Electrical Engineering (Communications and Signal Processing) - Bachelor of Science in Electrical Engineering
Overview
The Bachelor of Science in Electrical Engineering (B.S. EE) program of the Klipsch School is accredited by the Engineering Accreditation Commission of ABET, Inc. This particular concentration in the B.S. EE program gives students the opportunity to explore more deeply the area of communications and signal processing.
Electrical Engineering Program Educational Objectives
Below are the program educational objectives (PEOs) that describe the expected accomplishments of graduate during their first few years after graduation.
- Our graduates will obtain relevant, productive employment in the private sector, government and/or pursue an advanced degree.
- Our graduates will be using their engineering foundation to innovate solutions to the problems of the real world.
Requirements (123-125 credits)
Students must complete all University degree requirements, which include: General Education requirements, Viewing a Wider World requirements, and elective credits to total at least 123 credits with 48 credits in courses numbered 300 or above. Developmental coursework will not count towards the degree requirements and/or elective credits, but may be needed in order to take the necessary English and Mathematics coursework.
Prefix | Title | Credits |
---|---|---|
General Education | ||
Area I: Communications | ||
English Composition - Level 1 | ||
ENGL 1110G | Composition I | 4 |
English Composition - Level 2 ^{1} | 3 | |
Oral Communications ^{1} | 3 | |
Area II: Mathematics | ||
MATH 1511G | Calculus and Analytic Geometry I ^{2} | 4 |
Area III/IV: Laboratory Sciences and Social/Behavioral Sciences | 11 | |
General Chemistry I Lecture and Laboratory for STEM Majors | 4 | |
Calculus -Based Physics I and Calculus -Based Physics I Lab | 4 | |
Area IV: Social/Behavioral Sciences (3 credits) ^{1} | ||
Area V: Humanities ^{1} | 3 | |
Area VI: Creative and Fine Arts ^{1} | 3 | |
General Education Elective | ||
MATH 1521G | Calculus and Analytic Geometry II | 4 |
Viewing A Wider World | ||
Viewing a Wider World Electives ^{3} | 6 | |
Departmental/College Requirements | ||
Program Specific Requirements | ||
Mathematics and Natural Science | ||
MATH 392 | Introduction to Ordinary Differential Equations | 3 |
PHYS 1320G & PHYS 1320L | Calculus -Based Physics II and Calculus -Based Physics II Lab | 4 |
ENGR 190 | Introduction to Engineering Mathematics | 4 |
E E 200 | Linear Algebra, Probability and Statistics Applications | 4 |
E E 240 | Multivariate and Vector Calculus Applications | 3 |
STEM | ||
Choose two STEM Electives ^{4} | 6 | |
Electrical and Computer Engineering | ||
ENGR 120 | DC Circuit Analysis | 4 |
ENGR 130 | Digital Logic | 4 |
ENGR 140 | Introduction to Programming and Embedded Systems | 4 |
ENGR 230 | AC Circuit Analysis | 4 |
E E 300 | Cornerstone Design | 2 |
E E 317 | Semiconductor Devices and Electronics I | 4 |
E E 320 | Signals and Systems I | 3 |
E E 325 | Signals and Systems II | 4 |
E E 340 | Fields and Waves | 4 |
E E 362 | Introduction to Computer Organization | 4 |
ENGR 401 | Engineering Capstone I | 3 |
ENGR 402 | Engineering Capstone II | 3 |
E E Concentration Required Courses | ||
E E 395 | Introduction to Digital Signal Processing | 3 |
E E 496 | Introduction to Communication Systems | 3 |
E E Concentration Electives: Choose two courses from the following (one must be an E E course): | 6-7 | |
Advanced Image Processing | 3 | |
Digital Image Processing | 3 | |
Neural Signal Processing | 3 | |
