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 2017-2018 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. Previous term groups and teaching staff are shown.
Prof. Dr. UMUT ORHAN (Güz) (A Group) (Ins. in Charge)


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 Bilgi - Kuramsal, Olgusal Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 4
PLO03 Bilgi - Kuramsal, Olgusal 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. 3
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 2
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 3
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources 4
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 1
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility, 3
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


Week Plan

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


Assessment (Exam) Methods and Criteria

Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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