Information Package / Course Catalogue
CME 302 Computational Methods in Engineering
MEF University
Degree Programs
Psychology
General Information For Students
Diploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code CME 302
Course Title in English Computational Methods in Engineering
Course Title in Turkish Mühendislikte Hesaplamalı Yöntemler
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: None Lab: None Other: None
Estimated Student Workload 120 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 115 - Calculus I
COMP 105 - Computer Programming (C) | COMP 107 - Computer Programming (MATLAB) | COMP 111 - Computer Programming (MATLAB)
Expected Prior Knowledge Prior knowledge of linear algebra, of differentiation and integration of single-valued functions and of ordinary differential equations, use of MATLAB software.
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To acquire a basic knowledge and understanding of numerical methods necessary for computations in engineering.
Course Description This course introduces computational methods for engineering applications using Matlab software. Topics covered include: approximations and errors associated with numerical analysis; roots of equations; numerical solution of linear algebraic equations; least-squares regression and interpolation; numerical differentiation and integration; numerical solution of ordinary differential equations.
Course Description in Turkish Bu derste, mühendislik uygulamalarında kullanılan hesaplamalı metotlar Matlab yazılımı kullanılarak incelenmektedir. Ders şu konu başlıklarını içermektedir: sayısal analiz ile ilgili hata; denklemlerin kökleri; lineer cebirsel denklemlerinin sayısal çözümü; en küçük kareler yöntemi ve interpolasyon; sayısal türev ve integral; adi diferansiyel denklemlerin sayısal çözümü.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) determine roots of single-valued functions using various numerical methods
2) solve systems of equations using various numerical methods
3) perform curve fitting using least-squares regression and interpolation
4) perform numerical differentiation and integration for various problems
5) find numerical solutions for ordinary differential equations of typical applications
6) implement various computational methods using an engineering software
7) perform an internet search or literature review and acquire knowledge for numerical methods/methodologies for solving complex engineering problems
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date NAMIK KILIÇ , October 2023
Course Coordinator CANFUAD DELALE
Semester Spring
Name of Instructor Asst. Prof. Dr. NAMIK KILIÇ

Course Contents

Week Subject
1) Introduction to computational methods in engineering. Mathematical modeling and engineering problem solving. Programming and software.
2) Approximations and errors associated with numerical analysis.
3) Roots of equations.
4) Roots of equations.
5) Roots of equations.
6) Numerical solution of linear algebraic equations.
7) Numerical solution of linear algebraic equations.
8) Numerical solution of linear algebraic equations. Least-squares regression.
9) Least-squares regression.
10) Interpolation.
11) Numerical differentiation.
12) Numerical integration.
13) Numerical solutions of ordinary differential equations.
14) Numerical solutions of ordinary differential equations.
15) Final Exam/Project/Presentation Period.
16) Final Exam/Project/Presentation Period.
Required/Recommended ReadingsNumerical Methods for Engineers, 7th Edition, S.C. Chapra, R.P. Canale, McGraw-Hill, 2015.
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique.
Homework and ProjectsProjects to implement various numerical methods using Matlab software will be assigned. In-class exercises will be done throughout the semester.
Laboratory WorkNone
Computer UseIntense use of Matlab software is needed.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Application 10 % 15
Project 2 % 25
Midterm(s) 2 % 60
TOTAL % 100
Course Administration korukh@mef.edu.tr
02123953654
Instructor’s office and phone number: 563 (A Block-5th Floor) / 0212 3953654 office hours: 14:00-16:00 Monday email address: korukh@mef.edu.tr Rules for attendance: Minimum of 70% attendance is required. Please note that Classroom Practices contribute to 10% of the final grade. Missing a midterm: Provided that proper documents of excuse are presented, missed midterm by the student will be given the grade of the final exam. No make-up will be given. Eligibility to take the final exam: Minimum of 70% attendance is required. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Statement on plagiarism: YÖK Regulations (http://www.mef.edu.tr/tr/yonetmelikler).

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 2.5 0.5 56
Project 2 15 2 2 38
Quiz(zes) 2 2 1 0.5 7
Midterm(s) 2 15 2 34
Total Workload 135
Total Workload/25 5.4
ECTS 5