Space System Mission Design and Analysis | 3 | |
Machine Learning I | 3 | |
Selected Topics (Wireless Communications) | 3 | |
Digital Communication Systems I | 3 | |
Algorithm Design & Implementation | 3 | |
Data Structures and Algorithms | 4 | |
Python Programming I ^{5} | 3 | |
Artificial Intelligence I | 3 | |
Computer Graphics I | 3 | |
Digital Game Design | 3 | |
Computer Security | 3 | |
Bioinformatics | 3 | |
Complex Variables | 3 | |
Fourier Series and Boundary Value Problems | 3 | |
Calculus of Variations and Optimal Control | 3 | |
Applied Linear Algebra | 3 | |
Advanced Linear Algebra | 3 | |
Introduction to Real Analysis I | 3 | |
Probability: Theory and Applications | 3 | |
Non-Departmental Requirements (in addition to Gen.Ed/VWW) | ||
Programming Elective | ||
Select one course from the following: | 3-4 | |
C++ Programming | 3 | |
Java Programming | 3 | |
Python Programming I ^{5} | 3 | |
Python Programming II | 3 | |
Computer Science I | 4 | |
Object Oriented Programming | 0,4 | |
Second Language: (not required) | ||
Electives, to bring the total credits to 123 | 0 | |
Total Credits | 123-125 |
- ^{ 1 }
See the General Education section of the catalog for a full list of courses.
- ^{ 2 }
MATH 1511G Calculus and Analytic Geometry I is required for the degree but students may need to take any prerequisites needed to enter MATH 1511G Calculus and Analytic Geometry I first.
- ^{ 3 }
See the Viewing a Wider World section of the catalog for a full list of courses.
- ^{ 4 }
STEM Elective: Course at the 300 level or above from E E that is not used to satisfy any other E E program requirement or courses at the 300 level or above from A E, C E, CHME, I E, M E, ASTR, BIOL, CHEM, C S, MATH, PHYS and STAT. Excluded courses include VWW courses and those which are substantially equivalent to an E E course. Click to view a list of excluded STEM Electives.
- ^{ 5 }
Students may take C S 153 Python Programming I toward their Programming Elective or C S 453 Python Programming I toward their E E Concentration Electives, but not both.
A Suggested Plan of Study for Students
This roadmap assumes student placement in MATH 1511G Calculus and Analytic Geometry I and ENGL 1110G . The contents and order of this roadmap may vary depending on initial student placement in mathematics and English. It is only a suggested plan of study for students and is not intended as a contract. Course availability may vary from fall to spring semester and may be subject to modification or change.
First Year | ||
---|---|---|
Fall | Credits | |
ENGR 190 | Introduction to Engineering Mathematics | 4 |
ENGL 1110G | Composition I | 4 |
CHEM 1215G | General Chemistry I Lecture and Laboratory for STEM Majors | 4 |
ENGR 120 | DC Circuit Analysis | 4 |
Credits | 16 | |
Spring | ||
MATH 1511G | Calculus and Analytic Geometry I ^{1} | 4 |
General Education Requirement (Area I, IV, V, VI or VWW) ^{2} | 3 | |
ENGR 130 | Digital Logic | 4 |
ENGR 140 | Introduction to Programming and Embedded Systems | 4 |
Credits | 15 | |
Second Year | ||
Fall | ||
MATH 1521G | Calculus and Analytic Geometry II | 4 |
PHYS 1310G & PHYS 1310L | Calculus -Based Physics I and Calculus -Based Physics I Lab | 4 |
E E 200 | Linear Algebra, Probability and Statistics Applications | 4 |
ENGR 230 | AC Circuit Analysis | 4 |
Credits | 16 | |
Spring | ||
MATH 392 | Introduction to Ordinary Differential Equations | 3 |
PHYS 1320G & PHYS 1320L | Calculus -Based Physics II and Calculus -Based Physics II Lab | 4 |
E E 240 | Multivariate and Vector Calculus Applications | 3 |
