Syllabus for EE 205 Software Tools for Electrical Engineering Fall

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TED UNIVERSITY
Syllabus for
EE 205 Software Tools for Electrical Engineering
Fall 2015-2016
Instructor:
Office:
Phone:
E-mail:
Asst. Prof. Dr. Tolga İNAN
321
(0312) 585-00-26
[email protected]
Time Schedule:
Office Hour:
Course
Code & Number
Type of Course
Level of Course
Course Credit
Hours / ECTS
Mode of Delivery
Wednesday (09.00 – 11.50) A316
Wednesday (14.00 - 15.00) (or by appointment)
Software Tools for
Electrical Engineering
EE205
Course Title
 Compulsory  Elective
BSc
Semester
Year of Study
Pre-requisite /
Co-requisite
 Fall  Spring  Summer
Sophomore
Language of
Instruction
 English
 Turkish
(0+0+3) 1 / 4ECTS
 Face-to-face
 Distance learning
Pre-requisite: None
Course
Coordinator
Computer Usage
Textbook
Module and
Instructor
Evaluation Date
Asst.Prof.Dr. Tolga İNAN
Course Catalog
Description
Programming in numerical computing and modeling software environments for
electrical engineering.
Course
Objectives
This course aims to give the fundamentals of computing and modeling
software environments for electrical engineering.
Course Learning
Outcomes
(LO)
Having successfully completed this course, students will be able to:
LO-1: Identify numerical computing software environments for electrical engineering(B2).
LO-2: Compute, model and plot (B3) with Matlab Software.
LO-3: Identify electronic circuit simulation software environments for electrical
engineering(B2).
LO-4: Simulate a basic circuit using LTspice computer software (B3)
Bloom’s taxonomy levels: (B1) Knowledge, (B2) Comprehension, (B3) Application, (B4)
Analysis, (B5) Synthesis, (B6) Evaluation.
MATLAB assignments (http://www.mathworks.com/products/matlab/)
Evaluation date will be announced.
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TENTATIVE COURSE OUTLINE
Week
Date
1
9.9
2
16.9
3
23.9
4
30.9
5
7.10
6
14.10
7
21.10
8
28.10
9
4.11
10
11.11
11
18.11
Learning
Outcome
(LO)
Topics
 MATLAB
 Overview of the computer
hardware, Product Overview,
Matlab Environment,
 Starting and quitting the MATLAB
 Help command and help menu
 Desktop tools and development
environment, Command window,
command history, Workspace
browser and variable editor

















Expressions, Variables, Numbers
Operators, Functions
If, while, for
Matrices and Arrays
Matrix Operations
Subscripts, Colon operator
Working with Matrices
Generating Matrices
load, fscanf, fprintf, textscan
Saving code to a m-file
Concatenation
Deleting rows and columns
More about matrices and arrays
Arrays, Multivariate Data
Scalar Expansion
Logical Subscripting
FIND function
Textbook
Reading
Assignments /
Exams
1,2
1,2
Laboratory
Assignment #1
1,2
Laboratory
Assignment #2
Laboratory
Assignment #3
1,2,4
Laboratory
Assignment #4
Laboratory
Assignment #5
 More Maltab Commands
 else, elseif, pause, break, return,
clear, close,
 tic, toc, why
 dir, cd, mkdir, rmdir, isdir
Graphics
Plotting Data
figure, subplot, hold, cla, clf
polar, rose, compass, ezpolar
loglog, semilogx, semilogy
Creating mesh and surface plots
Understanding Handle Graphics
Objects
 Interactive Data Exploration
(Brushing)







1,2
1,2
Laboratory
Assignment #6
1,2
Laboratory
Assignment #7
1,2
 LTspice (or a similar spice
based simulation program)
 Introduction to the LTspice
Interface
2
3,4
Laboratory
Assignment #8
Laboratory
Assignment #9
12
25.11
13
2.12
14
9.12
15
16.12
 Draft a Design Using the Schematic
Editor3,
 Run and Probe a Circuit
 Generating a Bill of Materials
(BOM) and Efficiency Report
3,4
3,4
3,4
FINAL EXAMS WEEK, Date and time to be announced later.
COURSE ASSIGNMENTS
B. Final [19 %]
There will be a cumulative closed-book final exam covering all topics. Date and time of the final will be
announced at the end of the semester.
C. Laboratory Assignments[81%]
There will be 9 Laboratory Assignments,9 % for each one.
COURSE ASSESSMENTS & LEARNING OUTCOMES MATRIX
Assessment Methods
Laboratory Assignments
Final Exam
Course Learning Outcomes
LO # 1,2,3,4
LO # 1,2,3,4
Grade Scale
90-100
85-89
80-84
75-79
70-74
60-69
50-59
AA
BA
BB
CB
CC
DC
DD
Teaching Methods
& Learning
Activities
 Telling/Explaining
 Questioning
 Reading
 Demonstrating
 Problem Solving
 Collaborating
 Oral Presentations/Reports
 Web Searching
 Project Assignments
Assessment
Methods (Formal &
Informal)
 Test/Exam
 Presentation (Oral)
 Lab Assignments
Student Workload
(Total 117 Hrs)
 Lab Applications........................... 42 hrs
 Course Readings .......................... 25 hrs
 Exams/Quizzes ………….............. 25 hrs
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COURSE POLICIES
I. Attendance



Regular class attendance is expected for all students at the University. You are not required but advised to attend all classes.
Please sign the attendance sheet when you come to the class. Any false signatures will result in zero participation grades for all parties
involved.
Your absence will not reduce your attendance rate if and only if you have a legitimate reason for missing a class (such as illness, death in
family, a traffic accident, etc.). In case of an illness or emergency, you must supply a formal documentation that supports your claim.
II. Make-up Exams
Make-Up for the Final Examwill be available if and only if you have a legitimate reason for missing the exam (such as illness, death in family, a
traffic accident, etc.). In case of an illness or emergency, you must supply a formal documentation that supports your claim.
III. Late Submission Policy
Late submissions will be graded zero. There will be no make-up for laborotory assignments. Missed assignments will result in a grade of zero
(0).
IV. Cheating & Plagiarism
Collaboration is strongly encouraged; however, the work you hand in must be solely your own. Cheating and plagiarism are very serious offenses
and will be penalized accordingly by the university disciplinary committee.
Cheating has a very broad description which can be summarized as "acting dishonestly". Some of the things that can be considered as cheating are
the following:
- Copying answers on exams, projects and lab works,
- Using prohibited material on exams,
- Lying to gain any type of advantage in class,
- Providing false, modified or forged data in a report,
- Plagiarising (see below),
- Modifying graded material to be re-graded,
- Causing harm to colleagues by distributing false information about an exam, homework or lab.
All of the following are considered plagiarism:
- Turning in someone else's work as your own,
- Copying words or ideas from someone else without giving credit,
- Failing to put a quotation in quotation marks,
- Giving incorrect information about the source of a quotation,
- Changing words but copying the sentence structure of a source without giving credit,
- Copying so many words or ideas from a source that it makes up the majority of your work, whether you give credit or not.
(www.plagiarism.org)
V. Disability Support
If you have a disabling condition which may interfere with your ability to successfully complete this course, please contact Dr. Aslı Bugay (email:
[email protected] ) or Dr. Tolga İnan (email: [email protected]). For more information please see Handbook for Registered Students.
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