CEN423 Matlab Programming

6 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN423
Name Matlab Programming
Term 2019-2020 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. UMUT ORHAN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

In this course, teaching the basic principles of programming and of implementing mathematical concepts in MATLAB is aimed.

Course Content

Introduction to Matlab, conditions, loops, nested loops, functions, probabilities and averages, vectors, plots, arrays-matrices, images, characters and strings, cell arrays, numeric/text procedures, file procedures, sorting and searching, recursion

Course Precondition

Yok

Resources

Notes

1. Insight Through Computing: A Matlab Introduction to Computational Science and Engineering by C. F. Van Loan and K.-Y. D. Fan. SIAM Publication, 2009. 2. MATLAB: An Introduction with Applications, by Amos Gilat, 2nd edition, Wiley, 2004.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Preparing software about any computable problem using Matlab
LO02 Explain MATLAB applications
LO03 Exercises with Matlab functions to a problem
LO04 Knows basic Matlab toolboxes


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 5
PLO03 - Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 5
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 4
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 1
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 0
PLO07 - Can access information,gains the ability to do resource research and uses information resources 1
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 3
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 3
PLO10 - Professional and ethical responsibility, 1
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 0
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 2


Week Plan

Week Topic Preparation Methods
1 Conditionals, nested conditionals, logical operators Reading related chapter in lecture notes
2 Iteration: for and while Reading related chapter in lecture notes
3 Developing algorithms, nested loops, discrete vs. continuous, plotting Reading related chapter in lecture notes
4 User-defined functions, executing a user-defined function Reading related chapter in lecture notes
5 2-d Arrays-matrix, matrix examples, contour plotting Reading related chapter in lecture notes
6 Working with images Reading related chapter in lecture notes
7 Characters and strings, cell arrays, structures and structure arrays Reading related chapter in lecture notes
8 Midterm exam Study to lecture notes and apllications
9 Working with numeric/text data, file procedures Reading related chapter in lecture notes
10 Computing on a grid (matrix - cell arrays) Reading related chapter in lecture notes
11 Sorting and Searching Reading related chapter in lecture notes
12 Divide and Conquer; Recursion Reading related chapter in lecture notes
13 Basic Matlab toolboxes Reading related chapter in lecture notes
14 Basic Matlab toolboxes Reading related chapter in lecture notes
15 Review for final Reading related chapter in lecture notes
16 Final Exam Study to lecture notes and apllications
17 Final Exam Study to lecture notes and apllications


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 09.05.2023 07:10