Choose one Programming course from the following: | 3-4 | |
C++ Programming | ||
Java Programming | ||
Python Programming I | ||
Python Programming II | ||
Computer Science I | ||
Object Oriented Programming | ||
General Education Requirement (Area I, IV, V, VI or VWW) ^{2} | 3 | |
Credits | 16-17 | |
Third Year | ||
Fall | ||
E E 300 | Cornerstone Design | 2 |
E E 320 | Signals and Systems I | 3 |
E E 340 | Fields and Waves | 4 |
General Education Requirement (Area I, IV, V, VI or VWW) ^{2} | 3 | |
General Education Requirement (Area I, IV, V, VI or VWW) ^{2} | 3 | |
Credits | 15 | |
Spring | ||
E E 317 | Semiconductor Devices and Electronics I | 4 |
E E 325 | Signals and Systems II | 4 |
E E 362 | Introduction to Computer Organization | 4 |
General Education Requirement (Area I, IV, V, VI or VWW) ^{2} | 3 | |
Credits | 15 | |
Fourth Year | ||
Fall | ||
ENGR 401 | Engineering Capstone I | 3 |
E E 395 | Introduction to Digital Signal Processing ^{3} | 3 |
E E 496 | Introduction to Communication Systems ^{3} | 3 |
STEM Elective ^{4,5} | 3 | |
General Education Requirement (Area I, IV, V or VWW) ^{2,5} | 3 | |
Credits | 15 | |
Spring | ||
ENGR 402 | Engineering Capstone II | 3 |
Communications & Signal Processing Elective ^{5,6} | 3-4 | |
Communications & Signal Processing Elective ^{5,6} | 3 | |
STEM Elective ^{4,5} | 3 | |
General Education Requirement (Area I, IV, V or VWW) ^{2,5} | 3 | |
Credits | 15-16 | |
Total Credits | 123-125 |
- ^{ 1 }
MATH 1511G Calculus and Analytic Geometry I is required for the degree but students may need to take any prerequisites needed to enter MATH 1511G Calculus and Analytic Geometry I first.
- ^{ 2 }
See the General Education and Viewing a Wider World section of the catalog for a full list of courses.
- ^{ 3 }
Students must take both E E 395 Introduction to Digital Signal Processing and E E 496 Introduction to Communication Systems, both of which are offered in the Fall semester.
- ^{ 4 }
STEM Elective: Course at the 300 level or above from E E that is not used to satisfy any other E E program requirement or courses at the 300 level or above from A E, C E, CHME, I E, M E, ASTR, BIOL, CHEM, C S, MATH, PHYS and STAT. Excluded courses include VWW courses and those which are substantially equivalent to an E E course. Click to view a list of excluded STEM Electives.
- ^{ 5 }
Depending on availability of specific courses in the fall or spring semester, students may need to reorganize the ECE Electives, STEM electives, and/or Gen Ed/VWW electives in their final year. Students are strongly advised to consult with their ECE Faculty Mentor for assistance in planning their final year.
- ^{ 6 }
One Communications & Signal Processing Elective Courses must be from the E E Prefix. Communications & Signal Processing Elective Courses:
- E E 444 Advanced Image Processing, E E 446 Digital Image Processing, E E 447 Neural Signal Processing, E E 460 Space System Mission Design and Analysis, E E 465 Machine Learning I, E E 490 Wireless Communications, E E 497 Digital Communication Systems I
- C S 343 Algorithm Design & Implementation, C S 372 Data Structures and Algorithms, C S 453 Python Programming I, C S 475 Artificial Intelligence I, C S 476 Computer Graphics I, C S 477 Digital Game Design, C S 478 Computer Security, C S 486 Bioinformatics
- MATH 471 Complex Variables, MATH 472 Fourier Series and Boundary Value Problems, MATH 473 Calculus of Variations and Optimal Control, MATH 480 Applied Linear Algebra, MATH 481 Advanced Linear Algebra, MATH 491 Introduction to Real Analysis I
- STAT 470 Probability: Theory and Applications