Electrical Engineering (Artificial Intelligence, Machine Learning, & Data Science) - Bachelor of Science in Electrical Engineering
Overview
The Electrical Engineering BS program is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org, under the commission’s General Criteria and Program Criteria for Electrical, Computer, Communications, Telecommunication(s), and Similarly Named Engineering Programs. 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.
Transfer Credit Guidelines for Electrical Engineering Degrees
Credit earned at other institutions are generally accepted; however, the following restrictions apply to transfer credits:
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Engineering credit must be earned at an ABET accredited school.
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Physics coursework must be calculus based.
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If the NMSU required course includes a lab, the transfer credit must include a lab.
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A grade of C- or better, must have been earned for transfer coursework.
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E E Courses numbered 300/3000 or higher, Cornerstone and Capstone courses may not be transferred for credit.
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Transfer credits for courses above 300/3000 level are not accepted.
Requirements (123-124 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.
BSEE students must earn a grade of C- or better in all engineering, technology, math and science courses (including associated prerequisite courses) required for the degree. A student may attempt any of these courses no more than three times to earn a passing grade of C- or better. Students who earn a grade less than a C- will be contacted by the department head or academic advising center and advised about this policy and resources to help in their academic success. If the student fails to pass any of these courses after three attempts, then the student will not be able to continue as an electrical engineering major and will be counseled on other degree options. Students may request an exception to this policy through written appeal to the Associate Dean for Academics in the College of Engineering.
| Prefix | Title | Credits |
|---|---|---|
| General Education | ||
| Area I: Communications | ||
| English Composition - Level 1 | 4 | |
| Composition I | 4 | |
| English Composition - Level 2 1 | 3 | |
| Oral Communications 1 | 3 | |
| Area II: Mathematics | 4 | |
| Calculus and Analytic Geometry I 2 | 4 | |
| Area III: Laboratory Sciences | 8 | |
| 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 1 | 3 | |
| Area V: Humanities 1 | 3 | |
| Area VI: Creative and Fine Arts 1 | 3 | |
| General Education Elective | 4 | |
| Calculus and Analytic Geometry II | 4 | |
| Departmental/College Requirements | ||
| Program Specific Requirements | ||
| Mathematics and Natural Science | 18 | |
| Introduction to Ordinary Differential Equations | 3 | |
| Calculus -Based Physics II and Calculus -Based Physics II Lab | 4 | |
| Introduction to Engineering Mathematics | 4 | |
| Linear Algebra, Probability and Statistics Applications | 4 | |
| Multivariate and Vector Calculus Applications | 3 | |
| STEM | 6 | |
Choose two STEM Electives 3 | ||
| Electrical and Computer Engineering | 43 | |
| DC Circuit Analysis | 4 | |
| Digital Logic | 4 | |
| Introduction to Programming and Embedded Systems | 4 | |
| AC Circuit Analysis | 4 | |
| Cornerstone Design | 2 | |
| Semiconductor Devices and Electronics I | 4 | |
| Signals and Systems I | 3 | |
| Signals and Systems II | 4 | |
| Fields and Waves | 4 | |
| Introduction to Computer Organization | 4 | |
| Engineering Capstone I 4 | 3 | |
| Engineering Capstone II | 3 | |
| E E Concentration Required Courses | 6 | |
| Introduction to Digital Signal Processing 5 | 3 | |
| Machine Learning I 5 | 3 | |
| E E Concentration Electives: Choose two courses from the following (one must be an E E course): 6 | 6-7 | |
| Quantum Computing | 3 | |
| Advanced Image Processing | 3 | |
| Digital Image Processing | 3 | |
| Neural Signal Processing | 3 | |
| Algorithm Design & Implementation | 3 | |
| Data Structures and Algorithms | 0,4 | |
| Introduction to Deep Learning | 3 | |
| Graph Data Mining | 3 | |
| Artificial Intelligence I | 3 | |
| Bioinformatics | 3 | |
| Introduction to Data Mining | 3 | |
| Parallel Programming | 3 | |
| Introduction to Analysis | 3 | |
| Introduction to Geometry | 3 | |
| Introduction to Numerical Methods | 3 | |
| Introduction to Topology | 3 | |
| Applied Linear Algebra | 3 | |
| Advanced Linear Algebra | 3 | |
| Non-Departmental Requirements (in addition to Gen.Ed) | ||
| Viewing a Wider World Electives 7 | 6 | |
| Programming Elective | ||
| Select one course from the following: | 3 | |
| Computer Programming Fundamentals: Python 8 | 3 | |
or CSCI 4520 | Python Programming I | |
| Python Programming II 8 | 3 | |
or CSCI 4525 | Python Programming II | |
| Second Language: (not required) | ||
| Electives, to bring the total credits to 123 | 0 | |
| Total Credits | 123-124 | |
- 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
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, CSCI, 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.
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The prerequisite for ENGR 401 Engineering Capstone I for BSEE students is E E 300 Cornerstone Design.
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Students must take both E E 495 Introduction to Digital Signal Processing and E E 465 Machine Learning I, both of which are offered in the Fall semester.
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Some of these elective courses may have additional prerequisites.
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See the Viewing a Wider World section of the catalog for a full list of courses.
- 8
Only one of the 100-level xor the 400-level course may be taken to satisfy degree requirements. Students may not take the 100-level of a course to satisfy the programming elective requirement and the 400-level of the same course to satisfy other degree requirements.
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 3160 | 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 | |
| Computer Programming Fundamentals: Python or Python Programming I | ||
| Python Programming II or Python Programming II | ||
| General Education Requirement (Area I, IV, V, VI or VWW) 2 | 3 | |
| Credits | 16 | |
| 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 495 | Introduction to Digital Signal Processing 3 | 3 |
| E E 465 | Machine Learning I 3 | 3 |
| STEM Elective 4,5 | 3 | |
| General Education Requirement (Area I, IV, V, VI or VWW) 2 | 3 | |
| Credits | 15 | |
| Spring | ||
| ENGR 402 | Engineering Capstone II | 3 |
| EE Concentration Elective 5,6 | 3-4 | |
| EE Concentration Elective 5,6 | 3 | |
| STEM Elective 4,5 | 3 | |
| General Education Requirement (Area I, IV, V, VI or VWW) 2 | 3 | |
| Credits | 15-16 | |
| Total Credits | 123-124 | |
- 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 495 Introduction to Digital Signal Processing and E E 465 Machine Learning I, both of which are offered in the Fall semester.
- 4
STEM Elective: Course at the 300/3000 level or above from E E that is not used to satisfy any other E E program requirement or courses at the 300/3000 level or above from A E, C E, CHME, I E, M E, ASTR, BIOL, CHEM, CSCI, 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 electives in their final year. Students are strongly advised to consult with their ECE Faculty Mentor for assistance in planning their final year.
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At least one EE Concentration Elective Course must be from the E E Prefix. See E E Concentration Electives in the Degree Requirements section above.