Mathematical
Analysis, ENGR 2145
Spring 2023
Sophomore
Ignatian
Residential College Course
Time
& Location:
Sec. 1, D. Belfadel: TF,
9:30-10:45 am, Room: NHS 403
Sec. 2, D. Belfadel: TF,
11:00-12:15 am, Room: NHS 403
Sec. 3, J. Denenberg: TF, 2:00-3:15
pm, Room: NHS 405
Peer Learning Group: PLG Leaders:
Sec. 1,
john.minogue@student.fairfield.edu, (T, BNW 139 5:00-6:15 pm)
Sec. 2, brigid.protzmann
@student.fairfield.edu (W, BNW 139 11:00 am-12:15 pm)
Sec. 3, alexa.fiorica@student.fairfield.edu, (W, BNW
137 2:00 Pm-3:15 pm)
Lecture 2 Assistant,
kyle.hochenberger@student.fairfield.edu, (TF, 11:00-12:15 am, NHS 403
Equipment: Personal laptop (CPU:
Intel Core i5 or equivalent)
Instructors:
Section 1 & 2: D. Belfadel, Ph.D, Associate
Professor, Electrical & Biomedical Engineering
Email:
Dbelfadel@fairfield.edu
Office
Location: BNW 106
Office
Hours: In-person 12:30 - 2:00 T or via Zoom anytime by appointment
Phone:
203-254-4000 ext. 2527
Section 3: J. Denenberg, Ph.D,
Adjunct Professor, Electrical & Biomedical Engineering
Email:
jdenenberg@fairfield.edu
Office
Location: BNW GR33D
Google
Voice: (203) 513-9427 (Texting works)
Office
Hours: Tues % Fri 12:30-1:30 and Tues 3:30-4:30 or via Zoom (ID# 710 293 2408)
Textbooks:
1. An Introduction
to MATLAB Programming and Numerical Methods for Engineers
Author(s):
Timmy Siauw and Alexandre Bayen
2. Matlab: MATLAB A
Practical Introduction to Programming and Problem Solving,
4rd
Ed. Author: Attaway
Software: MATLAB (download instructions are on BlackBoard)
Course
Description:
In this course, as you reflect on the question of \Who Am I Called to
be?" in your mentoring groups this semester, you will learn mathematical
and numerical methods such as root finding, differentiation, integration,
solve system of linear equations and through weekly reflection exercises
(modeled on the Ignatian Examen) you will understand how to apply these methods
to solve scientific problems. Additionally, the course will cover statistics
including data analysis, data fitting, and interpolation. The programming
language that will be used in this course is MATLAB.
Prerequisite(s): MATH 1142 or
equivalent.
Corequisite(s):
ENGR
2145P.
Credit
Hours: 3
Course
Objectives:
1. Learn and develop a foundational
understanding of computer programming and how it is applied in the field of
engineering.
2. Develop an
understanding of mathematics, numerical methods, and statistics especially relevant
to the field of engineering.
3. Encourage methodical,
orderly, and disciplined study of engineering.
Course Outcomes:
1. Show proficiency in
MATLAB including the understanding of the workspace, using m-files, graphics
and plotting, and vector manipulation. [I] (1)
2. Demonstrate mastery
of mathematical, numerical, and statistical engineering topics
such as matrix algebra, data analysis and statistics, data interpolation, curve
fitting,
integration, differentiation, and optimization. [II] (2)
3. Identify how
programming and mathematical content applies to the field of engineering and
understand the impact of engineering solutions in global economic,
environmental, and societal contexts. [I,II] (4)
knowledge
[ ] course outcome link
to the Blooms Taxonomy levels goal
( ) link to ABET student outcomes
Grade Distribution:
|
Participation |
5% |
Attendance Policy:
Students are responsible for acquiring notes and homework assignments from
classmates in case of absence. Poor attendance - without valid excuse - will be
reflected on grades.
Special Needs Assistance: If you
have a documented disability and wish to discuss academic accommodations,
please contact: Office of Accessibility (203) 254-4081 or email: acdc@fairfield.edu, and notify the course instructor within
the first two weeks of the semester.
Important: This
syllabus is subject to change depending on the mode of teaching online, hybrid,
or in person. Course procedures and requirements may change with emerging conditions
and public health requirements. All changes will be announced and posted on Blackboard.
Tentative Course Outline:
The weekly coverage might change as it depends on the progress of the class.
|
Week |
Content |
|
Week 1 (2) 1-17 |
• MATLAB Basics |
|
Week 2 (2) 1-24 |
• Vectors and Matrices |
|
Week 3 (2) 1-31 |
• Scripts & Functions |
|
Week 4 (2) 2-7 |
• Control Flow (Conditional
Statement) |
|
Week 5 (2) 2-14 |
• Control Flow (Loops) |
|
Week 6 (1 F) 2-24 |
• Advanced Functions |
|
Week 7 (2) 2-28 |
• Symbolic & Plotting |
|
Week 8 (2) 3-7 |
• Midterm Exam: March 10 |
|
Week 9 (2) 3-21 |
• Root Finding &
Optimization |
|
Week 10 (2) 3-28 |
• Linear Algebra |
|
Week 11 (2) 4-4 |
• Integration &
Differentiation |
|
Week 12 (1 T) 4-11 |
• Data Analysis &
Statistics |
|
Week 13 (2) 4-18 |
• Data Analysis &
Statistics |
|
Week 14 (2) 4-25 |
• Interpolation &
Regression |
|
Week 15(1) |
• Sec. 1: May 6, 8:00 am |