interpolation methods for approximating functions | 1, 2, 3 | Lecture notes will be provided |
| 7 | Approximation of derivatives, Richardson extrapolation | 1, 2, 3 | Lecture notes will be provided |
| 8 | Approximation of derivatives, Richardson extrapolation | 1, 2, 3 | Lecture notes will be provided |
| 9 | Midterm exam | 1, 2, 3 | Lecture notes will be provided |
| 10 | Numerical integration | 1, 2, 3 | Lecture notes will be provided |
| 11 | Numerical integration | 1, 2, 3 | Lecture notes will be provided |
| 12 | Numerical integration | 1, 2, 3 | Lecture notes will be provided |
| 13 | Numerical integration | 1, 2, 3 | Lecture notes will be provided |