Numerical Analysis

Korea University

Course Description

  • Course Name

    Numerical Analysis

  • Host University

    Korea University

  • Location

    Seoul, South Korea

  • Area of Study

    Computer Science, Mathematics

  • Language Level

    Taught In English

  • Prerequisites

    Prerequisites: Engineering Mathematics I & II, Fundamental mathematics

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credits

    3
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Course Outline

    Aims: Today?s engineering and science students routinely encounter
    problems involving numerical solution techniques. Sometimes these
    solutions are ?automatically? generated by a software package. In other
    cases, they should adopt programming skills to devise their own
    solutions. In either case, knowledge of numerical methods is surely
    inevitable in developing and interpreting such solutions. Based upon
    the acquired knowledge from Engineering Mathematics I and II, this
    course provides students with the fundamental concept and practice of
    numerical analysis that are certainly used in higher-level undergraduate
    courses or graduate-level researches and courses.

    This course will be taught in English.

    Textbook: Advanced Engineering Mathematics, 9th edition (chap. 19, 20 and 21)
    Erwin Kreyszig, John Wiley & Sons, Inc. (2006)
    References: Applied Numerical Methods with Software
    Shoichiro Nakamura, Prentice-Hall International Ed. (1991): pdf file
    Applied Numerical Methods with Matlab for Engineers and scientists
    Steven C. Chapra, McGraw-Hill International Ed. (2005)
    Scientific Computing: An Introductory Survey
    Michael T. Heath, McGraw-Hill International Ed. (1997)
    Numerical Recipes
    Numerical Analysis, Fall 2014 2 Prof. Goangseup Zi
    W. H. Press et al. Cambridge University Press (2002)

    Course Format

    Lectures: I expect all students to attend class regularly, and to arrive at class on
    time. If you arrive late (except for special cases), I will consider you to
    be absent. In the real world of engineering, you will need to be on
    time! I will have no sympathy for students who regularly miss class
    without an appropriate excuse. If you have an illness, death in the
    family, or other such emergency that requires you to miss more than
    one class, let me know. If for some other legitimate reason you must
    miss class, let me know so that I can accommodate your special needs.
    If you have a previous class far from the lecture room just before
    Numerical Analysis, please let me and TA?s know it.
    Lab. Hours We are going to use one hour or two for laboratory activity every week.
    During this time, students should exercise learnings in the lecture and
    make their own program in Fortran or Matlab, or other programming
    languages. Most lab sessions will be guided by the class TAs.

    Homework (lab-base)

    Homework will be given on a weekly basis and due in one week and at
    the beginning of the designated class period. Late homework will have
    considerable penalty on your homework grade. You are encouraged to
    work with other students, but the homework that you submit must be
    your own. In trying to solve homework problems, you will apply the
    knowledge you are taught in class. Homework normally involves
    extensive use of relevant mathematical equations and is programming
    intensive. This will help you better understand how to apply numerical
    techniques for the solution to engineering problems.

    Term Project: We have one or two term project. The instructor will give an idea on
    the term project in class.

    Exam: There is one comprehensive midterm exam. The midterm exam will be
    given at the scheduled examination period for this class. In the exams
    you will be asked both qualitative and quantitative questions. The
    exams are not mere repetition of the homework, but you will be asked
    to apply materials that you have learned in class.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.