# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL ANALYSIS/CENG206
 Course Title: NUMERICAL ANALYSIS Credits 3 ECTS 4 Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
English
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Introducing numerical analysis issues
Introducing the basic concepts of finite differences
Introducing numerical methods for root finding
Introducing the methods of solution of nonlinear equations
Introducing the methods of interpolation
Introducing the methods to get the derivative
Introducing the methods of integration
Introducing numerical solutions of double integrals
Introducing the methods of curve fitting
Introducing the methods for solving differential equations

-- MODE OF DELIVERY
The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE 1. Week Numerical analysis in engineering, errors 2. Week Computer representations of integers, floating point numbers (IEEE notation) 3. Week Notation related errors, solution methods for multivariate equations 4. Week Finite difference procedures 5. Week Forward difference, backward difference, central difference tables and their use in finding errors 6. Week The concept of interpolation 7. Week Forward/backward difference interpolation formulas 8. Week Curve fitting, least squares method 9. Week Numerical integration methods 10. Week Ordinary differential equations approximate solution methods 11. Week Iteration methods, Newton-Raphson, Secant, Two Partitions methods 12. Week Runge-Kutta, Euler-Secant methods 13. Week Solving differential equations using Taylor series expansion method 14. Week Application Examples 15. Week 16. Week
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 40 Assignment 4 20 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 60 Percentage of Final Exam to Total Score 40
-- WORKLOAD
 Activity Total Number of Weeks Duration (weekly hour) Total Period Work Load Weekly Theoretical Course Hours 14 3 42 Weekly Tutorial Hours 0 Reading Tasks 14 2 28 Searching in Internet and Library 0 Material Design and Implementation 0 Report Preparing 0 Preparing a Presentation 0 Presentation 0 Midterm Exam and Preperation for Midterm Exam 1 14 14 Final Exam and Preperation for Final Exam 1 14 14 Other (should be emphasized) 0 TOTAL WORKLOAD: 98 TOTAL WORKLOAD / 25: 3.92 Course Credit (ECTS): 4
-- COURSE'S CONTRIBUTION TO PROGRAM
 NO PROGRAM LEARNING OUTCOMES 1 2 3 4 5 1 Sufficient knowledge on mathematics, science and computer engineering; ability to apply theoretical and practical knowledge in these areas to model and solve complex engineering problems X 2 Ability to identify, define, formulate and solve complex engineering problems; ability to choose and apply appropriate analysis and modelling methods for these purposes X 3 Ability to design a complex system, process, device, software, algorithm, or product under realistic constraints and circumstances to meet certain requirements; ability to apply modern design techniques for this purpose X 4 Ability to choose, develop and use modern techniques and tools necessary for engineering applications; ability to effectively use computing technologies X 5 Ability to design and implement systems or experiments to solve complex engineering problems or investigate research topics in computer engineering; collect and interpret data to evaluate and analyze the results of solutions X 6 Ability to work effectively in intradisciplinary and interdisciplinary teams or individually X 7 Ability to efficiently prepare, evaluate and interpret reports; ability to generate design and production reports X 8 Ability to make presentations, conduct effective verbal and written communication, and give clear directions in Turkish and English X 9 Awareness of the necessity of lifelong learning; ability to access information, follow scientific and technological developments; ability to perpetually renew oneself X 10 Awareness of professional and ethical responsibility, ability to act in accordance with ethical principles X 11 Ability to apply knowledge on project management, risk management and change management X 12 Awareness of entrepreneurship, innovation, and sustainable development X 13 Ability to devise local and global solutions to contemporary issues considering the effects of engineering applications on health, environment and security X 14 Awareness of the legal consequences of engineering solutions X 15 Ability to apply knowledge on software development process and documentation rules X 16 Knowledge on standards used in engineering applications X 17 Awareness of occupational health and safety, information security and privacy X
-- NAME OF LECTURER(S)
(Department Chair)
-- WEB SITE(S) OF LECTURER(S)
(mf-bm.gazi.edu.tr)
-- EMAIL(S) OF LECTURER(S)
(bmbb@gazi.edu.tr)