Introduction to Scientific Computing

Course Code:

ES 117

Course Period:

Spring

Course Type:

Core

Credits:

3

Theoric:

2

Practice:

0

Laboratory Hour:

2

ECTS:

5

Course Language:

English

Course Objectives:

The purpose of this course is to help the student learn the general principles of modern programming concepts using the programming language MATLAB® and apply those skills towards the solution of engineering problems. Upon successful completion of this course, the student will be able to: •Understand basic foundations of computer programming •Have a basic understanding of how engineers use computers to numerically solve problems •Have a basic understanding of how to test and debug computer programs •Have the ability and an appreciation for good documentation of computer programs •Understand basic algorithms for numerical solution of engineering problems •Use MATLAB® for computational implementation, solution, and testing of algorithms •Have a reasonably good knowledge of the MATLAB® programming environment

Course Content:

Introduction to MATLAB® and programming with MATLAB®.

Algorithm development.

Sequence, decision and repetition structures.

Plotting, basic file operations.

Applications in engineering.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Laboratory 4: Simulation 5: Term paper

Course Evaluation Methods:

A: Exam, B: Experiment, C: Homework

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Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Understand basic foundations of computer programming	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.	Lecture + Laboratory	MIDTERM 1
Have a basic understanding of how engineers use computers to numerically solve problems	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.	Lecture + Laboratory	MIDTERM 2
Have a basic understanding of how to test and debug computer programs	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)	Lecture + Laboratory	MIDTERM 2
Have the ability and an appreciation for good documentation of computer programs	Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.	Lecture + Laboratory	FINAL
Understand basic algorithms for numerical solution of engineering problems	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.	Laboratory	QUIZ
Use MATLAB® for computational implementation, solution, and testing of algorithms Have a reasonably good knowledge of the MATLAB® programming environment	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.	Lecture + Laboratory	MIDTERM 2

Course Flow

Week	Topics	Study Materials
1	Introduction to Computers and MATLAB®	Book chapter: 1.1-1.4 2.1-2.4
2	Built-in MATLAB® Functions	3.1-3.9
3	Matrices and Vectors – Part I	4.1
4	Matrices and Vectors – Part II	4.3
5	Plotting using MATLAB®	5.1- 5.7
6	MATLAB® Function Files	6.1- 6.5
7	Review & 1st Midterm Exam week
8	User-controlled Input and Output	7.1- 7.6
9	Introduction to Programming in MATLAB®	8.1-8.3
10	Introduction to Branching Statements	8.4-8.5
11	Introduction to Loops	9.1-9.2
12	Putting it all together: Programming Examples	9.3-9.6
13	Review & 2nd Midterm Exam week
14	Solving Simultaneous Equations, Polynomials and Curve Fitting	10.1-10.3

Recommended Sources

Textbook

Holly Moore, MATLAB® for Engineers, 3rd Edition, 2012, Pearson, New York.

William J. Palm III. 2010. Introduction to MATLAB® for Engineers. 3rd Edition. McGraw-Hill: New York, NY.

Brian D. Hahn and Daniel T. Valentine. 2007. Essential MATLAB® for Engineers and Scientists. 3rd Edition. Elsevier.

Additional Resources

Other resources: A number of MATLAB® resources (primers, tutorials, guides) are available on the web.

http://www.mathworks.com/.

Material Sharing

Documents	Slaytlar: Holly Moore, MATLAB® for Engineers, 3rd Edition, 2012, Pearson, New York.
Assignments	-
Exams	-

Assessment

IN-TERM STUDIES	NUMBER	PERCENTAGE
Midterm 1	1	30
Midterm 2	1	30
Quiz + Homework	1	5
Attendance	1	5
Total		70
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		30
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		70
Total		100

Course’s Contribution to Program

No	Program Learning Outcomes
1	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4	Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.	√
5	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.	√
7	Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9	Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10	Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11	Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

ECTS

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 14x Total course hours)	14	2	28
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Quiz + Homework	1	2	2
Final	1	3	3
Laboratory	14	2	28
Hours for off-the-laboratory study (Pre-study, answering questions and reports)	14	1	14
Total Work Load			117
Total Work Load / 25 (h)			4.68
ECTS Credit of the Course			5

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Introduction to Scientific Computing

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